explorers: poverty-lis

{
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                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $1 a day (after tax)",
                    "ySlugs": "headcount_ratio_dhi_eq_100",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
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                    "Poverty line Dropdown": "$1 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $2 a day (after tax)",
                    "ySlugs": "headcount_ratio_dhi_eq_200",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
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                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $5 a day (after tax)",
                    "ySlugs": "headcount_ratio_dhi_eq_500",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
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                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $10 a day (after tax)",
                    "ySlugs": "headcount_ratio_dhi_eq_1000",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
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                    "Indicator Dropdown": "Share in poverty",
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                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $20 a day (after tax)",
                    "ySlugs": "headcount_ratio_dhi_eq_2000",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$20 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $30 a day (after tax)",
                    "ySlugs": "headcount_ratio_dhi_eq_3000",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
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                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$30 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $40 a day (after tax)",
                    "ySlugs": "headcount_ratio_dhi_eq_4000",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
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                    "Indicator Dropdown": "Share in poverty",
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                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $1 a day (after tax)",
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                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
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                    "Indicator Dropdown": "Number in poverty",
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                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $2 a day (after tax)",
                    "ySlugs": "headcount_dhi_eq_200",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
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                    "Indicator Dropdown": "Number in poverty",
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                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $5 a day (after tax)",
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                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
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                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "$5 per day",
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                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $10 a day (after tax)",
                    "ySlugs": "headcount_dhi_eq_1000",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
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                    "Indicator Dropdown": "Number in poverty",
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                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $20 a day (after tax)",
                    "ySlugs": "headcount_dhi_eq_2000",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
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                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "$20 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $30 a day (after tax)",
                    "ySlugs": "headcount_dhi_eq_3000",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
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                    "Indicator Dropdown": "Number in poverty",
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                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $40 a day (after tax)",
                    "ySlugs": "headcount_dhi_eq_4000",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
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                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "$40 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices. The cost of closing the poverty gap does not take into account costs and inefficiencies from making the necessary transfers.",
                    "title": "Total shortfall from a poverty line of $1 a day (after tax)",
                    "ySlugs": "total_shortfall_dhi_eq_100",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $1 a day. This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "$1 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices. The cost of closing the poverty gap does not take into account costs and inefficiencies from making the necessary transfers.",
                    "title": "Total shortfall from a poverty line of $2 a day (after tax)",
                    "ySlugs": "total_shortfall_dhi_eq_200",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $2 a day. This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "$2 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices. The cost of closing the poverty gap does not take into account costs and inefficiencies from making the necessary transfers.",
                    "title": "Total shortfall from a poverty line of $5 a day (after tax)",
                    "ySlugs": "total_shortfall_dhi_eq_500",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $5 a day. This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "$5 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices. The cost of closing the poverty gap does not take into account costs and inefficiencies from making the necessary transfers.",
                    "title": "Total shortfall from a poverty line of $10 a day (after tax)",
                    "ySlugs": "total_shortfall_dhi_eq_1000",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $10 a day. This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "$10 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices. The cost of closing the poverty gap does not take into account costs and inefficiencies from making the necessary transfers.",
                    "title": "Total shortfall from a poverty line of $20 a day (after tax)",
                    "ySlugs": "total_shortfall_dhi_eq_2000",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $20 a day. This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
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                    "Indicator Dropdown": "Total shortfall from poverty line",
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                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices. The cost of closing the poverty gap does not take into account costs and inefficiencies from making the necessary transfers.",
                    "title": "Total shortfall from a poverty line of $30 a day (after tax)",
                    "ySlugs": "total_shortfall_dhi_eq_3000",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $30 a day. This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
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                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
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                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices. The cost of closing the poverty gap does not take into account costs and inefficiencies from making the necessary transfers.",
                    "title": "Total shortfall from a poverty line of $40 a day (after tax)",
                    "ySlugs": "total_shortfall_dhi_eq_4000",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $40 a day. This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
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                    "Indicator Dropdown": "Total shortfall from poverty line",
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                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $1 a day (after tax)",
                    "ySlugs": "avg_shortfall_dhi_eq_100_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $1 a day, averaged across the population in poverty. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "$1 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $2 a day (after tax)",
                    "ySlugs": "avg_shortfall_dhi_eq_200_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $2 a day, averaged across the population in poverty. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "$2 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $5 a day (after tax)",
                    "ySlugs": "avg_shortfall_dhi_eq_500_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $5 a day, averaged across the population in poverty. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "$5 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $10 a day (after tax)",
                    "ySlugs": "avg_shortfall_dhi_eq_1000_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $10 a day, averaged across the population in poverty. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "$10 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $20 a day (after tax)",
                    "ySlugs": "avg_shortfall_dhi_eq_2000_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $20 a day, averaged across the population in poverty. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "$20 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $30 a day (after tax)",
                    "ySlugs": "avg_shortfall_dhi_eq_3000_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $30 a day, averaged across the population in poverty. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "$30 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $40 a day (after tax)",
                    "ySlugs": "avg_shortfall_dhi_eq_4000_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $40 a day, averaged across the population in poverty. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "$40 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $1 a day (as a share of the poverty line) (after tax)",
                    "ySlugs": "income_gap_ratio_dhi_eq_100",
                    "subtitle": "This is the average shortfall expressed as a share of the poverty line, sometimes called the 'income gap ratio'. It captures the depth of poverty of those living on less than $1 a day. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "$1 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $2 a day (as a share of the poverty line) (after tax)",
                    "ySlugs": "income_gap_ratio_dhi_eq_200",
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                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
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                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $5 a day (as a share of the poverty line) (after tax)",
                    "ySlugs": "income_gap_ratio_dhi_eq_500",
                    "subtitle": "This is the average shortfall expressed as a share of the poverty line, sometimes called the 'income gap ratio'. It captures the depth of poverty of those living on less than $5 a day. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "$5 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $10 a day (as a share of the poverty line) (after tax)",
                    "ySlugs": "income_gap_ratio_dhi_eq_1000",
                    "subtitle": "This is the average shortfall expressed as a share of the poverty line, sometimes called the 'income gap ratio'. It captures the depth of poverty of those living on less than $10 a day. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "$10 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $20 a day (as a share of the poverty line) (after tax)",
                    "ySlugs": "income_gap_ratio_dhi_eq_2000",
                    "subtitle": "This is the average shortfall expressed as a share of the poverty line, sometimes called the 'income gap ratio'. It captures the depth of poverty of those living on less than $20 a day. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "$20 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $30 a day (as a share of the poverty line) (after tax)",
                    "ySlugs": "income_gap_ratio_dhi_eq_3000",
                    "subtitle": "This is the average shortfall expressed as a share of the poverty line, sometimes called the 'income gap ratio'. It captures the depth of poverty of those living on less than $30 a day. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "$30 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $40 a day (as a share of the poverty line) (after tax)",
                    "ySlugs": "income_gap_ratio_dhi_eq_4000",
                    "subtitle": "This is the average shortfall expressed as a share of the poverty line, sometimes called the 'income gap ratio'. It captures the depth of poverty of those living on less than $40 a day. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "$40 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Poverty gap index at $1 a day (after tax)",
                    "ySlugs": "poverty_gap_index_dhi_eq_100",
                    "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. It is calculated as the share of population in poverty multiplied by the average shortfall from the poverty line (expressed as a % of the poverty line). Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "$1 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Poverty gap index at $2 a day (after tax)",
                    "ySlugs": "poverty_gap_index_dhi_eq_200",
                    "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. It is calculated as the share of population in poverty multiplied by the average shortfall from the poverty line (expressed as a % of the poverty line). Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "$2 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Poverty gap index at $5 a day (after tax)",
                    "ySlugs": "poverty_gap_index_dhi_eq_500",
                    "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. It is calculated as the share of population in poverty multiplied by the average shortfall from the poverty line (expressed as a % of the poverty line). Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "$5 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Poverty gap index at $10 a day (after tax)",
                    "ySlugs": "poverty_gap_index_dhi_eq_1000",
                    "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. It is calculated as the share of population in poverty multiplied by the average shortfall from the poverty line (expressed as a % of the poverty line). Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "$10 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Poverty gap index at $20 a day (after tax)",
                    "ySlugs": "poverty_gap_index_dhi_eq_2000",
                    "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. It is calculated as the share of population in poverty multiplied by the average shortfall from the poverty line (expressed as a % of the poverty line). Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "$20 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Poverty gap index at $30 a day (after tax)",
                    "ySlugs": "poverty_gap_index_dhi_eq_3000",
                    "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. It is calculated as the share of population in poverty multiplied by the average shortfall from the poverty line (expressed as a % of the poverty line). Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "$30 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Poverty gap index at $40 a day (after tax)",
                    "ySlugs": "poverty_gap_index_dhi_eq_4000",
                    "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. It is calculated as the share of population in poverty multiplied by the average shortfall from the poverty line (expressed as a % of the poverty line). Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "$40 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Share of population living below a range of poverty lines (after tax)",
                    "ySlugs": "headcount_ratio_dhi_eq_100 headcount_ratio_dhi_eq_200 headcount_ratio_dhi_eq_500 headcount_ratio_dhi_eq_1000 headcount_ratio_dhi_eq_2000 headcount_ratio_dhi_eq_3000 headcount_ratio_dhi_eq_4000",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "Multiple lines",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Number of people living below a range of poverty lines (after tax)",
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                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "Multiple lines",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices. The cost of closing the poverty gap does not take into account costs and inefficiencies from making the necessary transfers.",
                    "title": "Total shortfall from a range of poverty lines (after tax)",
                    "ySlugs": "total_shortfall_dhi_eq_100 total_shortfall_dhi_eq_200 total_shortfall_dhi_eq_500 total_shortfall_dhi_eq_1000 total_shortfall_dhi_eq_2000 total_shortfall_dhi_eq_3000 total_shortfall_dhi_eq_4000",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "Multiple lines",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Average shortfall from a range of poverty lines (after tax)",
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                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "Multiple lines",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a range of poverty lines (as a share of the poverty line) (after tax)",
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                    "subtitle": "Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
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                    "selectedFacetStrategy": "entity",
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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.",
                    "title": "Poverty gap index at a range of poverty lines (after tax)",
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                    "subtitle": "Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
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                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "title": "Relative poverty: Share of people below 40% of the median income (after tax)",
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                    "subtitle": "Relative poverty is measured in terms of a poverty line that rises and falls over time with average incomes \u2013 in this case set at 40% of the median income. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
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                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "title": "Relative poverty: Share of people below 50% of the median income (after tax)",
                    "ySlugs": "headcount_ratio_50_median_dhi_eq",
                    "subtitle": "Relative poverty is measured in terms of a poverty line that rises and falls over time with average incomes \u2013 in this case set at 50% of the median income. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
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                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "title": "Relative poverty: Share of people below 60% of the median income (after tax)",
                    "ySlugs": "headcount_ratio_60_median_dhi_eq",
                    "subtitle": "Relative poverty is measured in terms of a poverty line that rises and falls over time with average incomes \u2013 in this case set at 60% of the median income. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
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                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "title": "Relative poverty: Number of people below 40% of the median income (after tax)",
                    "ySlugs": "headcount_40_median_dhi_eq",
                    "subtitle": "Relative poverty is measured in terms of a poverty line that rises and falls over time with average incomes \u2013 in this case set at 40% of the median income. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
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                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "title": "Relative poverty: Number of people below 50% of the median income (after tax)",
                    "ySlugs": "headcount_50_median_dhi_eq",
                    "subtitle": "Relative poverty is measured in terms of a poverty line that rises and falls over time with average incomes \u2013 in this case set at 50% of the median income. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
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                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "title": "Relative poverty: Number of people below 60% of the median income (after tax)",
                    "ySlugs": "headcount_60_median_dhi_eq",
                    "subtitle": "Relative poverty is measured in terms of a poverty line that rises and falls over time with average incomes \u2013 in this case set at 60% of the median income. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
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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.",
                    "title": "Total shortfall from a poverty line of 40% of the median income (after tax)",
                    "ySlugs": "total_shortfall_40_median_dhi_eq",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to 40% of the median income. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
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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.",
                    "title": "Total shortfall from a poverty line of 50% of the median income (after tax)",
                    "ySlugs": "total_shortfall_50_median_dhi_eq",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to 50% of the median income. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "Relative poverty: 50% of median",
                    "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.",
                    "title": "Total shortfall from a poverty line of 60% of the median income (after tax)",
                    "ySlugs": "total_shortfall_60_median_dhi_eq",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to 60% of the median income. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "Relative poverty: 60% of median",
                    "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.",
                    "title": "Average shortfall from a poverty line of 40% of the median income (after tax)",
                    "ySlugs": "avg_shortfall_40_median_dhi_eq_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to 40% of the median income, averaged across the population in poverty. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "Relative poverty: 40% of median",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of 50% of the median income (after tax)",
                    "ySlugs": "avg_shortfall_50_median_dhi_eq_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to 50% of the median income, averaged across the population in poverty. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "Relative poverty: 50% of median",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of 60% of the median income (after tax)",
                    "ySlugs": "avg_shortfall_60_median_dhi_eq_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to 60% of the median income, averaged across the population in poverty. Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "Relative poverty: 60% of median",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of 40% of the median income (as a share of the poverty line) (after tax)",
                    "ySlugs": "income_gap_ratio_40_median_dhi_eq",
                    "subtitle": "\"This is the average shortfall expressed as a share of the poverty line, sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than 40% of the median income. Income here is measured after taxes and benefits. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\"",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "Relative poverty: 40% of median",
                    "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.",
                    "title": "Average shortfall from a poverty line of 50% of the median income (as a share of the poverty line) (after tax)",
                    "ySlugs": "income_gap_ratio_50_median_dhi_eq",
                    "subtitle": "\"This is the average shortfall expressed as a share of the poverty line, sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than 50% of the median income. Income here is measured after taxes and benefits. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\"",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "Relative poverty: 50% of median",
                    "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.",
                    "title": "Average shortfall from a poverty line of 60% of the median income (as a share of the poverty line) (after tax)",
                    "ySlugs": "income_gap_ratio_60_median_dhi_eq",
                    "subtitle": "\"This is the average shortfall expressed as a share of the poverty line, sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than 60% of the median income. Income here is measured after taxes and benefits. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\"",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "Relative poverty: 60% of median",
                    "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.",
                    "title": "Poverty gap index at 40% of the median income (after tax)",
                    "ySlugs": "poverty_gap_index_40_median_dhi_eq",
                    "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. It is calculated as the share of population in poverty multiplied by the average shortfall from the poverty line (expressed as a % of the poverty line). Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "Relative poverty: 40% of median",
                    "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.",
                    "title": "Poverty gap index at 50% of the median income (after tax)",
                    "ySlugs": "poverty_gap_index_50_median_dhi_eq",
                    "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. It is calculated as the share of population in poverty multiplied by the average shortfall from the poverty line (expressed as a % of the poverty line). Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "Relative poverty: 50% of median",
                    "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.",
                    "title": "Poverty gap index at 60% of the median income (after tax)",
                    "ySlugs": "poverty_gap_index_60_median_dhi_eq",
                    "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. It is calculated as the share of population in poverty multiplied by the average shortfall from the poverty line (expressed as a % of the poverty line). Income here is measured after taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "Relative poverty: 60% of median",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $1 a day (before tax)",
                    "ySlugs": "headcount_ratio_mi_eq_100",
                    "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. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$1 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $2 a day (before tax)",
                    "ySlugs": "headcount_ratio_mi_eq_200",
                    "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. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$2 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $5 a day (before tax)",
                    "ySlugs": "headcount_ratio_mi_eq_500",
                    "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. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$5 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $10 a day (before tax)",
                    "ySlugs": "headcount_ratio_mi_eq_1000",
                    "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. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$10 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $20 a day (before tax)",
                    "ySlugs": "headcount_ratio_mi_eq_2000",
                    "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. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$20 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $30 a day (before tax)",
                    "ySlugs": "headcount_ratio_mi_eq_3000",
                    "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. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$30 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $40 a day (before tax)",
                    "ySlugs": "headcount_ratio_mi_eq_4000",
                    "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. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$40 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $1 a day (before tax)",
