explorers: incomes-across-distribution-lis

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                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices. ",
                    "title": "Median income per year (before tax)",
                    "ySlugs": "median_mi_pc_year",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Median income",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices. ",
                    "title": "Median income per year (after tax vs. before tax)",
                    "ySlugs": "median_mi_pc_year median_dhi_pc_year",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Median income",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per day within the poorest decile (after tax)",
                    "ySlugs": "avg_p10_dhi_eq_day",
                    "subtitle": "The mean income per day within the poorest decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "1 (poorest)",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per day within the poorest decile (before tax)",
                    "ySlugs": "avg_p10_mi_eq_day",
                    "subtitle": "The mean income per day within the poorest decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "1 (poorest)",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per day within the poorest decile (after tax vs. before tax)",
                    "ySlugs": "avg_p10_mi_eq_day avg_p10_dhi_eq_day",
                    "subtitle": "The mean income per day within the poorest decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "1 (poorest)",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per day within the poorest decile (after tax)",
                    "ySlugs": "avg_p10_dhi_pc_day",
                    "subtitle": "The mean income per day within the poorest decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "1 (poorest)",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per day within the poorest decile (before tax)",
                    "ySlugs": "avg_p10_mi_pc_day",
                    "subtitle": "The mean income per day within the poorest decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "1 (poorest)",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per day within the poorest decile (after tax vs. before tax)",
                    "ySlugs": "avg_p10_mi_pc_day avg_p10_dhi_pc_day",
                    "subtitle": "The mean income per day within the poorest decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "1 (poorest)",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per month within the poorest decile (after tax)",
                    "ySlugs": "avg_p10_dhi_eq_month",
                    "subtitle": "The mean income per month within the poorest decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "1 (poorest)",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per month within the poorest decile (before tax)",
                    "ySlugs": "avg_p10_mi_eq_month",
                    "subtitle": "The mean income per month within the poorest decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "1 (poorest)",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per month within the poorest decile (after tax vs. before tax)",
                    "ySlugs": "avg_p10_mi_eq_month avg_p10_dhi_eq_month",
                    "subtitle": "The mean income per month within the poorest decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "1 (poorest)",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per month within the poorest decile (after tax)",
                    "ySlugs": "avg_p10_dhi_pc_month",
                    "subtitle": "The mean income per month within the poorest decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "1 (poorest)",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per month within the poorest decile (before tax)",
                    "ySlugs": "avg_p10_mi_pc_month",
                    "subtitle": "The mean income per month within the poorest decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "1 (poorest)",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per month within the poorest decile (after tax vs. before tax)",
                    "ySlugs": "avg_p10_mi_pc_month avg_p10_dhi_pc_month",
                    "subtitle": "The mean income per month within the poorest decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "1 (poorest)",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per year within the poorest decile (after tax)",
                    "ySlugs": "avg_p10_dhi_eq_year",
                    "subtitle": "The mean income per year within the poorest decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "1 (poorest)",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per year within the poorest decile (before tax)",
                    "ySlugs": "avg_p10_mi_eq_year",
                    "subtitle": "The mean income per year within the poorest decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "1 (poorest)",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per year within the poorest decile (after tax vs. before tax)",
                    "ySlugs": "avg_p10_mi_eq_year avg_p10_dhi_eq_year",
                    "subtitle": "The mean income per year within the poorest decile (tenth of the population).",
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                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "1 (poorest)",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per year within the poorest decile (after tax)",
                    "ySlugs": "avg_p10_dhi_pc_year",
                    "subtitle": "The mean income per year within the poorest decile (tenth of the population). Income here is measured after taxes and benefits.",
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                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "1 (poorest)",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per year within the poorest decile (before tax)",
                    "ySlugs": "avg_p10_mi_pc_year",
                    "subtitle": "The mean income per year within the poorest decile (tenth of the population). Income here is measured before taxes and benefits.",
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                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
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                    "mapTargetTime": "0",
                    "Decile Dropdown": "1 (poorest)",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per year within the poorest decile (after tax vs. before tax)",
                    "ySlugs": "avg_p10_mi_pc_year avg_p10_dhi_pc_year",
                    "subtitle": "The mean income per year within the poorest decile (tenth of the population).",
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                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
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                    "Decile Dropdown": "1 (poorest)",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per day marking the poorest decile (after tax)",
                    "ySlugs": "thr_p10_dhi_eq_day",
                    "subtitle": "The level of income per day below which 10% of the population falls. Income here is measured after taxes and benefits.",
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                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
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                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
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                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per day marking the poorest decile (before tax)",
                    "ySlugs": "thr_p10_mi_eq_day",
                    "subtitle": "The level of income per day below which 10% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
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                    "mapTargetTime": "0",
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                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per day marking the poorest decile (after tax vs. before tax)",
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                    "subtitle": "The level of income per day below which 10% of the population falls.",
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                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
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                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per day marking the poorest decile (after tax)",
                    "ySlugs": "thr_p10_dhi_pc_day",
                    "subtitle": "The level of income per day below which 10% of the population falls. Income here is measured after taxes and benefits.",
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                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
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                    "mapTargetTime": "0",
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                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per day marking the poorest decile (before tax)",
                    "ySlugs": "thr_p10_mi_pc_day",
                    "subtitle": "The level of income per day below which 10% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
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                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "1 (poorest)",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per day marking the poorest decile (after tax vs. before tax)",
                    "ySlugs": "thr_p10_mi_pc_day thr_p10_dhi_pc_day",
                    "subtitle": "The level of income per day below which 10% of the population falls.",
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                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "1 (poorest)",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per month marking the poorest decile (after tax)",
                    "ySlugs": "thr_p10_dhi_eq_month",
                    "subtitle": "The level of income per month below which 10% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "1 (poorest)",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per month marking the poorest decile (before tax)",
                    "ySlugs": "thr_p10_mi_eq_month",
                    "subtitle": "The level of income per month below which 10% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
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                    "mapTargetTime": "0",
                    "Decile Dropdown": "1 (poorest)",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per month marking the poorest decile (after tax vs. before tax)",
                    "ySlugs": "thr_p10_mi_eq_month thr_p10_dhi_eq_month",
                    "subtitle": "The level of income per month below which 10% of the population falls.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
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                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per month marking the poorest decile (after tax)",
                    "ySlugs": "thr_p10_dhi_pc_month",
                    "subtitle": "The level of income per month below which 10% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "1 (poorest)",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per month marking the poorest decile (before tax)",
                    "ySlugs": "thr_p10_mi_pc_month",
                    "subtitle": "The level of income per month below which 10% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "1 (poorest)",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per month marking the poorest decile (after tax vs. before tax)",
                    "ySlugs": "thr_p10_mi_pc_month thr_p10_dhi_pc_month",
                    "subtitle": "The level of income per month below which 10% of the population falls.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "1 (poorest)",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per year marking the poorest decile (after tax)",
                    "ySlugs": "thr_p10_dhi_eq_year",
                    "subtitle": "The level of income per year below which 10% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "1 (poorest)",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per year marking the poorest decile (before tax)",
                    "ySlugs": "thr_p10_mi_eq_year",
                    "subtitle": "The level of income per year below which 10% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "1 (poorest)",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per year marking the poorest decile (after tax vs. before tax)",
                    "ySlugs": "thr_p10_mi_eq_year thr_p10_dhi_eq_year",
                    "subtitle": "The level of income per year below which 10% of the population falls.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "1 (poorest)",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per year marking the poorest decile (after tax)",
                    "ySlugs": "thr_p10_dhi_pc_year",
                    "subtitle": "The level of income per year below which 10% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "1 (poorest)",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per year marking the poorest decile (before tax)",
                    "ySlugs": "thr_p10_mi_pc_year",
                    "subtitle": "The level of income per year below which 10% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "1 (poorest)",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per year marking the poorest decile (after tax vs. before tax)",
                    "ySlugs": "thr_p10_mi_pc_year thr_p10_dhi_pc_year",
                    "subtitle": "The level of income per year below which 10% of the population falls.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "1 (poorest)",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Income share of the poorest decile (after tax)",
                    "ySlugs": "share_p10_dhi_eq",
                    "subtitle": "The share of income received by the poorest decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "1 (poorest)",
                    "Indicator Dropdown": "Decile shares",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Income share of the poorest decile (before tax)",
                    "ySlugs": "share_p10_mi_eq",
                    "subtitle": "The share of income received by the poorest decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "1 (poorest)",
                    "Indicator Dropdown": "Decile shares",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Income share of the poorest decile (after tax vs. before tax)",
                    "ySlugs": "share_p10_mi_eq share_p10_dhi_eq",
                    "subtitle": "The share of income received by the poorest decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "1 (poorest)",
                    "Indicator Dropdown": "Decile shares",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "title": "Income share of the poorest decile (after tax)",
                    "ySlugs": "share_p10_dhi_pc",
                    "subtitle": "The share of income received by the poorest decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "1 (poorest)",
                    "Indicator Dropdown": "Decile shares",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "title": "Income share of the poorest decile (before tax)",
                    "ySlugs": "share_p10_mi_pc",
                    "subtitle": "The share of income received by the poorest decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "1 (poorest)",
                    "Indicator Dropdown": "Decile shares",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "title": "Income share of the poorest decile (after tax vs. before tax)",
                    "ySlugs": "share_p10_mi_pc share_p10_dhi_pc",
                    "subtitle": "The share of income received by the poorest decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "1 (poorest)",
                    "Indicator Dropdown": "Decile shares",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per day within the 2nd decile (after tax)",
                    "ySlugs": "avg_p20_dhi_eq_day",
                    "subtitle": "The mean income per day within the 2nd decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per day within the 2nd decile (before tax)",
                    "ySlugs": "avg_p20_mi_eq_day",
                    "subtitle": "The mean income per day within the 2nd decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per day within the 2nd decile (after tax vs. before tax)",
                    "ySlugs": "avg_p20_mi_eq_day avg_p20_dhi_eq_day",
                    "subtitle": "The mean income per day within the 2nd decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per day within the 2nd decile (after tax)",
                    "ySlugs": "avg_p20_dhi_pc_day",
                    "subtitle": "The mean income per day within the 2nd decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per day within the 2nd decile (before tax)",
                    "ySlugs": "avg_p20_mi_pc_day",
                    "subtitle": "The mean income per day within the 2nd decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per day within the 2nd decile (after tax vs. before tax)",
                    "ySlugs": "avg_p20_mi_pc_day avg_p20_dhi_pc_day",
                    "subtitle": "The mean income per day within the 2nd decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per month within the 2nd decile (after tax)",
                    "ySlugs": "avg_p20_dhi_eq_month",
                    "subtitle": "The mean income per month within the 2nd decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per month within the 2nd decile (before tax)",
                    "ySlugs": "avg_p20_mi_eq_month",
                    "subtitle": "The mean income per month within the 2nd decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per month within the 2nd decile (after tax vs. before tax)",
                    "ySlugs": "avg_p20_mi_eq_month avg_p20_dhi_eq_month",
                    "subtitle": "The mean income per month within the 2nd decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per month within the 2nd decile (after tax)",
                    "ySlugs": "avg_p20_dhi_pc_month",
                    "subtitle": "The mean income per month within the 2nd decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per month within the 2nd decile (before tax)",
                    "ySlugs": "avg_p20_mi_pc_month",
                    "subtitle": "The mean income per month within the 2nd decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per month within the 2nd decile (after tax vs. before tax)",
                    "ySlugs": "avg_p20_mi_pc_month avg_p20_dhi_pc_month",
                    "subtitle": "The mean income per month within the 2nd decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per year within the 2nd decile (after tax)",
                    "ySlugs": "avg_p20_dhi_eq_year",
                    "subtitle": "The mean income per year within the 2nd decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per year within the 2nd decile (before tax)",
                    "ySlugs": "avg_p20_mi_eq_year",
                    "subtitle": "The mean income per year within the 2nd decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per year within the 2nd decile (after tax vs. before tax)",
                    "ySlugs": "avg_p20_mi_eq_year avg_p20_dhi_eq_year",
                    "subtitle": "The mean income per year within the 2nd decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per year within the 2nd decile (after tax)",
                    "ySlugs": "avg_p20_dhi_pc_year",
                    "subtitle": "The mean income per year within the 2nd decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per year within the 2nd decile (before tax)",
                    "ySlugs": "avg_p20_mi_pc_year",
                    "subtitle": "The mean income per year within the 2nd decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per year within the 2nd decile (after tax vs. before tax)",
                    "ySlugs": "avg_p20_mi_pc_year avg_p20_dhi_pc_year",
                    "subtitle": "The mean income per year within the 2nd decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per day marking the 2nd decile (after tax)",
                    "ySlugs": "thr_p20_dhi_eq_day",
                    "subtitle": "The level of income per day below which 20% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per day marking the 2nd decile (before tax)",
                    "ySlugs": "thr_p20_mi_eq_day",
                    "subtitle": "The level of income per day below which 20% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per day marking the 2nd decile (after tax vs. before tax)",
                    "ySlugs": "thr_p20_mi_eq_day thr_p20_dhi_eq_day",
                    "subtitle": "The level of income per day below which 20% of the population falls.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per day marking the 2nd decile (after tax)",
                    "ySlugs": "thr_p20_dhi_pc_day",
                    "subtitle": "The level of income per day below which 20% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per day marking the 2nd decile (before tax)",
                    "ySlugs": "thr_p20_mi_pc_day",
                    "subtitle": "The level of income per day below which 20% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per day marking the 2nd decile (after tax vs. before tax)",
                    "ySlugs": "thr_p20_mi_pc_day thr_p20_dhi_pc_day",
                    "subtitle": "The level of income per day below which 20% of the population falls.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per month marking the 2nd decile (after tax)",
                    "ySlugs": "thr_p20_dhi_eq_month",
                    "subtitle": "The level of income per month below which 20% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per month marking the 2nd decile (before tax)",
                    "ySlugs": "thr_p20_mi_eq_month",
                    "subtitle": "The level of income per month below which 20% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per month marking the 2nd decile (after tax vs. before tax)",
                    "ySlugs": "thr_p20_mi_eq_month thr_p20_dhi_eq_month",
                    "subtitle": "The level of income per month below which 20% of the population falls.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per month marking the 2nd decile (after tax)",
                    "ySlugs": "thr_p20_dhi_pc_month",
                    "subtitle": "The level of income per month below which 20% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per month marking the 2nd decile (before tax)",
                    "ySlugs": "thr_p20_mi_pc_month",
                    "subtitle": "The level of income per month below which 20% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per month marking the 2nd decile (after tax vs. before tax)",
                    "ySlugs": "thr_p20_mi_pc_month thr_p20_dhi_pc_month",
                    "subtitle": "The level of income per month below which 20% of the population falls.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per year marking the 2nd decile (after tax)",
                    "ySlugs": "thr_p20_dhi_eq_year",
                    "subtitle": "The level of income per year below which 20% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per year marking the 2nd decile (before tax)",
                    "ySlugs": "thr_p20_mi_eq_year",
                    "subtitle": "The level of income per year below which 20% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per year marking the 2nd decile (after tax vs. before tax)",
                    "ySlugs": "thr_p20_mi_eq_year thr_p20_dhi_eq_year",
                    "subtitle": "The level of income per year below which 20% of the population falls.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per year marking the 2nd decile (after tax)",
                    "ySlugs": "thr_p20_dhi_pc_year",
                    "subtitle": "The level of income per year below which 20% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per year marking the 2nd decile (before tax)",
                    "ySlugs": "thr_p20_mi_pc_year",
                    "subtitle": "The level of income per year below which 20% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per year marking the 2nd decile (after tax vs. before tax)",
                    "ySlugs": "thr_p20_mi_pc_year thr_p20_dhi_pc_year",
                    "subtitle": "The level of income per year below which 20% of the population falls.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Income share of the 2nd decile (after tax)",
                    "ySlugs": "share_p20_dhi_eq",
                    "subtitle": "The share of income received by the 2nd decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Decile shares",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Income share of the 2nd decile (before tax)",
                    "ySlugs": "share_p20_mi_eq",
                    "subtitle": "The share of income received by the 2nd decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Decile shares",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Income share of the 2nd decile (after tax vs. before tax)",
                    "ySlugs": "share_p20_mi_eq share_p20_dhi_eq",
                    "subtitle": "The share of income received by the 2nd decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Decile shares",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "title": "Income share of the 2nd decile (after tax)",
                    "ySlugs": "share_p20_dhi_pc",
                    "subtitle": "The share of income received by the 2nd decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Decile shares",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "title": "Income share of the 2nd decile (before tax)",
                    "ySlugs": "share_p20_mi_pc",
                    "subtitle": "The share of income received by the 2nd decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Decile shares",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "title": "Income share of the 2nd decile (after tax vs. before tax)",
                    "ySlugs": "share_p20_mi_pc share_p20_dhi_pc",
                    "subtitle": "The share of income received by the 2nd decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "2",
                    "Indicator Dropdown": "Decile shares",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per day within the 3rd decile (after tax)",
                    "ySlugs": "avg_p30_dhi_eq_day",
                    "subtitle": "The mean income per day within the 3rd decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per day within the 3rd decile (before tax)",
                    "ySlugs": "avg_p30_mi_eq_day",
                    "subtitle": "The mean income per day within the 3rd decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per day within the 3rd decile (after tax vs. before tax)",
                    "ySlugs": "avg_p30_mi_eq_day avg_p30_dhi_eq_day",
                    "subtitle": "The mean income per day within the 3rd decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per day within the 3rd decile (after tax)",
                    "ySlugs": "avg_p30_dhi_pc_day",
                    "subtitle": "The mean income per day within the 3rd decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per day within the 3rd decile (before tax)",
                    "ySlugs": "avg_p30_mi_pc_day",
                    "subtitle": "The mean income per day within the 3rd decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per day within the 3rd decile (after tax vs. before tax)",
                    "ySlugs": "avg_p30_mi_pc_day avg_p30_dhi_pc_day",
                    "subtitle": "The mean income per day within the 3rd decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per month within the 3rd decile (after tax)",
                    "ySlugs": "avg_p30_dhi_eq_month",
                    "subtitle": "The mean income per month within the 3rd decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per month within the 3rd decile (before tax)",
                    "ySlugs": "avg_p30_mi_eq_month",
                    "subtitle": "The mean income per month within the 3rd decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per month within the 3rd decile (after tax vs. before tax)",
                    "ySlugs": "avg_p30_mi_eq_month avg_p30_dhi_eq_month",
                    "subtitle": "The mean income per month within the 3rd decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per month within the 3rd decile (after tax)",
                    "ySlugs": "avg_p30_dhi_pc_month",
                    "subtitle": "The mean income per month within the 3rd decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per month within the 3rd decile (before tax)",
                    "ySlugs": "avg_p30_mi_pc_month",
                    "subtitle": "The mean income per month within the 3rd decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per month within the 3rd decile (after tax vs. before tax)",
                    "ySlugs": "avg_p30_mi_pc_month avg_p30_dhi_pc_month",
                    "subtitle": "The mean income per month within the 3rd decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per year within the 3rd decile (after tax)",
                    "ySlugs": "avg_p30_dhi_eq_year",
                    "subtitle": "The mean income per year within the 3rd decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per year within the 3rd decile (before tax)",
                    "ySlugs": "avg_p30_mi_eq_year",
                    "subtitle": "The mean income per year within the 3rd decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per year within the 3rd decile (after tax vs. before tax)",
                    "ySlugs": "avg_p30_mi_eq_year avg_p30_dhi_eq_year",
                    "subtitle": "The mean income per year within the 3rd decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per year within the 3rd decile (after tax)",
                    "ySlugs": "avg_p30_dhi_pc_year",
                    "subtitle": "The mean income per year within the 3rd decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per year within the 3rd decile (before tax)",
