explorers: poverty-comparison

This data as json

slug	isPublished	config	createdAt	updatedAt
poverty-comparison	1	{ "blocks": [ { "args": [], "type": "graphers", "block": [ { "tab": "chart", "note": "This data is adjusted for inflation and for differences in the cost of living between countries. This data is expressed in international-$ at 2017 prices.", "title": "Poverty: Share of population living on less than $1 a day", "ySlugs": "headcount_ratio_100 headcount_ratio_dhi_pc_100", "subtitle": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita.", "yAxisMin": "0", "hasMapTab": "false", "tableSlug": "poverty_inequality", "mapTargetTime": "0", "Indicator Dropdown": "Share in poverty", "Poverty line Dropdown": "$1 per day", "selectedFacetStrategy": "entity" }, { "tab": "chart", "note": "This data is adjusted for inflation and for differences in the cost of living between countries. This data is expressed in international-$ at 2017 prices.", "title": "Poverty: Number of people living on less than $1 a day", "ySlugs": "headcount_100 headcount_dhi_pc_100", "subtitle": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita.", "yAxisMin": "0", "hasMapTab": "false", "tableSlug": "poverty_inequality", "mapTargetTime": "0", "Indicator Dropdown": "Number in poverty", "Poverty line Dropdown": "$1 per day", "selectedFacetStrategy": "entity" }, { "tab": "chart", "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. 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This data is expressed in international-$ at 2017 prices.", "title": "Share of population living in extreme poverty", "ySlugs": "headcount_ratio_215 headcount_ratio_dhi_pc_215", "subtitle": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita.", "yAxisMin": "0", "hasMapTab": "false", "tableSlug": "poverty_inequality", "defaultView": "true", "mapTargetTime": "0", "Indicator Dropdown": "Share in poverty", "Poverty line Dropdown": "$2.15 per day: International Poverty Line", "selectedFacetStrategy": "entity" }, { "tab": "chart", "note": "Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjusted for inflation and for differences in the cost of living between countries. 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This data is expressed in international-$ at 2017 prices.", "title": "Total shortfall from extreme poverty", "ySlugs": "total_shortfall_215_year total_shortfall_dhi_pc_215", "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in extreme poverty up to the International Poverty Line of $2.15 a day. This data is adjusted for inflation and for differences in the cost of living between countries.", "yAxisMin": "0", "hasMapTab": "false", "tableSlug": "poverty_inequality", "mapTargetTime": "0", "Indicator Dropdown": "Total shortfall from poverty line", "Poverty line Dropdown": "$2.15 per day: International Poverty Line", "selectedFacetStrategy": "entity" }, { "tab": "chart", "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. 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Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.", "title": "Poverty gap index at $3.65 a day", "ySlugs": "poverty_gap_index_365 poverty_gap_index_dhi_pc_365", "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. 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World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleNumericMinValue": "0" }, { "name": "Year", "slug": "year", "type": "Year", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleNumericMinValue": "0" }, { "name": "Share below $1 a day (PIP data)", "slug": "headcount_ratio_100", "type": "Numeric", "unit": "%", "shortUnit": "%", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "% of population living in households with income or consumption below $1 a day.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "OrRd", "colorScaleNumericBins": "3;10;20;30;40;50;60;70;80;90;100", "colorScaleNumericMinValue": "0" }, { "name": "Share below $2.15 a day (PIP data)", "slug": "headcount_ratio_215", "type": "Numeric", "unit": "%", "shortUnit": "%", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "% of population living in households with income or consumption below $2.15 a day.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "OrRd", "colorScaleNumericBins": "3;10;20;30;40;50;60;70;80;90;100", "colorScaleNumericMinValue": "0" }, { "name": "Share below $3.65 a day (PIP data)", "slug": "headcount_ratio_365", "type": "Numeric", "unit": "%", "shortUnit": "%", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "% of population living in households with income or consumption below $3.65 a day.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "OrRd", "colorScaleNumericBins": "3;10;20;30;40;50;60;70;80;90;100", "colorScaleNumericMinValue": "0" }, { "name": "Share below $6.85 a day (PIP data)", "slug": "headcount_ratio_685", "type": "Numeric", "unit": "%", "shortUnit": "%", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "% of population living in households with income or consumption below $6.85 a day.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "OrRd", "colorScaleNumericBins": "3;10;20;30;40;50;60;70;80;90;100", "colorScaleNumericMinValue": "0" }, { "name": "Share below $10 a day (PIP data)", "slug": "headcount_ratio_1000", "type": "Numeric", "unit": "%", "shortUnit": "%", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "% of population living in households with income or consumption below $10 a day.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "OrRd", "colorScaleNumericBins": "3;10;20;30;40;50;60;70;80;90;100", "colorScaleNumericMinValue": "0" }, { "name": "Share below $20 a day (PIP data)", "slug": "headcount_ratio_2000", "type": "Numeric", "unit": "%", "shortUnit": "%", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "% of population living in households with income or consumption below $20 a day.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "OrRd", "colorScaleNumericBins": "3;10;20;30;40;50;60;70;80;90;100", "colorScaleNumericMinValue": "0" }, { "name": "Share below $30 a day (PIP data)", "slug": "headcount_ratio_3000", "type": "Numeric", "unit": "%", "shortUnit": "%", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "% of population living in households with income or consumption below $30 a day.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "OrRd", "colorScaleNumericBins": "3;10;20;30;40;50;60;70;80;90;100", "colorScaleNumericMinValue": "0" }, { "name": "Share below $40 a day (PIP data)", "slug": "headcount_ratio_4000", "type": "Numeric", "unit": "%", "shortUnit": "%", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "% of population living in households with income or consumption below $40 a day.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "OrRd", "colorScaleNumericBins": "3;10;20;30;40;50;60;70;80;90;100", "colorScaleNumericMinValue": "0" }, { "name": "Number below $1 a day (PIP data)", "slug": "headcount_100", "type": "Numeric", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "Number of people living in households with income or consumption per person below $1 a day.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "Reds", "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001", "colorScaleNumericMinValue": "0" }, { "name": "Number below $2.15 a day (PIP data)", "slug": "headcount_215", "type": "Numeric", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "Number of people living in households with income or consumption per person below $2.15 a day.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "Reds", "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001", "colorScaleNumericMinValue": "0" }, { "name": "Number below $3.65 a day (PIP data)", "slug": "headcount_365", "type": "Numeric", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "Number of people living in households with income or consumption per person below $3.65 a day.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "Reds", "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001", "colorScaleNumericMinValue": "0" }, { "name": "Number below $6.85 a day (PIP data)", "slug": "headcount_685", "type": "Numeric", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "Number of people living in households with income or consumption per person below $6.85 a day.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "Reds", "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001", "colorScaleNumericMinValue": "0" }, { "name": "Number below $10 a day (PIP data)", "slug": "headcount_1000", "type": "Numeric", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "Number of people living in households with income or consumption per person below $10 a day.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "Reds", "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001", "colorScaleNumericMinValue": "0" }, { "name": "Number below $20 a day (PIP data)", "slug": "headcount_2000", "type": "Numeric", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "Number of people living in households with income or consumption per person below $20 a day.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "Reds", "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001", "colorScaleNumericMinValue": "0" }, { "name": "Number below $30 a day (PIP data)", "slug": "headcount_3000", "type": "Numeric", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "Number of people living in households with income or consumption per person below $30 a day.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "Reds", "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001", "colorScaleNumericMinValue": "0" }, { "name": "Number below $40 a day (PIP data)", "slug": "headcount_4000", "type": "Numeric", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "Number of people living in households with income or consumption per person below $40 a day.