                    "ySlugs": "headcount_mi_eq_100",
                    "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. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "$1 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $2 a day (before tax)",
                    "ySlugs": "headcount_mi_eq_200",
                    "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. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "$2 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $5 a day (before tax)",
                    "ySlugs": "headcount_mi_eq_500",
                    "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. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "$5 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $10 a day (before tax)",
                    "ySlugs": "headcount_mi_eq_1000",
                    "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. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "$10 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $20 a day (before tax)",
                    "ySlugs": "headcount_mi_eq_2000",
                    "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. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "$20 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $30 a day (before tax)",
                    "ySlugs": "headcount_mi_eq_3000",
                    "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. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "$30 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $40 a day (before tax)",
                    "ySlugs": "headcount_mi_eq_4000",
                    "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. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "$40 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices. The cost of closing the poverty gap does not take into account costs and inefficiencies from making the necessary transfers.",
                    "title": "Total shortfall from a poverty line of $1 a day (before tax)",
                    "ySlugs": "total_shortfall_mi_eq_100",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $1 a day. This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "$1 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices. The cost of closing the poverty gap does not take into account costs and inefficiencies from making the necessary transfers.",
                    "title": "Total shortfall from a poverty line of $2 a day (before tax)",
                    "ySlugs": "total_shortfall_mi_eq_200",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $2 a day. This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "$2 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices. The cost of closing the poverty gap does not take into account costs and inefficiencies from making the necessary transfers.",
                    "title": "Total shortfall from a poverty line of $5 a day (before tax)",
                    "ySlugs": "total_shortfall_mi_eq_500",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $5 a day. This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "$5 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices. The cost of closing the poverty gap does not take into account costs and inefficiencies from making the necessary transfers.",
                    "title": "Total shortfall from a poverty line of $10 a day (before tax)",
                    "ySlugs": "total_shortfall_mi_eq_1000",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $10 a day. This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "$10 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices. The cost of closing the poverty gap does not take into account costs and inefficiencies from making the necessary transfers.",
                    "title": "Total shortfall from a poverty line of $20 a day (before tax)",
                    "ySlugs": "total_shortfall_mi_eq_2000",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $20 a day. This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "$20 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices. The cost of closing the poverty gap does not take into account costs and inefficiencies from making the necessary transfers.",
                    "title": "Total shortfall from a poverty line of $30 a day (before tax)",
                    "ySlugs": "total_shortfall_mi_eq_3000",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $30 a day. This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
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                    "hasMapTab": "true",
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                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices. The cost of closing the poverty gap does not take into account costs and inefficiencies from making the necessary transfers.",
                    "title": "Total shortfall from a poverty line of $40 a day (before tax)",
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                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $40 a day. This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
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                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $1 a day (before tax)",
                    "ySlugs": "avg_shortfall_mi_eq_100_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $1 a day, averaged across the population in poverty. Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
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                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "$1 per day",
                    "Income measure Dropdown": "Before tax",
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                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $2 a day (before tax)",
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                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $2 a day, averaged across the population in poverty. Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
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                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
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                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $5 a day (before tax)",
                    "ySlugs": "avg_shortfall_mi_eq_500_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $5 a day, averaged across the population in poverty. Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
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                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "$5 per day",
                    "Income measure Dropdown": "Before tax",
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                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $10 a day (before tax)",
                    "ySlugs": "avg_shortfall_mi_eq_1000_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $10 a day, averaged across the population in poverty. Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "$10 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $20 a day (before tax)",
                    "ySlugs": "avg_shortfall_mi_eq_2000_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $20 a day, averaged across the population in poverty. Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "$20 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $30 a day (before tax)",
                    "ySlugs": "avg_shortfall_mi_eq_3000_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $30 a day, averaged across the population in poverty. Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "$30 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $40 a day (before tax)",
                    "ySlugs": "avg_shortfall_mi_eq_4000_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $40 a day, averaged across the population in poverty. Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "$40 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $1 a day (as a share of the poverty line) (before tax)",
                    "ySlugs": "income_gap_ratio_mi_eq_100",
                    "subtitle": "This is the average shortfall expressed as a share of the poverty line, sometimes called the 'income gap ratio'. It captures the depth of poverty of those living on less than $1 a day. Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "$1 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $2 a day (as a share of the poverty line) (before tax)",
                    "ySlugs": "income_gap_ratio_mi_eq_200",
                    "subtitle": "This is the average shortfall expressed as a share of the poverty line, sometimes called the 'income gap ratio'. It captures the depth of poverty of those living on less than $2 a day. Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "$2 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $5 a day (as a share of the poverty line) (before tax)",
                    "ySlugs": "income_gap_ratio_mi_eq_500",
                    "subtitle": "This is the average shortfall expressed as a share of the poverty line, sometimes called the 'income gap ratio'. It captures the depth of poverty of those living on less than $5 a day. Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "$5 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $10 a day (as a share of the poverty line) (before tax)",
                    "ySlugs": "income_gap_ratio_mi_eq_1000",
                    "subtitle": "This is the average shortfall expressed as a share of the poverty line, sometimes called the 'income gap ratio'. It captures the depth of poverty of those living on less than $10 a day. Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "$10 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $20 a day (as a share of the poverty line) (before tax)",
                    "ySlugs": "income_gap_ratio_mi_eq_2000",
                    "subtitle": "This is the average shortfall expressed as a share of the poverty line, sometimes called the 'income gap ratio'. It captures the depth of poverty of those living on less than $20 a day. Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "$20 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $30 a day (as a share of the poverty line) (before tax)",
                    "ySlugs": "income_gap_ratio_mi_eq_3000",
                    "subtitle": "This is the average shortfall expressed as a share of the poverty line, sometimes called the 'income gap ratio'. It captures the depth of poverty of those living on less than $30 a day. Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "$30 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $40 a day (as a share of the poverty line) (before tax)",
                    "ySlugs": "income_gap_ratio_mi_eq_4000",
                    "subtitle": "This is the average shortfall expressed as a share of the poverty line, sometimes called the 'income gap ratio'. It captures the depth of poverty of those living on less than $40 a day. Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
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                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
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                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Poverty gap index at $1 a day (before tax)",
                    "ySlugs": "poverty_gap_index_mi_eq_100",
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                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
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                    "Poverty line Dropdown": "$1 per day",
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                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Poverty gap index at $2 a day (before tax)",
                    "ySlugs": "poverty_gap_index_mi_eq_200",
                    "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. It is calculated as the share of population in poverty multiplied by the average shortfall from the poverty line (expressed as a % of the poverty line). Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
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                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
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                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Poverty gap index at $5 a day (before tax)",
                    "ySlugs": "poverty_gap_index_mi_eq_500",
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                    "yAxisMin": "0",
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                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
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                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Poverty gap index at $10 a day (before tax)",
                    "ySlugs": "poverty_gap_index_mi_eq_1000",
                    "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. It is calculated as the share of population in poverty multiplied by the average shortfall from the poverty line (expressed as a % of the poverty line). Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
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                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
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                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Poverty gap index at $20 a day (before tax)",
                    "ySlugs": "poverty_gap_index_mi_eq_2000",
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                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Poverty gap index at $30 a day (before tax)",
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                    "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. It is calculated as the share of population in poverty multiplied by the average shortfall from the poverty line (expressed as a % of the poverty line). Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
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                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Poverty gap index at $40 a day (before tax)",
                    "ySlugs": "poverty_gap_index_mi_eq_4000",
                    "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. It is calculated as the share of population in poverty multiplied by the average shortfall from the poverty line (expressed as a % of the poverty line). Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
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                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
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                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Share of population living below a range of poverty lines (before tax)",
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                    "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. Income has also 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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                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Number of people living below a range of poverty lines (before tax)",
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                    "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. Income has also 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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                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
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                    "selectedFacetStrategy": "entity",
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                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices. The cost of closing the poverty gap does not take into account costs and inefficiencies from making the necessary transfers.",
                    "title": "Total shortfall from a range of poverty lines (before tax)",
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                    "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. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
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                    "Indicator Dropdown": "Total shortfall from poverty line",
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                    "selectedFacetStrategy": "entity",
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                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Average shortfall from a range of poverty lines (before tax)",
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                    "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. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
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                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
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                    "selectedFacetStrategy": "entity",
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                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
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                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a range of poverty lines (as a share of the poverty line) (before tax)",
                    "ySlugs": "income_gap_ratio_mi_eq_100 income_gap_ratio_mi_eq_200 income_gap_ratio_mi_eq_500 income_gap_ratio_mi_eq_1000 income_gap_ratio_mi_eq_2000 income_gap_ratio_mi_eq_3000 income_gap_ratio_mi_eq_4000",
                    "subtitle": "Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "Multiple lines",
                    "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": "Poverty gap index at a range of poverty lines (before tax)",
                    "ySlugs": "poverty_gap_index_mi_eq_100 poverty_gap_index_mi_eq_200 poverty_gap_index_mi_eq_500 poverty_gap_index_mi_eq_1000 poverty_gap_index_mi_eq_2000 poverty_gap_index_mi_eq_3000 poverty_gap_index_mi_eq_4000",
                    "subtitle": "Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "Multiple lines",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "title": "Relative poverty: Share of people below 40% of the median income (before tax)",
                    "ySlugs": "headcount_ratio_40_median_mi_eq",
                    "subtitle": "Relative poverty is measured in terms of a poverty line that rises and falls over time with average incomes \u2013 in this case set at 40% of the median income. Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "Relative poverty: 40% of median",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "title": "Relative poverty: Share of people below 50% of the median income (before tax)",
                    "ySlugs": "headcount_ratio_50_median_mi_eq",
                    "subtitle": "Relative poverty is measured in terms of a poverty line that rises and falls over time with average incomes \u2013 in this case set at 50% of the median income. Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "Relative poverty: 50% of median",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "title": "Relative poverty: Share of people below 60% of the median income (before tax)",
                    "ySlugs": "headcount_ratio_60_median_mi_eq",
                    "subtitle": "Relative poverty is measured in terms of a poverty line that rises and falls over time with average incomes \u2013 in this case set at 60% of the median income. Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "Relative poverty: 60% of median",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "title": "Relative poverty: Number of people below 40% of the median income (before tax)",
                    "ySlugs": "headcount_40_median_mi_eq",
                    "subtitle": "Relative poverty is measured in terms of a poverty line that rises and falls over time with average incomes \u2013 in this case set at 40% of the median income. Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "Relative poverty: 40% of median",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "title": "Relative poverty: Number of people below 50% of the median income (before tax)",
                    "ySlugs": "headcount_50_median_mi_eq",
                    "subtitle": "Relative poverty is measured in terms of a poverty line that rises and falls over time with average incomes \u2013 in this case set at 50% of the median income. Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "Relative poverty: 50% of median",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "title": "Relative poverty: Number of people below 60% of the median income (before tax)",
                    "ySlugs": "headcount_60_median_mi_eq",
                    "subtitle": "Relative poverty is measured in terms of a poverty line that rises and falls over time with average incomes \u2013 in this case set at 60% of the median income. Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "Relative poverty: 60% of median",
                    "Income measure Dropdown": "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": "Total shortfall from a poverty line of 40% of the median income (before tax)",
                    "ySlugs": "total_shortfall_40_median_mi_eq",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to 40% of the median income. Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "Relative poverty: 40% of median",
                    "Income measure Dropdown": "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": "Total shortfall from a poverty line of 50% of the median income (before tax)",
                    "ySlugs": "total_shortfall_50_median_mi_eq",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to 50% of the median income. Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "Relative poverty: 50% of median",
                    "Income measure Dropdown": "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": "Total shortfall from a poverty line of 60% of the median income (before tax)",
                    "ySlugs": "total_shortfall_60_median_mi_eq",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to 60% of the median income. Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "Relative poverty: 60% of median",
                    "Income measure Dropdown": "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": "Average shortfall from a poverty line of 40% of the median income (before tax)",
                    "ySlugs": "avg_shortfall_40_median_mi_eq_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to 40% of the median income, averaged across the population in poverty. Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "Relative poverty: 40% of median",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of 50% of the median income (before tax)",
                    "ySlugs": "avg_shortfall_50_median_mi_eq_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to 50% of the median income, averaged across the population in poverty. Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "Relative poverty: 50% of median",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of 60% of the median income (before tax)",
                    "ySlugs": "avg_shortfall_60_median_mi_eq_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to 60% of the median income, averaged across the population in poverty. Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "Relative poverty: 60% of median",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of 40% of the median income (as a share of the poverty line) (before tax)",
                    "ySlugs": "income_gap_ratio_40_median_mi_eq",
                    "subtitle": "\"This is the average shortfall expressed as a share of the poverty line, sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than 40% of the median income. Income here is measured before taxes and benefits. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\"",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "Relative poverty: 40% of median",
                    "Income measure Dropdown": "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": "Average shortfall from a poverty line of 50% of the median income (as a share of the poverty line) (before tax)",
                    "ySlugs": "income_gap_ratio_50_median_mi_eq",
                    "subtitle": "\"This is the average shortfall expressed as a share of the poverty line, sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than 50% of the median income. Income here is measured before taxes and benefits. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\"",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "Relative poverty: 50% of median",
                    "Income measure Dropdown": "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": "Average shortfall from a poverty line of 60% of the median income (as a share of the poverty line) (before tax)",
                    "ySlugs": "income_gap_ratio_60_median_mi_eq",
                    "subtitle": "\"This is the average shortfall expressed as a share of the poverty line, sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than 60% of the median income. Income here is measured before taxes and benefits. Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\"",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "Relative poverty: 60% of median",
                    "Income measure Dropdown": "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": "Poverty gap index at 40% of the median income (before tax)",
                    "ySlugs": "poverty_gap_index_40_median_mi_eq",
                    "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. It is calculated as the share of population in poverty multiplied by the average shortfall from the poverty line (expressed as a % of the poverty line). Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "Relative poverty: 40% of median",
                    "Income measure Dropdown": "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": "Poverty gap index at 50% of the median income (before tax)",
                    "ySlugs": "poverty_gap_index_50_median_mi_eq",
                    "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. It is calculated as the share of population in poverty multiplied by the average shortfall from the poverty line (expressed as a % of the poverty line). Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "Relative poverty: 50% of median",
                    "Income measure Dropdown": "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": "Poverty gap index at 60% of the median income (before tax)",
                    "ySlugs": "poverty_gap_index_60_median_mi_eq",
                    "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. It is calculated as the share of population in poverty multiplied by the average shortfall from the poverty line (expressed as a % of the poverty line). Income here is measured before taxes and benefits. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "Relative poverty: 60% of median",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $1 a day (After vs. before tax)",
                    "ySlugs": "headcount_ratio_mi_eq_100 headcount_ratio_dhi_eq_100",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$1 per day",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $2 a day (After vs. before tax)",
                    "ySlugs": "headcount_ratio_mi_eq_200 headcount_ratio_dhi_eq_200",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$2 per day",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $5 a day (After vs. before tax)",
                    "ySlugs": "headcount_ratio_mi_eq_500 headcount_ratio_dhi_eq_500",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$5 per day",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $10 a day (After vs. before tax)",
                    "ySlugs": "headcount_ratio_mi_eq_1000 headcount_ratio_dhi_eq_1000",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$10 per day",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $20 a day (After vs. before tax)",
                    "ySlugs": "headcount_ratio_mi_eq_2000 headcount_ratio_dhi_eq_2000",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$20 per day",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $30 a day (After vs. before tax)",
                    "ySlugs": "headcount_ratio_mi_eq_3000 headcount_ratio_dhi_eq_3000",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$30 per day",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $40 a day (After vs. before tax)",
                    "ySlugs": "headcount_ratio_mi_eq_4000 headcount_ratio_dhi_eq_4000",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$40 per day",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $1 a day (After vs. before tax)",
                    "ySlugs": "headcount_mi_eq_100 headcount_dhi_eq_100",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "$1 per day",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $2 a day (After vs. before tax)",
                    "ySlugs": "headcount_mi_eq_200 headcount_dhi_eq_200",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
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                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
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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.",
                    "title": "Poverty gap index at $2 a day (After vs. before tax)",
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                },
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                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
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                },