                    "ySlugs": "avg_p30_mi_pc_year",
                    "subtitle": "The mean income per year within the 3rd decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per year within the 3rd decile (after tax vs. before tax)",
                    "ySlugs": "avg_p30_mi_pc_year avg_p30_dhi_pc_year",
                    "subtitle": "The mean income per year within the 3rd decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per day marking the 3rd decile (after tax)",
                    "ySlugs": "thr_p30_dhi_eq_day",
                    "subtitle": "The level of income per day below which 30% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per day marking the 3rd decile (before tax)",
                    "ySlugs": "thr_p30_mi_eq_day",
                    "subtitle": "The level of income per day below which 30% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per day marking the 3rd decile (after tax vs. before tax)",
                    "ySlugs": "thr_p30_mi_eq_day thr_p30_dhi_eq_day",
                    "subtitle": "The level of income per day below which 30% of the population falls.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per day marking the 3rd decile (after tax)",
                    "ySlugs": "thr_p30_dhi_pc_day",
                    "subtitle": "The level of income per day below which 30% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per day marking the 3rd decile (before tax)",
                    "ySlugs": "thr_p30_mi_pc_day",
                    "subtitle": "The level of income per day below which 30% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per day marking the 3rd decile (after tax vs. before tax)",
                    "ySlugs": "thr_p30_mi_pc_day thr_p30_dhi_pc_day",
                    "subtitle": "The level of income per day below which 30% of the population falls.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per month marking the 3rd decile (after tax)",
                    "ySlugs": "thr_p30_dhi_eq_month",
                    "subtitle": "The level of income per month below which 30% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per month marking the 3rd decile (before tax)",
                    "ySlugs": "thr_p30_mi_eq_month",
                    "subtitle": "The level of income per month below which 30% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per month marking the 3rd decile (after tax vs. before tax)",
                    "ySlugs": "thr_p30_mi_eq_month thr_p30_dhi_eq_month",
                    "subtitle": "The level of income per month below which 30% of the population falls.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per month marking the 3rd decile (after tax)",
                    "ySlugs": "thr_p30_dhi_pc_month",
                    "subtitle": "The level of income per month below which 30% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
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                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per month marking the 3rd decile (before tax)",
                    "ySlugs": "thr_p30_mi_pc_month",
                    "subtitle": "The level of income per month below which 30% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per month marking the 3rd decile (after tax vs. before tax)",
                    "ySlugs": "thr_p30_mi_pc_month thr_p30_dhi_pc_month",
                    "subtitle": "The level of income per month below which 30% of the population falls.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per year marking the 3rd decile (after tax)",
                    "ySlugs": "thr_p30_dhi_eq_year",
                    "subtitle": "The level of income per year below which 30% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per year marking the 3rd decile (before tax)",
                    "ySlugs": "thr_p30_mi_eq_year",
                    "subtitle": "The level of income per year below which 30% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per year marking the 3rd decile (after tax vs. before tax)",
                    "ySlugs": "thr_p30_mi_eq_year thr_p30_dhi_eq_year",
                    "subtitle": "The level of income per year below which 30% of the population falls.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per year marking the 3rd decile (after tax)",
                    "ySlugs": "thr_p30_dhi_pc_year",
                    "subtitle": "The level of income per year below which 30% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per year marking the 3rd decile (before tax)",
                    "ySlugs": "thr_p30_mi_pc_year",
                    "subtitle": "The level of income per year below which 30% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per year marking the 3rd decile (after tax vs. before tax)",
                    "ySlugs": "thr_p30_mi_pc_year thr_p30_dhi_pc_year",
                    "subtitle": "The level of income per year below which 30% of the population falls.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Income share of the 3rd decile (after tax)",
                    "ySlugs": "share_p30_dhi_eq",
                    "subtitle": "The share of income received by the 3rd decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Decile shares",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Income share of the 3rd decile (before tax)",
                    "ySlugs": "share_p30_mi_eq",
                    "subtitle": "The share of income received by the 3rd decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Decile shares",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Income share of the 3rd decile (after tax vs. before tax)",
                    "ySlugs": "share_p30_mi_eq share_p30_dhi_eq",
                    "subtitle": "The share of income received by the 3rd decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Decile shares",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "title": "Income share of the 3rd decile (after tax)",
                    "ySlugs": "share_p30_dhi_pc",
                    "subtitle": "The share of income received by the 3rd decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Decile shares",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "title": "Income share of the 3rd decile (before tax)",
                    "ySlugs": "share_p30_mi_pc",
                    "subtitle": "The share of income received by the 3rd decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Decile shares",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "title": "Income share of the 3rd decile (after tax vs. before tax)",
                    "ySlugs": "share_p30_mi_pc share_p30_dhi_pc",
                    "subtitle": "The share of income received by the 3rd decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "3",
                    "Indicator Dropdown": "Decile shares",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per day within the 4th decile (after tax)",
                    "ySlugs": "avg_p40_dhi_eq_day",
                    "subtitle": "The mean income per day within the 4th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per day within the 4th decile (before tax)",
                    "ySlugs": "avg_p40_mi_eq_day",
                    "subtitle": "The mean income per day within the 4th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per day within the 4th decile (after tax vs. before tax)",
                    "ySlugs": "avg_p40_mi_eq_day avg_p40_dhi_eq_day",
                    "subtitle": "The mean income per day within the 4th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per day within the 4th decile (after tax)",
                    "ySlugs": "avg_p40_dhi_pc_day",
                    "subtitle": "The mean income per day within the 4th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per day within the 4th decile (before tax)",
                    "ySlugs": "avg_p40_mi_pc_day",
                    "subtitle": "The mean income per day within the 4th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per day within the 4th decile (after tax vs. before tax)",
                    "ySlugs": "avg_p40_mi_pc_day avg_p40_dhi_pc_day",
                    "subtitle": "The mean income per day within the 4th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per month within the 4th decile (after tax)",
                    "ySlugs": "avg_p40_dhi_eq_month",
                    "subtitle": "The mean income per month within the 4th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per month within the 4th decile (before tax)",
                    "ySlugs": "avg_p40_mi_eq_month",
                    "subtitle": "The mean income per month within the 4th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per month within the 4th decile (after tax vs. before tax)",
                    "ySlugs": "avg_p40_mi_eq_month avg_p40_dhi_eq_month",
                    "subtitle": "The mean income per month within the 4th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per month within the 4th decile (after tax)",
                    "ySlugs": "avg_p40_dhi_pc_month",
                    "subtitle": "The mean income per month within the 4th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per month within the 4th decile (before tax)",
                    "ySlugs": "avg_p40_mi_pc_month",
                    "subtitle": "The mean income per month within the 4th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per month within the 4th decile (after tax vs. before tax)",
                    "ySlugs": "avg_p40_mi_pc_month avg_p40_dhi_pc_month",
                    "subtitle": "The mean income per month within the 4th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per year within the 4th decile (after tax)",
                    "ySlugs": "avg_p40_dhi_eq_year",
                    "subtitle": "The mean income per year within the 4th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per year within the 4th decile (before tax)",
                    "ySlugs": "avg_p40_mi_eq_year",
                    "subtitle": "The mean income per year within the 4th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per year within the 4th decile (after tax vs. before tax)",
                    "ySlugs": "avg_p40_mi_eq_year avg_p40_dhi_eq_year",
                    "subtitle": "The mean income per year within the 4th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per year within the 4th decile (after tax)",
                    "ySlugs": "avg_p40_dhi_pc_year",
                    "subtitle": "The mean income per year within the 4th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per year within the 4th decile (before tax)",
                    "ySlugs": "avg_p40_mi_pc_year",
                    "subtitle": "The mean income per year within the 4th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per year within the 4th decile (after tax vs. before tax)",
                    "ySlugs": "avg_p40_mi_pc_year avg_p40_dhi_pc_year",
                    "subtitle": "The mean income per year within the 4th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per day marking the 4th decile (after tax)",
                    "ySlugs": "thr_p40_dhi_eq_day",
                    "subtitle": "The level of income per day below which 40% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per day marking the 4th decile (before tax)",
                    "ySlugs": "thr_p40_mi_eq_day",
                    "subtitle": "The level of income per day below which 40% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per day marking the 4th decile (after tax vs. before tax)",
                    "ySlugs": "thr_p40_mi_eq_day thr_p40_dhi_eq_day",
                    "subtitle": "The level of income per day below which 40% of the population falls.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per day marking the 4th decile (after tax)",
                    "ySlugs": "thr_p40_dhi_pc_day",
                    "subtitle": "The level of income per day below which 40% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per day marking the 4th decile (before tax)",
                    "ySlugs": "thr_p40_mi_pc_day",
                    "subtitle": "The level of income per day below which 40% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per day marking the 4th decile (after tax vs. before tax)",
                    "ySlugs": "thr_p40_mi_pc_day thr_p40_dhi_pc_day",
                    "subtitle": "The level of income per day below which 40% of the population falls.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per month marking the 4th decile (after tax)",
                    "ySlugs": "thr_p40_dhi_eq_month",
                    "subtitle": "The level of income per month below which 40% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per month marking the 4th decile (before tax)",
                    "ySlugs": "thr_p40_mi_eq_month",
                    "subtitle": "The level of income per month below which 40% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per month marking the 4th decile (after tax vs. before tax)",
                    "ySlugs": "thr_p40_mi_eq_month thr_p40_dhi_eq_month",
                    "subtitle": "The level of income per month below which 40% of the population falls.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per month marking the 4th decile (after tax)",
                    "ySlugs": "thr_p40_dhi_pc_month",
                    "subtitle": "The level of income per month below which 40% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per month marking the 4th decile (before tax)",
                    "ySlugs": "thr_p40_mi_pc_month",
                    "subtitle": "The level of income per month below which 40% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per month marking the 4th decile (after tax vs. before tax)",
                    "ySlugs": "thr_p40_mi_pc_month thr_p40_dhi_pc_month",
                    "subtitle": "The level of income per month below which 40% of the population falls.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per year marking the 4th decile (after tax)",
                    "ySlugs": "thr_p40_dhi_eq_year",
                    "subtitle": "The level of income per year below which 40% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per year marking the 4th decile (before tax)",
                    "ySlugs": "thr_p40_mi_eq_year",
                    "subtitle": "The level of income per year below which 40% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per year marking the 4th decile (after tax vs. before tax)",
                    "ySlugs": "thr_p40_mi_eq_year thr_p40_dhi_eq_year",
                    "subtitle": "The level of income per year below which 40% of the population falls.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per year marking the 4th decile (after tax)",
                    "ySlugs": "thr_p40_dhi_pc_year",
                    "subtitle": "The level of income per year below which 40% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per year marking the 4th decile (before tax)",
                    "ySlugs": "thr_p40_mi_pc_year",
                    "subtitle": "The level of income per year below which 40% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per year marking the 4th decile (after tax vs. before tax)",
                    "ySlugs": "thr_p40_mi_pc_year thr_p40_dhi_pc_year",
                    "subtitle": "The level of income per year below which 40% of the population falls.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Income share of the 4th decile (after tax)",
                    "ySlugs": "share_p40_dhi_eq",
                    "subtitle": "The share of income received by the 4th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Decile shares",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Income share of the 4th decile (before tax)",
                    "ySlugs": "share_p40_mi_eq",
                    "subtitle": "The share of income received by the 4th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Decile shares",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Income share of the 4th decile (after tax vs. before tax)",
                    "ySlugs": "share_p40_mi_eq share_p40_dhi_eq",
                    "subtitle": "The share of income received by the 4th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Decile shares",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "title": "Income share of the 4th decile (after tax)",
                    "ySlugs": "share_p40_dhi_pc",
                    "subtitle": "The share of income received by the 4th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Decile shares",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "title": "Income share of the 4th decile (before tax)",
                    "ySlugs": "share_p40_mi_pc",
                    "subtitle": "The share of income received by the 4th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Decile shares",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "title": "Income share of the 4th decile (after tax vs. before tax)",
                    "ySlugs": "share_p40_mi_pc share_p40_dhi_pc",
                    "subtitle": "The share of income received by the 4th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "4",
                    "Indicator Dropdown": "Decile shares",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per day within the 5th decile (after tax)",
                    "ySlugs": "avg_p50_dhi_eq_day",
                    "subtitle": "The mean income per day within the 5th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per day within the 5th decile (before tax)",
                    "ySlugs": "avg_p50_mi_eq_day",
                    "subtitle": "The mean income per day within the 5th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per day within the 5th decile (after tax vs. before tax)",
                    "ySlugs": "avg_p50_mi_eq_day avg_p50_dhi_eq_day",
                    "subtitle": "The mean income per day within the 5th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per day within the 5th decile (after tax)",
                    "ySlugs": "avg_p50_dhi_pc_day",
                    "subtitle": "The mean income per day within the 5th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per day within the 5th decile (before tax)",
                    "ySlugs": "avg_p50_mi_pc_day",
                    "subtitle": "The mean income per day within the 5th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per day within the 5th decile (after tax vs. before tax)",
                    "ySlugs": "avg_p50_mi_pc_day avg_p50_dhi_pc_day",
                    "subtitle": "The mean income per day within the 5th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per month within the 5th decile (after tax)",
                    "ySlugs": "avg_p50_dhi_eq_month",
                    "subtitle": "The mean income per month within the 5th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per month within the 5th decile (before tax)",
                    "ySlugs": "avg_p50_mi_eq_month",
                    "subtitle": "The mean income per month within the 5th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per month within the 5th decile (after tax vs. before tax)",
                    "ySlugs": "avg_p50_mi_eq_month avg_p50_dhi_eq_month",
                    "subtitle": "The mean income per month within the 5th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per month within the 5th decile (after tax)",
                    "ySlugs": "avg_p50_dhi_pc_month",
                    "subtitle": "The mean income per month within the 5th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per month within the 5th decile (before tax)",
                    "ySlugs": "avg_p50_mi_pc_month",
                    "subtitle": "The mean income per month within the 5th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per month within the 5th decile (after tax vs. before tax)",
                    "ySlugs": "avg_p50_mi_pc_month avg_p50_dhi_pc_month",
                    "subtitle": "The mean income per month within the 5th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per year within the 5th decile (after tax)",
                    "ySlugs": "avg_p50_dhi_eq_year",
                    "subtitle": "The mean income per year within the 5th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per year within the 5th decile (before tax)",
                    "ySlugs": "avg_p50_mi_eq_year",
                    "subtitle": "The mean income per year within the 5th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per year within the 5th decile (after tax vs. before tax)",
                    "ySlugs": "avg_p50_mi_eq_year avg_p50_dhi_eq_year",
                    "subtitle": "The mean income per year within the 5th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per year within the 5th decile (after tax)",
                    "ySlugs": "avg_p50_dhi_pc_year",
                    "subtitle": "The mean income per year within the 5th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per year within the 5th decile (before tax)",
                    "ySlugs": "avg_p50_mi_pc_year",
                    "subtitle": "The mean income per year within the 5th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per year within the 5th decile (after tax vs. before tax)",
                    "ySlugs": "avg_p50_mi_pc_year avg_p50_dhi_pc_year",
                    "subtitle": "The mean income per year within the 5th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Income share of the 5th decile (after tax)",
                    "ySlugs": "share_p50_dhi_eq",
                    "subtitle": "The share of income received by the 5th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5",
                    "Indicator Dropdown": "Decile shares",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Income share of the 5th decile (before tax)",
                    "ySlugs": "share_p50_mi_eq",
                    "subtitle": "The share of income received by the 5th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5",
                    "Indicator Dropdown": "Decile shares",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Income share of the 5th decile (after tax vs. before tax)",
                    "ySlugs": "share_p50_mi_eq share_p50_dhi_eq",
                    "subtitle": "The share of income received by the 5th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5",
                    "Indicator Dropdown": "Decile shares",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "title": "Income share of the 5th decile (after tax)",
                    "ySlugs": "share_p50_dhi_pc",
                    "subtitle": "The share of income received by the 5th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5",
                    "Indicator Dropdown": "Decile shares",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "title": "Income share of the 5th decile (before tax)",
                    "ySlugs": "share_p50_mi_pc",
                    "subtitle": "The share of income received by the 5th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5",
                    "Indicator Dropdown": "Decile shares",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "title": "Income share of the 5th decile (after tax vs. before tax)",
                    "ySlugs": "share_p50_mi_pc share_p50_dhi_pc",
                    "subtitle": "The share of income received by the 5th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5",
                    "Indicator Dropdown": "Decile shares",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per day marking the 5th decile (median) (after tax)",
                    "ySlugs": "thr_p50_dhi_eq_day",
                    "subtitle": "The level of income per day below which 50% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5 (median)",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per day marking the 5th decile (median) (before tax)",
                    "ySlugs": "thr_p50_mi_eq_day",
                    "subtitle": "The level of income per day below which 50% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5 (median)",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per day marking the 5th decile (median) (after tax vs. before tax)",
                    "ySlugs": "thr_p50_mi_eq_day thr_p50_dhi_eq_day",
                    "subtitle": "The level of income per day below which 50% of the population falls.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5 (median)",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per day marking the 5th decile (median) (after tax)",
                    "ySlugs": "thr_p50_dhi_pc_day",
                    "subtitle": "The level of income per day below which 50% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5 (median)",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per day marking the 5th decile (median) (before tax)",
                    "ySlugs": "thr_p50_mi_pc_day",
                    "subtitle": "The level of income per day below which 50% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5 (median)",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per day marking the 5th decile (median) (after tax vs. before tax)",
                    "ySlugs": "thr_p50_mi_pc_day thr_p50_dhi_pc_day",
                    "subtitle": "The level of income per day below which 50% of the population falls.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5 (median)",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per month marking the 5th decile (median) (after tax)",
                    "ySlugs": "thr_p50_dhi_eq_month",
                    "subtitle": "The level of income per month below which 50% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5 (median)",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per month marking the 5th decile (median) (before tax)",
                    "ySlugs": "thr_p50_mi_eq_month",
                    "subtitle": "The level of income per month below which 50% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5 (median)",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per month marking the 5th decile (median) (after tax vs. before tax)",
                    "ySlugs": "thr_p50_mi_eq_month thr_p50_dhi_eq_month",
                    "subtitle": "The level of income per month below which 50% of the population falls.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5 (median)",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per month marking the 5th decile (median) (after tax)",
                    "ySlugs": "thr_p50_dhi_pc_month",
                    "subtitle": "The level of income per month below which 50% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5 (median)",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per month marking the 5th decile (median) (before tax)",
                    "ySlugs": "thr_p50_mi_pc_month",
                    "subtitle": "The level of income per month below which 50% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5 (median)",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per month marking the 5th decile (median) (after tax vs. before tax)",
                    "ySlugs": "thr_p50_mi_pc_month thr_p50_dhi_pc_month",
                    "subtitle": "The level of income per month below which 50% of the population falls.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5 (median)",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per year marking the 5th decile (median) (after tax)",
                    "ySlugs": "thr_p50_dhi_eq_year",
                    "subtitle": "The level of income per year below which 50% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5 (median)",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per year marking the 5th decile (median) (before tax)",
                    "ySlugs": "thr_p50_mi_eq_year",
                    "subtitle": "The level of income per year below which 50% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5 (median)",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per year marking the 5th decile (median) (after tax vs. before tax)",
                    "ySlugs": "thr_p50_mi_eq_year thr_p50_dhi_eq_year",
                    "subtitle": "The level of income per year below which 50% of the population falls.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5 (median)",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per year marking the 5th decile (median) (after tax)",
                    "ySlugs": "thr_p50_dhi_pc_year",
                    "subtitle": "The level of income per year below which 50% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5 (median)",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per year marking the 5th decile (median) (before tax)",
                    "ySlugs": "thr_p50_mi_pc_year",
                    "subtitle": "The level of income per year below which 50% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5 (median)",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per year marking the 5th decile (median) (after tax vs. before tax)",
                    "ySlugs": "thr_p50_mi_pc_year thr_p50_dhi_pc_year",
                    "subtitle": "The level of income per year below which 50% of the population falls.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "5 (median)",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per day within the 6th decile (after tax)",
                    "ySlugs": "avg_p60_dhi_eq_day",
                    "subtitle": "The mean income per day within the 6th decile (tenth of the population). Income here is measured after taxes and benefits.",
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                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
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                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "6",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per day within the 6th decile (before tax)",
                    "ySlugs": "avg_p60_mi_eq_day",
                    "subtitle": "The mean income per day within the 6th decile (tenth of the population). Income here is measured before taxes and benefits.",
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                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "6",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per day within the 6th decile (after tax vs. before tax)",