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "Reds", "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001", "colorScaleNumericMinValue": "0" }, { "name": "Total daily shortfall - $1 a day (PIP data)", "slug": "total_shortfall_100", "type": "Numeric", "unit": "international-$ in 2017 prices", "shortUnit": "$", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The total shortfall from a poverty line of $1 a day. This is the amount of money that would be theoretically needed to lift the income or consumption of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "Oranges", "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001", "colorScaleNumericMinValue": "0" }, { "name": "Total daily shortfall - $2.15 a day (PIP data)", "slug": "total_shortfall_215", "type": "Numeric", "unit": "international-$ in 2017 prices", "shortUnit": "$", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The total shortfall from a poverty line of $2.15 a day. This is the amount of money that would be theoretically needed to lift the income or consumption of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "Oranges", "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001", "colorScaleNumericMinValue": "0" }, { "name": "Total daily shortfall - $3.65 a day (PIP data)", "slug": "total_shortfall_365", "type": "Numeric", "unit": "international-$ in 2017 prices", "shortUnit": "$", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The total shortfall from a poverty line of $3.65 a day. This is the amount of money that would be theoretically needed to lift the income or consumption of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "Oranges", "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001", "colorScaleNumericMinValue": "0" }, { "name": "Total daily shortfall - $6.85 a day (PIP data)", "slug": "total_shortfall_685", "type": "Numeric", "unit": "international-$ in 2017 prices", "shortUnit": "$", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The total shortfall from a poverty line of $6.85 a day. This is the amount of money that would be theoretically needed to lift the income or consumption of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "Oranges", "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001", "colorScaleNumericMinValue": "0" }, { "name": "Total daily shortfall - $10 a day (PIP data)", "slug": "total_shortfall_1000", "type": "Numeric", "unit": "international-$ in 2017 prices", "shortUnit": "$", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The total shortfall from a poverty line of $10 a day. This is the amount of money that would be theoretically needed to lift the income or consumption of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "Oranges", "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001", "colorScaleNumericMinValue": "0" }, { "name": "Total daily shortfall - $20 a day (PIP data)", "slug": "total_shortfall_2000", "type": "Numeric", "unit": "international-$ in 2017 prices", "shortUnit": "$", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The total shortfall from a poverty line of $20 a day. This is the amount of money that would be theoretically needed to lift the income or consumption of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "Oranges", "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001", "colorScaleNumericMinValue": "0" }, { "name": "Total daily shortfall - $30 a day (PIP data)", "slug": "total_shortfall_3000", "type": "Numeric", "unit": "international-$ in 2017 prices", "shortUnit": "$", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The total shortfall from a poverty line of $30 a day. This is the amount of money that would be theoretically needed to lift the income or consumption of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "Oranges", "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001", "colorScaleNumericMinValue": "0" }, { "name": "Total daily shortfall - $40 a day (PIP data)", "slug": "total_shortfall_4000", "type": "Numeric", "unit": "international-$ in 2017 prices", "shortUnit": "$", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The total shortfall from a poverty line of $40 a day. This is the amount of money that would be theoretically needed to lift the income or consumption of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "Oranges", "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001", "colorScaleNumericMinValue": "0" }, { "name": "Total shortfall - $1 a day (PIP data)", "slug": "total_shortfall_100_year", "type": "Numeric", "unit": "international-$ in 2017 prices", "shortUnit": "$", "tolerance": "5", "transform": "multiplyBy total_shortfall_100 365", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The total shortfall from a poverty line of $1 a day. This is the amount of money that would be theoretically needed to lift the income or consumption of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "Oranges", "colorScaleNumericBins": "1000000;3000000;10000000;30000000;100000000;300000000;1000000000", "colorScaleNumericMinValue": "0" }, { "name": "Total shortfall - $2.15 a day (PIP data)", "slug": "total_shortfall_215_year", "type": "Numeric", "unit": "international-$ in 2017 prices", "shortUnit": "$", "tolerance": "5", "transform": "multiplyBy total_shortfall_215 365", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The total shortfall from a poverty line of $2.15 a day. This is the amount of money that would be theoretically needed to lift the income or consumption of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "Oranges", "colorScaleNumericBins": "1000000;3000000;10000000;30000000;100000000;300000000;1000000000;3000000000;10000000000", "colorScaleNumericMinValue": "0" }, { "name": "Total shortfall - $3.65 a day (PIP data)", "slug": "total_shortfall_365_year", "type": "Numeric", "unit": "international-$ in 2017 prices", "shortUnit": "$", "tolerance": "5", "transform": "multiplyBy total_shortfall_365 365", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The total shortfall from a poverty line of $3.65 a day. This is the amount of money that would be theoretically needed to lift the income or consumption of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "Oranges", "colorScaleNumericBins": "10000000;30000000;100000000;300000000;1000000000;3000000000;10000000000;30000000000", "colorScaleNumericMinValue": "0" }, { "name": "Total shortfall - $6.85 a day (PIP data)", "slug": "total_shortfall_685_year", "type": "Numeric", "unit": "international-$ in 2017 prices", "shortUnit": "$", "tolerance": "5", "transform": "multiplyBy total_shortfall_685 365", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The total shortfall from a poverty line of $6.85 a day. This is the amount of money that would be theoretically needed to lift the income or consumption of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "Oranges", "colorScaleNumericBins": "100000000;300000000;1000000000;3000000000;10000000000;30000000000;100000000000;300000000000", "colorScaleNumericMinValue": "0" }, { "name": "Total shortfall - $10 a day (PIP data)", "slug": "total_shortfall_1000_year", "type": "Numeric", "unit": "international-$ in 2017 prices", "shortUnit": "$", "tolerance": "5", "transform": "multiplyBy total_shortfall_1000 365", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The total shortfall from a poverty line of $10 a day. This is the amount of money that would be theoretically needed to lift the income or consumption of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "Oranges", "colorScaleNumericBins": "1000000000;3000000000;10000000000;30000000000;100000000000;300000000000;1000000000000", "colorScaleNumericMinValue": "0" }, { "name": "Total shortfall - $20 a day (PIP data)", "slug": "total_shortfall_2000_year", "type": "Numeric", "unit": "international-$ in 2017 prices", "shortUnit": "$", "tolerance": "5", "transform": "multiplyBy total_shortfall_2000 365", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The total shortfall from a poverty line of $20 a day. This is the amount of money that would be theoretically needed to lift the income or consumption of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "Oranges", "colorScaleNumericBins": "10000000000;30000000000;100000000000;300000000000;1000000000000", "colorScaleNumericMinValue": "0" }, { "name": "Total shortfall - $30 a day (PIP data)", "slug": "total_shortfall_3000_year", "type": "Numeric", "unit": "international-$ in 2017 prices", "shortUnit": "$", "tolerance": "5", "transform": "multiplyBy total_shortfall_3000 365", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The total shortfall from a poverty line of $30 a day. This is the amount of money that would be theoretically needed to lift the income or consumption of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "Oranges", "colorScaleNumericBins": "10000000000;30000000000;100000000000;300000000000;1000000000000;3000000000000", "colorScaleNumericMinValue": "0" }, { "name": "Total shortfall - $40 a day (PIP data)", "slug": "total_shortfall_4000_year", "type": "Numeric", "unit": "international-$ in 2017 prices", "shortUnit": "$", "tolerance": "5", "transform": "multiplyBy total_shortfall_4000 365", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The total shortfall from a poverty line of $40 a day. This is the amount of money that would be theoretically needed to lift the income or consumption of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "Oranges", "colorScaleNumericBins": "10000000000;30000000000;100000000000;300000000000;1000000000000;3000000000000;10000000000000;30000000000000", "colorScaleNumericMinValue": "0" }, { "name": "Average shortfall - $1 a day (PIP data)", "slug": "avg_shortfall_100", "type": "Numeric", "unit": "international-$ in 2017 prices", "shortUnit": "$", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The average shortfall from a poverty line of $1 a day (averaged across the population in poverty).\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "Purples", "colorScaleNumericBins": "0.2;0.4;0.6;0.8;1", "colorScaleNumericMinValue": "0" }, { "name": "Average shortfall - $2.15 a day (PIP data)", "slug": "avg_shortfall_215", "type": "Numeric", "unit": "international-$ in 2017 prices", "shortUnit": "$", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The average shortfall from a poverty line of $2.15 a day (averaged across the population in poverty).\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "Purples", "colorScaleNumericBins": "0.3;0.6;0.9;1.2;1.5;1.8;2.1", "colorScaleNumericMinValue": "0" }, { "name": "Average shortfall - $3.65 a day (PIP data)", "slug": "avg_shortfall_365", "type": "Numeric", "unit": "international-$ in 2017 prices", "shortUnit": "$", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The average shortfall from a poverty line of $3.65 a day (averaged across the population in poverty).\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "Purples", "colorScaleNumericBins": "0.5;1;1.5;2;2.5;3;3.5", "colorScaleNumericMinValue": "0" }, { "name": "Average shortfall - $6.85 a day (PIP data)", "slug": "avg_shortfall_685", "type": "Numeric", "unit": "international-$ in 2017 prices", "shortUnit": "$", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The average shortfall from a poverty line of $6.85 a day (averaged across the population in poverty).