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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.",
                    "title": "Poverty gap index at $10 a day (After vs. before tax)",
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                },
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                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Poverty gap index at $20 a day (After vs. before tax)",
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                    "Indicator Dropdown": "Poverty gap index",
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                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Poverty gap index at $30 a day (After vs. before tax)",
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                    "mapTargetTime": "0",
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                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Poverty gap index at $40 a day (After vs. before tax)",
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                    "mapTargetTime": "0",
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                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "title": "Relative poverty: Share of people below 40% of the median income (After vs. before tax)",
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                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "title": "Relative poverty: Share of people below 50% of the median income (After vs. before tax)",
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                    "subtitle": "Relative poverty is measured in terms of a poverty line that rises and falls over time with average incomes \u2013 in this case set at 50% of the median income. Income has also 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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                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "title": "Relative poverty: Share of people below 60% of the median income (After vs. before tax)",
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                    "mapTargetTime": "0",
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                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "title": "Relative poverty: Number of people below 40% of the median income (After vs. before tax)",
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                    "subtitle": "Relative poverty is measured in terms of a poverty line that rises and falls over time with average incomes \u2013 in this case set at 40% of the median income. Income has also 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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                    "mapTargetTime": "0",
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                    "Poverty line Dropdown": "Relative poverty: 40% of median",
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                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "title": "Relative poverty: Number of people below 50% of the median income (After vs. before tax)",
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                    "subtitle": "Relative poverty is measured in terms of a poverty line that rises and falls over time with average incomes \u2013 in this case set at 50% of the median income. Income has also 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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                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "Relative poverty: 50% of median",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "chart",
                    "title": "Relative poverty: Number of people below 60% of the median income (After vs. before tax)",
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                    "subtitle": "Relative poverty is measured in terms of a poverty line that rises and falls over time with average incomes \u2013 in this case set at 60% of the median income. Income has also been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "Relative poverty: 60% of median",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. 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.",
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                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "Relative poverty: 40% of median",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. 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": "Total shortfall from a poverty line of 50% of the median income (After vs. before tax)",
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                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to 50% of the median income. Income has also 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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                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
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                    "Income measure Dropdown": "After tax vs. 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": "Total shortfall from a poverty line of 60% of the median income (After vs. before tax)",
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                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to 60% of the median income. Income has also 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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                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "Relative poverty: 60% of median",
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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.",
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                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
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                    "Poverty line Dropdown": "Relative poverty: 40% of median",
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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.",
                    "title": "Average shortfall from a poverty line of 50% of the median income (After vs. before tax)",
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                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
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                    "Income measure Dropdown": "After tax vs. 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": "Average shortfall from a poverty line of 60% of the median income (After vs. before tax)",
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                    "tableSlug": "lis_vars",
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                    "Poverty line Dropdown": "Relative poverty: 60% of median",
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                    "Income measure Dropdown": "After tax vs. 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": "Average shortfall from a poverty line of 40% of the median income (as a share of the poverty line) (After vs. before tax)",
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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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                },
                {
                    "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": "Average shortfall from a poverty line of 60% of the median income (as a share of the poverty line) (After vs. 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.",
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                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "Relative poverty: 40% of median",
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                    "Income measure Dropdown": "After tax vs. 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": "Poverty gap index at 50% of the median income (After vs. before tax)",
                    "ySlugs": "poverty_gap_index_50_median_mi_eq poverty_gap_index_50_median_dhi_eq",
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                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "Relative poverty: 50% of median",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. 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": "Poverty gap index at 60% of the median income (After vs. before tax)",
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                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
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                    "Indicator Dropdown": "Poverty gap index",
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                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "true"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $1 a day (after tax)",
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                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
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                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $2 a day (after tax)",
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                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$2 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $5 a day (after tax)",
                    "ySlugs": "headcount_ratio_dhi_pc_500",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$5 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $10 a day (after tax)",
                    "ySlugs": "headcount_ratio_dhi_pc_1000",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$10 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $20 a day (after tax)",
                    "ySlugs": "headcount_ratio_dhi_pc_2000",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$20 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $30 a day (after tax)",
                    "ySlugs": "headcount_ratio_dhi_pc_3000",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "defaultView": "true",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$30 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $40 a day (after tax)",
                    "ySlugs": "headcount_ratio_dhi_pc_4000",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$40 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $1 a day (after tax)",
                    "ySlugs": "headcount_dhi_pc_100",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "$1 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $2 a day (after tax)",
                    "ySlugs": "headcount_dhi_pc_200",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "$2 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $5 a day (after tax)",
                    "ySlugs": "headcount_dhi_pc_500",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "$5 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $10 a day (after tax)",
                    "ySlugs": "headcount_dhi_pc_1000",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "$10 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $20 a day (after tax)",
                    "ySlugs": "headcount_dhi_pc_2000",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "$20 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $30 a day (after tax)",
                    "ySlugs": "headcount_dhi_pc_3000",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "$30 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $40 a day (after tax)",
                    "ySlugs": "headcount_dhi_pc_4000",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "$40 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices. The cost of closing the poverty gap does not take into account costs and inefficiencies from making the necessary transfers.",
                    "title": "Total shortfall from a poverty line of $1 a day (after tax)",
                    "ySlugs": "total_shortfall_dhi_pc_100",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $1 a day. This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "$1 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices. The cost of closing the poverty gap does not take into account costs and inefficiencies from making the necessary transfers.",
                    "title": "Total shortfall from a poverty line of $2 a day (after tax)",
                    "ySlugs": "total_shortfall_dhi_pc_200",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $2 a day. This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "$2 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices. The cost of closing the poverty gap does not take into account costs and inefficiencies from making the necessary transfers.",
                    "title": "Total shortfall from a poverty line of $5 a day (after tax)",
                    "ySlugs": "total_shortfall_dhi_pc_500",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $5 a day. This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "$5 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices. The cost of closing the poverty gap does not take into account costs and inefficiencies from making the necessary transfers.",
                    "title": "Total shortfall from a poverty line of $10 a day (after tax)",
                    "ySlugs": "total_shortfall_dhi_pc_1000",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $10 a day. This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "$10 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices. The cost of closing the poverty gap does not take into account costs and inefficiencies from making the necessary transfers.",
                    "title": "Total shortfall from a poverty line of $20 a day (after tax)",
                    "ySlugs": "total_shortfall_dhi_pc_2000",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $20 a day. This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "$20 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices. The cost of closing the poverty gap does not take into account costs and inefficiencies from making the necessary transfers.",
                    "title": "Total shortfall from a poverty line of $30 a day (after tax)",
                    "ySlugs": "total_shortfall_dhi_pc_3000",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $30 a day. This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "$30 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices. The cost of closing the poverty gap does not take into account costs and inefficiencies from making the necessary transfers.",
                    "title": "Total shortfall from a poverty line of $40 a day (after tax)",
                    "ySlugs": "total_shortfall_dhi_pc_4000",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $40 a day. This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
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                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "$40 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $1 a day (after tax)",
                    "ySlugs": "avg_shortfall_dhi_pc_100_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $1 a day, averaged across the population in poverty. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "$1 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $2 a day (after tax)",
                    "ySlugs": "avg_shortfall_dhi_pc_200_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $2 a day, averaged across the population in poverty. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "$2 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $5 a day (after tax)",
                    "ySlugs": "avg_shortfall_dhi_pc_500_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $5 a day, averaged across the population in poverty. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "$5 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $10 a day (after tax)",
                    "ySlugs": "avg_shortfall_dhi_pc_1000_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $10 a day, averaged across the population in poverty. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "$10 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $20 a day (after tax)",
                    "ySlugs": "avg_shortfall_dhi_pc_2000_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $20 a day, averaged across the population in poverty. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "$20 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $30 a day (after tax)",
                    "ySlugs": "avg_shortfall_dhi_pc_3000_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $30 a day, averaged across the population in poverty. Income here is measured after taxes and benefits. ",
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                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "$30 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $40 a day (after tax)",
                    "ySlugs": "avg_shortfall_dhi_pc_4000_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $40 a day, averaged across the population in poverty. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "$40 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $1 a day (as a share of the poverty line) (after tax)",
                    "ySlugs": "income_gap_ratio_dhi_pc_100",
                    "subtitle": "This is the average shortfall expressed as a share of the poverty line, sometimes called the 'income gap ratio'. It captures the depth of poverty of those living on less than $1 a day. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "$1 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $2 a day (as a share of the poverty line) (after tax)",
                    "ySlugs": "income_gap_ratio_dhi_pc_200",
                    "subtitle": "This is the average shortfall expressed as a share of the poverty line, sometimes called the 'income gap ratio'. It captures the depth of poverty of those living on less than $2 a day. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "$2 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $5 a day (as a share of the poverty line) (after tax)",
                    "ySlugs": "income_gap_ratio_dhi_pc_500",
                    "subtitle": "This is the average shortfall expressed as a share of the poverty line, sometimes called the 'income gap ratio'. It captures the depth of poverty of those living on less than $5 a day. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "$5 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $10 a day (as a share of the poverty line) (after tax)",
                    "ySlugs": "income_gap_ratio_dhi_pc_1000",
                    "subtitle": "This is the average shortfall expressed as a share of the poverty line, sometimes called the 'income gap ratio'. It captures the depth of poverty of those living on less than $10 a day. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "$10 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $20 a day (as a share of the poverty line) (after tax)",
                    "ySlugs": "income_gap_ratio_dhi_pc_2000",
                    "subtitle": "This is the average shortfall expressed as a share of the poverty line, sometimes called the 'income gap ratio'. It captures the depth of poverty of those living on less than $20 a day. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "$20 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $30 a day (as a share of the poverty line) (after tax)",
                    "ySlugs": "income_gap_ratio_dhi_pc_3000",
                    "subtitle": "This is the average shortfall expressed as a share of the poverty line, sometimes called the 'income gap ratio'. It captures the depth of poverty of those living on less than $30 a day. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "$30 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $40 a day (as a share of the poverty line) (after tax)",
                    "ySlugs": "income_gap_ratio_dhi_pc_4000",
                    "subtitle": "This is the average shortfall expressed as a share of the poverty line, sometimes called the 'income gap ratio'. It captures the depth of poverty of those living on less than $40 a day. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "$40 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Poverty gap index at $1 a day (after tax)",
                    "ySlugs": "poverty_gap_index_dhi_pc_100",
                    "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. It is calculated as the share of population in poverty multiplied by the average shortfall from the poverty line (expressed as a % of the poverty line). Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "$1 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Poverty gap index at $2 a day (after tax)",
                    "ySlugs": "poverty_gap_index_dhi_pc_200",
                    "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. It is calculated as the share of population in poverty multiplied by the average shortfall from the poverty line (expressed as a % of the poverty line). Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "$2 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Poverty gap index at $5 a day (after tax)",
                    "ySlugs": "poverty_gap_index_dhi_pc_500",
                    "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. It is calculated as the share of population in poverty multiplied by the average shortfall from the poverty line (expressed as a % of the poverty line). Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "$5 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Poverty gap index at $10 a day (after tax)",
                    "ySlugs": "poverty_gap_index_dhi_pc_1000",
                    "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. It is calculated as the share of population in poverty multiplied by the average shortfall from the poverty line (expressed as a % of the poverty line). Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "$10 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Poverty gap index at $20 a day (after tax)",
                    "ySlugs": "poverty_gap_index_dhi_pc_2000",
                    "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. It is calculated as the share of population in poverty multiplied by the average shortfall from the poverty line (expressed as a % of the poverty line). Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "$20 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Poverty gap index at $30 a day (after tax)",
                    "ySlugs": "poverty_gap_index_dhi_pc_3000",
                    "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. It is calculated as the share of population in poverty multiplied by the average shortfall from the poverty line (expressed as a % of the poverty line). Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "$30 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Poverty gap index at $40 a day (after tax)",
                    "ySlugs": "poverty_gap_index_dhi_pc_4000",
                    "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. It is calculated as the share of population in poverty multiplied by the average shortfall from the poverty line (expressed as a % of the poverty line). Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "$40 per day",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Share of population living below a range of poverty lines (after tax)",
                    "ySlugs": "headcount_ratio_dhi_pc_100 headcount_ratio_dhi_pc_200 headcount_ratio_dhi_pc_500 headcount_ratio_dhi_pc_1000 headcount_ratio_dhi_pc_2000 headcount_ratio_dhi_pc_3000 headcount_ratio_dhi_pc_4000",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "Multiple lines",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Number of people living below a range of poverty lines (after tax)",
                    "ySlugs": "headcount_dhi_pc_100 headcount_dhi_pc_200 headcount_dhi_pc_500 headcount_dhi_pc_1000 headcount_dhi_pc_2000 headcount_dhi_pc_3000 headcount_dhi_pc_4000",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "Multiple lines",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices. The cost of closing the poverty gap does not take into account costs and inefficiencies from making the necessary transfers.",
                    "title": "Total shortfall from a range of poverty lines (after tax)",
                    "ySlugs": "total_shortfall_dhi_pc_100 total_shortfall_dhi_pc_200 total_shortfall_dhi_pc_500 total_shortfall_dhi_pc_1000 total_shortfall_dhi_pc_2000 total_shortfall_dhi_pc_3000 total_shortfall_dhi_pc_4000",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "Multiple lines",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Average shortfall from a range of poverty lines (after tax)",
                    "ySlugs": "avg_shortfall_dhi_pc_100_day avg_shortfall_dhi_pc_200_day avg_shortfall_dhi_pc_500_day avg_shortfall_dhi_pc_1000_day avg_shortfall_dhi_pc_2000_day avg_shortfall_dhi_pc_3000_day avg_shortfall_dhi_pc_4000_day",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "Multiple lines",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a range of poverty lines (as a share of the poverty line) (after tax)",
                    "ySlugs": "income_gap_ratio_dhi_pc_100 income_gap_ratio_dhi_pc_200 income_gap_ratio_dhi_pc_500 income_gap_ratio_dhi_pc_1000 income_gap_ratio_dhi_pc_2000 income_gap_ratio_dhi_pc_3000 income_gap_ratio_dhi_pc_4000",
                    "subtitle": "Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "Multiple lines",
                    "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": "Poverty gap index at a range of poverty lines (after tax)",
                    "ySlugs": "poverty_gap_index_dhi_pc_100 poverty_gap_index_dhi_pc_200 poverty_gap_index_dhi_pc_500 poverty_gap_index_dhi_pc_1000 poverty_gap_index_dhi_pc_2000 poverty_gap_index_dhi_pc_3000 poverty_gap_index_dhi_pc_4000",
                    "subtitle": "Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "Multiple lines",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "title": "Relative poverty: Share of people below 40% of the median income (after tax)",
                    "ySlugs": "headcount_ratio_40_median_dhi_pc",
                    "subtitle": "Relative poverty is measured in terms of a poverty line that rises and falls over time with average incomes \u2013 in this case set at 40% of the median income. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "Relative poverty: 40% of median",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "title": "Relative poverty: Share of people below 50% of the median income (after tax)",
                    "ySlugs": "headcount_ratio_50_median_dhi_pc",
                    "subtitle": "Relative poverty is measured in terms of a poverty line that rises and falls over time with average incomes \u2013 in this case set at 50% of the median income. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "Relative poverty: 50% of median",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "title": "Relative poverty: Share of people below 60% of the median income (after tax)",
                    "ySlugs": "headcount_ratio_60_median_dhi_pc",
                    "subtitle": "Relative poverty is measured in terms of a poverty line that rises and falls over time with average incomes \u2013 in this case set at 60% of the median income. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "Relative poverty: 60% of median",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "title": "Relative poverty: Number of people below 40% of the median income (after tax)",
                    "ySlugs": "headcount_40_median_dhi_pc",
                    "subtitle": "Relative poverty is measured in terms of a poverty line that rises and falls over time with average incomes \u2013 in this case set at 40% of the median income. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "Relative poverty: 40% of median",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "title": "Relative poverty: Number of people below 50% of the median income (after tax)",
                    "ySlugs": "headcount_50_median_dhi_pc",
                    "subtitle": "Relative poverty is measured in terms of a poverty line that rises and falls over time with average incomes \u2013 in this case set at 50% of the median income. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "Relative poverty: 50% of median",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "title": "Relative poverty: Number of people below 60% of the median income (after tax)",
                    "ySlugs": "headcount_60_median_dhi_pc",
                    "subtitle": "Relative poverty is measured in terms of a poverty line that rises and falls over time with average incomes \u2013 in this case set at 60% of the median income. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "Relative poverty: 60% of median",
                    "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": "Total shortfall from a poverty line of 40% of the median income (after tax)",
                    "ySlugs": "total_shortfall_40_median_dhi_pc",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to 40% of the median income. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "Relative poverty: 40% of median",
                    "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": "Total shortfall from a poverty line of 50% of the median income (after tax)",
                    "ySlugs": "total_shortfall_50_median_dhi_pc",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to 50% of the median income. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "Relative poverty: 50% of median",
                    "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": "Total shortfall from a poverty line of 60% of the median income (after tax)",