                    "ySlugs": "avg_p60_mi_eq_day avg_p60_dhi_eq_day",
                    "subtitle": "The mean income per day within the 6th decile (tenth of the population).",
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                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "6",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per day within the 6th decile (after tax)",
                    "ySlugs": "avg_p60_dhi_pc_day",
                    "subtitle": "The mean income per day within the 6th decile (tenth of the population). Income here is measured after taxes and benefits.",
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                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
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                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "6",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per day within the 6th decile (before tax)",
                    "ySlugs": "avg_p60_mi_pc_day",
                    "subtitle": "The mean income per day within the 6th decile (tenth of the population). Income here is measured before taxes and benefits.",
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                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
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                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
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                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per day within the 6th decile (after tax vs. before tax)",
                    "ySlugs": "avg_p60_mi_pc_day avg_p60_dhi_pc_day",
                    "subtitle": "The mean income per day within the 6th decile (tenth of the population).",
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                    "Period Radio": "Day",
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                    "mapTargetTime": "0",
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                    "Indicator Dropdown": "Mean income, by decile",
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                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per month within the 6th decile (after tax)",
                    "ySlugs": "avg_p60_dhi_eq_month",
                    "subtitle": "The mean income per month within the 6th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "6",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per month within the 6th decile (before tax)",
                    "ySlugs": "avg_p60_mi_eq_month",
                    "subtitle": "The mean income per month within the 6th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "6",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per month within the 6th decile (after tax vs. before tax)",
                    "ySlugs": "avg_p60_mi_eq_month avg_p60_dhi_eq_month",
                    "subtitle": "The mean income per month within the 6th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "6",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per month within the 6th decile (after tax)",
                    "ySlugs": "avg_p60_dhi_pc_month",
                    "subtitle": "The mean income per month within the 6th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "6",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per month within the 6th decile (before tax)",
                    "ySlugs": "avg_p60_mi_pc_month",
                    "subtitle": "The mean income per month within the 6th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "6",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per month within the 6th decile (after tax vs. before tax)",
                    "ySlugs": "avg_p60_mi_pc_month avg_p60_dhi_pc_month",
                    "subtitle": "The mean income per month within the 6th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "6",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per year within the 6th decile (after tax)",
                    "ySlugs": "avg_p60_dhi_eq_year",
                    "subtitle": "The mean income per year within the 6th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "6",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per year within the 6th decile (before tax)",
                    "ySlugs": "avg_p60_mi_eq_year",
                    "subtitle": "The mean income per year within the 6th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "6",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per year within the 6th decile (after tax vs. before tax)",
                    "ySlugs": "avg_p60_mi_eq_year avg_p60_dhi_eq_year",
                    "subtitle": "The mean income per year within the 6th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "6",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per year within the 6th decile (after tax)",
                    "ySlugs": "avg_p60_dhi_pc_year",
                    "subtitle": "The mean income per year within the 6th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "6",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per year within the 6th decile (before tax)",
                    "ySlugs": "avg_p60_mi_pc_year",
                    "subtitle": "The mean income per year within the 6th decile (tenth of the population). Income here is measured before taxes and benefits.",
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                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
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                    "mapTargetTime": "0",
                    "Decile Dropdown": "6",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per year within the 6th decile (after tax vs. before tax)",
                    "ySlugs": "avg_p60_mi_pc_year avg_p60_dhi_pc_year",
                    "subtitle": "The mean income per year within the 6th decile (tenth of the population).",
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                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per day marking the 6th decile (after tax)",
                    "ySlugs": "thr_p60_dhi_eq_day",
                    "subtitle": "The level of income per day below which 60% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
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                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per day marking the 6th decile (before tax)",
                    "ySlugs": "thr_p60_mi_eq_day",
                    "subtitle": "The level of income per day below which 60% of the population falls. Income here is measured before taxes and benefits.",
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                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
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                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
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                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per day marking the 6th decile (after tax vs. before tax)",
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                    "subtitle": "The level of income per day below which 60% of the population falls.",
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                    "tableSlug": "lis_vars",
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                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per day marking the 6th decile (after tax)",
                    "ySlugs": "thr_p60_dhi_pc_day",
                    "subtitle": "The level of income per day below which 60% of the population falls. Income here is measured after taxes and benefits.",
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                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per day marking the 6th decile (before tax)",
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                    "subtitle": "The level of income per day below which 60% of the population falls. Income here is measured before taxes and benefits.",
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                    "tableSlug": "lis_vars",
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                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per day marking the 6th decile (after tax vs. before tax)",
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                    "subtitle": "The level of income per day below which 60% of the population falls.",
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                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per month marking the 6th decile (after tax)",
                    "ySlugs": "thr_p60_dhi_eq_month",
                    "subtitle": "The level of income per month below which 60% of the population falls. Income here is measured after taxes and benefits.",
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                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per month marking the 6th decile (before tax)",
                    "ySlugs": "thr_p60_mi_eq_month",
                    "subtitle": "The level of income per month below which 60% of the population falls. Income here is measured before taxes and benefits.",
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                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
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                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per month marking the 6th decile (after tax vs. before tax)",
                    "ySlugs": "thr_p60_mi_eq_month thr_p60_dhi_eq_month",
                    "subtitle": "The level of income per month below which 60% of the population falls.",
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                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
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                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per month marking the 6th decile (after tax)",
                    "ySlugs": "thr_p60_dhi_pc_month",
                    "subtitle": "The level of income per month below which 60% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
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                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per month marking the 6th decile (before tax)",
                    "ySlugs": "thr_p60_mi_pc_month",
                    "subtitle": "The level of income per month below which 60% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
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                    "mapTargetTime": "0",
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                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per month marking the 6th decile (after tax vs. before tax)",
                    "ySlugs": "thr_p60_mi_pc_month thr_p60_dhi_pc_month",
                    "subtitle": "The level of income per month below which 60% of the population falls.",
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                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "6",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per year marking the 6th decile (after tax)",
                    "ySlugs": "thr_p60_dhi_eq_year",
                    "subtitle": "The level of income per year below which 60% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "6",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per year marking the 6th decile (before tax)",
                    "ySlugs": "thr_p60_mi_eq_year",
                    "subtitle": "The level of income per year below which 60% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "6",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per year marking the 6th decile (after tax vs. before tax)",
                    "ySlugs": "thr_p60_mi_eq_year thr_p60_dhi_eq_year",
                    "subtitle": "The level of income per year below which 60% of the population falls.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "6",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per year marking the 6th decile (after tax)",
                    "ySlugs": "thr_p60_dhi_pc_year",
                    "subtitle": "The level of income per year below which 60% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "6",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per year marking the 6th decile (before tax)",
                    "ySlugs": "thr_p60_mi_pc_year",
                    "subtitle": "The level of income per year below which 60% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "6",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per year marking the 6th decile (after tax vs. before tax)",
                    "ySlugs": "thr_p60_mi_pc_year thr_p60_dhi_pc_year",
                    "subtitle": "The level of income per year below which 60% of the population falls.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "6",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Income share of the 6th decile (after tax)",
                    "ySlugs": "share_p60_dhi_eq",
                    "subtitle": "The share of income received by the 6th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "6",
                    "Indicator Dropdown": "Decile shares",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Income share of the 6th decile (before tax)",
                    "ySlugs": "share_p60_mi_eq",
                    "subtitle": "The share of income received by the 6th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "6",
                    "Indicator Dropdown": "Decile shares",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Income share of the 6th decile (after tax vs. before tax)",
                    "ySlugs": "share_p60_mi_eq share_p60_dhi_eq",
                    "subtitle": "The share of income received by the 6th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "6",
                    "Indicator Dropdown": "Decile shares",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "title": "Income share of the 6th decile (after tax)",
                    "ySlugs": "share_p60_dhi_pc",
                    "subtitle": "The share of income received by the 6th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "6",
                    "Indicator Dropdown": "Decile shares",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "title": "Income share of the 6th decile (before tax)",
                    "ySlugs": "share_p60_mi_pc",
                    "subtitle": "The share of income received by the 6th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "6",
                    "Indicator Dropdown": "Decile shares",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "title": "Income share of the 6th decile (after tax vs. before tax)",
                    "ySlugs": "share_p60_mi_pc share_p60_dhi_pc",
                    "subtitle": "The share of income received by the 6th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "6",
                    "Indicator Dropdown": "Decile shares",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per day within the 7th decile (after tax)",
                    "ySlugs": "avg_p70_dhi_eq_day",
                    "subtitle": "The mean income per day within the 7th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per day within the 7th decile (before tax)",
                    "ySlugs": "avg_p70_mi_eq_day",
                    "subtitle": "The mean income per day within the 7th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per day within the 7th decile (after tax vs. before tax)",
                    "ySlugs": "avg_p70_mi_eq_day avg_p70_dhi_eq_day",
                    "subtitle": "The mean income per day within the 7th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per day within the 7th decile (after tax)",
                    "ySlugs": "avg_p70_dhi_pc_day",
                    "subtitle": "The mean income per day within the 7th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per day within the 7th decile (before tax)",
                    "ySlugs": "avg_p70_mi_pc_day",
                    "subtitle": "The mean income per day within the 7th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per day within the 7th decile (after tax vs. before tax)",
                    "ySlugs": "avg_p70_mi_pc_day avg_p70_dhi_pc_day",
                    "subtitle": "The mean income per day within the 7th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per month within the 7th decile (after tax)",
                    "ySlugs": "avg_p70_dhi_eq_month",
                    "subtitle": "The mean income per month within the 7th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per month within the 7th decile (before tax)",
                    "ySlugs": "avg_p70_mi_eq_month",
                    "subtitle": "The mean income per month within the 7th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per month within the 7th decile (after tax vs. before tax)",
                    "ySlugs": "avg_p70_mi_eq_month avg_p70_dhi_eq_month",
                    "subtitle": "The mean income per month within the 7th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per month within the 7th decile (after tax)",
                    "ySlugs": "avg_p70_dhi_pc_month",
                    "subtitle": "The mean income per month within the 7th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per month within the 7th decile (before tax)",
                    "ySlugs": "avg_p70_mi_pc_month",
                    "subtitle": "The mean income per month within the 7th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per month within the 7th decile (after tax vs. before tax)",
                    "ySlugs": "avg_p70_mi_pc_month avg_p70_dhi_pc_month",
                    "subtitle": "The mean income per month within the 7th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per year within the 7th decile (after tax)",
                    "ySlugs": "avg_p70_dhi_eq_year",
                    "subtitle": "The mean income per year within the 7th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per year within the 7th decile (before tax)",
                    "ySlugs": "avg_p70_mi_eq_year",
                    "subtitle": "The mean income per year within the 7th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per year within the 7th decile (after tax vs. before tax)",
                    "ySlugs": "avg_p70_mi_eq_year avg_p70_dhi_eq_year",
                    "subtitle": "The mean income per year within the 7th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per year within the 7th decile (after tax)",
                    "ySlugs": "avg_p70_dhi_pc_year",
                    "subtitle": "The mean income per year within the 7th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per year within the 7th decile (before tax)",
                    "ySlugs": "avg_p70_mi_pc_year",
                    "subtitle": "The mean income per year within the 7th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per year within the 7th decile (after tax vs. before tax)",
                    "ySlugs": "avg_p70_mi_pc_year avg_p70_dhi_pc_year",
                    "subtitle": "The mean income per year within the 7th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per day marking the 7th decile (after tax)",
                    "ySlugs": "thr_p70_dhi_eq_day",
                    "subtitle": "The level of income per day below which 70% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per day marking the 7th decile (before tax)",
                    "ySlugs": "thr_p70_mi_eq_day",
                    "subtitle": "The level of income per day below which 70% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per day marking the 7th decile (after tax vs. before tax)",
                    "ySlugs": "thr_p70_mi_eq_day thr_p70_dhi_eq_day",
                    "subtitle": "The level of income per day below which 70% of the population falls.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per day marking the 7th decile (after tax)",
                    "ySlugs": "thr_p70_dhi_pc_day",
                    "subtitle": "The level of income per day below which 70% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per day marking the 7th decile (before tax)",
                    "ySlugs": "thr_p70_mi_pc_day",
                    "subtitle": "The level of income per day below which 70% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per day marking the 7th decile (after tax vs. before tax)",
                    "ySlugs": "thr_p70_mi_pc_day thr_p70_dhi_pc_day",
                    "subtitle": "The level of income per day below which 70% of the population falls.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per month marking the 7th decile (after tax)",
                    "ySlugs": "thr_p70_dhi_eq_month",
                    "subtitle": "The level of income per month below which 70% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per month marking the 7th decile (before tax)",
                    "ySlugs": "thr_p70_mi_eq_month",
                    "subtitle": "The level of income per month below which 70% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per month marking the 7th decile (after tax vs. before tax)",
                    "ySlugs": "thr_p70_mi_eq_month thr_p70_dhi_eq_month",
                    "subtitle": "The level of income per month below which 70% of the population falls.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per month marking the 7th decile (after tax)",
                    "ySlugs": "thr_p70_dhi_pc_month",
                    "subtitle": "The level of income per month below which 70% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per month marking the 7th decile (before tax)",
                    "ySlugs": "thr_p70_mi_pc_month",
                    "subtitle": "The level of income per month below which 70% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per month marking the 7th decile (after tax vs. before tax)",
                    "ySlugs": "thr_p70_mi_pc_month thr_p70_dhi_pc_month",
                    "subtitle": "The level of income per month below which 70% of the population falls.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per year marking the 7th decile (after tax)",
                    "ySlugs": "thr_p70_dhi_eq_year",
                    "subtitle": "The level of income per year below which 70% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per year marking the 7th decile (before tax)",
                    "ySlugs": "thr_p70_mi_eq_year",
                    "subtitle": "The level of income per year below which 70% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per year marking the 7th decile (after tax vs. before tax)",
                    "ySlugs": "thr_p70_mi_eq_year thr_p70_dhi_eq_year",
                    "subtitle": "The level of income per year below which 70% of the population falls.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per year marking the 7th decile (after tax)",
                    "ySlugs": "thr_p70_dhi_pc_year",
                    "subtitle": "The level of income per year below which 70% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per year marking the 7th decile (before tax)",
                    "ySlugs": "thr_p70_mi_pc_year",
                    "subtitle": "The level of income per year below which 70% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per year marking the 7th decile (after tax vs. before tax)",
                    "ySlugs": "thr_p70_mi_pc_year thr_p70_dhi_pc_year",
                    "subtitle": "The level of income per year below which 70% of the population falls.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Income share of the 7th decile (after tax)",
                    "ySlugs": "share_p70_dhi_eq",
                    "subtitle": "The share of income received by the 7th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Decile shares",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Income share of the 7th decile (before tax)",
                    "ySlugs": "share_p70_mi_eq",
                    "subtitle": "The share of income received by the 7th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Decile shares",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Income share of the 7th decile (after tax vs. before tax)",
                    "ySlugs": "share_p70_mi_eq share_p70_dhi_eq",
                    "subtitle": "The share of income received by the 7th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Decile shares",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "title": "Income share of the 7th decile (after tax)",
                    "ySlugs": "share_p70_dhi_pc",
                    "subtitle": "The share of income received by the 7th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Decile shares",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "title": "Income share of the 7th decile (before tax)",
                    "ySlugs": "share_p70_mi_pc",
                    "subtitle": "The share of income received by the 7th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Decile shares",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "title": "Income share of the 7th decile (after tax vs. before tax)",
                    "ySlugs": "share_p70_mi_pc share_p70_dhi_pc",
                    "subtitle": "The share of income received by the 7th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "7",
                    "Indicator Dropdown": "Decile shares",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per day within the 8th decile (after tax)",
                    "ySlugs": "avg_p80_dhi_eq_day",
                    "subtitle": "The mean income per day within the 8th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "8",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per day within the 8th decile (before tax)",
                    "ySlugs": "avg_p80_mi_eq_day",
                    "subtitle": "The mean income per day within the 8th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "8",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per day within the 8th decile (after tax vs. before tax)",
                    "ySlugs": "avg_p80_mi_eq_day avg_p80_dhi_eq_day",
                    "subtitle": "The mean income per day within the 8th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "8",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per day within the 8th decile (after tax)",
                    "ySlugs": "avg_p80_dhi_pc_day",
                    "subtitle": "The mean income per day within the 8th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "8",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per day within the 8th decile (before tax)",
                    "ySlugs": "avg_p80_mi_pc_day",
                    "subtitle": "The mean income per day within the 8th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "8",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per day within the 8th decile (after tax vs. before tax)",
                    "ySlugs": "avg_p80_mi_pc_day avg_p80_dhi_pc_day",
                    "subtitle": "The mean income per day within the 8th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "8",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per month within the 8th decile (after tax)",
                    "ySlugs": "avg_p80_dhi_eq_month",
                    "subtitle": "The mean income per month within the 8th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "8",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per month within the 8th decile (before tax)",
                    "ySlugs": "avg_p80_mi_eq_month",
                    "subtitle": "The mean income per month within the 8th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "8",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per month within the 8th decile (after tax vs. before tax)",
                    "ySlugs": "avg_p80_mi_eq_month avg_p80_dhi_eq_month",
                    "subtitle": "The mean income per month within the 8th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "8",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per month within the 8th decile (after tax)",
                    "ySlugs": "avg_p80_dhi_pc_month",
                    "subtitle": "The mean income per month within the 8th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "8",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per month within the 8th decile (before tax)",
                    "ySlugs": "avg_p80_mi_pc_month",
                    "subtitle": "The mean income per month within the 8th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "8",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per month within the 8th decile (after tax vs. before tax)",
                    "ySlugs": "avg_p80_mi_pc_month avg_p80_dhi_pc_month",
                    "subtitle": "The mean income per month within the 8th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "8",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per year within the 8th decile (after tax)",
                    "ySlugs": "avg_p80_dhi_eq_year",
                    "subtitle": "The mean income per year within the 8th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "8",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per year within the 8th decile (before tax)",
                    "ySlugs": "avg_p80_mi_eq_year",
                    "subtitle": "The mean income per year within the 8th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "8",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per year within the 8th decile (after tax vs. before tax)",
                    "ySlugs": "avg_p80_mi_eq_year avg_p80_dhi_eq_year",
                    "subtitle": "The mean income per year within the 8th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "8",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per year within the 8th decile (after tax)",
                    "ySlugs": "avg_p80_dhi_pc_year",
                    "subtitle": "The mean income per year within the 8th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "8",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per year within the 8th decile (before tax)",
                    "ySlugs": "avg_p80_mi_pc_year",
                    "subtitle": "The mean income per year within the 8th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "8",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per year within the 8th decile (after tax vs. before tax)",