\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "Purples", "colorScaleNumericBins": "1;2;3;4;5;6", "colorScaleNumericMinValue": "0" }, { "name": "Average shortfall - $10 a day (PIP data)", "slug": "avg_shortfall_1000", "type": "Numeric", "unit": "international-$ in 2017 prices", "shortUnit": "$", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The average shortfall from a poverty line of $10 a day (averaged across the population in poverty).\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "Purples", "colorScaleNumericBins": "2;4;6;8;10", "colorScaleNumericMinValue": "0" }, { "name": "Average shortfall - $20 a day (PIP data)", "slug": "avg_shortfall_2000", "type": "Numeric", "unit": "international-$ in 2017 prices", "shortUnit": "$", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The average shortfall from a poverty line of $20 a day (averaged across the population in poverty).\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "Purples", "colorScaleNumericBins": "3;6;9;12;15;18;21", "colorScaleNumericMinValue": "0" }, { "name": "Average shortfall - $30 a day (PIP data)", "slug": "avg_shortfall_3000", "type": "Numeric", "unit": "international-$ in 2017 prices", "shortUnit": "$", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The average shortfall from a poverty line of $30 a day (averaged across the population in poverty).\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "Purples", "colorScaleNumericBins": "5;10;15;20;25;30", "colorScaleNumericMinValue": "0" }, { "name": "Average shortfall - $40 a day (PIP data)", "slug": "avg_shortfall_4000", "type": "Numeric", "unit": "international-$ in 2017 prices", "shortUnit": "$", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The average shortfall from a poverty line of $40 a day (averaged across the population in poverty).\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "Purples", "colorScaleNumericBins": "5;10;15;20;25;30;35;40", "colorScaleNumericMinValue": "0" }, { "name": "Income gap ratio - $1 a day (PIP data)", "slug": "income_gap_ratio_100", "type": "Numeric", "unit": "%", "shortUnit": "%", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "\"The average shortfall from a poverty line of $1 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.\"", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "YlOrRd", "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100", "colorScaleNumericMinValue": "0" }, { "name": "Income gap ratio - $2.15 a day (PIP data)", "slug": "income_gap_ratio_215", "type": "Numeric", "unit": "%", "shortUnit": "%", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "\"The average shortfall from a poverty line of $2.15 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.\"", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "YlOrRd", "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100", "colorScaleNumericMinValue": "0" }, { "name": "Income gap ratio - $3.65 a day (PIP data)", "slug": "income_gap_ratio_365", "type": "Numeric", "unit": "%", "shortUnit": "%", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "\"The average shortfall from a poverty line of $3.65 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.\"", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "YlOrRd", "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100", "colorScaleNumericMinValue": "0" }, { "name": "Income gap ratio - $6.85 a day (PIP data)", "slug": "income_gap_ratio_685", "type": "Numeric", "unit": "%", "shortUnit": "%", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "\"The average shortfall from a poverty line of $6.85 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.\"", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "YlOrRd", "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100", "colorScaleNumericMinValue": "0" }, { "name": "Income gap ratio - $10 a day (PIP data)", "slug": "income_gap_ratio_1000", "type": "Numeric", "unit": "%", "shortUnit": "%", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "\"The average shortfall from a poverty line of $10 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.\"", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "YlOrRd", "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100", "colorScaleNumericMinValue": "0" }, { "name": "Income gap ratio - $20 a day (PIP data)", "slug": "income_gap_ratio_2000", "type": "Numeric", "unit": "%", "shortUnit": "%", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "\"The average shortfall from a poverty line of $20 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.\"", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "YlOrRd", "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100", "colorScaleNumericMinValue": "0" }, { "name": "Income gap ratio - $30 a day (PIP data)", "slug": "income_gap_ratio_3000", "type": "Numeric", "unit": "%", "shortUnit": "%", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "\"The average shortfall from a poverty line of $30 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.\"", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "YlOrRd", "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100", "colorScaleNumericMinValue": "0" }, { "name": "Income gap ratio - $40 a day (PIP data)", "slug": "income_gap_ratio_4000", "type": "Numeric", "unit": "%", "shortUnit": "%", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "\"The average shortfall from a poverty line of $40 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.\"", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "YlOrRd", "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100", "colorScaleNumericMinValue": "0" }, { "name": "Poverty gap index - $1 a day (PIP data)", "slug": "poverty_gap_index_100", "type": "Numeric", "unit": "%", "shortUnit": "%", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The poverty gap index calculated at a poverty line of $1 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "RdPu", "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100", "colorScaleNumericMinValue": "0" }, { "name": "Poverty gap index - $2.15 a day (PIP data)", "slug": "poverty_gap_index_215", "type": "Numeric", "unit": "%", "shortUnit": "%", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The poverty gap index calculated at a poverty line of $2.15 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "RdPu", "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100", "colorScaleNumericMinValue": "0" }, { "name": "Poverty gap index - $3.65 a day (PIP data)", "slug": "poverty_gap_index_365", "type": "Numeric", "unit": "%", "shortUnit": "%", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The poverty gap index calculated at a poverty line of $3.65 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "RdPu", "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100", "colorScaleNumericMinValue": "0" }, { "name": "Poverty gap index - $6.85 a day (PIP data)", "slug": "poverty_gap_index_685", "type": "Numeric", "unit": "%", "shortUnit": "%", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The poverty gap index calculated at a poverty line of $6.85 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "RdPu", "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100", "colorScaleNumericMinValue": "0" }, { "name": "Poverty gap index - $10 a day (PIP data)", "slug": "poverty_gap_index_1000", "type": "Numeric", "unit": "%", "shortUnit": "%", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The poverty gap index calculated at a poverty line of $10 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "RdPu", "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100", "colorScaleNumericMinValue": "0" }, { "name": "Poverty gap index - $20 a day (PIP data)", "slug": "poverty_gap_index_2000", "type": "Numeric", "unit": "%", "shortUnit": "%", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The poverty gap index calculated at a poverty line of $20 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "RdPu", "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100", "colorScaleNumericMinValue": "0" }, { "name": "Poverty gap index - $30 a day (PIP data)", "slug": "poverty_gap_index_3000", "type": "Numeric", "unit": "%", "shortUnit": "%", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The poverty gap index calculated at a poverty line of $30 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "RdPu", "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100", "colorScaleNumericMinValue": "0" }, { "name": "Poverty gap index - $40 a day (PIP data)", "slug": "poverty_gap_index_4000", "type": "Numeric", "unit": "%", "shortUnit": "%", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The poverty gap index calculated at a poverty line of $40 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "RdPu", "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100", "colorScaleNumericMinValue": "0" }, { "name": "Share below 40% of median (PIP data)", "slug": "headcount_ratio_40_median", "type": "Numeric", "unit": "%", "shortUnit": "%", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "% of population living in households with an income or consumption per person below 40% of the median.\\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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 40% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "5;10;15;20;25;30;30.0001", "colorScaleNumericMinValue": "0" }, { "name": "Share below 50% of median (PIP data)", "slug": "headcount_ratio_50_median", "type": "Numeric", "unit": "%", "shortUnit": "%", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "% of population living in households with an income or consumption per person below 50% of the median.\\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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 50% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "5;10;15;20;25;30;30.0001", "colorScaleNumericMinValue": "0" }, { "name": "Share below 60% of median (PIP data)", "slug": "headcount_ratio_60_median", "type": "Numeric", "unit": "%", "shortUnit": "%", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "% of population living in households with an income or consumption per person below 60% of the median.\\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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 60% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "5;10;15;20;25;30;30.0001", "colorScaleNumericMinValue": "0" }, { "name": "Number below 40% of median (PIP data)", "slug": "headcount_40_median", "type": "Numeric", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "Number of people living in households with an income or consumption per person below 40% of the median.