                    "ySlugs": "total_shortfall_60_median_dhi_pc",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to 60% of the median income. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "Relative poverty: 60% of median",
                    "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": "Average shortfall from a poverty line of 40% of the median income (after tax)",
                    "ySlugs": "avg_shortfall_40_median_dhi_pc_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to 40% of the median income, averaged across the population in poverty. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "Relative poverty: 40% of median",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of 50% of the median income (after tax)",
                    "ySlugs": "avg_shortfall_50_median_dhi_pc_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to 50% of the median income, averaged across the population in poverty. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "Relative poverty: 50% of median",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of 60% of the median income (after tax)",
                    "ySlugs": "avg_shortfall_60_median_dhi_pc_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to 60% of the median income, averaged across the population in poverty. Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "Relative poverty: 60% of median",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of 40% of the median income (as a share of the poverty line) (after tax)",
                    "ySlugs": "income_gap_ratio_40_median_dhi_pc",
                    "subtitle": "\"This is the average shortfall expressed as a share of the poverty line, sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than 40% of the median income. Income here is measured after taxes and benefits. \"",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "Relative poverty: 40% of median",
                    "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": "Average shortfall from a poverty line of 50% of the median income (as a share of the poverty line) (after tax)",
                    "ySlugs": "income_gap_ratio_50_median_dhi_pc",
                    "subtitle": "\"This is the average shortfall expressed as a share of the poverty line, sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than 50% of the median income. Income here is measured after taxes and benefits. \"",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "Relative poverty: 50% of median",
                    "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": "Average shortfall from a poverty line of 60% of the median income (as a share of the poverty line) (after tax)",
                    "ySlugs": "income_gap_ratio_60_median_dhi_pc",
                    "subtitle": "\"This is the average shortfall expressed as a share of the poverty line, sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than 60% of the median income. Income here is measured after taxes and benefits. \"",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "Relative poverty: 60% of median",
                    "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": "Poverty gap index at 40% of the median income (after tax)",
                    "ySlugs": "poverty_gap_index_40_median_dhi_pc",
                    "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. It is calculated as the share of population in poverty multiplied by the average shortfall from the poverty line (expressed as a % of the poverty line). Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "Relative poverty: 40% of median",
                    "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": "Poverty gap index at 50% of the median income (after tax)",
                    "ySlugs": "poverty_gap_index_50_median_dhi_pc",
                    "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. It is calculated as the share of population in poverty multiplied by the average shortfall from the poverty line (expressed as a % of the poverty line). Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "Relative poverty: 50% of median",
                    "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": "Poverty gap index at 60% of the median income (after tax)",
                    "ySlugs": "poverty_gap_index_60_median_dhi_pc",
                    "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. It is calculated as the share of population in poverty multiplied by the average shortfall from the poverty line (expressed as a % of the poverty line). Income here is measured after taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "Relative poverty: 60% of median",
                    "Income measure Dropdown": "After tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $1 a day (before tax)",
                    "ySlugs": "headcount_ratio_mi_pc_100",
                    "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",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$1 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $2 a day (before tax)",
                    "ySlugs": "headcount_ratio_mi_pc_200",
                    "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",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$2 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $5 a day (before tax)",
                    "ySlugs": "headcount_ratio_mi_pc_500",
                    "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",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$5 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $10 a day (before tax)",
                    "ySlugs": "headcount_ratio_mi_pc_1000",
                    "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",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$10 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $20 a day (before tax)",
                    "ySlugs": "headcount_ratio_mi_pc_2000",
                    "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",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$20 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $30 a day (before tax)",
                    "ySlugs": "headcount_ratio_mi_pc_3000",
                    "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",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$30 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $40 a day (before tax)",
                    "ySlugs": "headcount_ratio_mi_pc_4000",
                    "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",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$40 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $1 a day (before tax)",
                    "ySlugs": "headcount_mi_pc_100",
                    "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",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "$1 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $2 a day (before tax)",
                    "ySlugs": "headcount_mi_pc_200",
                    "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",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "$2 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $5 a day (before tax)",
                    "ySlugs": "headcount_mi_pc_500",
                    "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",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "$5 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $10 a day (before tax)",
                    "ySlugs": "headcount_mi_pc_1000",
                    "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",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "$10 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $20 a day (before tax)",
                    "ySlugs": "headcount_mi_pc_2000",
                    "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",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "$20 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $30 a day (before tax)",
                    "ySlugs": "headcount_mi_pc_3000",
                    "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",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "$30 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $40 a day (before tax)",
                    "ySlugs": "headcount_mi_pc_4000",
                    "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",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "$40 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices. The cost of closing the poverty gap does not take into account costs and inefficiencies from making the necessary transfers.",
                    "title": "Total shortfall from a poverty line of $1 a day (before tax)",
                    "ySlugs": "total_shortfall_mi_pc_100",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $1 a day. 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",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "$1 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices. The cost of closing the poverty gap does not take into account costs and inefficiencies from making the necessary transfers.",
                    "title": "Total shortfall from a poverty line of $2 a day (before tax)",
                    "ySlugs": "total_shortfall_mi_pc_200",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $2 a day. 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",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "$2 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices. The cost of closing the poverty gap does not take into account costs and inefficiencies from making the necessary transfers.",
                    "title": "Total shortfall from a poverty line of $5 a day (before tax)",
                    "ySlugs": "total_shortfall_mi_pc_500",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $5 a day. 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",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "$5 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices. The cost of closing the poverty gap does not take into account costs and inefficiencies from making the necessary transfers.",
                    "title": "Total shortfall from a poverty line of $10 a day (before tax)",
                    "ySlugs": "total_shortfall_mi_pc_1000",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $10 a day. 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",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "$10 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices. The cost of closing the poverty gap does not take into account costs and inefficiencies from making the necessary transfers.",
                    "title": "Total shortfall from a poverty line of $20 a day (before tax)",
                    "ySlugs": "total_shortfall_mi_pc_2000",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $20 a day. 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",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "$20 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices. The cost of closing the poverty gap does not take into account costs and inefficiencies from making the necessary transfers.",
                    "title": "Total shortfall from a poverty line of $30 a day (before tax)",
                    "ySlugs": "total_shortfall_mi_pc_3000",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $30 a day. 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",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "$30 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is expressed in international-$ at 2017 prices. The cost of closing the poverty gap does not take into account costs and inefficiencies from making the necessary transfers.",
                    "title": "Total shortfall from a poverty line of $40 a day (before tax)",
                    "ySlugs": "total_shortfall_mi_pc_4000",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $40 a day. 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",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "$40 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $1 a day (before tax)",
                    "ySlugs": "avg_shortfall_mi_pc_100_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $1 a day, averaged across the population in poverty. Income here is measured before taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "$1 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $2 a day (before tax)",
                    "ySlugs": "avg_shortfall_mi_pc_200_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $2 a day, averaged across the population in poverty. Income here is measured before taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "$2 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $5 a day (before tax)",
                    "ySlugs": "avg_shortfall_mi_pc_500_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $5 a day, averaged across the population in poverty. Income here is measured before taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "$5 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $10 a day (before tax)",
                    "ySlugs": "avg_shortfall_mi_pc_1000_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $10 a day, averaged across the population in poverty. Income here is measured before taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "$10 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $20 a day (before tax)",
                    "ySlugs": "avg_shortfall_mi_pc_2000_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $20 a day, averaged across the population in poverty. Income here is measured before taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "$20 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $30 a day (before tax)",
                    "ySlugs": "avg_shortfall_mi_pc_3000_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $30 a day, averaged across the population in poverty. Income here is measured before taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "$30 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $40 a day (before tax)",
                    "ySlugs": "avg_shortfall_mi_pc_4000_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $40 a day, averaged across the population in poverty. Income here is measured before taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "$40 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $1 a day (as a share of the poverty line) (before tax)",
                    "ySlugs": "income_gap_ratio_mi_pc_100",
                    "subtitle": "This is the average shortfall expressed as a share of the poverty line, sometimes called the 'income gap ratio'. It captures the depth of poverty of those living on less than $1 a day. Income here is measured before taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "$1 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $2 a day (as a share of the poverty line) (before tax)",
                    "ySlugs": "income_gap_ratio_mi_pc_200",
                    "subtitle": "This is the average shortfall expressed as a share of the poverty line, sometimes called the 'income gap ratio'. It captures the depth of poverty of those living on less than $2 a day. Income here is measured before taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "$2 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $5 a day (as a share of the poverty line) (before tax)",
                    "ySlugs": "income_gap_ratio_mi_pc_500",
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                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
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                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
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                    "subtitle": "This is the average shortfall expressed as a share of the poverty line, sometimes called the 'income gap ratio'. It captures the depth of poverty of those living on less than $10 a day. Income here is measured before taxes and benefits. ",
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                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
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                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $20 a day (as a share of the poverty line) (before tax)",
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                    "subtitle": "This is the average shortfall expressed as a share of the poverty line, sometimes called the 'income gap ratio'. It captures the depth of poverty of those living on less than $20 a day. Income here is measured before taxes and benefits. ",
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                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
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                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $30 a day (as a share of the poverty line) (before tax)",
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                    "subtitle": "This is the average shortfall expressed as a share of the poverty line, sometimes called the 'income gap ratio'. It captures the depth of poverty of those living on less than $30 a day. Income here is measured before taxes and benefits. ",
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                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
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                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $40 a day (as a share of the poverty line) (before tax)",
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                    "subtitle": "This is the average shortfall expressed as a share of the poverty line, sometimes called the 'income gap ratio'. It captures the depth of poverty of those living on less than $40 a day. Income here is measured before taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
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                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Poverty gap index at $1 a day (before tax)",
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                    "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. It is calculated as the share of population in poverty multiplied by the average shortfall from the poverty line (expressed as a % of the poverty line). Income here is measured before taxes and benefits. ",
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                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "$1 per day",
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                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Poverty gap index at $2 a day (before tax)",
                    "ySlugs": "poverty_gap_index_mi_pc_200",
                    "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. It is calculated as the share of population in poverty multiplied by the average shortfall from the poverty line (expressed as a % of the poverty line). Income here is measured before taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "$2 per day",
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                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Poverty gap index at $5 a day (before tax)",
                    "ySlugs": "poverty_gap_index_mi_pc_500",
                    "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. It is calculated as the share of population in poverty multiplied by the average shortfall from the poverty line (expressed as a % of the poverty line). Income here is measured before taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "$5 per day",
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                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Poverty gap index at $10 a day (before tax)",
                    "ySlugs": "poverty_gap_index_mi_pc_1000",
                    "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. It is calculated as the share of population in poverty multiplied by the average shortfall from the poverty line (expressed as a % of the poverty line). Income here is measured before taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "$10 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Poverty gap index at $20 a day (before tax)",
                    "ySlugs": "poverty_gap_index_mi_pc_2000",
                    "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. It is calculated as the share of population in poverty multiplied by the average shortfall from the poverty line (expressed as a % of the poverty line). Income here is measured before taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "$20 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Poverty gap index at $30 a day (before tax)",
                    "ySlugs": "poverty_gap_index_mi_pc_3000",
                    "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. It is calculated as the share of population in poverty multiplied by the average shortfall from the poverty line (expressed as a % of the poverty line). Income here is measured before taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "$30 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Poverty gap index at $40 a day (before tax)",
                    "ySlugs": "poverty_gap_index_mi_pc_4000",
                    "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. It is calculated as the share of population in poverty multiplied by the average shortfall from the poverty line (expressed as a % of the poverty line). Income here is measured before taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "$40 per day",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Share of population living below a range of poverty lines (before tax)",
                    "ySlugs": "headcount_ratio_mi_pc_100 headcount_ratio_mi_pc_200 headcount_ratio_mi_pc_500 headcount_ratio_mi_pc_1000 headcount_ratio_mi_pc_2000 headcount_ratio_mi_pc_3000 headcount_ratio_mi_pc_4000",
                    "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": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "Multiple lines",
                    "selectedFacetStrategy": "entity",
                    "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": "Number of people living below a range of poverty lines (before tax)",
                    "ySlugs": "headcount_mi_pc_100 headcount_mi_pc_200 headcount_mi_pc_500 headcount_mi_pc_1000 headcount_mi_pc_2000 headcount_mi_pc_3000 headcount_mi_pc_4000",
                    "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": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "Multiple lines",
                    "selectedFacetStrategy": "entity",
                    "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. The cost of closing the poverty gap does not take into account costs and inefficiencies from making the necessary transfers.",
                    "title": "Total shortfall from a range of poverty lines (before tax)",
                    "ySlugs": "total_shortfall_mi_pc_100 total_shortfall_mi_pc_200 total_shortfall_mi_pc_500 total_shortfall_mi_pc_1000 total_shortfall_mi_pc_2000 total_shortfall_mi_pc_3000 total_shortfall_mi_pc_4000",
                    "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": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "Multiple lines",
                    "selectedFacetStrategy": "entity",
                    "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": "Average shortfall from a range of poverty lines (before tax)",
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                    "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": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "Multiple lines",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a range of poverty lines (as a share of the poverty line) (before tax)",
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                    "subtitle": "Income here is measured before taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
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                    "selectedFacetStrategy": "entity",
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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": "Poverty gap index at a range of poverty lines (before tax)",
                    "ySlugs": "poverty_gap_index_mi_pc_100 poverty_gap_index_mi_pc_200 poverty_gap_index_mi_pc_500 poverty_gap_index_mi_pc_1000 poverty_gap_index_mi_pc_2000 poverty_gap_index_mi_pc_3000 poverty_gap_index_mi_pc_4000",
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                    "tableSlug": "lis_vars",
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                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "title": "Relative poverty: Share of people below 40% of the median income (before tax)",
                    "ySlugs": "headcount_ratio_40_median_mi_pc",
                    "subtitle": "Relative poverty is measured in terms of a poverty line that rises and falls over time with average incomes \u2013 in this case set at 40% of the median income. Income here is measured before taxes and benefits. ",
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                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
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                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "title": "Relative poverty: Share of people below 50% of the median income (before tax)",
                    "ySlugs": "headcount_ratio_50_median_mi_pc",
                    "subtitle": "Relative poverty is measured in terms of a poverty line that rises and falls over time with average incomes \u2013 in this case set at 50% of the median income. Income here is measured before taxes and benefits. ",
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                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
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                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "title": "Relative poverty: Share of people below 60% of the median income (before tax)",
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                    "subtitle": "Relative poverty is measured in terms of a poverty line that rises and falls over time with average incomes \u2013 in this case set at 60% of the median income. Income here is measured before taxes and benefits. ",
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                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
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                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "title": "Relative poverty: Number of people below 40% of the median income (before tax)",
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                    "subtitle": "Relative poverty is measured in terms of a poverty line that rises and falls over time with average incomes \u2013 in this case set at 40% of the median income. Income here is measured before taxes and benefits. ",
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                },
                {
                    "tab": "map",
                    "title": "Relative poverty: Number of people below 50% of the median income (before tax)",
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                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "title": "Relative poverty: Number of people below 60% of the median income (before tax)",
                    "ySlugs": "headcount_60_median_mi_pc",
                    "subtitle": "Relative poverty is measured in terms of a poverty line that rises and falls over time with average incomes \u2013 in this case set at 60% of the median income. Income here is measured before taxes and benefits. ",
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                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
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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": "Total shortfall from a poverty line of 40% of the median income (before tax)",
                    "ySlugs": "total_shortfall_40_median_mi_pc",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to 40% of the median income. Income here is measured before taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
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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": "Total shortfall from a poverty line of 50% of the median income (before tax)",
                    "ySlugs": "total_shortfall_50_median_mi_pc",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to 50% of the median income. Income here is measured before taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
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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": "Total shortfall from a poverty line of 60% of the median income (before tax)",
                    "ySlugs": "total_shortfall_60_median_mi_pc",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to 60% of the median income. Income here is measured before taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "Relative poverty: 60% of median",
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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": "Average shortfall from a poverty line of 40% of the median income (before tax)",
                    "ySlugs": "avg_shortfall_40_median_mi_pc_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to 40% of the median income, averaged across the population in poverty. Income here is measured before taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "Relative poverty: 40% of median",
                    "Income measure Dropdown": "Before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of 50% of the median income (before tax)",