                    "ySlugs": "avg_p80_mi_pc_year avg_p80_dhi_pc_year",
                    "subtitle": "The mean income per year within the 8th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "8",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per day marking the 8th decile (after tax)",
                    "ySlugs": "thr_p80_dhi_eq_day",
                    "subtitle": "The level of income per day below which 80% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "8",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per day marking the 8th decile (before tax)",
                    "ySlugs": "thr_p80_mi_eq_day",
                    "subtitle": "The level of income per day below which 80% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "8",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per day marking the 8th decile (after tax vs. before tax)",
                    "ySlugs": "thr_p80_mi_eq_day thr_p80_dhi_eq_day",
                    "subtitle": "The level of income per day below which 80% of the population falls.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "8",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per day marking the 8th decile (after tax)",
                    "ySlugs": "thr_p80_dhi_pc_day",
                    "subtitle": "The level of income per day below which 80% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "8",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per day marking the 8th decile (before tax)",
                    "ySlugs": "thr_p80_mi_pc_day",
                    "subtitle": "The level of income per day below which 80% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "8",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per day marking the 8th decile (after tax vs. before tax)",
                    "ySlugs": "thr_p80_mi_pc_day thr_p80_dhi_pc_day",
                    "subtitle": "The level of income per day below which 80% of the population falls.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "8",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per month marking the 8th decile (after tax)",
                    "ySlugs": "thr_p80_dhi_eq_month",
                    "subtitle": "The level of income per month below which 80% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "8",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per month marking the 8th decile (before tax)",
                    "ySlugs": "thr_p80_mi_eq_month",
                    "subtitle": "The level of income per month below which 80% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "8",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per month marking the 8th decile (after tax vs. before tax)",
                    "ySlugs": "thr_p80_mi_eq_month thr_p80_dhi_eq_month",
                    "subtitle": "The level of income per month below which 80% of the population falls.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "8",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per month marking the 8th decile (after tax)",
                    "ySlugs": "thr_p80_dhi_pc_month",
                    "subtitle": "The level of income per month below which 80% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "8",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per month marking the 8th decile (before tax)",
                    "ySlugs": "thr_p80_mi_pc_month",
                    "subtitle": "The level of income per month below which 80% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "8",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per month marking the 8th decile (after tax vs. before tax)",
                    "ySlugs": "thr_p80_mi_pc_month thr_p80_dhi_pc_month",
                    "subtitle": "The level of income per month below which 80% of the population falls.",
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                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
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                    "mapTargetTime": "0",
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                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per year marking the 8th decile (after tax)",
                    "ySlugs": "thr_p80_dhi_eq_year",
                    "subtitle": "The level of income per year below which 80% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
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                    "mapTargetTime": "0",
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                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per year marking the 8th decile (before tax)",
                    "ySlugs": "thr_p80_mi_eq_year",
                    "subtitle": "The level of income per year below which 80% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "8",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per year marking the 8th decile (after tax vs. before tax)",
                    "ySlugs": "thr_p80_mi_eq_year thr_p80_dhi_eq_year",
                    "subtitle": "The level of income per year below which 80% of the population falls.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "8",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per year marking the 8th decile (after tax)",
                    "ySlugs": "thr_p80_dhi_pc_year",
                    "subtitle": "The level of income per year below which 80% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "8",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per year marking the 8th decile (before tax)",
                    "ySlugs": "thr_p80_mi_pc_year",
                    "subtitle": "The level of income per year below which 80% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "8",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per year marking the 8th decile (after tax vs. before tax)",
                    "ySlugs": "thr_p80_mi_pc_year thr_p80_dhi_pc_year",
                    "subtitle": "The level of income per year below which 80% of the population falls.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "8",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Income share of the 8th decile (after tax)",
                    "ySlugs": "share_p80_dhi_eq",
                    "subtitle": "The share of income received by the 8th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "8",
                    "Indicator Dropdown": "Decile shares",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Income share of the 8th decile (before tax)",
                    "ySlugs": "share_p80_mi_eq",
                    "subtitle": "The share of income received by the 8th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "8",
                    "Indicator Dropdown": "Decile shares",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Income share of the 8th decile (after tax vs. before tax)",
                    "ySlugs": "share_p80_mi_eq share_p80_dhi_eq",
                    "subtitle": "The share of income received by the 8th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "8",
                    "Indicator Dropdown": "Decile shares",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "title": "Income share of the 8th decile (after tax)",
                    "ySlugs": "share_p80_dhi_pc",
                    "subtitle": "The share of income received by the 8th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "8",
                    "Indicator Dropdown": "Decile shares",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "title": "Income share of the 8th decile (before tax)",
                    "ySlugs": "share_p80_mi_pc",
                    "subtitle": "The share of income received by the 8th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "8",
                    "Indicator Dropdown": "Decile shares",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "title": "Income share of the 8th decile (after tax vs. before tax)",
                    "ySlugs": "share_p80_mi_pc share_p80_dhi_pc",
                    "subtitle": "The share of income received by the 8th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "8",
                    "Indicator Dropdown": "Decile shares",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per day within the 9th decile (after tax)",
                    "ySlugs": "avg_p90_dhi_eq_day",
                    "subtitle": "The mean income per day within the 9th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "9",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per day within the 9th decile (before tax)",
                    "ySlugs": "avg_p90_mi_eq_day",
                    "subtitle": "The mean income per day within the 9th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "9",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per day within the 9th decile (after tax vs. before tax)",
                    "ySlugs": "avg_p90_mi_eq_day avg_p90_dhi_eq_day",
                    "subtitle": "The mean income per day within the 9th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "9",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per day within the 9th decile (after tax)",
                    "ySlugs": "avg_p90_dhi_pc_day",
                    "subtitle": "The mean income per day within the 9th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "9",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per day within the 9th decile (before tax)",
                    "ySlugs": "avg_p90_mi_pc_day",
                    "subtitle": "The mean income per day within the 9th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "9",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per day within the 9th decile (after tax vs. before tax)",
                    "ySlugs": "avg_p90_mi_pc_day avg_p90_dhi_pc_day",
                    "subtitle": "The mean income per day within the 9th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "9",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per month within the 9th decile (after tax)",
                    "ySlugs": "avg_p90_dhi_eq_month",
                    "subtitle": "The mean income per month within the 9th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "9",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per month within the 9th decile (before tax)",
                    "ySlugs": "avg_p90_mi_eq_month",
                    "subtitle": "The mean income per month within the 9th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "9",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per month within the 9th decile (after tax vs. before tax)",
                    "ySlugs": "avg_p90_mi_eq_month avg_p90_dhi_eq_month",
                    "subtitle": "The mean income per month within the 9th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "9",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per month within the 9th decile (after tax)",
                    "ySlugs": "avg_p90_dhi_pc_month",
                    "subtitle": "The mean income per month within the 9th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "9",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per month within the 9th decile (before tax)",
                    "ySlugs": "avg_p90_mi_pc_month",
                    "subtitle": "The mean income per month within the 9th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "9",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per month within the 9th decile (after tax vs. before tax)",
                    "ySlugs": "avg_p90_mi_pc_month avg_p90_dhi_pc_month",
                    "subtitle": "The mean income per month within the 9th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "9",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per year within the 9th decile (after tax)",
                    "ySlugs": "avg_p90_dhi_eq_year",
                    "subtitle": "The mean income per year within the 9th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "9",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per year within the 9th decile (before tax)",
                    "ySlugs": "avg_p90_mi_eq_year",
                    "subtitle": "The mean income per year within the 9th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "9",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per year within the 9th decile (after tax vs. before tax)",
                    "ySlugs": "avg_p90_mi_eq_year avg_p90_dhi_eq_year",
                    "subtitle": "The mean income per year within the 9th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "9",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per year within the 9th decile (after tax)",
                    "ySlugs": "avg_p90_dhi_pc_year",
                    "subtitle": "The mean income per year within the 9th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "9",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per year within the 9th decile (before tax)",
                    "ySlugs": "avg_p90_mi_pc_year",
                    "subtitle": "The mean income per year within the 9th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "9",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per year within the 9th decile (after tax vs. before tax)",
                    "ySlugs": "avg_p90_mi_pc_year avg_p90_dhi_pc_year",
                    "subtitle": "The mean income per year within the 9th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "9",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Income share of the 9th decile (after tax)",
                    "ySlugs": "share_p90_dhi_eq",
                    "subtitle": "The share of income received by the 9th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "9",
                    "Indicator Dropdown": "Decile shares",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Income share of the 9th decile (before tax)",
                    "ySlugs": "share_p90_mi_eq",
                    "subtitle": "The share of income received by the 9th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "9",
                    "Indicator Dropdown": "Decile shares",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Income share of the 9th decile (after tax vs. before tax)",
                    "ySlugs": "share_p90_mi_eq share_p90_dhi_eq",
                    "subtitle": "The share of income received by the 9th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "9",
                    "Indicator Dropdown": "Decile shares",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "title": "Income share of the 9th decile (after tax)",
                    "ySlugs": "share_p90_dhi_pc",
                    "subtitle": "The share of income received by the 9th decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "9",
                    "Indicator Dropdown": "Decile shares",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "title": "Income share of the 9th decile (before tax)",
                    "ySlugs": "share_p90_mi_pc",
                    "subtitle": "The share of income received by the 9th decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "9",
                    "Indicator Dropdown": "Decile shares",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "title": "Income share of the 9th decile (after tax vs. before tax)",
                    "ySlugs": "share_p90_mi_pc share_p90_dhi_pc",
                    "subtitle": "The share of income received by the 9th decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "9",
                    "Indicator Dropdown": "Decile shares",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per day marking the richest decile (after tax)",
                    "ySlugs": "thr_p90_dhi_eq_day",
                    "subtitle": "The level of income per day below which 90% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "9 (richest)",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per day marking the richest decile (before tax)",
                    "ySlugs": "thr_p90_mi_eq_day",
                    "subtitle": "The level of income per day below which 90% of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "9 (richest)",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per day marking the richest decile (after tax vs. before tax)",
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                    "subtitle": "The level of income per day below which 90% of the population falls.",
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                    "mapTargetTime": "0",
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                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per day marking the richest decile (after tax)",
                    "ySlugs": "thr_p90_dhi_pc_day",
                    "subtitle": "The level of income per day below which 90% of the population falls. Income here is measured after taxes and benefits.",
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                    "tableSlug": "lis_vars",
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                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "9 (richest)",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per day marking the richest decile (before tax)",
                    "ySlugs": "thr_p90_mi_pc_day",
                    "subtitle": "The level of income per day below which 90% of the population falls. Income here is measured before taxes and benefits.",
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                    "tableSlug": "lis_vars",
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                    "mapTargetTime": "0",
                    "Decile Dropdown": "9 (richest)",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
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                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per day marking the richest decile (after tax vs. before tax)",
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                    "subtitle": "The level of income per day below which 90% of the population falls.",
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                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
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                    "mapTargetTime": "0",
                    "Decile Dropdown": "9 (richest)",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
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                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per month marking the richest decile (after tax)",
                    "ySlugs": "thr_p90_dhi_eq_month",
                    "subtitle": "The level of income per month below which 90% of the population falls. Income here is measured after taxes and benefits.",
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                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "9 (richest)",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per month marking the richest decile (before tax)",
                    "ySlugs": "thr_p90_mi_eq_month",
                    "subtitle": "The level of income per month below which 90% of the population falls. Income here is measured before taxes and benefits.",
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                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
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                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "9 (richest)",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per month marking the richest decile (after tax vs. before tax)",
                    "ySlugs": "thr_p90_mi_eq_month thr_p90_dhi_eq_month",
                    "subtitle": "The level of income per month below which 90% of the population falls.",
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                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "9 (richest)",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per month marking the richest decile (after tax)",
                    "ySlugs": "thr_p90_dhi_pc_month",
                    "subtitle": "The level of income per month below which 90% of the population falls. Income here is measured after taxes and benefits.",
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                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "9 (richest)",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per month marking the richest decile (before tax)",
                    "ySlugs": "thr_p90_mi_pc_month",
                    "subtitle": "The level of income per month below which 90% of the population falls. Income here is measured before taxes and benefits.",
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                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
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                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "9 (richest)",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per month marking the richest decile (after tax vs. before tax)",
                    "ySlugs": "thr_p90_mi_pc_month thr_p90_dhi_pc_month",
                    "subtitle": "The level of income per month below which 90% of the population falls.",
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                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "9 (richest)",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per year marking the richest decile (after tax)",
                    "ySlugs": "thr_p90_dhi_eq_year",
                    "subtitle": "The level of income per year below which 90% of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "9 (richest)",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per year marking the richest decile (before tax)",
                    "ySlugs": "thr_p90_mi_eq_year",
                    "subtitle": "The level of income per year below which 90% of the population falls. Income here is measured before taxes and benefits.",
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                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "9 (richest)",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per year marking the richest decile (after tax vs. before tax)",
                    "ySlugs": "thr_p90_mi_eq_year thr_p90_dhi_eq_year",
                    "subtitle": "The level of income per year below which 90% of the population falls.",
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                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "9 (richest)",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per year marking the richest decile (after tax)",
                    "ySlugs": "thr_p90_dhi_pc_year",
                    "subtitle": "The level of income per year below which 90% of the population falls. Income here is measured after taxes and benefits.",
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                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "9 (richest)",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per year marking the richest decile (before tax)",
                    "ySlugs": "thr_p90_mi_pc_year",
                    "subtitle": "The level of income per year below which 90% of the population falls. Income here is measured before taxes and benefits.",
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                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
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                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "9 (richest)",
                    "Indicator Dropdown": "Decile thresholds",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Threshold income per year marking the richest decile (after tax vs. before tax)",
                    "ySlugs": "thr_p90_mi_pc_year thr_p90_dhi_pc_year",
                    "subtitle": "The level of income per year below which 90% of the population falls.",
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                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
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                    "yScaleToggle": "true",
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                    "Decile Dropdown": "9 (richest)",
                    "Indicator Dropdown": "Decile thresholds",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per day within the richest decile (after tax)",
                    "ySlugs": "avg_p100_dhi_eq_day",
                    "subtitle": "The mean income per day within the richest decile (tenth of the population). Income here is measured after taxes and benefits.",
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                    "tableSlug": "lis_vars",
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                    "mapTargetTime": "0",
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                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per day within the richest decile (before tax)",
                    "ySlugs": "avg_p100_mi_eq_day",
                    "subtitle": "The mean income per day within the richest decile (tenth of the population). Income here is measured before taxes and benefits.",
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                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per day within the richest decile (after tax vs. before tax)",
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                    "subtitle": "The mean income per day within the richest decile (tenth of the population).",
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                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per day within the richest decile (after tax)",
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                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per day within the richest decile (before tax)",
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                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
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                {
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                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
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                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per month within the richest decile (before tax)",
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                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per month within the richest decile (after tax vs. before tax)",
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                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per month within the richest decile (after tax)",
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                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per month within the richest decile (before tax)",
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                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per month within the richest decile (after tax vs. before tax)",
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                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per year within the richest decile (after tax)",
                    "ySlugs": "avg_p100_dhi_eq_year",
                    "subtitle": "The mean income per year within the richest decile (tenth of the population). Income here is measured after taxes and benefits.",
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                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per year within the richest decile (before tax)",
                    "ySlugs": "avg_p100_mi_eq_year",
                    "subtitle": "The mean income per year within the richest decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "10 (richest)",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per year within the richest decile (after tax vs. before tax)",
                    "ySlugs": "avg_p100_mi_eq_year avg_p100_dhi_eq_year",
                    "subtitle": "The mean income per year within the richest decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "10 (richest)",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per year within the richest decile (after tax)",
                    "ySlugs": "avg_p100_dhi_pc_year",
                    "subtitle": "The mean income per year within the richest decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "10 (richest)",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per year within the richest decile (before tax)",
                    "ySlugs": "avg_p100_mi_pc_year",
                    "subtitle": "The mean income per year within the richest decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "10 (richest)",
                    "Indicator Dropdown": "Mean income, by decile",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per year within the richest decile (after tax vs. before tax)",
                    "ySlugs": "avg_p100_mi_pc_year avg_p100_dhi_pc_year",
                    "subtitle": "The mean income per year within the richest decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "10 (richest)",
                    "Indicator Dropdown": "Mean income, by decile",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Income share of the richest decile (after tax)",
                    "ySlugs": "share_p100_dhi_eq",
                    "subtitle": "The share of income received by the richest decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "10 (richest)",
                    "Indicator Dropdown": "Decile shares",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Income share of the richest decile (before tax)",
                    "ySlugs": "share_p100_mi_eq",
                    "subtitle": "The share of income received by the richest decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "10 (richest)",
                    "Indicator Dropdown": "Decile shares",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Income share of the richest decile (after tax vs. before tax)",
                    "ySlugs": "share_p100_mi_eq share_p100_dhi_eq",
                    "subtitle": "The share of income received by the richest decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "10 (richest)",
                    "Indicator Dropdown": "Decile shares",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "title": "Income share of the richest decile (after tax)",
                    "ySlugs": "share_p100_dhi_pc",
                    "subtitle": "The share of income received by the richest decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "10 (richest)",