\\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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 40% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001", "colorScaleNumericMinValue": "0" }, { "name": "Number below 50% of median (PIP data)", "slug": "headcount_50_median", "type": "Numeric", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "Number of people living in households with an income or consumption per person below 50% of the median.\\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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 50% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001", "colorScaleNumericMinValue": "0" }, { "name": "Number below 60% of median (PIP data)", "slug": "headcount_60_median", "type": "Numeric", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "Number of people living in households with an income or consumption per person below 60% of the median.\\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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 60% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001", "colorScaleNumericMinValue": "0" }, { "name": "Total daily shortfall - 40% of median (PIP data)", "slug": "total_shortfall_40_median", "type": "Numeric", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The total shortfall from a poverty line of 40% of the median income or consumption. This is the amount of money that would be theoretically needed to lift the income or consumption 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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 40% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001", "colorScaleNumericMinValue": "0" }, { "name": "Total daily shortfall - 50% of median (PIP data)", "slug": "total_shortfall_50_median", "type": "Numeric", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The total shortfall from a poverty line of 50% of the median income or consumption. This is the amount of money that would be theoretically needed to lift the income or consumption 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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 50% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001", "colorScaleNumericMinValue": "0" }, { "name": "Total daily shortfall - 60% of median (PIP data)", "slug": "total_shortfall_60_median", "type": "Numeric", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The total shortfall from a poverty line of 60% of the median income or consumption. This is the amount of money that would be theoretically needed to lift the income or consumption 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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 60% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001", "colorScaleNumericMinValue": "0" }, { "name": "Total shortfall - 40% of median (PIP data)", "slug": "total_shortfall_40_median_year", "type": "Numeric", "tolerance": "5", "transform": "multiplyBy total_shortfall_40_median 365", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The total shortfall from a poverty line of 40% of the median income or consumption. This is the amount of money that would be theoretically needed to lift the income or consumption 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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 40% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001", "colorScaleNumericMinValue": "0" }, { "name": "Total shortfall - 50% of median (PIP data)", "slug": "total_shortfall_50_median_year", "type": "Numeric", "tolerance": "5", "transform": "multiplyBy total_shortfall_50_median 365", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The total shortfall from a poverty line of 50% of the median income or consumption. This is the amount of money that would be theoretically needed to lift the income or consumption 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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 50% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001", "colorScaleNumericMinValue": "0" }, { "name": "Total shortfall - 60% of median (PIP data)", "slug": "total_shortfall_60_median_year", "type": "Numeric", "tolerance": "5", "transform": "multiplyBy total_shortfall_60_median 365", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The total shortfall from a poverty line of 60% of the median income or consumption. This is the amount of money that would be theoretically needed to lift the income or consumption 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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 60% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001", "colorScaleNumericMinValue": "0" }, { "name": "Average shortfall - 40% of median (PIP data)", "slug": "avg_shortfall_40_median", "type": "Numeric", "unit": "international-$ in 2017 prices", "shortUnit": "$", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The average shortfall from a poverty line of of 40% of the median income or consumption (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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 40% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "1;2;5;10;20;20.0001", "colorScaleNumericMinValue": "0" }, { "name": "Average shortfall - 50% of median (PIP data)", "slug": "avg_shortfall_50_median", "type": "Numeric", "unit": "international-$ in 2017 prices", "shortUnit": "$", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The average shortfall from a poverty line of of 50% of the median income or consumption (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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 50% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "1;2;5;10;20;20.0001", "colorScaleNumericMinValue": "0" }, { "name": "Average shortfall - 60% of median (PIP data)", "slug": "avg_shortfall_60_median", "type": "Numeric", "unit": "international-$ in 2017 prices", "shortUnit": "$", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The average shortfall from a poverty line of of 60% of the median income or consumption (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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 60% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "1;2;5;10;20;20.0001", "colorScaleNumericMinValue": "0" }, { "name": "Income gap ratio - 40% of median (PIP data)", "slug": "income_gap_ratio_40_median", "type": "Numeric", "unit": "%", "shortUnit": "%", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "\"The average shortfall from a poverty line of of 40% of the median income or consumption (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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 40% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.\"", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100", "colorScaleNumericMinValue": "0" }, { "name": "Income gap ratio - 50% of median (PIP data)", "slug": "income_gap_ratio_50_median", "type": "Numeric", "unit": "%", "shortUnit": "%", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "\"The average shortfall from a poverty line of of 50% of the median income or consumption (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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 50% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.\"", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100", "colorScaleNumericMinValue": "0" }, { "name": "Income gap ratio - 60% of median (PIP data)", "slug": "income_gap_ratio_60_median", "type": "Numeric", "unit": "%", "shortUnit": "%", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "\"The average shortfall from a poverty line of of 60% of the median income or consumption (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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 60% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.\"", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100", "colorScaleNumericMinValue": "0" }, { "name": "Poverty gap index - 40% of median (PIP data)", "slug": "poverty_gap_index_40_median", "type": "Numeric", "unit": "%", "shortUnit": "%", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The poverty gap index calculated at a poverty line of 40% of the median income or consumption. 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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 40% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "3;6;9;12;15;18;21", "colorScaleNumericMinValue": "0" }, { "name": "Poverty gap index - 50% of median (PIP data)", "slug": "poverty_gap_index_50_median", "type": "Numeric", "unit": "%", "shortUnit": "%", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The poverty gap index calculated at a poverty line of 50% of the median income or consumption. 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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 50% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "3;6;9;12;15;18;21", "colorScaleNumericMinValue": "0" }, { "name": "Poverty gap index - 60% of median (PIP data)", "slug": "poverty_gap_index_60_median", "type": "Numeric", "unit": "%", "shortUnit": "%", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The poverty gap index calculated at a poverty line of 60% of the median income or consumption. 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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 60% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.", "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "3;6;9;12;15;18;21", "colorScaleNumericMinValue": "0" }, { "name": "Share below $1 a day (LIS data)", "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 $2.15 a day (LIS data)", "slug": "headcount_ratio_dhi_pc_215", "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 $2.15 a day.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 $3.65 a day (LIS data)", "slug": "headcount_ratio_dhi_pc_365", "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 $3.65 a day.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 $6.85 a day (LIS data)", "slug": "headcount_ratio_dhi_pc_685", "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 $6.85 a day.