                    "ySlugs": "avg_shortfall_50_median_mi_pc_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to 50% of the median income, averaged across the population in poverty. Income here is measured before taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "Relative poverty: 50% of median",
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                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of 60% of the median income (before tax)",
                    "ySlugs": "avg_shortfall_60_median_mi_pc_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to 60% of the median income, averaged across the population in poverty. Income here is measured before taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "Relative poverty: 60% of median",
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                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of 40% of the median income (as a share of the poverty line) (before tax)",
                    "ySlugs": "income_gap_ratio_40_median_mi_pc",
                    "subtitle": "\"This is the average shortfall expressed as a share of the poverty line, sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than 40% of the median income. Income here is measured before taxes and benefits. \"",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "Relative poverty: 40% of median",
                    "Income measure Dropdown": "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.",
                    "title": "Average shortfall from a poverty line of 50% of the median income (as a share of the poverty line) (before tax)",
                    "ySlugs": "income_gap_ratio_50_median_mi_pc",
                    "subtitle": "\"This is the average shortfall expressed as a share of the poverty line, sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than 50% of the median income. Income here is measured before taxes and benefits. \"",
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                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "Relative poverty: 50% of median",
                    "Income measure Dropdown": "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.",
                    "title": "Average shortfall from a poverty line of 60% of the median income (as a share of the poverty line) (before tax)",
                    "ySlugs": "income_gap_ratio_60_median_mi_pc",
                    "subtitle": "\"This is the average shortfall expressed as a share of the poverty line, sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than 60% of the median income. Income here is measured before taxes and benefits. \"",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "Relative poverty: 60% of median",
                    "Income measure Dropdown": "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.",
                    "title": "Poverty gap index at 40% of the median income (before tax)",
                    "ySlugs": "poverty_gap_index_40_median_mi_pc",
                    "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. It is calculated as the share of population in poverty multiplied by the average shortfall from the poverty line (expressed as a % of the poverty line). Income here is measured before taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "Relative poverty: 40% of median",
                    "Income measure Dropdown": "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.",
                    "title": "Poverty gap index at 50% of the median income (before tax)",
                    "ySlugs": "poverty_gap_index_50_median_mi_pc",
                    "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. It is calculated as the share of population in poverty multiplied by the average shortfall from the poverty line (expressed as a % of the poverty line). Income here is measured before taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "Relative poverty: 50% of median",
                    "Income measure Dropdown": "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.",
                    "title": "Poverty gap index at 60% of the median income (before tax)",
                    "ySlugs": "poverty_gap_index_60_median_mi_pc",
                    "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. It is calculated as the share of population in poverty multiplied by the average shortfall from the poverty line (expressed as a % of the poverty line). Income here is measured before taxes and benefits. ",
                    "yAxisMin": "0",
                    "hasMapTab": "true",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "Relative poverty: 60% of median",
                    "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": "Poverty: Share of population living on less than $1 a day (After vs. before tax)",
                    "ySlugs": "headcount_ratio_mi_pc_100 headcount_ratio_dhi_pc_100",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. ",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$1 per day",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $2 a day (After vs. before tax)",
                    "ySlugs": "headcount_ratio_mi_pc_200 headcount_ratio_dhi_pc_200",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. ",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$2 per day",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $5 a day (After vs. before tax)",
                    "ySlugs": "headcount_ratio_mi_pc_500 headcount_ratio_dhi_pc_500",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. ",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$5 per day",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $10 a day (After vs. before tax)",
                    "ySlugs": "headcount_ratio_mi_pc_1000 headcount_ratio_dhi_pc_1000",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. ",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$10 per day",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $20 a day (After vs. before tax)",
                    "ySlugs": "headcount_ratio_mi_pc_2000 headcount_ratio_dhi_pc_2000",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. ",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$20 per day",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $30 a day (After vs. before tax)",
                    "ySlugs": "headcount_ratio_mi_pc_3000 headcount_ratio_dhi_pc_3000",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. ",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$30 per day",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $40 a day (After vs. before tax)",
                    "ySlugs": "headcount_ratio_mi_pc_4000 headcount_ratio_dhi_pc_4000",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. ",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$40 per day",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $1 a day (After vs. before tax)",
                    "ySlugs": "headcount_mi_pc_100 headcount_dhi_pc_100",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. ",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "$1 per day",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $2 a day (After vs. before tax)",
                    "ySlugs": "headcount_mi_pc_200 headcount_dhi_pc_200",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. ",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "$2 per day",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $5 a day (After vs. before tax)",
                    "ySlugs": "headcount_mi_pc_500 headcount_dhi_pc_500",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. ",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "$5 per day",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $10 a day (After vs. before tax)",
                    "ySlugs": "headcount_mi_pc_1000 headcount_dhi_pc_1000",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. ",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "$10 per day",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $20 a day (After vs. before tax)",
                    "ySlugs": "headcount_mi_pc_2000 headcount_dhi_pc_2000",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. ",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "$20 per day",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $30 a day (After vs. before tax)",
                    "ySlugs": "headcount_mi_pc_3000 headcount_dhi_pc_3000",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. ",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "$30 per day",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $40 a day (After vs. before tax)",
                    "ySlugs": "headcount_mi_pc_4000 headcount_dhi_pc_4000",
                    "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. ",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
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                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices. The cost of closing the poverty gap does not take into account costs and inefficiencies from making the necessary transfers.",
                    "title": "Total shortfall from a poverty line of $1 a day (After vs. before tax)",
                    "ySlugs": "total_shortfall_mi_pc_100 total_shortfall_dhi_pc_100",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $1 a day. This data is adjusted for inflation and for differences in the cost of living between countries. ",
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                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "$1 per day",
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                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices. The cost of closing the poverty gap does not take into account costs and inefficiencies from making the necessary transfers.",
                    "title": "Total shortfall from a poverty line of $2 a day (After vs. before tax)",
                    "ySlugs": "total_shortfall_mi_pc_200 total_shortfall_dhi_pc_200",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $2 a day. This data is adjusted for inflation and for differences in the cost of living between countries. ",
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                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "$2 per day",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices. The cost of closing the poverty gap does not take into account costs and inefficiencies from making the necessary transfers.",
                    "title": "Total shortfall from a poverty line of $5 a day (After vs. before tax)",
                    "ySlugs": "total_shortfall_mi_pc_500 total_shortfall_dhi_pc_500",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $5 a day. This data is adjusted for inflation and for differences in the cost of living between countries. ",
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                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
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                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices. The cost of closing the poverty gap does not take into account costs and inefficiencies from making the necessary transfers.",
                    "title": "Total shortfall from a poverty line of $10 a day (After vs. before tax)",
                    "ySlugs": "total_shortfall_mi_pc_1000 total_shortfall_dhi_pc_1000",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $10 a day. This data is adjusted for inflation and for differences in the cost of living between countries. ",
                    "yAxisMin": "0",
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                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "$10 per day",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices. The cost of closing the poverty gap does not take into account costs and inefficiencies from making the necessary transfers.",
                    "title": "Total shortfall from a poverty line of $20 a day (After vs. before tax)",
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                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $20 a day. This data is adjusted for inflation and for differences in the cost of living between countries. ",
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                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "$20 per day",
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                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices. The cost of closing the poverty gap does not take into account costs and inefficiencies from making the necessary transfers.",
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                    "tableSlug": "lis_vars",
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                    "Indicator Dropdown": "Total shortfall from poverty line",
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                },
                {
                    "tab": "chart",
                    "note": "This data is expressed in international-$ at 2017 prices. The cost of closing the poverty gap does not take into account costs and inefficiencies from making the necessary transfers.",
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                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to $40 a day. This data is adjusted for inflation and for differences in the cost of living between countries. ",
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                    "Indicator Dropdown": "Total shortfall from poverty line",
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                },
                {
                    "tab": "chart",
                    "note": "This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
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                },
                {
                    "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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                },
                {
                    "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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                },
                {
                    "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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                },
                {
                    "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": "Average shortfall from a poverty line of 40% of the median income (as a share of the poverty line) (After vs. before tax)",
                    "ySlugs": "income_gap_ratio_40_median_mi_pc income_gap_ratio_40_median_dhi_pc",
                    "subtitle": "\"This is the average shortfall expressed as a share of the poverty line, sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than 40% of the median income. \"",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "Relative poverty: 40% of median",
                    "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.",
                    "title": "Average shortfall from a poverty line of 50% of the median income (as a share of the poverty line) (After vs. before tax)",
                    "ySlugs": "income_gap_ratio_50_median_mi_pc income_gap_ratio_50_median_dhi_pc",
                    "subtitle": "\"This is the average shortfall expressed as a share of the poverty line, sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than 50% of the median income. \"",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "Relative poverty: 50% of median",
                    "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.",
                    "title": "Average shortfall from a poverty line of 60% of the median income (as a share of the poverty line) (After vs. before tax)",
                    "ySlugs": "income_gap_ratio_60_median_mi_pc income_gap_ratio_60_median_dhi_pc",
                    "subtitle": "\"This is the average shortfall expressed as a share of the poverty line, sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than 60% of the median income. \"",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "Relative poverty: 60% of median",
                    "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.",
                    "title": "Poverty gap index at 40% of the median income (After vs. before tax)",
                    "ySlugs": "poverty_gap_index_40_median_mi_pc poverty_gap_index_40_median_dhi_pc",
                    "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. It is calculated as the share of population in poverty multiplied by the average shortfall from the poverty line (expressed as a % of the poverty line). ",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "Relative poverty: 40% of median",
                    "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.",
                    "title": "Poverty gap index at 50% of the median income (After vs. before tax)",
                    "ySlugs": "poverty_gap_index_50_median_mi_pc poverty_gap_index_50_median_dhi_pc",
                    "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. It is calculated as the share of population in poverty multiplied by the average shortfall from the poverty line (expressed as a % of the poverty line). ",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "Relative poverty: 50% of median",
                    "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.",
                    "title": "Poverty gap index at 60% of the median income (After vs. before tax)",
                    "ySlugs": "poverty_gap_index_60_median_mi_pc poverty_gap_index_60_median_dhi_pc",
                    "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. It is calculated as the share of population in poverty multiplied by the average shortfall from the poverty line (expressed as a % of the poverty line). ",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "lis_vars",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "Relative poverty: 60% of median",
                    "selectedFacetStrategy": "entity",
                    "Income measure Dropdown": "After tax vs. before tax",
                    "Adjust for cost sharing within households (equivalized income) Checkbox": "false"
                }
            ]
        },
        {
            "args": [
                "https://catalog.ourworldindata.org/explorers/lis/latest/luxembourg_income_study/luxembourg_income_study.csv",
                "lis_vars"
            ],
            "type": "table",
            "block": null
        },
        {
            "args": [
                "lis_vars"
            ],
            "type": "columns",
            "block": [
                {
                    "name": "Country",
                    "slug": "country",
                    "type": "EntityName",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleEqualSizeBins": "true",
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                },
                {
                    "name": "Year",
                    "slug": "year",
                    "type": "Year",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below $1 a day (after tax)",
                    "slug": "headcount_ratio_dhi_eq_100",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
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                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                },
                {
                    "name": "Share below $2 a day (after tax)",
                    "slug": "headcount_ratio_dhi_eq_200",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
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                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
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                    "type": "Numeric",
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                    "sourceName": "Luxembourg Income Study (2024)",
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                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
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                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
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                    "name": "Share below $30 a day (after tax)",
                    "slug": "headcount_ratio_dhi_eq_3000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "% of population living in households with income below $30 a day.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
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                    "name": "Share below $40 a day (after tax)",
                    "slug": "headcount_ratio_dhi_eq_4000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "% of population living in households with income below $40 a day.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below $1 a day (after tax)",
                    "slug": "headcount_dhi_eq_100",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Number of people living in households with income below $1 a day.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Reds",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below $2 a day (after tax)",
                    "slug": "headcount_dhi_eq_200",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Number of people living in households with income below $2 a day.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Reds",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below $5 a day (after tax)",
                    "slug": "headcount_dhi_eq_500",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Number of people living in households with income below $5 a day.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Reds",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below $10 a day (after tax)",
                    "slug": "headcount_dhi_eq_1000",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Number of people living in households with income below $10 a day.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Reds",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below $20 a day (after tax)",
                    "slug": "headcount_dhi_eq_2000",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Number of people living in households with income below $20 a day.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Reds",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below $30 a day (after tax)",
                    "slug": "headcount_dhi_eq_3000",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Number of people living in households with income below $30 a day.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Reds",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below $40 a day (after tax)",
                    "slug": "headcount_dhi_eq_4000",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Number of people living in households with income below $40 a day.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Reds",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $1 a day (after tax)",
                    "slug": "total_shortfall_dhi_eq_100",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The total shortfall from a poverty line of $1 a day. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Oranges",
                    "colorScaleNumericBins": "1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $2 a day (after tax)",
                    "slug": "total_shortfall_dhi_eq_200",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The total shortfall from a poverty line of $2 a day. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleNumericBins": "1000000;3000000;10000000;30000000;100000000;300000000;1000000000;3000000000;10000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $5 a day (after tax)",
                    "slug": "total_shortfall_dhi_eq_500",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The total shortfall from a poverty line of $5 a day. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $10 a day (after tax)",
                    "slug": "total_shortfall_dhi_eq_1000",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The total shortfall from a poverty line of $10 a day. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $20 a day (after tax)",
                    "slug": "total_shortfall_dhi_eq_2000",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The total shortfall from a poverty line of $20 a day. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleNumericBins": "10000000000;30000000000;100000000000;300000000000;1000000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $30 a day (after tax)",
                    "slug": "total_shortfall_dhi_eq_3000",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The total shortfall from a poverty line of $30 a day. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleNumericBins": "10000000000;30000000000;100000000000;300000000000;1000000000000;3000000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $40 a day (after tax)",
                    "slug": "total_shortfall_dhi_eq_4000",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The total shortfall from a poverty line of $40 a day. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Oranges",
                    "colorScaleNumericBins": "10000000000;30000000000;100000000000;300000000000;1000000000000;3000000000000;10000000000000;30000000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $1 a day (after tax)",
                    "slug": "avg_shortfall_dhi_eq_100",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $1 (averaged across the population in poverty).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "0.2;0.4;0.6;0.8;1",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $2 a day (after tax)",
                    "slug": "avg_shortfall_dhi_eq_200",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $2 (averaged across the population in poverty).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleNumericBins": "0.2;0.4;0.6;0.8;1;1.2;1.4;1.6;1.8;2",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $5 a day (after tax)",
                    "slug": "avg_shortfall_dhi_eq_500",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $5 (averaged across the population in poverty).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleNumericBins": "0.5;1;1.5;2;2.5;3;3.5;4;4.5;5",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $10 a day (after tax)",
                    "slug": "avg_shortfall_dhi_eq_1000",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $10 (averaged across the population in poverty).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "2;4;6;8;10",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $20 a day (after tax)",
                    "slug": "avg_shortfall_dhi_eq_2000",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $20 (averaged across the population in poverty).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "3;6;9;12;15;18;21",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $30 a day (after tax)",
                    "slug": "avg_shortfall_dhi_eq_3000",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $30 (averaged across the population in poverty).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "5;10;15;20;25;30",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $40 a day (after tax)",
                    "slug": "avg_shortfall_dhi_eq_4000",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $40 (averaged across the population in poverty).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "5;10;15;20;25;30;35;40",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $1 a day (after tax)",
                    "slug": "avg_shortfall_dhi_eq_100_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_dhi_eq_100 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $1 (averaged across the population in poverty).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "0.2;0.4;0.6;0.8;1",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $2 a day (after tax)",
                    "slug": "avg_shortfall_dhi_eq_200_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_dhi_eq_200 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $2 (averaged across the population in poverty).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "0.2;0.4;0.6;0.8;1;1.2;1.4;1.6;1.8;2",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $5 a day (after tax)",
                    "slug": "avg_shortfall_dhi_eq_500_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_dhi_eq_500 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $5 (averaged across the population in poverty).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "0.5;1;1.5;2;2.5;3;3.5;4;4.5;5",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $10 a day (after tax)",
                    "slug": "avg_shortfall_dhi_eq_1000_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_dhi_eq_1000 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $10 (averaged across the population in poverty).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "2;4;6;8;10",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $20 a day (after tax)",
                    "slug": "avg_shortfall_dhi_eq_2000_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_dhi_eq_2000 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $20 (averaged across the population in poverty).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "3;6;9;12;15;18;21",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $30 a day (after tax)",
                    "slug": "avg_shortfall_dhi_eq_3000_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_dhi_eq_3000 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $30 (averaged across the population in poverty).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "5;10;15;20;25;30",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $40 a day (after tax)",