                    "Indicator Dropdown": "Decile shares",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "title": "Income share of the richest decile (before tax)",
                    "ySlugs": "share_p100_mi_pc",
                    "subtitle": "The share of income received by the richest decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "10 (richest)",
                    "Indicator Dropdown": "Decile shares",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "title": "Income share of the richest decile (after tax vs. before tax)",
                    "ySlugs": "share_p100_mi_pc share_p100_dhi_pc",
                    "subtitle": "The share of income received by the richest decile (tenth of the population).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "10 (richest)",
                    "Indicator Dropdown": "Decile shares",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per day within each decile (after tax)",
                    "ySlugs": "avg_p10_dhi_eq_day avg_p20_dhi_eq_day avg_p30_dhi_eq_day avg_p40_dhi_eq_day avg_p50_dhi_eq_day avg_p60_dhi_eq_day avg_p70_dhi_eq_day avg_p80_dhi_eq_day avg_p90_dhi_eq_day avg_p100_dhi_eq_day",
                    "subtitle": "The mean income per day within each decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "All deciles",
                    "Indicator Dropdown": "Mean income, by decile",
                    "hideRelativeToggle": "false",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per day within each decile (before tax)",
                    "ySlugs": "avg_p10_mi_eq_day avg_p20_mi_eq_day avg_p30_mi_eq_day avg_p40_mi_eq_day avg_p50_mi_eq_day avg_p60_mi_eq_day avg_p70_mi_eq_day avg_p80_mi_eq_day avg_p90_mi_eq_day avg_p100_mi_eq_day",
                    "subtitle": "The mean income per day within each decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "All deciles",
                    "Indicator Dropdown": "Mean income, by decile",
                    "hideRelativeToggle": "false",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per day within each decile (after tax)",
                    "ySlugs": "avg_p10_dhi_pc_day avg_p20_dhi_pc_day avg_p30_dhi_pc_day avg_p40_dhi_pc_day avg_p50_dhi_pc_day avg_p60_dhi_pc_day avg_p70_dhi_pc_day avg_p80_dhi_pc_day avg_p90_dhi_pc_day avg_p100_dhi_pc_day",
                    "subtitle": "The mean income per day within each decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "All deciles",
                    "Indicator Dropdown": "Mean income, by decile",
                    "hideRelativeToggle": "false",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per day within each decile (before tax)",
                    "ySlugs": "avg_p10_mi_pc_day avg_p20_mi_pc_day avg_p30_mi_pc_day avg_p40_mi_pc_day avg_p50_mi_pc_day avg_p60_mi_pc_day avg_p70_mi_pc_day avg_p80_mi_pc_day avg_p90_mi_pc_day avg_p100_mi_pc_day",
                    "subtitle": "The mean income per day within each decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Day",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "All deciles",
                    "Indicator Dropdown": "Mean income, by decile",
                    "hideRelativeToggle": "false",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per month within each decile (after tax)",
                    "ySlugs": "avg_p10_dhi_eq_month avg_p20_dhi_eq_month avg_p30_dhi_eq_month avg_p40_dhi_eq_month avg_p50_dhi_eq_month avg_p60_dhi_eq_month avg_p70_dhi_eq_month avg_p80_dhi_eq_month avg_p90_dhi_eq_month avg_p100_dhi_eq_month",
                    "subtitle": "The mean income per month within each decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "All deciles",
                    "Indicator Dropdown": "Mean income, by decile",
                    "hideRelativeToggle": "false",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per month within each decile (before tax)",
                    "ySlugs": "avg_p10_mi_eq_month avg_p20_mi_eq_month avg_p30_mi_eq_month avg_p40_mi_eq_month avg_p50_mi_eq_month avg_p60_mi_eq_month avg_p70_mi_eq_month avg_p80_mi_eq_month avg_p90_mi_eq_month avg_p100_mi_eq_month",
                    "subtitle": "The mean income per month within each decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Month",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "All deciles",
                    "Indicator Dropdown": "Mean income, by decile",
                    "hideRelativeToggle": "false",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per month within each decile (after tax)",
                    "ySlugs": "avg_p10_dhi_pc_month avg_p20_dhi_pc_month avg_p30_dhi_pc_month avg_p40_dhi_pc_month avg_p50_dhi_pc_month avg_p60_dhi_pc_month avg_p70_dhi_pc_month avg_p80_dhi_pc_month avg_p90_dhi_pc_month avg_p100_dhi_pc_month",
                    "subtitle": "The mean income per month within each decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
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                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "All deciles",
                    "Indicator Dropdown": "Mean income, by decile",
                    "hideRelativeToggle": "false",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per month within each decile (before tax)",
                    "ySlugs": "avg_p10_mi_pc_month avg_p20_mi_pc_month avg_p30_mi_pc_month avg_p40_mi_pc_month avg_p50_mi_pc_month avg_p60_mi_pc_month avg_p70_mi_pc_month avg_p80_mi_pc_month avg_p90_mi_pc_month avg_p100_mi_pc_month",
                    "subtitle": "The mean income per month within each decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
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                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "All deciles",
                    "Indicator Dropdown": "Mean income, by decile",
                    "hideRelativeToggle": "false",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per year within each decile (after tax)",
                    "ySlugs": "avg_p10_dhi_eq_year avg_p20_dhi_eq_year avg_p30_dhi_eq_year avg_p40_dhi_eq_year avg_p50_dhi_eq_year avg_p60_dhi_eq_year avg_p70_dhi_eq_year avg_p80_dhi_eq_year avg_p90_dhi_eq_year avg_p100_dhi_eq_year",
                    "subtitle": "The mean income per year within each decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
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                    "mapTargetTime": "0",
                    "Decile Dropdown": "All deciles",
                    "Indicator Dropdown": "Mean income, by decile",
                    "hideRelativeToggle": "false",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Mean income per year within each decile (before tax)",
                    "ySlugs": "avg_p10_mi_eq_year avg_p20_mi_eq_year avg_p30_mi_eq_year avg_p40_mi_eq_year avg_p50_mi_eq_year avg_p60_mi_eq_year avg_p70_mi_eq_year avg_p80_mi_eq_year avg_p90_mi_eq_year avg_p100_mi_eq_year",
                    "subtitle": "The mean income per year within each decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
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                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "All deciles",
                    "Indicator Dropdown": "Mean income, by decile",
                    "hideRelativeToggle": "false",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per year within each decile (after tax)",
                    "ySlugs": "avg_p10_dhi_pc_year avg_p20_dhi_pc_year avg_p30_dhi_pc_year avg_p40_dhi_pc_year avg_p50_dhi_pc_year avg_p60_dhi_pc_year avg_p70_dhi_pc_year avg_p80_dhi_pc_year avg_p90_dhi_pc_year avg_p100_dhi_pc_year",
                    "subtitle": "The mean income per year within each decile (tenth of the population). Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
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                    "mapTargetTime": "0",
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                    "Indicator Dropdown": "Mean income, by decile",
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                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
                    "title": "Mean income per year within each decile (before tax)",
                    "ySlugs": "avg_p10_mi_pc_year avg_p20_mi_pc_year avg_p30_mi_pc_year avg_p40_mi_pc_year avg_p50_mi_pc_year avg_p60_mi_pc_year avg_p70_mi_pc_year avg_p80_mi_pc_year avg_p90_mi_pc_year avg_p100_mi_pc_year",
                    "subtitle": "The mean income per year within each decile (tenth of the population). Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "Period Radio": "Year",
                    "yScaleToggle": "true",
                    "mapTargetTime": "0",
                    "Decile Dropdown": "All deciles",
                    "Indicator Dropdown": "Mean income, by decile",
                    "hideRelativeToggle": "false",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per day for each decile (after tax)",
                    "ySlugs": "thr_p10_dhi_eq_day thr_p20_dhi_eq_day thr_p30_dhi_eq_day thr_p40_dhi_eq_day thr_p50_dhi_eq_day thr_p60_dhi_eq_day thr_p70_dhi_eq_day thr_p80_dhi_eq_day thr_p90_dhi_eq_day",
                    "subtitle": "The level of income per day below which 10%, 20%, 30%, etc. of the population falls. Income here is measured after taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
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                    "Indicator Dropdown": "Decile thresholds",
                    "hideRelativeToggle": "false",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "title": "Threshold income per day for each decile (before tax)",
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                    "subtitle": "The level of income per day below which 10%, 20%, 30%, etc. of the population falls. Income here is measured before taxes and benefits.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
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                    "hideRelativeToggle": "false",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "Before tax",
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                {
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                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
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                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
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                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries. ",
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                    "subtitle": "The level of income per year below which 10%, 20%, 30%, etc. of the population falls. Income here is measured before taxes and benefits.",
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                {
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                    "note": "Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
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                    "subtitle": "The share of income received by each decile (tenth of the population). Income here is measured after taxes and benefits.",
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                    "subtitle": "The share of income received by each decile (tenth of the population). Income here is measured before taxes and benefits.",
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        {
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            "type": "columns",
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                    "slug": "country",
                    "type": "EntityName",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
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                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
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                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income below which 20% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "3rd decile (after tax)",
                    "slug": "thr_p30_dhi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income below which 30% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "4th decile (after tax)",
                    "slug": "thr_p40_dhi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income below which 40% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "5th decile (median) (after tax)",
                    "slug": "thr_p50_dhi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income below which 50% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "6th decile (after tax)",
                    "slug": "thr_p60_dhi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income below which 60% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "7th decile (after tax)",
                    "slug": "thr_p70_dhi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income below which 70% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "8th decile (after tax)",
                    "slug": "thr_p80_dhi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income below which 80% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Richest decile (after tax)",
                    "slug": "thr_p90_dhi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income below which 90% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poorest decile (after tax)",
                    "slug": "avg_p10_dhi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income within the poorest decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "2nd decile (after tax)",
                    "slug": "avg_p20_dhi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income within the 2nd decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "3rd decile (after tax)",
                    "slug": "avg_p30_dhi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income within the 3rd decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "4th decile (after tax)",
                    "slug": "avg_p40_dhi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income within the 4th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "5th decile (after tax)",
                    "slug": "avg_p50_dhi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income within the 5th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "6th decile (after tax)",
                    "slug": "avg_p60_dhi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income within the 6th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "7th decile (after tax)",
                    "slug": "avg_p70_dhi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income within the 7th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "8th decile (after tax)",
                    "slug": "avg_p80_dhi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income within the 8th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "9th decile (after tax)",
                    "slug": "avg_p90_dhi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income within the 9th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Richest decile (after tax)",
                    "slug": "avg_p100_dhi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income within the richest decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poorest decile (after tax)",
                    "slug": "share_p10_dhi_eq",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The share of income received by the poorest decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "0.5;1;1.5;2;2.5;3;3.5;4",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "2nd decile (after tax)",
                    "slug": "share_p20_dhi_eq",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The share of income received by the 2nd decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "1;2;3;4;5;6",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "3rd decile (after tax)",
                    "slug": "share_p30_dhi_eq",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The share of income received by the 3rd decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "1;2;3;4;5;6;7",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "4th decile (after tax)",
                    "slug": "share_p40_dhi_eq",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The share of income received by the 4th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "2;3;4;5;6;7;8",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "5th decile (after tax)",
                    "slug": "share_p50_dhi_eq",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The share of income received by the 5th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "3;4;5;6;7;8;9",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "6th decile (after tax)",
                    "slug": "share_p60_dhi_eq",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The share of income received by the 6th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "4;5;6;7;8;9;10",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "7th decile (after tax)",
                    "slug": "share_p70_dhi_eq",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The share of income received by the 7th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "5;6;7;8;9;10;11;12",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "8th decile (after tax)",
                    "slug": "share_p80_dhi_eq",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The share of income received by the 8th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "8;9;10;11;12;13;14",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "9th decile (after tax)",
                    "slug": "share_p90_dhi_eq",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The share of income received by the 9th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "10;12;14;16;18",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Richest decile (after tax)",
                    "slug": "share_p100_dhi_eq",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The share of income received by the richest decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "20;25;30;35;40;45",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Mean income (after tax)",
                    "slug": "mean_dhi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy mean_dhi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Mean income per day.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nWe obtain Gini coefficients by using [Stata\u2019s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function..",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "BuGn",
                    "colorScaleNumericBins": "10;20;50;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Median income (after tax)",
                    "slug": "median_dhi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy median_dhi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per day below which half of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nWe obtain Gini coefficients by using [Stata\u2019s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function..",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Blues",
                    "colorScaleNumericBins": "10;20;50;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poorest decile (after tax)",
                    "slug": "thr_p10_dhi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p10_dhi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per day below which 10% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10;20;50;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "2nd decile (after tax)",
                    "slug": "thr_p20_dhi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p20_dhi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per day below which 20% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10;20;50;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "3rd decile (after tax)",
                    "slug": "thr_p30_dhi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p30_dhi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per day below which 30% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10;20;50;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "4th decile (after tax)",
                    "slug": "thr_p40_dhi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p40_dhi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per day below which 40% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10;20;50;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "5th decile (median) (after tax)",
                    "slug": "thr_p50_dhi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p50_dhi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per day below which 50% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10;20;50;100;200",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "6th decile (after tax)",
                    "slug": "thr_p60_dhi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p60_dhi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per day below which 60% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10;20;50;100;200",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "7th decile (after tax)",
                    "slug": "thr_p70_dhi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p70_dhi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per day below which 70% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10;20;50;100;200",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "8th decile (after tax)",
                    "slug": "thr_p80_dhi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p80_dhi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per day below which 80% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10;20;50;100;200",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Richest decile (after tax)",
                    "slug": "thr_p90_dhi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p90_dhi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per day below which 90% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10;20;50;100;200;500",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poorest decile (after tax)",
                    "slug": "avg_p10_dhi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p10_dhi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per day within the poorest decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1;2;5;10;20;50",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "2nd decile (after tax)",
                    "slug": "avg_p20_dhi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p20_dhi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per day within the 2nd decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10;20;50;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "3rd decile (after tax)",
                    "slug": "avg_p30_dhi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p30_dhi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per day within the 3rd decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10;20;50;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "4th decile (after tax)",
                    "slug": "avg_p40_dhi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p40_dhi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per day within the 4th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10;20;50;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "5th decile (after tax)",
                    "slug": "avg_p50_dhi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p50_dhi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per day within the 5th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10;20;50;100;200",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "6th decile (after tax)",
                    "slug": "avg_p60_dhi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p60_dhi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per day within the 6th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10;20;50;100;200",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "7th decile (after tax)",
                    "slug": "avg_p70_dhi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p70_dhi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per day within the 7th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10;20;50;100;200",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "8th decile (after tax)",
                    "slug": "avg_p80_dhi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p80_dhi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per day within the 8th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10;20;50;100;200",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "9th decile (after tax)",
                    "slug": "avg_p90_dhi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p90_dhi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per day within the 9th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10;20;50;100;200;500",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Richest decile (after tax)",
                    "slug": "avg_p100_dhi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p100_dhi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per day within the richest decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10;20;50;100;200;500",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Mean income (after tax)",
                    "slug": "mean_dhi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy mean_dhi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Mean income per month.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nWe obtain Gini coefficients by using [Stata\u2019s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function..",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "BuGn",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Median income (after tax)",
                    "slug": "median_dhi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy median_dhi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per month below which half of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nWe obtain Gini coefficients by using [Stata\u2019s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function..",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Blues",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poorest decile (after tax)",
                    "slug": "thr_p10_dhi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p10_dhi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per month below which 10% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "100;200;500;1000;2000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "2nd decile (after tax)",
                    "slug": "thr_p20_dhi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p20_dhi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per month below which 20% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "3rd decile (after tax)",
                    "slug": "thr_p30_dhi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p30_dhi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per month below which 30% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "4th decile (after tax)",
                    "slug": "thr_p40_dhi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p40_dhi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per month below which 40% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "5th decile (median) (after tax)",
                    "slug": "thr_p50_dhi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p50_dhi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per month below which 50% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "6th decile (after tax)",
                    "slug": "thr_p60_dhi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p60_dhi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per month below which 60% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "7th decile (after tax)",
                    "slug": "thr_p70_dhi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p70_dhi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per month below which 70% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "8th decile (after tax)",
                    "slug": "thr_p80_dhi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p80_dhi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per month below which 80% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000;10000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Richest decile (after tax)",
                    "slug": "thr_p90_dhi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p90_dhi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per month below which 90% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000;10000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poorest decile (after tax)",
                    "slug": "avg_p10_dhi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p10_dhi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per month within the poorest decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "100;200;500;1000;2000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "2nd decile (after tax)",
                    "slug": "avg_p20_dhi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p20_dhi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per month within the 2nd decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "100;200;500;1000;2000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "3rd decile (after tax)",
                    "slug": "avg_p30_dhi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p30_dhi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per month within the 3rd decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "4th decile (after tax)",
                    "slug": "avg_p40_dhi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p40_dhi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per month within the 4th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "5th decile (after tax)",
                    "slug": "avg_p50_dhi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p50_dhi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per month within the 5th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "6th decile (after tax)",
                    "slug": "avg_p60_dhi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p60_dhi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per month within the 6th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "7th decile (after tax)",