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 (LIS data)", "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 (LIS data)", "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 (LIS data)", "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 (LIS data)", "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 (LIS data)", "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 $2.15 a day (LIS data)", "slug": "headcount_dhi_pc_215", "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 $2.15 a day.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 $3.65 a day (LIS data)", "slug": "headcount_dhi_pc_365", "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 $3.65 a day.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 $6.85 a day (LIS data)", "slug": "headcount_dhi_pc_685", "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 $6.85 a day.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 $10 a day (LIS data)", "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 (LIS data)", "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.", "colorScaleScheme": "Reds", "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Number below $30 a day (LIS data)", "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 (LIS data)", "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.", "colorScaleScheme": "Reds", "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Total shortfall - $1 a day (LIS data)", "slug": "total_shortfall_dhi_pc_100", "type": "Numeric", "unit": "international-$ 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 - $2.15 a day (LIS data)", "slug": "total_shortfall_dhi_pc_215", "type": "Numeric", "unit": "international-$ 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 $2.15 a day. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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;3000000000;10000000000", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Total shortfall - $3.65 a day (LIS data)", "slug": "total_shortfall_dhi_pc_365", "type": "Numeric", "unit": "international-$ 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 $3.65 a day. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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": "10000000;30000000;100000000;300000000;1000000000;3000000000;10000000000;30000000000", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Total shortfall - $6.85 a day (LIS data)", "slug": "total_shortfall_dhi_pc_685", "type": "Numeric", "unit": "international-$ 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 $6.85 a day. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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": "100000000;300000000;1000000000;3000000000;10000000000;30000000000;100000000000;300000000000", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Total shortfall - $10 a day (LIS data)", "slug": "total_shortfall_dhi_pc_1000", "type": "Numeric", "unit": "international-$ 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.", "colorScaleScheme": "Oranges", "colorScaleNumericBins": "1000000000;3000000000;10000000000;30000000000;100000000000;300000000000;1000000000000", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Total shortfall - $20 a day (LIS data)", "slug": "total_shortfall_dhi_pc_2000", "type": "Numeric", "unit": "international-$ 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.", "colorScaleScheme": "Oranges", "colorScaleNumericBins": "10000000000;30000000000;100000000000;300000000000;1000000000000", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Total shortfall - $30 a day (LIS data)", "slug": "total_shortfall_dhi_pc_3000", "type": "Numeric", "unit": "international-$ 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.", "colorScaleScheme": "Oranges", "colorScaleNumericBins": "10000000000;30000000000;100000000000;300000000000;1000000000000;3000000000000", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Total shortfall - $40 a day (LIS data)", "slug": "total_shortfall_dhi_pc_4000", "type": "Numeric", "unit": "international-$ 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.", "colorScaleScheme": "Oranges", "colorScaleNumericBins": "10000000000;30000000000;100000000000;300000000000;1000000000000;3000000000000;10000000000000;30000000000000", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Average yearly shortfall - $1 a day (LIS data)", "slug": "avg_shortfall_dhi_pc_100", "type": "Numeric", "unit": "international-$ 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 yearly shortfall - $2.15 a day (LIS data)", "slug": "avg_shortfall_dhi_pc_215", "type": "Numeric", "unit": "international-$ 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 $2.15 (averaged across the population in poverty).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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": "0.3;0.6;0.9;1.2;1.5;1.8;2.1", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Average yearly shortfall - $3.65 a day (LIS data)", "slug": "avg_shortfall_dhi_pc_365", "type": "Numeric", "unit": "international-$ 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 $3.65 (averaged across the population in poverty).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Average yearly shortfall - $6.85 a day (LIS data)", "slug": "avg_shortfall_dhi_pc_685", "type": "Numeric", "unit": "international-$ 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 $6.85 (averaged across the population in poverty).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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": "1;2;3;4;5;6", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Average yearly shortfall - $10 a day (LIS data)", "slug": "avg_shortfall_dhi_pc_1000", "type": "Numeric", "unit": "international-$ 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.", "colorScaleScheme": "Purples", "colorScaleNumericBins": "2;4;6;8;10", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Average yearly shortfall - $20 a day (LIS data)", "slug": "avg_shortfall_dhi_pc_2000", "type": "Numeric", "unit": "international-$ 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.", "colorScaleScheme": "Purples", "colorScaleNumericBins": "3;6;9;12;15;18;21", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Average yearly shortfall - $30 a day (LIS data)", "slug": "avg_shortfall_dhi_pc_3000", "type": "Numeric", "unit": "international-$ 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 yearly shortfall - $40 a day (LIS data)", "slug": "avg_shortfall_dhi_pc_4000", "type": "Numeric", "unit": "international-$ 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 - $1 a day (LIS data)", "slug": "avg_shortfall_dhi_pc_100_day", "type": "Numeric", "unit": "international-$ 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 - $2.15 a day (LIS data)", "slug": "avg_shortfall_dhi_pc_215_day", "type": "Numeric", "unit": "international-$ in 2017 prices", "shortUnit": "$", "tolerance": "5", "transform": "multiplyBy avg_shortfall_dhi_pc_215 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 $2.15 (averaged across the population in poverty).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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": "0.3;0.6;0.9;1.2;1.5;1.8;2.1", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Average shortfall - $3.65 a day (LIS data)", "slug": "avg_shortfall_dhi_pc_365_day", "type": "Numeric", "unit": "international-$ in 2017 prices", "shortUnit": "$", "tolerance": "5", "transform": "multiplyBy avg_shortfall_dhi_pc_365 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 $3.65 (averaged across the population in poverty).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Average shortfall - $6.85 a day (LIS data)", "slug": "avg_shortfall_dhi_pc_685_day", "type": "Numeric", "unit": "international-$ in 2017 prices", "shortUnit": "$", "tolerance": "5", "transform": "multiplyBy avg_shortfall_dhi_pc_685 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 $6.85 (averaged across the population in poverty).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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": "1;2;3;4;5;6", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Average shortfall - $10 a day (LIS data)", "slug": "avg_shortfall_dhi_pc_1000_day", "type": "Numeric", "unit": "international-$ 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 - $20 a day (LIS data)", "slug": "avg_shortfall_dhi_pc_2000_day", "type": "Numeric", "unit": "international-$ 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 - $30 a day (LIS data)", "slug": "avg_shortfall_dhi_pc_3000_day", "type": "Numeric", "unit": "international-$ 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 - $40 a day (LIS data)", "slug": "avg_shortfall_dhi_pc_4000_day", "type": "Numeric", "unit": "international-$ 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 (LIS data)", "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 - $2.15 a day (LIS data)", "slug": "income_gap_ratio_dhi_pc_215", "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 $2.15 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 - $3.65 a day (LIS data)", "slug": "income_gap_ratio_dhi_pc_365", "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 $3.65 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 - $6.85 a day (LIS data)", "slug": "income_gap_ratio_dhi_pc_685", "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 $6.85 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 (LIS data)", "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 (LIS data)", "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 (LIS data)", "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 (LIS data)", "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 (LIS data)", "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": "10;20;30;40;50;60", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Poverty gap index - $2.15 a day (LIS data)", "slug": "poverty_gap_index_dhi_pc_215", "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 $2.15 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Poverty gap index - $3.65 a day (LIS data)", "slug": "poverty_gap_index_dhi_pc_365", "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 $3.65 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Poverty gap index - $6.85 a day (LIS data)", "slug": "poverty_gap_index_dhi_pc_685", "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 $6.85 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Poverty gap index - $10 a day (LIS data)", "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": "10;20;30;40;50;60", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Poverty gap index - $20 a day (LIS data)", "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", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Poverty gap index - $30 a day (LIS data)", "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", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Poverty gap index - $40 a day (LIS data)", "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", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Share below 40% of median (LIS data)", "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 {welfare['welfare_type'][wel]} below {povlines_rel['percent'][pct]} of the median {welfare['welfare_type'][wel]}.