                    "slug": "avg_shortfall_dhi_eq_4000_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_dhi_eq_4000 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $40 (averaged across the population in poverty).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "5;10;15;20;25;30;35;40",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - $1 a day (after tax)",
                    "slug": "income_gap_ratio_dhi_eq_100",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "\"The average shortfall from a poverty line of $1 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.\"",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrRd",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - $2 a day (after tax)",
                    "slug": "income_gap_ratio_dhi_eq_200",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "\"The average shortfall from a poverty line of $2 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.\"",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrRd",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - $5 a day (after tax)",
                    "slug": "income_gap_ratio_dhi_eq_500",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "\"The average shortfall from a poverty line of $5 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.\"",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrRd",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - $10 a day (after tax)",
                    "slug": "income_gap_ratio_dhi_eq_1000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "\"The average shortfall from a poverty line of $10 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.\"",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrRd",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - $20 a day (after tax)",
                    "slug": "income_gap_ratio_dhi_eq_2000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "\"The average shortfall from a poverty line of $20 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.\"",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrRd",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - $30 a day (after tax)",
                    "slug": "income_gap_ratio_dhi_eq_3000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "\"The average shortfall from a poverty line of $30 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.\"",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrRd",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - $40 a day (after tax)",
                    "slug": "income_gap_ratio_dhi_eq_4000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "\"The average shortfall from a poverty line of $40 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.\"",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrRd",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $1 a day (after tax)",
                    "slug": "poverty_gap_index_dhi_eq_100",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The poverty gap index calculated at a poverty line of $1 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "RdPu",
                    "colorScaleNumericBins": "1;2;3;4;5",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $2 a day (after tax)",
                    "slug": "poverty_gap_index_dhi_eq_200",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The poverty gap index calculated at a poverty line of $2 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "RdPu",
                    "colorScaleNumericBins": "1;2;3;4;5;6;7;8;9;10",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $5 a day (after tax)",
                    "slug": "poverty_gap_index_dhi_eq_500",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The poverty gap index calculated at a poverty line of $5 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "RdPu",
                    "colorScaleNumericBins": "3;6;9;12;15;18;21;24;27;30",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $10 a day (after tax)",
                    "slug": "poverty_gap_index_dhi_eq_1000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The poverty gap index calculated at a poverty line of $10 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "RdPu",
                    "colorScaleNumericBins": "5;10;15;20;25;30;35;40;45;50",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $20 a day (after tax)",
                    "slug": "poverty_gap_index_dhi_eq_2000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The poverty gap index calculated at a poverty line of $20 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "RdPu",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $30 a day (after tax)",
                    "slug": "poverty_gap_index_dhi_eq_3000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The poverty gap index calculated at a poverty line of $30 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "RdPu",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $40 a day (after tax)",
                    "slug": "poverty_gap_index_dhi_eq_4000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The poverty gap index calculated at a poverty line of $40 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "RdPu",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below 40% of median (after tax)",
                    "slug": "headcount_ratio_40_median_dhi_eq",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "% of population living in households with income below 40% of the median income.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "5;10;15;20;25;30",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below 50% of median (after tax)",
                    "slug": "headcount_ratio_50_median_dhi_eq",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "% of population living in households with income below 50% of the median income.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "5;10;15;20;25;30",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below 60% of median (after tax)",
                    "slug": "headcount_ratio_60_median_dhi_eq",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "% of population living in households with income below 60% of the median income.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "5;10;15;20;25;30",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below 40% of median (after tax)",
                    "slug": "headcount_40_median_dhi_eq",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Number of people living in households with income below 40% of the median income.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below 50% of median (after tax)",
                    "slug": "headcount_50_median_dhi_eq",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Number of people living in households with income below 50% of the median income.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below 60% of median (after tax)",
                    "slug": "headcount_60_median_dhi_eq",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Number of people living in households with income below 60% of the median income.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - 40% of median (after tax)",
                    "slug": "total_shortfall_40_median_dhi_eq",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The total shortfall from a poverty line of 40% of the median income. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "100000000;300000000;1000000000;3000000000;10000000000;30000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - 50% of median (after tax)",
                    "slug": "total_shortfall_50_median_dhi_eq",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The total shortfall from a poverty line of 50% of the median income. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "100000000;300000000;1000000000;3000000000;10000000000;30000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - 60% of median (after tax)",
                    "slug": "total_shortfall_60_median_dhi_eq",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The total shortfall from a poverty line of 60% of the median income. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "100000000;300000000;1000000000;3000000000;10000000000;30000000000;100000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - 40% of median (after tax)",
                    "slug": "avg_shortfall_40_median_dhi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of of 40% of the median income (averaged across the population in poverty).\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ 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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "1000;2000;3000;4000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - 50% of median (after tax)",
                    "slug": "avg_shortfall_50_median_dhi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of of 50% of the median income (averaged across the population in poverty).\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ 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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "1000;2000;3000;4000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - 60% of median (after tax)",
                    "slug": "avg_shortfall_60_median_dhi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of of 60% of the median income (averaged across the population in poverty).\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ 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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "1000;2000;3000;4000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - 40% of median (after tax)",
                    "slug": "avg_shortfall_40_median_dhi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_40_median_dhi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of of 40% of the median income (averaged across the population in poverty).\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ 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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "1;2;5;10;20;20.0001",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - 50% of median (after tax)",
                    "slug": "avg_shortfall_50_median_dhi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_50_median_dhi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of of 50% of the median income (averaged across the population in poverty).\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ 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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "1;2;5;10;20;20.0001",
                    "colorScaleEqualSizeBins": "true",
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                },
                {
                    "name": "Average shortfall - 60% of median (after tax)",
                    "slug": "avg_shortfall_60_median_dhi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_60_median_dhi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of of 60% of the median income (averaged across the population in poverty).\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ 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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "1;2;5;10;20;20.0001",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - 40% of median (after tax)",
                    "slug": "income_gap_ratio_40_median_dhi_eq",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "\"The average shortfall from a poverty line of of 40% of the median income (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.\"",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "5;10;15;20;25;30;35;40",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - 50% of median (after tax)",
                    "slug": "income_gap_ratio_50_median_dhi_eq",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "\"The average shortfall from a poverty line of of 50% of the median income (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.\"",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "5;10;15;20;25;30;35;40",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - 60% of median (after tax)",
                    "slug": "income_gap_ratio_60_median_dhi_eq",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "\"The average shortfall from a poverty line of of 60% of the median income (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.\"",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleNumericBins": "5;10;15;20;25;30;35;40",
                    "colorScaleEqualSizeBins": "true",
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                },
                {
                    "name": "Poverty gap index - 40% of median (after tax)",
                    "slug": "poverty_gap_index_40_median_dhi_eq",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The poverty gap index calculated at a poverty line of 40% of the median income. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "2;4;6;8;10;12",
                    "colorScaleEqualSizeBins": "true",
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                },
                {
                    "name": "Poverty gap index - 50% of median (after tax)",
                    "slug": "poverty_gap_index_50_median_dhi_eq",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The poverty gap index calculated at a poverty line of 50% of the median income. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleEqualSizeBins": "true",
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                },
                {
                    "name": "Poverty gap index - 60% of median (after tax)",
                    "slug": "poverty_gap_index_60_median_dhi_eq",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The poverty gap index calculated at a poverty line of 60% of the median income. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "2;4;6;8;10;12",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below $1 a day (after tax)",
                    "slug": "headcount_ratio_dhi_pc_100",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "% of population living in households with income below $1 a day.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "3;10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below $2 a day (after tax)",
                    "slug": "headcount_ratio_dhi_pc_200",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "% of population living in households with income below $2 a day.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "3;10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below $5 a day (after tax)",
                    "slug": "headcount_ratio_dhi_pc_500",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "% of population living in households with income below $5 a day.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "3;10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below $10 a day (after tax)",
                    "slug": "headcount_ratio_dhi_pc_1000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "% of population living in households with income below $10 a day.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "3;10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below $20 a day (after tax)",
                    "slug": "headcount_ratio_dhi_pc_2000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "% of population living in households with income below $20 a day.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "3;10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below $30 a day (after tax)",
                    "slug": "headcount_ratio_dhi_pc_3000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "% of population living in households with income below $30 a day.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "3;10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below $40 a day (after tax)",
                    "slug": "headcount_ratio_dhi_pc_4000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "% of population living in households with income below $40 a day.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "3;10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below $1 a day (after tax)",
                    "slug": "headcount_dhi_pc_100",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Number of people living in households with income below $1 a day.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Reds",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below $2 a day (after tax)",
                    "slug": "headcount_dhi_pc_200",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Number of people living in households with income below $2 a day.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Reds",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below $5 a day (after tax)",
                    "slug": "headcount_dhi_pc_500",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Number of people living in households with income below $5 a day.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below $10 a day (after tax)",
                    "slug": "headcount_dhi_pc_1000",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Number of people living in households with income below $10 a day.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Reds",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below $20 a day (after tax)",
                    "slug": "headcount_dhi_pc_2000",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Number of people living in households with income below $20 a day.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below $30 a day (after tax)",
                    "slug": "headcount_dhi_pc_3000",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Number of people living in households with income below $30 a day.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Reds",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below $40 a day (after tax)",
                    "slug": "headcount_dhi_pc_4000",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Number of people living in households with income below $40 a day.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $1 a day (after tax)",
                    "slug": "total_shortfall_dhi_pc_100",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The total shortfall from a poverty line of $1 a day. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Oranges",
                    "colorScaleNumericBins": "1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $2 a day (after tax)",
                    "slug": "total_shortfall_dhi_pc_200",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The total shortfall from a poverty line of $2 a day. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $5 a day (after tax)",
                    "slug": "total_shortfall_dhi_pc_500",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The total shortfall from a poverty line of $5 a day. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                },
                {
                    "name": "Total shortfall - $10 a day (after tax)",
                    "slug": "total_shortfall_dhi_pc_1000",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The total shortfall from a poverty line of $10 a day. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $20 a day (after tax)",
                    "slug": "total_shortfall_dhi_pc_2000",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The total shortfall from a poverty line of $20 a day. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                {
                    "name": "Total shortfall - $30 a day (after tax)",
                    "slug": "total_shortfall_dhi_pc_3000",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The total shortfall from a poverty line of $30 a day. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $40 a day (after tax)",
                    "slug": "total_shortfall_dhi_pc_4000",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The total shortfall from a poverty line of $40 a day. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $1 a day (after tax)",
                    "slug": "avg_shortfall_dhi_pc_100",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $1 (averaged across the population in poverty).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "0.2;0.4;0.6;0.8;1",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $2 a day (after tax)",
                    "slug": "avg_shortfall_dhi_pc_200",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $2 (averaged across the population in poverty).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "0.2;0.4;0.6;0.8;1;1.2;1.4;1.6;1.8;2",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $5 a day (after tax)",
                    "slug": "avg_shortfall_dhi_pc_500",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $5 (averaged across the population in poverty).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $10 a day (after tax)",
                    "slug": "avg_shortfall_dhi_pc_1000",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $10 (averaged across the population in poverty).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleNumericBins": "2;4;6;8;10",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $20 a day (after tax)",
                    "slug": "avg_shortfall_dhi_pc_2000",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $20 (averaged across the population in poverty).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
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                {
                    "name": "Average shortfall - $30 a day (after tax)",
                    "slug": "avg_shortfall_dhi_pc_3000",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $30 (averaged across the population in poverty).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "5;10;15;20;25;30",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $40 a day (after tax)",
                    "slug": "avg_shortfall_dhi_pc_4000",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $40 (averaged across the population in poverty).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "5;10;15;20;25;30;35;40",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $1 a day (after tax)",
                    "slug": "avg_shortfall_dhi_pc_100_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_dhi_pc_100 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $1 (averaged across the population in poverty).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "0.2;0.4;0.6;0.8;1",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $2 a day (after tax)",
                    "slug": "avg_shortfall_dhi_pc_200_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_dhi_pc_200 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $2 (averaged across the population in poverty).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "0.2;0.4;0.6;0.8;1;1.2;1.4;1.6;1.8;2",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $5 a day (after tax)",
                    "slug": "avg_shortfall_dhi_pc_500_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_dhi_pc_500 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $5 (averaged across the population in poverty).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "0.5;1;1.5;2;2.5;3;3.5;4;4.5;5",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $10 a day (after tax)",
                    "slug": "avg_shortfall_dhi_pc_1000_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_dhi_pc_1000 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $10 (averaged across the population in poverty).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "2;4;6;8;10",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $20 a day (after tax)",
                    "slug": "avg_shortfall_dhi_pc_2000_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_dhi_pc_2000 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $20 (averaged across the population in poverty).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "3;6;9;12;15;18;21",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $30 a day (after tax)",
                    "slug": "avg_shortfall_dhi_pc_3000_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_dhi_pc_3000 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $30 (averaged across the population in poverty).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "5;10;15;20;25;30",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $40 a day (after tax)",
                    "slug": "avg_shortfall_dhi_pc_4000_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_dhi_pc_4000 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $40 (averaged across the population in poverty).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "5;10;15;20;25;30;35;40",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - $1 a day (after tax)",
                    "slug": "income_gap_ratio_dhi_pc_100",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "\"The average shortfall from a poverty line of $1 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.\"",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrRd",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - $2 a day (after tax)",
                    "slug": "income_gap_ratio_dhi_pc_200",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "\"The average shortfall from a poverty line of $2 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.\"",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrRd",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - $5 a day (after tax)",
                    "slug": "income_gap_ratio_dhi_pc_500",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "\"The average shortfall from a poverty line of $5 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.\"",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrRd",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - $10 a day (after tax)",
                    "slug": "income_gap_ratio_dhi_pc_1000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "\"The average shortfall from a poverty line of $10 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.\"",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrRd",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - $20 a day (after tax)",
                    "slug": "income_gap_ratio_dhi_pc_2000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "\"The average shortfall from a poverty line of $20 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.\"",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrRd",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - $30 a day (after tax)",
                    "slug": "income_gap_ratio_dhi_pc_3000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "\"The average shortfall from a poverty line of $30 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.\"",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrRd",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - $40 a day (after tax)",
                    "slug": "income_gap_ratio_dhi_pc_4000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "\"The average shortfall from a poverty line of $40 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.\"",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrRd",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $1 a day (after tax)",
                    "slug": "poverty_gap_index_dhi_pc_100",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The poverty gap index calculated at a poverty line of $1 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "RdPu",
                    "colorScaleNumericBins": "1;2;3;4;5",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $2 a day (after tax)",
                    "slug": "poverty_gap_index_dhi_pc_200",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The poverty gap index calculated at a poverty line of $2 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "RdPu",
                    "colorScaleNumericBins": "1;2;3;4;5;6;7;8;9;10",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $5 a day (after tax)",
                    "slug": "poverty_gap_index_dhi_pc_500",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The poverty gap index calculated at a poverty line of $5 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "RdPu",
                    "colorScaleNumericBins": "3;6;9;12;15;18;21;24;27;30",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $10 a day (after tax)",
                    "slug": "poverty_gap_index_dhi_pc_1000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The poverty gap index calculated at a poverty line of $10 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "RdPu",
                    "colorScaleNumericBins": "5;10;15;20;25;30;35;40;45;50",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $20 a day (after tax)",
                    "slug": "poverty_gap_index_dhi_pc_2000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The poverty gap index calculated at a poverty line of $20 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "RdPu",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $30 a day (after tax)",
                    "slug": "poverty_gap_index_dhi_pc_3000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The poverty gap index calculated at a poverty line of $30 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "RdPu",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $40 a day (after tax)",
                    "slug": "poverty_gap_index_dhi_pc_4000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The poverty gap index calculated at a poverty line of $40 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "RdPu",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below 40% of median (after tax)",
                    "slug": "headcount_ratio_40_median_dhi_pc",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "% of population living in households with income below 40% of the median income.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "5;10;15;20;25;30",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below 50% of median (after tax)",