                    "slug": "avg_p70_dhi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p70_dhi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per month within the 7th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "8th decile (after tax)",
                    "slug": "avg_p80_dhi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p80_dhi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per month within the 8th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1000;2000;5000;10000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "9th decile (after tax)",
                    "slug": "avg_p90_dhi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p90_dhi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per month within the 9th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1000;2000;5000;10000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Richest decile (after tax)",
                    "slug": "avg_p100_dhi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p100_dhi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per month within the richest decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Mean income (after tax)",
                    "slug": "mean_dhi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy mean_dhi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Mean income per year.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nWe obtain Gini coefficients by using [Stata\u2019s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function..",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "BuGn",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Median income (after tax)",
                    "slug": "median_dhi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy median_dhi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per year below which half of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nWe obtain Gini coefficients by using [Stata\u2019s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function..",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Blues",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poorest decile (after tax)",
                    "slug": "thr_p10_dhi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p10_dhi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per year below which 10% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "2nd decile (after tax)",
                    "slug": "thr_p20_dhi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p20_dhi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per year below which 20% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "3rd decile (after tax)",
                    "slug": "thr_p30_dhi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p30_dhi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per year below which 30% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "4th decile (after tax)",
                    "slug": "thr_p40_dhi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p40_dhi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per year below which 40% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "5th decile (median) (after tax)",
                    "slug": "thr_p50_dhi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p50_dhi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per year below which 50% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "6th decile (after tax)",
                    "slug": "thr_p60_dhi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p60_dhi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per year below which 60% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "7th decile (after tax)",
                    "slug": "thr_p70_dhi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p70_dhi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per year below which 70% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000;100000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "8th decile (after tax)",
                    "slug": "thr_p80_dhi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p80_dhi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per year below which 80% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10000;20000;50000;100000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Richest decile (after tax)",
                    "slug": "thr_p90_dhi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p90_dhi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per year below which 90% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10000;20000;50000;100000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poorest decile (after tax)",
                    "slug": "avg_p10_dhi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p10_dhi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per year within the poorest decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "2nd decile (after tax)",
                    "slug": "avg_p20_dhi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p20_dhi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per year within the 2nd decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "3rd decile (after tax)",
                    "slug": "avg_p30_dhi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p30_dhi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per year within the 3rd decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "4th decile (after tax)",
                    "slug": "avg_p40_dhi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p40_dhi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per year within the 4th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "5th decile (after tax)",
                    "slug": "avg_p50_dhi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p50_dhi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per year within the 5th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "6th decile (after tax)",
                    "slug": "avg_p60_dhi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p60_dhi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per year within the 6th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "7th decile (after tax)",
                    "slug": "avg_p70_dhi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p70_dhi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per year within the 7th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10000;20000;50000;100000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "8th decile (after tax)",
                    "slug": "avg_p80_dhi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p80_dhi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per year within the 8th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10000;20000;50000;100000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "9th decile (after tax)",
                    "slug": "avg_p90_dhi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p90_dhi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per year within the 9th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10000;20000;50000;100000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Richest decile (after tax)",
                    "slug": "avg_p100_dhi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p100_dhi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per year within the richest decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10000;20000;50000;100000;200000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Mean income (after tax)",
                    "slug": "mean_dhi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Mean income.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nWe obtain Gini coefficients by using [Stata\u2019s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function..",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "BuGn",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Median income (after tax)",
                    "slug": "median_dhi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income below which half of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nWe obtain Gini coefficients by using [Stata\u2019s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function..",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Blues",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poorest decile (after tax)",
                    "slug": "thr_p10_dhi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income below which 10% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "2nd decile (after tax)",
                    "slug": "thr_p20_dhi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income below which 20% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "3rd decile (after tax)",
                    "slug": "thr_p30_dhi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income below which 30% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "4th decile (after tax)",
                    "slug": "thr_p40_dhi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income below which 40% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "5th decile (median) (after tax)",
                    "slug": "thr_p50_dhi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income below which 50% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "6th decile (after tax)",
                    "slug": "thr_p60_dhi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income below which 60% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "7th decile (after tax)",
                    "slug": "thr_p70_dhi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income below which 70% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "8th decile (after tax)",
                    "slug": "thr_p80_dhi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income below which 80% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Richest decile (after tax)",
                    "slug": "thr_p90_dhi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income below which 90% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poorest decile (after tax)",
                    "slug": "avg_p10_dhi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income within the poorest decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "2nd decile (after tax)",
                    "slug": "avg_p20_dhi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income within the 2nd decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "3rd decile (after tax)",
                    "slug": "avg_p30_dhi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income within the 3rd decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "4th decile (after tax)",
                    "slug": "avg_p40_dhi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income within the 4th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "5th decile (after tax)",
                    "slug": "avg_p50_dhi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income within the 5th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "6th decile (after tax)",
                    "slug": "avg_p60_dhi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income within the 6th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "7th decile (after tax)",
                    "slug": "avg_p70_dhi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income within the 7th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "8th decile (after tax)",
                    "slug": "avg_p80_dhi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income within the 8th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "9th decile (after tax)",
                    "slug": "avg_p90_dhi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income within the 9th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Richest decile (after tax)",
                    "slug": "avg_p100_dhi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income within the richest decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poorest decile (after tax)",
                    "slug": "share_p10_dhi_pc",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The share of income received by the poorest decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "0.5;1;1.5;2;2.5;3;3.5;4",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "2nd decile (after tax)",
                    "slug": "share_p20_dhi_pc",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The share of income received by the 2nd decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "1;2;3;4;5;6",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "3rd decile (after tax)",
                    "slug": "share_p30_dhi_pc",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The share of income received by the 3rd decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "1;2;3;4;5;6;7",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "4th decile (after tax)",
                    "slug": "share_p40_dhi_pc",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The share of income received by the 4th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "2;3;4;5;6;7;8",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "5th decile (after tax)",
                    "slug": "share_p50_dhi_pc",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The share of income received by the 5th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "3;4;5;6;7;8;9",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "6th decile (after tax)",
                    "slug": "share_p60_dhi_pc",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The share of income received by the 6th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "4;5;6;7;8;9;10",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "7th decile (after tax)",
                    "slug": "share_p70_dhi_pc",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The share of income received by the 7th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "5;6;7;8;9;10;11;12",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "8th decile (after tax)",
                    "slug": "share_p80_dhi_pc",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The share of income received by the 8th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "8;9;10;11;12;13;14",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "9th decile (after tax)",
                    "slug": "share_p90_dhi_pc",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The share of income received by the 9th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "10;12;14;16;18",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Richest decile (after tax)",
                    "slug": "share_p100_dhi_pc",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The share of income received by the richest decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "20;25;30;35;40;45",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Mean income (after tax)",
                    "slug": "mean_dhi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy mean_dhi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Mean income per day.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nWe obtain Gini coefficients by using [Stata\u2019s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function..",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "BuGn",
                    "colorScaleNumericBins": "10;20;50;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Median income (after tax)",
                    "slug": "median_dhi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy median_dhi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per day below which half of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nWe obtain Gini coefficients by using [Stata\u2019s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function..",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Blues",
                    "colorScaleNumericBins": "10;20;50;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poorest decile (after tax)",
                    "slug": "thr_p10_dhi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p10_dhi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per day below which 10% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10;20;50;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "2nd decile (after tax)",
                    "slug": "thr_p20_dhi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p20_dhi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per day below which 20% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10;20;50;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "3rd decile (after tax)",
                    "slug": "thr_p30_dhi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p30_dhi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per day below which 30% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10;20;50;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "4th decile (after tax)",
                    "slug": "thr_p40_dhi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p40_dhi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per day below which 40% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10;20;50;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "5th decile (median) (after tax)",
                    "slug": "thr_p50_dhi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p50_dhi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per day below which 50% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10;20;50;100;200",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "6th decile (after tax)",
                    "slug": "thr_p60_dhi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p60_dhi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per day below which 60% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10;20;50;100;200",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "7th decile (after tax)",
                    "slug": "thr_p70_dhi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p70_dhi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per day below which 70% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10;20;50;100;200",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "8th decile (after tax)",
                    "slug": "thr_p80_dhi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p80_dhi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per day below which 80% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10;20;50;100;200",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Richest decile (after tax)",
                    "slug": "thr_p90_dhi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p90_dhi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per day below which 90% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10;20;50;100;200;500",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poorest decile (after tax)",
                    "slug": "avg_p10_dhi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p10_dhi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per day within the poorest decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1;2;5;10;20;50",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "2nd decile (after tax)",
                    "slug": "avg_p20_dhi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p20_dhi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per day within the 2nd decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10;20;50;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "3rd decile (after tax)",
                    "slug": "avg_p30_dhi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p30_dhi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per day within the 3rd decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10;20;50;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "4th decile (after tax)",
                    "slug": "avg_p40_dhi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p40_dhi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per day within the 4th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10;20;50;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "5th decile (after tax)",
                    "slug": "avg_p50_dhi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p50_dhi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per day within the 5th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10;20;50;100;200",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "6th decile (after tax)",
                    "slug": "avg_p60_dhi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p60_dhi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per day within the 6th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10;20;50;100;200",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "7th decile (after tax)",
                    "slug": "avg_p70_dhi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p70_dhi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per day within the 7th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10;20;50;100;200",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "8th decile (after tax)",
                    "slug": "avg_p80_dhi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p80_dhi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per day within the 8th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10;20;50;100;200",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "9th decile (after tax)",
                    "slug": "avg_p90_dhi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p90_dhi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per day within the 9th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10;20;50;100;200;500",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Richest decile (after tax)",
                    "slug": "avg_p100_dhi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p100_dhi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per day within the richest decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10;20;50;100;200;500",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Mean income (after tax)",
                    "slug": "mean_dhi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy mean_dhi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Mean income per month.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nWe obtain Gini coefficients by using [Stata\u2019s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function..",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "BuGn",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Median income (after tax)",
                    "slug": "median_dhi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy median_dhi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per month below which half of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nWe obtain Gini coefficients by using [Stata\u2019s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function..",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Blues",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poorest decile (after tax)",
                    "slug": "thr_p10_dhi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p10_dhi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per month below which 10% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "100;200;500;1000;2000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "2nd decile (after tax)",
                    "slug": "thr_p20_dhi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p20_dhi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per month below which 20% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "3rd decile (after tax)",
                    "slug": "thr_p30_dhi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p30_dhi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per month below which 30% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "4th decile (after tax)",
                    "slug": "thr_p40_dhi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p40_dhi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per month below which 40% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "5th decile (median) (after tax)",
                    "slug": "thr_p50_dhi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p50_dhi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per month below which 50% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "6th decile (after tax)",
                    "slug": "thr_p60_dhi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p60_dhi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per month below which 60% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "7th decile (after tax)",
                    "slug": "thr_p70_dhi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p70_dhi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per month below which 70% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "8th decile (after tax)",
                    "slug": "thr_p80_dhi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p80_dhi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per month below which 80% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000;10000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Richest decile (after tax)",
                    "slug": "thr_p90_dhi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p90_dhi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per month below which 90% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000;10000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poorest decile (after tax)",
                    "slug": "avg_p10_dhi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p10_dhi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per month within the poorest decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "100;200;500;1000;2000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "2nd decile (after tax)",
                    "slug": "avg_p20_dhi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p20_dhi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per month within the 2nd decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "100;200;500;1000;2000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "3rd decile (after tax)",
                    "slug": "avg_p30_dhi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p30_dhi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per month within the 3rd decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "4th decile (after tax)",
                    "slug": "avg_p40_dhi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p40_dhi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per month within the 4th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "5th decile (after tax)",
                    "slug": "avg_p50_dhi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p50_dhi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per month within the 5th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "6th decile (after tax)",
                    "slug": "avg_p60_dhi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p60_dhi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per month within the 6th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "7th decile (after tax)",
                    "slug": "avg_p70_dhi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p70_dhi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per month within the 7th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "8th decile (after tax)",
                    "slug": "avg_p80_dhi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p80_dhi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per month within the 8th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1000;2000;5000;10000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "9th decile (after tax)",
                    "slug": "avg_p90_dhi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p90_dhi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per month within the 9th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1000;2000;5000;10000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Richest decile (after tax)",
                    "slug": "avg_p100_dhi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p100_dhi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per month within the richest decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Mean income (after tax)",
                    "slug": "mean_dhi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy mean_dhi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Mean income per year.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nWe obtain Gini coefficients by using [Stata\u2019s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function..",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "BuGn",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Median income (after tax)",
                    "slug": "median_dhi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy median_dhi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per year below which half of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nWe obtain Gini coefficients by using [Stata\u2019s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function..",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Blues",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poorest decile (after tax)",
                    "slug": "thr_p10_dhi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p10_dhi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per year below which 10% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "2nd decile (after tax)",
                    "slug": "thr_p20_dhi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p20_dhi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per year below which 20% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "3rd decile (after tax)",
                    "slug": "thr_p30_dhi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p30_dhi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per year below which 30% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "4th decile (after tax)",
                    "slug": "thr_p40_dhi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p40_dhi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per year below which 40% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "5th decile (median) (after tax)",