\\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 (LIS data)", "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 {welfare['welfare_type'][wel]} below {povlines_rel['percent'][pct]} of the median {welfare['welfare_type'][wel]}.\\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 (LIS data)", "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 {welfare['welfare_type'][wel]} below {povlines_rel['percent'][pct]} of the median {welfare['welfare_type'][wel]}.\\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 (LIS data)", "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.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Number below 50% of median (LIS data)", "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.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Number below 60% of median (LIS data)", "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 (LIS data)", "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 (LIS data)", "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 (LIS data)", "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.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "100000000;300000000;1000000000;3000000000;10000000000;30000000000;100000000000", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Average yearly shortfall - 40% of median (LIS data)", "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 yearly shortfall - 50% of median (LIS data)", "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", "colorScaleNumericBins": "1000;2000;3000;4000;5000", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Average yearly shortfall - 60% of median (LIS data)", "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.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "1000;2000;3000;4000;5000", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Average shortfall - 40% of median (LIS data)", "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": "1000;2000;3000;4000;5000", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Average shortfall - 50% of median (LIS data)", "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": "1000;2000;3000;4000;5000", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Average shortfall - 60% of median (LIS data)", "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": "1000;2000;3000;4000;5000", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Income gap ratio - 40% of median (LIS data)", "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 (LIS data)", "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 (LIS data)", "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.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "5;10;15;20;25;30;35;40", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Poverty gap index - 40% of median (LIS data)", "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", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Poverty gap index - 50% of median (LIS data)", "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.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "2;4;6;8;10;12", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Poverty gap index - 60% of median (LIS data)", "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 (LIS data)", "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 $2.15 a day (LIS data)", "slug": "headcount_ratio_mi_pc_215", "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 $2.15 a day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 $3.65 a day (LIS data)", "slug": "headcount_ratio_mi_pc_365", "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 $3.65 a day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 $6.85 a day (LIS data)", "slug": "headcount_ratio_mi_pc_685", "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 $6.85 a day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 $10 a day (LIS data)", "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.", "colorScaleScheme": "OrRd", "colorScaleNumericBins": "3;10;20;30;40;50;60;70;80;90;100", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Share below $20 a day (LIS data)", "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.", "colorScaleScheme": "OrRd", "colorScaleNumericBins": "3;10;20;30;40;50;60;70;80;90;100", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Share below $30 a day (LIS data)", "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 (LIS data)", "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 (LIS data)", "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 $2.15 a day (LIS data)", "slug": "headcount_mi_pc_215", "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 $2.15 a day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 $3.65 a day (LIS data)", "slug": "headcount_mi_pc_365", "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 $3.65 a day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 $6.85 a day (LIS data)", "slug": "headcount_mi_pc_685", "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 $6.85 a day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 (LIS data)", "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.", "colorScaleScheme": "Reds", "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Number below $20 a day (LIS data)", "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", "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Number below $30 a day (LIS data)", "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.", "colorScaleScheme": "Reds", "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Number below $40 a day (LIS data)", "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.", "colorScaleScheme": "Reds", "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Total shortfall - $1 a day (LIS data)", "slug": "total_shortfall_mi_pc_100", "type": "Numeric", "unit": "international-$ 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 - $2.15 a day (LIS data)", "slug": "total_shortfall_mi_pc_215", "type": "Numeric", "unit": "international-$ 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 $2.15 a day. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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;3000000000;10000000000", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Total shortfall - $3.65 a day (LIS data)", "slug": "total_shortfall_mi_pc_365", "type": "Numeric", "unit": "international-$ 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 $3.65 a day. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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": "10000000;30000000;100000000;300000000;1000000000;3000000000;10000000000;30000000000", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Total shortfall - $6.85 a day (LIS data)", "slug": "total_shortfall_mi_pc_685", "type": "Numeric", "unit": "international-$ 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 $6.85 a day. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 - $10 a day (LIS data)", "slug": "total_shortfall_mi_pc_1000", "type": "Numeric", "unit": "international-$ 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.", "colorScaleScheme": "Oranges", "colorScaleNumericBins": "1000000000;3000000000;10000000000;30000000000;100000000000;300000000000;1000000000000", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Total shortfall - $20 a day (LIS data)", "slug": "total_shortfall_mi_pc_2000", "type": "Numeric", "unit": "international-$ 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.", "colorScaleScheme": "Oranges", "colorScaleNumericBins": "10000000000;30000000000;100000000000;300000000000;1000000000000", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Total shortfall - $30 a day (LIS data)", "slug": "total_shortfall_mi_pc_3000", "type": "Numeric", "unit": "international-$ 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.", "colorScaleScheme": "Oranges", "colorScaleNumericBins": "10000000000;30000000000;100000000000;300000000000;1000000000000;3000000000000", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Total shortfall - $40 a day (LIS data)", "slug": "total_shortfall_mi_pc_4000", "type": "Numeric", "unit": "international-$ 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.", "colorScaleScheme": "Oranges", "colorScaleNumericBins": "10000000000;30000000000;100000000000;300000000000;1000000000000;3000000000000;10000000000000;30000000000000", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Average yearly shortfall - $1 a day (LIS data)", "slug": "avg_shortfall_mi_pc_100", "type": "Numeric", "unit": "international-$ 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 yearly shortfall - $2.15 a day (LIS data)", "slug": "avg_shortfall_mi_pc_215", "type": "Numeric", "unit": "international-$ 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 $2.15 (averaged across the population in poverty).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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": "0.3;0.6;0.9;1.2;1.5;1.8;2.1", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Average yearly shortfall - $3.65 a day (LIS data)", "slug": "avg_shortfall_mi_pc_365", "type": "Numeric", "unit": "international-$ 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 $3.65 (averaged across the population in poverty).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Average yearly shortfall - $6.85 a day (LIS data)", "slug": "avg_shortfall_mi_pc_685", "type": "Numeric", "unit": "international-$ 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 $6.85 (averaged across the population in poverty).