                    "slug": "headcount_ratio_50_median_dhi_pc",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "% of population living in households with income below 50% of the median income.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "5;10;15;20;25;30",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below 60% of median (after tax)",
                    "slug": "headcount_ratio_60_median_dhi_pc",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "% of population living in households with income below 60% of the median income.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "5;10;15;20;25;30",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below 40% of median (after tax)",
                    "slug": "headcount_40_median_dhi_pc",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Number of people living in households with income below 40% of the median income.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below 50% of median (after tax)",
                    "slug": "headcount_50_median_dhi_pc",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Number of people living in households with income below 50% of the median income.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below 60% of median (after tax)",
                    "slug": "headcount_60_median_dhi_pc",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Number of people living in households with income below 60% of the median income.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - 40% of median (after tax)",
                    "slug": "total_shortfall_40_median_dhi_pc",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The total shortfall from a poverty line of 40% of the median income. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "100000000;300000000;1000000000;3000000000;10000000000;30000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - 50% of median (after tax)",
                    "slug": "total_shortfall_50_median_dhi_pc",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The total shortfall from a poverty line of 50% of the median income. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "100000000;300000000;1000000000;3000000000;10000000000;30000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - 60% of median (after tax)",
                    "slug": "total_shortfall_60_median_dhi_pc",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The total shortfall from a poverty line of 60% of the median income. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - 40% of median (after tax)",
                    "slug": "avg_shortfall_40_median_dhi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of of 40% of the median income (averaged across the population in poverty).\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ 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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "1000;2000;3000;4000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - 50% of median (after tax)",
                    "slug": "avg_shortfall_50_median_dhi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of of 50% of the median income (averaged across the population in poverty).\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ 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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
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                    "colorScaleEqualSizeBins": "true",
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                {
                    "name": "Average shortfall - 60% of median (after tax)",
                    "slug": "avg_shortfall_60_median_dhi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of of 60% of the median income (averaged across the population in poverty).\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ 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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                {
                    "name": "Average shortfall - 40% of median (after tax)",
                    "slug": "avg_shortfall_40_median_dhi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_40_median_dhi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of of 40% of the median income (averaged across the population in poverty).\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ 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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "1;2;5;10;20;20.0001",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - 50% of median (after tax)",
                    "slug": "avg_shortfall_50_median_dhi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_50_median_dhi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of of 50% of the median income (averaged across the population in poverty).\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ 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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "1;2;5;10;20;20.0001",
                    "colorScaleEqualSizeBins": "true",
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                },
                {
                    "name": "Average shortfall - 60% of median (after tax)",
                    "slug": "avg_shortfall_60_median_dhi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_60_median_dhi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of of 60% of the median income (averaged across the population in poverty).\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ 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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "1;2;5;10;20;20.0001",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - 40% of median (after tax)",
                    "slug": "income_gap_ratio_40_median_dhi_pc",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "\"The average shortfall from a poverty line of of 40% of the median income (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.\"",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "5;10;15;20;25;30;35;40",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - 50% of median (after tax)",
                    "slug": "income_gap_ratio_50_median_dhi_pc",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "\"The average shortfall from a poverty line of of 50% of the median income (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.\"",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "5;10;15;20;25;30;35;40",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - 60% of median (after tax)",
                    "slug": "income_gap_ratio_60_median_dhi_pc",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "\"The average shortfall from a poverty line of of 60% of the median income (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.\"",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleEqualSizeBins": "true",
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                },
                {
                    "name": "Poverty gap index - 40% of median (after tax)",
                    "slug": "poverty_gap_index_40_median_dhi_pc",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The poverty gap index calculated at a poverty line of 40% of the median income. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "2;4;6;8;10;12",
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                {
                    "name": "Poverty gap index - 50% of median (after tax)",
                    "slug": "poverty_gap_index_50_median_dhi_pc",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The poverty gap index calculated at a poverty line of 50% of the median income. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleEqualSizeBins": "true",
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                {
                    "name": "Poverty gap index - 60% of median (after tax)",
                    "slug": "poverty_gap_index_60_median_dhi_pc",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The poverty gap index calculated at a poverty line of 60% of the median income. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "2;4;6;8;10;12",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below $1 a day (before tax)",
                    "slug": "headcount_ratio_mi_eq_100",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "% of population living in households with income below $1 a day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "3;10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below $2 a day (before tax)",
                    "slug": "headcount_ratio_mi_eq_200",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "% of population living in households with income below $2 a day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "3;10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below $5 a day (before tax)",
                    "slug": "headcount_ratio_mi_eq_500",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "% of population living in households with income below $5 a day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "3;10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below $10 a day (before tax)",
                    "slug": "headcount_ratio_mi_eq_1000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "% of population living in households with income below $10 a day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "3;10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below $20 a day (before tax)",
                    "slug": "headcount_ratio_mi_eq_2000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "% of population living in households with income below $20 a day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "3;10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below $30 a day (before tax)",
                    "slug": "headcount_ratio_mi_eq_3000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "% of population living in households with income below $30 a day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "3;10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below $40 a day (before tax)",
                    "slug": "headcount_ratio_mi_eq_4000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "% of population living in households with income below $40 a day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "3;10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below $1 a day (before tax)",
                    "slug": "headcount_mi_eq_100",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Number of people living in households with income below $1 a day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Reds",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below $2 a day (before tax)",
                    "slug": "headcount_mi_eq_200",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Number of people living in households with income below $2 a day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Reds",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below $5 a day (before tax)",
                    "slug": "headcount_mi_eq_500",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Number of people living in households with income below $5 a day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Reds",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below $10 a day (before tax)",
                    "slug": "headcount_mi_eq_1000",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Number of people living in households with income below $10 a day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Reds",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below $20 a day (before tax)",
                    "slug": "headcount_mi_eq_2000",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Number of people living in households with income below $20 a day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Reds",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below $30 a day (before tax)",
                    "slug": "headcount_mi_eq_3000",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Number of people living in households with income below $30 a day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Reds",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below $40 a day (before tax)",
                    "slug": "headcount_mi_eq_4000",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Number of people living in households with income below $40 a day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Reds",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $1 a day (before tax)",
                    "slug": "total_shortfall_mi_eq_100",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The total shortfall from a poverty line of $1 a day. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Oranges",
                    "colorScaleNumericBins": "1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $2 a day (before tax)",
                    "slug": "total_shortfall_mi_eq_200",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The total shortfall from a poverty line of $2 a day. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleNumericBins": "1000000;3000000;10000000;30000000;100000000;300000000;1000000000;3000000000;10000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $5 a day (before tax)",
                    "slug": "total_shortfall_mi_eq_500",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The total shortfall from a poverty line of $5 a day. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleNumericBins": "100000000;300000000;1000000000;3000000000;10000000000;30000000000;100000000000;300000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $10 a day (before tax)",
                    "slug": "total_shortfall_mi_eq_1000",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The total shortfall from a poverty line of $10 a day. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleNumericBins": "1000000000;3000000000;10000000000;30000000000;100000000000;300000000000;1000000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $20 a day (before tax)",
                    "slug": "total_shortfall_mi_eq_2000",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The total shortfall from a poverty line of $20 a day. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $30 a day (before tax)",
                    "slug": "total_shortfall_mi_eq_3000",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The total shortfall from a poverty line of $30 a day. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleNumericBins": "10000000000;30000000000;100000000000;300000000000;1000000000000;3000000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $40 a day (before tax)",
                    "slug": "total_shortfall_mi_eq_4000",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The total shortfall from a poverty line of $40 a day. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $1 a day (before tax)",
                    "slug": "avg_shortfall_mi_eq_100",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $1 (averaged across the population in poverty).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "0.2;0.4;0.6;0.8;1",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $2 a day (before tax)",
                    "slug": "avg_shortfall_mi_eq_200",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $2 (averaged across the population in poverty).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "0.2;0.4;0.6;0.8;1;1.2;1.4;1.6;1.8;2",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $5 a day (before tax)",
                    "slug": "avg_shortfall_mi_eq_500",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $5 (averaged across the population in poverty).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "0.5;1;1.5;2;2.5;3;3.5;4;4.5;5",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $10 a day (before tax)",
                    "slug": "avg_shortfall_mi_eq_1000",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $10 (averaged across the population in poverty).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "2;4;6;8;10",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $20 a day (before tax)",
                    "slug": "avg_shortfall_mi_eq_2000",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $20 (averaged across the population in poverty).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "3;6;9;12;15;18;21",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $30 a day (before tax)",
                    "slug": "avg_shortfall_mi_eq_3000",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $30 (averaged across the population in poverty).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "5;10;15;20;25;30",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $40 a day (before tax)",
                    "slug": "avg_shortfall_mi_eq_4000",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $40 (averaged across the population in poverty).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "5;10;15;20;25;30;35;40",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $1 a day (before tax)",
                    "slug": "avg_shortfall_mi_eq_100_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_mi_eq_100 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $1 (averaged across the population in poverty).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "0.2;0.4;0.6;0.8;1",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $2 a day (before tax)",
                    "slug": "avg_shortfall_mi_eq_200_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_mi_eq_200 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $2 (averaged across the population in poverty).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "0.2;0.4;0.6;0.8;1;1.2;1.4;1.6;1.8;2",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $5 a day (before tax)",
                    "slug": "avg_shortfall_mi_eq_500_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_mi_eq_500 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $5 (averaged across the population in poverty).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "0.5;1;1.5;2;2.5;3;3.5;4;4.5;5",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $10 a day (before tax)",
                    "slug": "avg_shortfall_mi_eq_1000_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_mi_eq_1000 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $10 (averaged across the population in poverty).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "2;4;6;8;10",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $20 a day (before tax)",
                    "slug": "avg_shortfall_mi_eq_2000_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_mi_eq_2000 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $20 (averaged across the population in poverty).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "3;6;9;12;15;18;21",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $30 a day (before tax)",
                    "slug": "avg_shortfall_mi_eq_3000_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_mi_eq_3000 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $30 (averaged across the population in poverty).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "5;10;15;20;25;30",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $40 a day (before tax)",
                    "slug": "avg_shortfall_mi_eq_4000_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_mi_eq_4000 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $40 (averaged across the population in poverty).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "5;10;15;20;25;30;35;40",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - $1 a day (before tax)",
                    "slug": "income_gap_ratio_mi_eq_100",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "\"The average shortfall from a poverty line of $1 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.\"",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrRd",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - $2 a day (before tax)",
                    "slug": "income_gap_ratio_mi_eq_200",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "\"The average shortfall from a poverty line of $2 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.\"",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrRd",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - $5 a day (before tax)",
                    "slug": "income_gap_ratio_mi_eq_500",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "\"The average shortfall from a poverty line of $5 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.\"",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrRd",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - $10 a day (before tax)",
                    "slug": "income_gap_ratio_mi_eq_1000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "\"The average shortfall from a poverty line of $10 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.\"",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrRd",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - $20 a day (before tax)",
                    "slug": "income_gap_ratio_mi_eq_2000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "\"The average shortfall from a poverty line of $20 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.\"",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrRd",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - $30 a day (before tax)",
                    "slug": "income_gap_ratio_mi_eq_3000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "\"The average shortfall from a poverty line of $30 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.\"",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrRd",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - $40 a day (before tax)",
                    "slug": "income_gap_ratio_mi_eq_4000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "\"The average shortfall from a poverty line of $40 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.\"",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrRd",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $1 a day (before tax)",
                    "slug": "poverty_gap_index_mi_eq_100",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The poverty gap index calculated at a poverty line of $1 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "RdPu",
                    "colorScaleNumericBins": "2;4;6;8;10;12;14;16",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $2 a day (before tax)",
                    "slug": "poverty_gap_index_mi_eq_200",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The poverty gap index calculated at a poverty line of $2 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "RdPu",
                    "colorScaleNumericBins": "2;4;6;8;10;12;14;16;18;20",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $5 a day (before tax)",
                    "slug": "poverty_gap_index_mi_eq_500",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The poverty gap index calculated at a poverty line of $5 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "RdPu",
                    "colorScaleNumericBins": "4;8;12;16;20;14;28",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $10 a day (before tax)",
                    "slug": "poverty_gap_index_mi_eq_1000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The poverty gap index calculated at a poverty line of $10 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "RdPu",
                    "colorScaleNumericBins": "5;10;15;20;25;35;40",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $20 a day (before tax)",
                    "slug": "poverty_gap_index_mi_eq_2000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The poverty gap index calculated at a poverty line of $20 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "RdPu",
                    "colorScaleNumericBins": "10;20;30;40;50;60",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $30 a day (before tax)",
                    "slug": "poverty_gap_index_mi_eq_3000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The poverty gap index calculated at a poverty line of $30 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "RdPu",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $40 a day (before tax)",
                    "slug": "poverty_gap_index_mi_eq_4000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The poverty gap index calculated at a poverty line of $40 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "RdPu",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below 40% of median (before tax)",
                    "slug": "headcount_ratio_40_median_mi_eq",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "% of population living in households with income below 40% of the median income.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "5;10;15;20;25;30",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below 50% of median (before tax)",
                    "slug": "headcount_ratio_50_median_mi_eq",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "% of population living in households with income below 50% of the median income.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "5;10;15;20;25;30",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below 60% of median (before tax)",
                    "slug": "headcount_ratio_60_median_mi_eq",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "% of population living in households with income below 60% of the median income.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "5;10;15;20;25;30",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below 40% of median (before tax)",
                    "slug": "headcount_40_median_mi_eq",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Number of people living in households with income below 40% of the median income.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below 50% of median (before tax)",
                    "slug": "headcount_50_median_mi_eq",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Number of people living in households with income below 50% of the median income.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below 60% of median (before tax)",
                    "slug": "headcount_60_median_mi_eq",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Number of people living in households with income below 60% of the median income.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - 40% of median (before tax)",
                    "slug": "total_shortfall_40_median_mi_eq",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The total shortfall from a poverty line of 40% of the median income. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                },
                {
                    "name": "Total shortfall - 50% of median (before tax)",
                    "slug": "total_shortfall_50_median_mi_eq",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The total shortfall from a poverty line of 50% of the median income. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleEqualSizeBins": "true",
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                },
                {
                    "name": "Total shortfall - 60% of median (before tax)",
                    "slug": "total_shortfall_60_median_mi_eq",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The total shortfall from a poverty line of 60% of the median income. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleEqualSizeBins": "true",
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                },
                {
                    "name": "Average shortfall - 40% of median (before tax)",
                    "slug": "avg_shortfall_40_median_mi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of of 40% of the median income (averaged across the population in poverty).\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ 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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "1000;2000;3000;4000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
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                {
                    "name": "Average shortfall - 50% of median (before tax)",
                    "slug": "avg_shortfall_50_median_mi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of of 50% of the median income (averaged across the population in poverty).\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ 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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleNumericBins": "1000;2000;3000;4000;5000",
                    "colorScaleEqualSizeBins": "true",
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                },
                {
                    "name": "Average shortfall - 60% of median (before tax)",
                    "slug": "avg_shortfall_60_median_mi_eq",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of of 60% of the median income (averaged across the population in poverty).\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ 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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleNumericBins": "1000;2000;3000;4000;5000",
                    "colorScaleEqualSizeBins": "true",
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                },
                {
                    "name": "Average shortfall - 40% of median (before tax)",
                    "slug": "avg_shortfall_40_median_mi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_40_median_mi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of of 40% of the median income (averaged across the population in poverty).\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ 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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "1;2;5;10;20;20.0001",