                    "slug": "thr_p50_dhi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p50_dhi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per year below which 50% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "6th decile (after tax)",
                    "slug": "thr_p60_dhi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p60_dhi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per year below which 60% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "7th decile (after tax)",
                    "slug": "thr_p70_dhi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p70_dhi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per year below which 70% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000;100000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "8th decile (after tax)",
                    "slug": "thr_p80_dhi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p80_dhi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per year below which 80% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10000;20000;50000;100000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Richest decile (after tax)",
                    "slug": "thr_p90_dhi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p90_dhi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per year below which 90% of the population falls.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10000;20000;50000;100000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poorest decile (after tax)",
                    "slug": "avg_p10_dhi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p10_dhi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per year within the poorest decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "2nd decile (after tax)",
                    "slug": "avg_p20_dhi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p20_dhi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per year within the 2nd decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "3rd decile (after tax)",
                    "slug": "avg_p30_dhi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p30_dhi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per year within the 3rd decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "4th decile (after tax)",
                    "slug": "avg_p40_dhi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p40_dhi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per year within the 4th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "5th decile (after tax)",
                    "slug": "avg_p50_dhi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p50_dhi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per year within the 5th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "6th decile (after tax)",
                    "slug": "avg_p60_dhi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p60_dhi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per year within the 6th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "7th decile (after tax)",
                    "slug": "avg_p70_dhi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p70_dhi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per year within the 7th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10000;20000;50000;100000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "8th decile (after tax)",
                    "slug": "avg_p80_dhi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p80_dhi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per year within the 8th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10000;20000;50000;100000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "9th decile (after tax)",
                    "slug": "avg_p90_dhi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p90_dhi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per year within the 9th decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10000;20000;50000;100000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Richest decile (after tax)",
                    "slug": "avg_p100_dhi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p100_dhi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per year within the richest decile (tenth of the population).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10000;20000;50000;100000;200000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Mean income (before tax)",
                    "slug": "mean_mi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Mean income.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nWe obtain Gini coefficients by using [Stata\u2019s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function..",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "BuGn",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Median income (before tax)",
                    "slug": "median_mi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income below which half of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nWe obtain Gini coefficients by using [Stata\u2019s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function..",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Blues",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poorest decile (before tax)",
                    "slug": "thr_p10_mi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income below which 10% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "2nd decile (before tax)",
                    "slug": "thr_p20_mi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income below which 20% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "3rd decile (before tax)",
                    "slug": "thr_p30_mi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income below which 30% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "4th decile (before tax)",
                    "slug": "thr_p40_mi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income below which 40% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "5th decile (median) (before tax)",
                    "slug": "thr_p50_mi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income below which 50% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "6th decile (before tax)",
                    "slug": "thr_p60_mi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income below which 60% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "7th decile (before tax)",
                    "slug": "thr_p70_mi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income below which 70% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "8th decile (before tax)",
                    "slug": "thr_p80_mi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income below which 80% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Richest decile (before tax)",
                    "slug": "thr_p90_mi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income below which 90% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poorest decile (before tax)",
                    "slug": "avg_p10_mi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income within the poorest decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "2nd decile (before tax)",
                    "slug": "avg_p20_mi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income within the 2nd decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "3rd decile (before tax)",
                    "slug": "avg_p30_mi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income within the 3rd decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "4th decile (before tax)",
                    "slug": "avg_p40_mi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income within the 4th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "5th decile (before tax)",
                    "slug": "avg_p50_mi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income within the 5th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "6th decile (before tax)",
                    "slug": "avg_p60_mi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income within the 6th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "7th decile (before tax)",
                    "slug": "avg_p70_mi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income within the 7th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "8th decile (before tax)",
                    "slug": "avg_p80_mi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income within the 8th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "9th decile (before tax)",
                    "slug": "avg_p90_mi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income within the 9th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Richest decile (before tax)",
                    "slug": "avg_p100_mi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income within the richest decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poorest decile (before tax)",
                    "slug": "share_p10_mi_eq",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The share of income received by the poorest decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "0.1;0.2;0.3;0.4;0.5",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "2nd decile (before tax)",
                    "slug": "share_p20_mi_eq",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The share of income received by the 2nd decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "0.5;1;1.5;2;2.5;3;3.5",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "3rd decile (before tax)",
                    "slug": "share_p30_mi_eq",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The share of income received by the 3rd decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "2;3;4;5;6",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "4th decile (before tax)",
                    "slug": "share_p40_mi_eq",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The share of income received by the 4th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "2;3;4;5;6;7",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "5th decile (before tax)",
                    "slug": "share_p50_mi_eq",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The share of income received by the 5th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "3;4;5;6;7;8;9",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "6th decile (before tax)",
                    "slug": "share_p60_mi_eq",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The share of income received by the 6th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "3;4;5;6;7;8;9;10",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "7th decile (before tax)",
                    "slug": "share_p70_mi_eq",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The share of income received by the 7th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "4;5;6;7;8;9;10;11;12",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "8th decile (before tax)",
                    "slug": "share_p80_mi_eq",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The share of income received by the 8th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "6;7;8;9;10;11;12;13;14",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "9th decile (before tax)",
                    "slug": "share_p90_mi_eq",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The share of income received by the 9th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "10;11;12;13;14;15;16;17;18",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Richest decile (before tax)",
                    "slug": "share_p100_mi_eq",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The share of income received by the richest decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "30;35;40;45;50;55",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Mean income (before tax)",
                    "slug": "mean_mi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy mean_mi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Mean income per day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nWe obtain Gini coefficients by using [Stata\u2019s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function..",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "BuGn",
                    "colorScaleNumericBins": "10;20;50;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Median income (before tax)",
                    "slug": "median_mi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy median_mi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per day below which half of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nWe obtain Gini coefficients by using [Stata\u2019s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function..",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Blues",
                    "colorScaleNumericBins": "10;20;50;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poorest decile (before tax)",
                    "slug": "thr_p10_mi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p10_mi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per day below which 10% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "1;2;5;10;20;50",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "2nd decile (before tax)",
                    "slug": "thr_p20_mi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p20_mi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per day below which 20% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "1;2;5;10;20;50;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "3rd decile (before tax)",
                    "slug": "thr_p30_mi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p30_mi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per day below which 30% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10;20;50;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "4th decile (before tax)",
                    "slug": "thr_p40_mi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p40_mi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per day below which 40% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10;20;50;100;200",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "5th decile (median) (before tax)",
                    "slug": "thr_p50_mi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p50_mi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per day below which 50% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10;20;50;100;200",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "6th decile (before tax)",
                    "slug": "thr_p60_mi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p60_mi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per day below which 60% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10;20;50;100;200",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "7th decile (before tax)",
                    "slug": "thr_p70_mi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p70_mi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per day below which 70% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10;20;50;100;200",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "8th decile (before tax)",
                    "slug": "thr_p80_mi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p80_mi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per day below which 80% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10;20;50;100;200;500",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Richest decile (before tax)",
                    "slug": "thr_p90_mi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p90_mi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per day below which 90% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10;20;50;100;200;500",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poorest decile (before tax)",
                    "slug": "avg_p10_mi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p10_mi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per day within the poorest decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "0.1;0.2;0.5;1;2;5;10",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "2nd decile (before tax)",
                    "slug": "avg_p20_mi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p20_mi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per day within the 2nd decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1;2;5;10;20;50",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "3rd decile (before tax)",
                    "slug": "avg_p30_mi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p30_mi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per day within the 3rd decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1;2;5;10;20;50",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "4th decile (before tax)",
                    "slug": "avg_p40_mi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p40_mi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per day within the 4th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10;20;50;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "5th decile (before tax)",
                    "slug": "avg_p50_mi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p50_mi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per day within the 5th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10;20;50;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "6th decile (before tax)",
                    "slug": "avg_p60_mi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p60_mi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per day within the 6th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10;20;50;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "7th decile (before tax)",
                    "slug": "avg_p70_mi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p70_mi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per day within the 7th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10;20;50;100;200",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "8th decile (before tax)",
                    "slug": "avg_p80_mi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p80_mi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per day within the 8th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10;20;50;100;200",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "9th decile (before tax)",
                    "slug": "avg_p90_mi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p90_mi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per day within the 9th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10;20;50;100;200",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Richest decile (before tax)",
                    "slug": "avg_p100_mi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p100_mi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per day within the richest decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10;20;50;100;200;500",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Mean income (before tax)",
                    "slug": "mean_mi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy mean_mi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Mean income per month.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nWe obtain Gini coefficients by using [Stata\u2019s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function..",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "BuGn",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Median income (before tax)",
                    "slug": "median_mi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy median_mi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per month below which half of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nWe obtain Gini coefficients by using [Stata\u2019s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function..",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Blues",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poorest decile (before tax)",
                    "slug": "thr_p10_mi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p10_mi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per month below which 10% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10;20;50;100;200;500;1000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "2nd decile (before tax)",
                    "slug": "thr_p20_mi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p20_mi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per month below which 20% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "100;200;500;1000;2000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "3rd decile (before tax)",
                    "slug": "thr_p30_mi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p30_mi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per month below which 30% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "100;200;500;1000;2000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "4th decile (before tax)",
                    "slug": "thr_p40_mi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p40_mi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per month below which 40% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "5th decile (median) (before tax)",
                    "slug": "thr_p50_mi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p50_mi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per month below which 50% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "6th decile (before tax)",
                    "slug": "thr_p60_mi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p60_mi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per month below which 60% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "7th decile (before tax)",
                    "slug": "thr_p70_mi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p70_mi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per month below which 70% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000;10000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "8th decile (before tax)",
                    "slug": "thr_p80_mi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p80_mi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per month below which 80% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "1000;2000;5000;10000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Richest decile (before tax)",
                    "slug": "thr_p90_mi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p90_mi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per month below which 90% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "1000;2000;5000;10000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poorest decile (before tax)",
                    "slug": "avg_p10_mi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p10_mi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per month within the poorest decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10;20;50;100;200",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "2nd decile (before tax)",
                    "slug": "avg_p20_mi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p20_mi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per month within the 2nd decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10;20;50;100;200;500;1000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "3rd decile (before tax)",
                    "slug": "avg_p30_mi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p30_mi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per month within the 3rd decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "100;200;500;1000;2000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "4th decile (before tax)",
                    "slug": "avg_p40_mi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p40_mi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per month within the 4th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "5th decile (before tax)",
                    "slug": "avg_p50_mi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p50_mi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per month within the 5th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "6th decile (before tax)",
                    "slug": "avg_p60_mi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p60_mi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per month within the 6th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "7th decile (before tax)",
                    "slug": "avg_p70_mi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p70_mi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per month within the 7th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "8th decile (before tax)",
                    "slug": "avg_p80_mi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p80_mi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per month within the 8th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000;10000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "9th decile (before tax)",
                    "slug": "avg_p90_mi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p90_mi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per month within the 9th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1000;2000;5000;10000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Richest decile (before tax)",
                    "slug": "avg_p100_mi_eq_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p100_mi_eq 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per month within the richest decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Mean income (before tax)",
                    "slug": "mean_mi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy mean_mi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Mean income per year.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nWe obtain Gini coefficients by using [Stata\u2019s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function..",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "BuGn",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Median income (before tax)",
                    "slug": "median_mi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy median_mi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per year below which half of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nWe obtain Gini coefficients by using [Stata\u2019s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function..",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Blues",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poorest decile (before tax)",
                    "slug": "thr_p10_mi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p10_mi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per year below which 10% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000;10000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "2nd decile (before tax)",
                    "slug": "thr_p20_mi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p20_mi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per year below which 20% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "3rd decile (before tax)",
                    "slug": "thr_p30_mi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p30_mi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per year below which 30% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "4th decile (before tax)",
                    "slug": "thr_p40_mi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p40_mi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per year below which 40% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "5th decile (median) (before tax)",
                    "slug": "thr_p50_mi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p50_mi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per year below which 50% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "6th decile (before tax)",
                    "slug": "thr_p60_mi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p60_mi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per year below which 60% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000;100000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "7th decile (before tax)",
                    "slug": "thr_p70_mi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p70_mi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per year below which 70% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000;100000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "8th decile (before tax)",
                    "slug": "thr_p80_mi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p80_mi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per year below which 80% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10000;20000;50000;100000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Richest decile (before tax)",
                    "slug": "thr_p90_mi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p90_mi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per year below which 90% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10000;20000;50000;100000;200000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poorest decile (before tax)",
                    "slug": "avg_p10_mi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p10_mi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per year within the poorest decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "100;200;500;1000;2000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "2nd decile (before tax)",
                    "slug": "avg_p20_mi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p20_mi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per year within the 2nd decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "3rd decile (before tax)",
                    "slug": "avg_p30_mi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p30_mi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per year within the 3rd decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "4th decile (before tax)",
                    "slug": "avg_p40_mi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p40_mi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per year within the 4th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "5th decile (before tax)",