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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": "1;2;3;4;5;6", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Average yearly shortfall - $10 a day (LIS data)", "slug": "avg_shortfall_mi_pc_1000", "type": "Numeric", "unit": "international-$ 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 yearly shortfall - $20 a day (LIS data)", "slug": "avg_shortfall_mi_pc_2000", "type": "Numeric", "unit": "international-$ 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 yearly shortfall - $30 a day (LIS data)", "slug": "avg_shortfall_mi_pc_3000", "type": "Numeric", "unit": "international-$ 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 yearly shortfall - $40 a day (LIS data)", "slug": "avg_shortfall_mi_pc_4000", "type": "Numeric", "unit": "international-$ 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 - $1 a day (LIS data)", "slug": "avg_shortfall_mi_pc_100_day", "type": "Numeric", "unit": "international-$ 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 - $2.15 a day (LIS data)", "slug": "avg_shortfall_mi_pc_215_day", "type": "Numeric", "unit": "international-$ in 2017 prices", "shortUnit": "$", "tolerance": "5", "transform": "multiplyBy avg_shortfall_mi_pc_215 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 $2.15 (averaged across the population in poverty).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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": "0.3;0.6;0.9;1.2;1.5;1.8;2.1", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Average shortfall - $3.65 a day (LIS data)", "slug": "avg_shortfall_mi_pc_365_day", "type": "Numeric", "unit": "international-$ in 2017 prices", "shortUnit": "$", "tolerance": "5", "transform": "multiplyBy avg_shortfall_mi_pc_365 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 $3.65 (averaged across the population in poverty).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Average shortfall - $6.85 a day (LIS data)", "slug": "avg_shortfall_mi_pc_685_day", "type": "Numeric", "unit": "international-$ in 2017 prices", "shortUnit": "$", "tolerance": "5", "transform": "multiplyBy avg_shortfall_mi_pc_685 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 $6.85 (averaged across the population in poverty).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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": "1;2;3;4;5;6", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Average shortfall - $10 a day (LIS data)", "slug": "avg_shortfall_mi_pc_1000_day", "type": "Numeric", "unit": "international-$ 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.", "colorScaleScheme": "Purples", "colorScaleNumericBins": "2;4;6;8;10", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Average shortfall - $20 a day (LIS data)", "slug": "avg_shortfall_mi_pc_2000_day", "type": "Numeric", "unit": "international-$ 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 - $30 a day (LIS data)", "slug": "avg_shortfall_mi_pc_3000_day", "type": "Numeric", "unit": "international-$ 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 - $40 a day (LIS data)", "slug": "avg_shortfall_mi_pc_4000_day", "type": "Numeric", "unit": "international-$ 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 (LIS data)", "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 - $2.15 a day (LIS data)", "slug": "income_gap_ratio_mi_pc_215", "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 $2.15 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 - $3.65 a day (LIS data)", "slug": "income_gap_ratio_mi_pc_365", "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 $3.65 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 - $6.85 a day (LIS data)", "slug": "income_gap_ratio_mi_pc_685", "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 $6.85 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 (LIS data)", "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 (LIS data)", "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 (LIS data)", "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.", "colorScaleScheme": "YlOrRd", "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Income gap ratio - $40 a day (LIS data)", "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 (LIS data)", "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.", "colorScaleScheme": "RdPu", "colorScaleNumericBins": "10;20;30;40;50;60", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Poverty gap index - $2.15 a day (LIS data)", "slug": "poverty_gap_index_mi_pc_215", "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 $2.15 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Poverty gap index - $3.65 a day (LIS data)", "slug": "poverty_gap_index_mi_pc_365", "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 $3.65 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Poverty gap index - $6.85 a day (LIS data)", "slug": "poverty_gap_index_mi_pc_685", "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 $6.85 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Poverty gap index - $10 a day (LIS data)", "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": "10;20;30;40;50;60", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Poverty gap index - $20 a day (LIS data)", "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.", "colorScaleScheme": "RdPu", "colorScaleNumericBins": "10;20;30;40;50;60", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Poverty gap index - $30 a day (LIS data)", "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", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Poverty gap index - $40 a day (LIS data)", "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", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Share below 40% of median (LIS data)", "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 {welfare['welfare_type'][wel]} below {povlines_rel['percent'][pct]} of the median {welfare['welfare_type'][wel]}.\\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 (LIS data)", "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 {welfare['welfare_type'][wel]} below {povlines_rel['percent'][pct]} of the median {welfare['welfare_type'][wel]}.\\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 (LIS data)", "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 {welfare['welfare_type'][wel]} below {povlines_rel['percent'][pct]} of the median {welfare['welfare_type'][wel]}.\\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 (LIS data)", "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 (LIS data)", "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 (LIS data)", "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 (LIS data)", "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 (LIS data)", "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.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "100000000;300000000;1000000000;3000000000;10000000000;30000000000", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Total shortfall - 60% of median (LIS data)", "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.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "100000000;300000000;1000000000;3000000000;10000000000;30000000000;100000000000", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Average yearly shortfall - 40% of median (LIS data)", "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.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "1000;2000;3000;4000;5000", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Average yearly shortfall - 50% of median (LIS data)", "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.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "1000;2000;3000;4000;5000", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Average yearly shortfall - 60% of median (LIS data)", "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 (LIS data)", "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": "1000;2000;3000;4000;5000", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Average shortfall - 50% of median (LIS data)", "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.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "1000;2000;3000;4000;5000", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Average shortfall - 60% of median (LIS data)", "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": "1000;2000;3000;4000;5000", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Income gap ratio - 40% of median (LIS data)", "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.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "5;10;15;20;25;30;35;40", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Income gap ratio - 50% of median (LIS data)", "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.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "5;10;15;20;25;30;35;40", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Income gap ratio - 60% of median (LIS data)", "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.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "5;10;15;20;25;30;35;40", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Poverty gap index - 40% of median (LIS data)", "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.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "2;4;6;8;10;12", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Poverty gap index - 50% of median (LIS data)", "slug": "poverty_gap_index_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 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.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "2;4;6;8;10;12", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Poverty gap index - 60% of median (LIS data)", "slug": "poverty_gap_index_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 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.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "2;4;6;8;10;12", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" } ] } ], "_version": 1, "selection": [ "Chile", "Brazil", "South Africa", "United States", "France", "China" ], "wpBlockId": "57728", "entityType": "country or region", "googleSheet": null, "explorerTitle": "Poverty - World Bank, and LIS", "explorerSubtitle": "Compare World Bank and Luxembourg Income Study data on poverty.", "pickerColumnSlugs": [ "headcount_ratio_215 headcount_ratio_365 headcount_ratio_685 headcount_ratio_3000 headcount_215 headcount_365 headcount_685 headcount_3000 headcount_ratio_50_median headcount_50_median headcount_ratio_dhi_pc_215 headcount_ratio_dhi_pc_365 headcount_ratio_dhi_pc_685 headcount_ratio_dhi_pc_3000 headcount_dhi_pc_215 headcount_dhi_pc_365 headcount_dhi_pc_3000 headcount_dhi_pc_685 headcount_ratio_50_median_dhi_pc headcount_50_median_dhi_pc" ] }	2023-06-23 15:51:05	2024-06-25 11:17:22

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                {
                    "tab": "chart",
                    "note": "This data is adjusted for inflation and for differences in the cost of living between countries. This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $1 a day",