                    "colorScaleEqualSizeBins": "true",
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                },
                {
                    "name": "Average shortfall - 50% of median (before tax)",
                    "slug": "avg_shortfall_50_median_mi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_50_median_mi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of of 50% of the median income (averaged across the population in poverty).\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ 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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleNumericBins": "1;2;5;10;20;20.0001",
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                {
                    "name": "Average shortfall - 60% of median (before tax)",
                    "slug": "avg_shortfall_60_median_mi_eq_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_60_median_mi_eq 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of of 60% of the median income (averaged across the population in poverty).\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ 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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "1;2;5;10;20;20.0001",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - 40% of median (before tax)",
                    "slug": "income_gap_ratio_40_median_mi_eq",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "\"The average shortfall from a poverty line of of 40% of the median income (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.\"",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "5;10;15;20;25;30;35;40",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - 50% of median (before tax)",
                    "slug": "income_gap_ratio_50_median_mi_eq",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "\"The average shortfall from a poverty line of of 50% of the median income (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.\"",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "5;10;15;20;25;30;35;40",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - 60% of median (before tax)",
                    "slug": "income_gap_ratio_60_median_mi_eq",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "\"The average shortfall from a poverty line of of 60% of the median income (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.\"",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "5;10;15;20;25;30;35;40",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - 40% of median (before tax)",
                    "slug": "poverty_gap_index_40_median_mi_eq",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The poverty gap index calculated at a poverty line of 40% of the median income. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "2;4;6;8;10;12",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - 50% of median (before tax)",
                    "slug": "poverty_gap_index_50_median_mi_eq",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The poverty gap index calculated at a poverty line of 50% of the median income. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleNumericBins": "2;4;6;8;10;12",
                    "colorScaleEqualSizeBins": "true",
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                },
                {
                    "name": "Poverty gap index - 60% of median (before tax)",
                    "slug": "poverty_gap_index_60_median_mi_eq",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The poverty gap index calculated at a poverty line of 60% of the median income. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "2;4;6;8;10;12",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below $1 a day (before tax)",
                    "slug": "headcount_ratio_mi_pc_100",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "% of population living in households with income below $1 a day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "3;10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below $2 a day (before tax)",
                    "slug": "headcount_ratio_mi_pc_200",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "% of population living in households with income below $2 a day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "3;10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below $5 a day (before tax)",
                    "slug": "headcount_ratio_mi_pc_500",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "% of population living in households with income below $5 a day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleNumericBins": "3;10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below $10 a day (before tax)",
                    "slug": "headcount_ratio_mi_pc_1000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "% of population living in households with income below $10 a day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleNumericBins": "3;10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below $20 a day (before tax)",
                    "slug": "headcount_ratio_mi_pc_2000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "% of population living in households with income below $20 a day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleNumericBins": "3;10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below $30 a day (before tax)",
                    "slug": "headcount_ratio_mi_pc_3000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "% of population living in households with income below $30 a day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "3;10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below $40 a day (before tax)",
                    "slug": "headcount_ratio_mi_pc_4000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "% of population living in households with income below $40 a day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "3;10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below $1 a day (before tax)",
                    "slug": "headcount_mi_pc_100",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Number of people living in households with income below $1 a day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Reds",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below $2 a day (before tax)",
                    "slug": "headcount_mi_pc_200",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Number of people living in households with income below $2 a day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below $5 a day (before tax)",
                    "slug": "headcount_mi_pc_500",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Number of people living in households with income below $5 a day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Reds",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below $10 a day (before tax)",
                    "slug": "headcount_mi_pc_1000",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Number of people living in households with income below $10 a day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below $20 a day (before tax)",
                    "slug": "headcount_mi_pc_2000",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Number of people living in households with income below $20 a day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Reds",
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                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below $30 a day (before tax)",
                    "slug": "headcount_mi_pc_3000",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Number of people living in households with income below $30 a day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below $40 a day (before tax)",
                    "slug": "headcount_mi_pc_4000",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Number of people living in households with income below $40 a day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                },
                {
                    "name": "Total shortfall - $1 a day (before tax)",
                    "slug": "total_shortfall_mi_pc_100",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The total shortfall from a poverty line of $1 a day. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Oranges",
                    "colorScaleNumericBins": "1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $2 a day (before tax)",
                    "slug": "total_shortfall_mi_pc_200",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The total shortfall from a poverty line of $2 a day. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleNumericBins": "1000000;3000000;10000000;30000000;100000000;300000000;1000000000;3000000000;10000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $5 a day (before tax)",
                    "slug": "total_shortfall_mi_pc_500",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The total shortfall from a poverty line of $5 a day. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Oranges",
                    "colorScaleNumericBins": "100000000;300000000;1000000000;3000000000;10000000000;30000000000;100000000000;300000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $10 a day (before tax)",
                    "slug": "total_shortfall_mi_pc_1000",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The total shortfall from a poverty line of $10 a day. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleNumericBins": "1000000000;3000000000;10000000000;30000000000;100000000000;300000000000;1000000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $20 a day (before tax)",
                    "slug": "total_shortfall_mi_pc_2000",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The total shortfall from a poverty line of $20 a day. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $30 a day (before tax)",
                    "slug": "total_shortfall_mi_pc_3000",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The total shortfall from a poverty line of $30 a day. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                },
                {
                    "name": "Total shortfall - $40 a day (before tax)",
                    "slug": "total_shortfall_mi_pc_4000",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The total shortfall from a poverty line of $40 a day. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $1 a day (before tax)",
                    "slug": "avg_shortfall_mi_pc_100",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $1 (averaged across the population in poverty).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "0.2;0.4;0.6;0.8;1",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $2 a day (before tax)",
                    "slug": "avg_shortfall_mi_pc_200",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $2 (averaged across the population in poverty).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "0.2;0.4;0.6;0.8;1;1.2;1.4;1.6;1.8;2",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $5 a day (before tax)",
                    "slug": "avg_shortfall_mi_pc_500",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $5 (averaged across the population in poverty).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "0.5;1;1.5;2;2.5;3;3.5;4;4.5;5",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $10 a day (before tax)",
                    "slug": "avg_shortfall_mi_pc_1000",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $10 (averaged across the population in poverty).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "2;4;6;8;10",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $20 a day (before tax)",
                    "slug": "avg_shortfall_mi_pc_2000",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $20 (averaged across the population in poverty).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "3;6;9;12;15;18;21",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $30 a day (before tax)",
                    "slug": "avg_shortfall_mi_pc_3000",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $30 (averaged across the population in poverty).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "5;10;15;20;25;30",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $40 a day (before tax)",
                    "slug": "avg_shortfall_mi_pc_4000",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $40 (averaged across the population in poverty).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "5;10;15;20;25;30;35;40",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $1 a day (before tax)",
                    "slug": "avg_shortfall_mi_pc_100_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_mi_pc_100 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $1 (averaged across the population in poverty).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "0.2;0.4;0.6;0.8;1",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $2 a day (before tax)",
                    "slug": "avg_shortfall_mi_pc_200_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_mi_pc_200 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $2 (averaged across the population in poverty).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "0.2;0.4;0.6;0.8;1;1.2;1.4;1.6;1.8;2",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $5 a day (before tax)",
                    "slug": "avg_shortfall_mi_pc_500_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_mi_pc_500 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $5 (averaged across the population in poverty).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "0.5;1;1.5;2;2.5;3;3.5;4;4.5;5",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $10 a day (before tax)",
                    "slug": "avg_shortfall_mi_pc_1000_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_mi_pc_1000 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $10 (averaged across the population in poverty).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleNumericBins": "2;4;6;8;10",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $20 a day (before tax)",
                    "slug": "avg_shortfall_mi_pc_2000_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_mi_pc_2000 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $20 (averaged across the population in poverty).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "3;6;9;12;15;18;21",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $30 a day (before tax)",
                    "slug": "avg_shortfall_mi_pc_3000_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_mi_pc_3000 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $30 (averaged across the population in poverty).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "5;10;15;20;25;30",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $40 a day (before tax)",
                    "slug": "avg_shortfall_mi_pc_4000_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_mi_pc_4000 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of $40 (averaged across the population in poverty).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "5;10;15;20;25;30;35;40",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - $1 a day (before tax)",
                    "slug": "income_gap_ratio_mi_pc_100",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "\"The average shortfall from a poverty line of $1 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.\"",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrRd",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - $2 a day (before tax)",
                    "slug": "income_gap_ratio_mi_pc_200",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "\"The average shortfall from a poverty line of $2 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.\"",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrRd",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - $5 a day (before tax)",
                    "slug": "income_gap_ratio_mi_pc_500",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "\"The average shortfall from a poverty line of $5 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.\"",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrRd",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - $10 a day (before tax)",
                    "slug": "income_gap_ratio_mi_pc_1000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "\"The average shortfall from a poverty line of $10 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.\"",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrRd",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - $20 a day (before tax)",
                    "slug": "income_gap_ratio_mi_pc_2000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "\"The average shortfall from a poverty line of $20 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.\"",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrRd",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - $30 a day (before tax)",
                    "slug": "income_gap_ratio_mi_pc_3000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "\"The average shortfall from a poverty line of $30 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.\"",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
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                },
                {
                    "name": "Income gap ratio - $40 a day (before tax)",
                    "slug": "income_gap_ratio_mi_pc_4000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "\"The average shortfall from a poverty line of $40 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.\"",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrRd",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $1 a day (before tax)",
                    "slug": "poverty_gap_index_mi_pc_100",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The poverty gap index calculated at a poverty line of $1 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleNumericBins": "2;4;6;8;10;12;14;16",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $2 a day (before tax)",
                    "slug": "poverty_gap_index_mi_pc_200",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The poverty gap index calculated at a poverty line of $2 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "RdPu",
                    "colorScaleNumericBins": "2;4;6;8;10;12;14;16;18;20",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $5 a day (before tax)",
                    "slug": "poverty_gap_index_mi_pc_500",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The poverty gap index calculated at a poverty line of $5 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "RdPu",
                    "colorScaleNumericBins": "4;8;12;16;20;14;28",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $10 a day (before tax)",
                    "slug": "poverty_gap_index_mi_pc_1000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The poverty gap index calculated at a poverty line of $10 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "RdPu",
                    "colorScaleNumericBins": "5;10;15;20;25;35;40",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $20 a day (before tax)",
                    "slug": "poverty_gap_index_mi_pc_2000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The poverty gap index calculated at a poverty line of $20 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                {
                    "name": "Poverty gap index - $30 a day (before tax)",
                    "slug": "poverty_gap_index_mi_pc_3000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The poverty gap index calculated at a poverty line of $30 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "RdPu",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $40 a day (before tax)",
                    "slug": "poverty_gap_index_mi_pc_4000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The poverty gap index calculated at a poverty line of $40 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "RdPu",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below 40% of median (before tax)",
                    "slug": "headcount_ratio_40_median_mi_pc",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "% of population living in households with income below 40% of the median income.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "5;10;15;20;25;30",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below 50% of median (before tax)",
                    "slug": "headcount_ratio_50_median_mi_pc",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "% of population living in households with income below 50% of the median income.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "5;10;15;20;25;30",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below 60% of median (before tax)",
                    "slug": "headcount_ratio_60_median_mi_pc",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "% of population living in households with income below 60% of the median income.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "5;10;15;20;25;30",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below 40% of median (before tax)",
                    "slug": "headcount_40_median_mi_pc",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Number of people living in households with income below 40% of the median income.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below 50% of median (before tax)",
                    "slug": "headcount_50_median_mi_pc",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Number of people living in households with income below 50% of the median income.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below 60% of median (before tax)",
                    "slug": "headcount_60_median_mi_pc",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "Number of people living in households with income below 60% of the median income.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - 40% of median (before tax)",
                    "slug": "total_shortfall_40_median_mi_pc",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The total shortfall from a poverty line of 40% of the median income. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "100000000;300000000;1000000000;3000000000;10000000000;30000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - 50% of median (before tax)",
                    "slug": "total_shortfall_50_median_mi_pc",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The total shortfall from a poverty line of 50% of the median income. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - 60% of median (before tax)",
                    "slug": "total_shortfall_60_median_mi_pc",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The total shortfall from a poverty line of 60% of the median income. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                },
                {
                    "name": "Average shortfall - 40% of median (before tax)",
                    "slug": "avg_shortfall_40_median_mi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of of 40% of the median income (averaged across the population in poverty).\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ 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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleNumericBins": "1000;2000;3000;4000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - 50% of median (before tax)",
                    "slug": "avg_shortfall_50_median_mi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of of 50% of the median income (averaged across the population in poverty).\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ 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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                {
                    "name": "Average shortfall - 60% of median (before tax)",
                    "slug": "avg_shortfall_60_median_mi_pc",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of of 60% of the median income (averaged across the population in poverty).\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ 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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "1000;2000;3000;4000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - 40% of median (before tax)",
                    "slug": "avg_shortfall_40_median_mi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_40_median_mi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of of 40% of the median income (averaged across the population in poverty).\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ 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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "1;2;5;10;20;20.0001",
                    "colorScaleEqualSizeBins": "true",
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                {
                    "name": "Average shortfall - 50% of median (before tax)",
                    "slug": "avg_shortfall_50_median_mi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_50_median_mi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of of 50% of the median income (averaged across the population in poverty).\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ 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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleNumericBins": "1;2;5;10;20;20.0001",
                    "colorScaleEqualSizeBins": "true",
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                {
                    "name": "Average shortfall - 60% of median (before tax)",
                    "slug": "avg_shortfall_60_median_mi_pc_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_60_median_mi_pc 0.00274",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The average shortfall from a poverty line of of 60% of the median income (averaged across the population in poverty).\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nWe create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\\n\\nWe obtain after tax income by using the disposable household income variable (`dhi`).\\n\\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\\n\\nWe convert income data from local currency into international-$ 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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "1;2;5;10;20;20.0001",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - 40% of median (before tax)",
                    "slug": "income_gap_ratio_40_median_mi_pc",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "\"The average shortfall from a poverty line of of 40% of the median income (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.\"",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "colorScaleNumericBins": "5;10;15;20;25;30;35;40",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - 50% of median (before tax)",
                    "slug": "income_gap_ratio_50_median_mi_pc",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "\"The average shortfall from a poverty line of of 50% of the median income (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.\"",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                },
                {
                    "name": "Income gap ratio - 60% of median (before tax)",
                    "slug": "income_gap_ratio_60_median_mi_pc",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "\"The average shortfall from a poverty line of of 60% of the median income (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.\"",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                {
                    "name": "Poverty gap index - 40% of median (before tax)",
                    "slug": "poverty_gap_index_40_median_mi_pc",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The poverty gap index calculated at a poverty line of 40% of the median income. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                {
                    "name": "Poverty gap index - 50% of median (before tax)",
                    "slug": "poverty_gap_index_50_median_mi_pc",
                    "type": "Numeric",
                    "unit": "%",
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                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The poverty gap index calculated at a poverty line of 50% of the median income. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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                    "name": "Poverty gap index - 60% of median (before tax)",
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                    "sourceLink": "https://www.lisdatacenter.org/our-data/lis-database/",
                    "sourceName": "Luxembourg Income Study (2024)",
                    "description": "The poverty gap index calculated at a poverty line of 60% of the median income. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nThis is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\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\\nWe obtain poverty indicators by using [Stata\u2019s povdeco function](https://ideas.repec.org/c/boc/bocode/s366004.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt). The function generates FGT(0) and FGT(1), headcount ratio and poverty gap index. After extraction, we do further data processing steps to estimate other poverty indicators using these values, population and poverty lines for absolute and relative poverty.",
                    "dataPublishedBy": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; June 2024). Luxembourg: LIS.",
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