                    "slug": "avg_p50_mi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p50_mi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per year within the 5th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "6th decile (before tax)",
                    "slug": "avg_p60_mi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p60_mi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per year within the 6th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "7th decile (before tax)",
                    "slug": "avg_p70_mi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p70_mi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per year within the 7th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000;100000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "8th decile (before tax)",
                    "slug": "avg_p80_mi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p80_mi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per year within the 8th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000;100000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "9th decile (before tax)",
                    "slug": "avg_p90_mi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p90_mi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per year within the 9th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10000;20000;50000;100000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Richest decile (before tax)",
                    "slug": "avg_p100_mi_eq_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p100_mi_eq 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per year within the richest decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10000;20000;50000;100000;200000;500000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Mean income (before tax)",
                    "slug": "mean_mi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Mean income.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nWe obtain Gini coefficients by using [Stata\u2019s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function..",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "BuGn",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Median income (before tax)",
                    "slug": "median_mi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income below which half of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nWe obtain Gini coefficients by using [Stata\u2019s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function..",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Blues",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poorest decile (before tax)",
                    "slug": "thr_p10_mi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income below which 10% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "2nd decile (before tax)",
                    "slug": "thr_p20_mi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income below which 20% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "3rd decile (before tax)",
                    "slug": "thr_p30_mi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income below which 30% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "4th decile (before tax)",
                    "slug": "thr_p40_mi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income below which 40% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "5th decile (median) (before tax)",
                    "slug": "thr_p50_mi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income below which 50% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "6th decile (before tax)",
                    "slug": "thr_p60_mi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income below which 60% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "7th decile (before tax)",
                    "slug": "thr_p70_mi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income below which 70% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "8th decile (before tax)",
                    "slug": "thr_p80_mi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income below which 80% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Richest decile (before tax)",
                    "slug": "thr_p90_mi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income below which 90% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poorest decile (before tax)",
                    "slug": "avg_p10_mi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income within the poorest decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "2nd decile (before tax)",
                    "slug": "avg_p20_mi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income within the 2nd decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "3rd decile (before tax)",
                    "slug": "avg_p30_mi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income within the 3rd decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "4th decile (before tax)",
                    "slug": "avg_p40_mi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income within the 4th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "5th decile (before tax)",
                    "slug": "avg_p50_mi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income within the 5th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "6th decile (before tax)",
                    "slug": "avg_p60_mi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income within the 6th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "7th decile (before tax)",
                    "slug": "avg_p70_mi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income within the 7th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "8th decile (before tax)",
                    "slug": "avg_p80_mi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income within the 8th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "9th decile (before tax)",
                    "slug": "avg_p90_mi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income within the 9th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Richest decile (before tax)",
                    "slug": "avg_p100_mi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income within the richest decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poorest decile (before tax)",
                    "slug": "share_p10_mi_pc",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The share of income received by the poorest decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "0.1;0.2;0.3;0.4;0.5",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "2nd decile (before tax)",
                    "slug": "share_p20_mi_pc",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The share of income received by the 2nd decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "0.5;1;1.5;2;2.5;3;3.5",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "3rd decile (before tax)",
                    "slug": "share_p30_mi_pc",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The share of income received by the 3rd decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "2;3;4;5;6",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "4th decile (before tax)",
                    "slug": "share_p40_mi_pc",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The share of income received by the 4th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "2;3;4;5;6;7",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "5th decile (before tax)",
                    "slug": "share_p50_mi_pc",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The share of income received by the 5th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "3;4;5;6;7;8;9",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "6th decile (before tax)",
                    "slug": "share_p60_mi_pc",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The share of income received by the 6th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "3;4;5;6;7;8;9;10",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "7th decile (before tax)",
                    "slug": "share_p70_mi_pc",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The share of income received by the 7th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "4;5;6;7;8;9;10;11;12",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "8th decile (before tax)",
                    "slug": "share_p80_mi_pc",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The share of income received by the 8th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "6;7;8;9;10;11;12;13;14",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "9th decile (before tax)",
                    "slug": "share_p90_mi_pc",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The share of income received by the 9th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "10;11;12;13;14;15;16;17;18",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Richest decile (before tax)",
                    "slug": "share_p100_mi_pc",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The share of income received by the richest decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "30;35;40;45;50;55",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Mean income (before tax)",
                    "slug": "mean_mi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy mean_mi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Mean income per day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nWe obtain Gini coefficients by using [Stata\u2019s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function..",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "BuGn",
                    "colorScaleNumericBins": "10;20;50;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Median income (before tax)",
                    "slug": "median_mi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy median_mi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per day below which half of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nWe obtain Gini coefficients by using [Stata\u2019s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function..",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Blues",
                    "colorScaleNumericBins": "10;20;50;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poorest decile (before tax)",
                    "slug": "thr_p10_mi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p10_mi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per day below which 10% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "1;2;5;10;20;50",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "2nd decile (before tax)",
                    "slug": "thr_p20_mi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p20_mi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per day below which 20% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "1;2;5;10;20;50;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "3rd decile (before tax)",
                    "slug": "thr_p30_mi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p30_mi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per day below which 30% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10;20;50;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "4th decile (before tax)",
                    "slug": "thr_p40_mi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p40_mi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per day below which 40% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10;20;50;100;200",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "5th decile (median) (before tax)",
                    "slug": "thr_p50_mi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p50_mi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per day below which 50% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10;20;50;100;200",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "6th decile (before tax)",
                    "slug": "thr_p60_mi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p60_mi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per day below which 60% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10;20;50;100;200",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "7th decile (before tax)",
                    "slug": "thr_p70_mi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p70_mi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per day below which 70% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10;20;50;100;200",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "8th decile (before tax)",
                    "slug": "thr_p80_mi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p80_mi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per day below which 80% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10;20;50;100;200;500",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Richest decile (before tax)",
                    "slug": "thr_p90_mi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p90_mi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per day below which 90% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10;20;50;100;200;500",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poorest decile (before tax)",
                    "slug": "avg_p10_mi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p10_mi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per day within the poorest decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "0.1;0.2;0.5;1;2;5;10",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "2nd decile (before tax)",
                    "slug": "avg_p20_mi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p20_mi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per day within the 2nd decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1;2;5;10;20;50",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "3rd decile (before tax)",
                    "slug": "avg_p30_mi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p30_mi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per day within the 3rd decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1;2;5;10;20;50",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "4th decile (before tax)",
                    "slug": "avg_p40_mi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p40_mi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per day within the 4th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10;20;50;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "5th decile (before tax)",
                    "slug": "avg_p50_mi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p50_mi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per day within the 5th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10;20;50;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "6th decile (before tax)",
                    "slug": "avg_p60_mi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p60_mi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per day within the 6th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10;20;50;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "7th decile (before tax)",
                    "slug": "avg_p70_mi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p70_mi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per day within the 7th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10;20;50;100;200",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "8th decile (before tax)",
                    "slug": "avg_p80_mi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p80_mi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per day within the 8th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10;20;50;100;200",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "9th decile (before tax)",
                    "slug": "avg_p90_mi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p90_mi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per day within the 9th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10;20;50;100;200",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Richest decile (before tax)",
                    "slug": "avg_p100_mi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p100_mi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per day within the richest decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10;20;50;100;200;500",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Mean income (before tax)",
                    "slug": "mean_mi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy mean_mi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Mean income per month.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nWe obtain Gini coefficients by using [Stata\u2019s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function..",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "BuGn",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Median income (before tax)",
                    "slug": "median_mi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy median_mi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per month below which half of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nWe obtain Gini coefficients by using [Stata\u2019s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function..",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Blues",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poorest decile (before tax)",
                    "slug": "thr_p10_mi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p10_mi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per month below which 10% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10;20;50;100;200;500;1000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "2nd decile (before tax)",
                    "slug": "thr_p20_mi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p20_mi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per month below which 20% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "100;200;500;1000;2000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "3rd decile (before tax)",
                    "slug": "thr_p30_mi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p30_mi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per month below which 30% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "100;200;500;1000;2000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "4th decile (before tax)",
                    "slug": "thr_p40_mi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p40_mi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per month below which 40% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "5th decile (median) (before tax)",
                    "slug": "thr_p50_mi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p50_mi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per month below which 50% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "6th decile (before tax)",
                    "slug": "thr_p60_mi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p60_mi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per month below which 60% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "7th decile (before tax)",
                    "slug": "thr_p70_mi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p70_mi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per month below which 70% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000;10000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "8th decile (before tax)",
                    "slug": "thr_p80_mi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p80_mi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per month below which 80% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "1000;2000;5000;10000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Richest decile (before tax)",
                    "slug": "thr_p90_mi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p90_mi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per month below which 90% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "1000;2000;5000;10000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poorest decile (before tax)",
                    "slug": "avg_p10_mi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p10_mi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per month within the poorest decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10;20;50;100;200",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "2nd decile (before tax)",
                    "slug": "avg_p20_mi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p20_mi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per month within the 2nd decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10;20;50;100;200;500;1000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "3rd decile (before tax)",
                    "slug": "avg_p30_mi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p30_mi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per month within the 3rd decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "100;200;500;1000;2000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "4th decile (before tax)",
                    "slug": "avg_p40_mi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p40_mi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per month within the 4th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "5th decile (before tax)",
                    "slug": "avg_p50_mi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p50_mi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per month within the 5th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "6th decile (before tax)",
                    "slug": "avg_p60_mi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p60_mi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per month within the 6th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "7th decile (before tax)",
                    "slug": "avg_p70_mi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p70_mi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per month within the 7th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "8th decile (before tax)",
                    "slug": "avg_p80_mi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p80_mi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per month within the 8th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000;10000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "9th decile (before tax)",
                    "slug": "avg_p90_mi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p90_mi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per month within the 9th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1000;2000;5000;10000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Richest decile (before tax)",
                    "slug": "avg_p100_mi_pc_month",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p100_mi_pc 0.08333",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per month within the richest decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Mean income (before tax)",
                    "slug": "mean_mi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy mean_mi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Mean income per year.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nWe obtain Gini coefficients by using [Stata\u2019s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function..",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "BuGn",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Median income (before tax)",
                    "slug": "median_mi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy median_mi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per year below which half of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nWe obtain Gini coefficients by using [Stata\u2019s ineqdec0 function](https://ideas.repec.org/c/boc/bocode/s366007.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). We also calculate mean and median values from this function..",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Blues",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poorest decile (before tax)",
                    "slug": "thr_p10_mi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p10_mi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per year below which 10% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "100;200;500;1000;2000;5000;10000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "2nd decile (before tax)",
                    "slug": "thr_p20_mi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p20_mi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per year below which 20% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "3rd decile (before tax)",
                    "slug": "thr_p30_mi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p30_mi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per year below which 30% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "4th decile (before tax)",
                    "slug": "thr_p40_mi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p40_mi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per year below which 40% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "5th decile (median) (before tax)",
                    "slug": "thr_p50_mi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p50_mi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per year below which 50% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "6th decile (before tax)",
                    "slug": "thr_p60_mi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p60_mi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per year below which 60% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000;100000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "7th decile (before tax)",
                    "slug": "thr_p70_mi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p70_mi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per year below which 70% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000;100000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "8th decile (before tax)",
                    "slug": "thr_p80_mi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p80_mi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per year below which 80% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10000;20000;50000;100000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Richest decile (before tax)",
                    "slug": "thr_p90_mi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy thr_p90_mi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The level of income per year below which 90% of the population falls.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "10000;20000;50000;100000;200000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poorest decile (before tax)",
                    "slug": "avg_p10_mi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p10_mi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per year within the poorest decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "100;200;500;1000;2000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "2nd decile (before tax)",
                    "slug": "avg_p20_mi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p20_mi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per year within the 2nd decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "3rd decile (before tax)",
                    "slug": "avg_p30_mi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p30_mi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per year within the 3rd decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "4th decile (before tax)",
                    "slug": "avg_p40_mi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p40_mi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per year within the 4th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "5th decile (before tax)",
                    "slug": "avg_p50_mi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p50_mi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per year within the 5th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "6th decile (before tax)",
                    "slug": "avg_p60_mi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p60_mi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per year within the 6th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "7th decile (before tax)",
                    "slug": "avg_p70_mi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p70_mi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per year within the 7th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000;100000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "8th decile (before tax)",
                    "slug": "avg_p80_mi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p80_mi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per year within the 8th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "1000;2000;5000;10000;20000;50000;100000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "9th decile (before tax)",
                    "slug": "avg_p90_mi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p90_mi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per year within the 9th decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10000;20000;50000;100000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Richest decile (before tax)",
                    "slug": "avg_p100_mi_pc_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_p100_mi_pc 1",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The mean income per year within the richest decile (tenth of the population).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\\n\\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\\n\\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\\n\\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Greens",
                    "colorScaleNumericBins": "10000;20000;50000;100000;200000;500000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                }
            ]
        }
    ],
    "_version": 1,
    "selection": [
        "Chile",
        "Brazil",
        "South Africa",
        "United States",
        "France",
        "China"
    ],
    "wpBlockId": "57755",
    "entityType": "country or region",
    "googleSheet": "https://docs.google.com/spreadsheets/d/1UFdwB1iBpP2tEP6GtxCHvW1GGhjsFflh42FWR80rYIg",
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}