                    "ySlugs": "headcount_ratio_100 headcount_ratio_dhi_pc_100",
                    "subtitle": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
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                    "Indicator Dropdown": "Share in poverty",
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                },
                {
                    "tab": "chart",
                    "note": "This data is adjusted for inflation and for differences in the cost of living between countries. This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $1 a day",
                    "ySlugs": "headcount_100 headcount_dhi_pc_100",
                    "subtitle": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
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                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "$1 per day",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. This data is expressed in international-$ at 2017 prices.",
                    "title": "Total shortfall from a poverty line of $1 a day",
                    "ySlugs": "total_shortfall_100_year 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.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
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                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "$1 per day",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. This data is measured in international-$ 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",
                    "ySlugs": "avg_shortfall_100 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 $1 a day, averaged across the population in poverty.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
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                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. This data is measured in international-$ 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)",
                    "ySlugs": "income_gap_ratio_100 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 $1 a day.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
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                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Poverty gap index at $1 a day",
                    "ySlugs": "poverty_gap_index_100 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).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
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                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "$1 per day",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjusted for inflation and for differences in the cost of living between countries. This data is expressed in international-$ at 2017 prices.",
                    "title": "Share of population living in extreme poverty",
                    "ySlugs": "headcount_ratio_215 headcount_ratio_dhi_pc_215",
                    "subtitle": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "defaultView": "true",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$2.15 per day: International Poverty Line",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjusted for inflation and for differences in the cost of living between countries. This data is expressed in international-$ at 2017 prices.",
                    "title": "Number of people living in extreme poverty",
                    "ySlugs": "headcount_215 headcount_dhi_pc_215",
                    "subtitle": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "$2.15 per day: International Poverty Line",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. This data is expressed in international-$ at 2017 prices.",
                    "title": "Total shortfall from extreme poverty",
                    "ySlugs": "total_shortfall_215_year total_shortfall_dhi_pc_215",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in extreme poverty up to the International Poverty Line of $2.15 a day. This data is adjusted for inflation and for differences in the cost of living between countries.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "$2.15 per day: International Poverty Line",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from extreme poverty",
                    "ySlugs": "avg_shortfall_215 avg_shortfall_dhi_pc_215_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in extreme poverty up to the International Poverty Line of $2.15 a day, averaged across the population in poverty.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "$2.15 per day: International Poverty Line",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from extreme poverty (as a share of the poverty line)",
                    "ySlugs": "income_gap_ratio_215 income_gap_ratio_dhi_pc_215",
                    "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 the International Poverty Line ($2.15 a day).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "$2.15 per day: International Poverty Line",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Poverty gap index at $2.15 a day",
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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).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "$2.15 per day: International Poverty Line",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "The poverty line of $3.65 per day is set by the World Bank to be representative of the definitions of poverty adopted in lower-middle-income countries. This data is adjusted for inflation and for differences in the cost of living between countries. This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $3.65 a day",
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                    "subtitle": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$3.65 per day: Lower-middle income poverty line",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "The poverty line of $3.65 per day is set by the World Bank to be representative of the definitions of poverty adopted in lower-middle-income countries. This data is adjusted for inflation and for differences in the cost of living between countries. This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $3.65 a day",
                    "ySlugs": "headcount_365 headcount_dhi_pc_365",
                    "subtitle": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "$3.65 per day: Lower-middle income poverty line",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. This data is expressed in international-$ at 2017 prices.",
                    "title": "Total shortfall from a poverty line of $3.65 a day",
                    "ySlugs": "total_shortfall_365_year total_shortfall_dhi_pc_365",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to the lower-middle income poverty line of $3.65 a day. This data is adjusted for inflation and for differences in the cost of living between countries.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "$3.65 per day: Lower-middle income poverty line",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $3.65 a day",
                    "ySlugs": "avg_shortfall_365 avg_shortfall_dhi_pc_365_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to the lower-middle income poverty line of $3.65 a day, averaged across the population in poverty.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "$3.65 per day: Lower-middle income poverty line",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $3.65 a day (as a share of the poverty line)",
                    "ySlugs": "income_gap_ratio_365 income_gap_ratio_dhi_pc_365",
                    "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 the lower-middle income poverty line ($3.65 a day).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "$3.65 per day: Lower-middle income poverty line",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Poverty gap index at $3.65 a day",
                    "ySlugs": "poverty_gap_index_365 poverty_gap_index_dhi_pc_365",
                    "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": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "$3.65 per day: Lower-middle income poverty line",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "The poverty line of $6.85 per day is set by the World Bank to be representative of the definitions of poverty adopted in upper-middle-income countries. This data is adjusted for inflation and for differences in the cost of living between countries. This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $6.85 a day",
                    "ySlugs": "headcount_ratio_685 headcount_ratio_dhi_pc_685",
                    "subtitle": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$6.85 per day: Upper-middle income poverty line",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "The poverty line of $6.85 per day is set by the World Bank to be representative of the definitions of poverty adopted in upper-middle-income countries. This data is adjusted for inflation and for differences in the cost of living between countries. This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $6.85 a day",
                    "ySlugs": "headcount_685 headcount_dhi_pc_685",
                    "subtitle": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "$6.85 per day: Upper-middle income poverty line",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. This data is expressed in international-$ at 2017 prices.",
                    "title": "Total shortfall from a poverty line of $6.85 a day",
                    "ySlugs": "total_shortfall_685_year total_shortfall_dhi_pc_685",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to the upper-middle income poverty line of $6.85 a day. This data is adjusted for inflation and for differences in the cost of living between countries.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "$6.85 per day: Upper-middle income poverty line",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $6.85 a day",
                    "ySlugs": "avg_shortfall_685 avg_shortfall_dhi_pc_685_day",
                    "subtitle": "This is the amount of money that would be theoretically needed to lift the incomes of all people in poverty up to the upper-middle income poverty line of $6.85 a day, averaged across the population in poverty.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "$6.85 per day: Upper-middle income poverty line",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Average shortfall from a poverty line of $6.85 a day (as a share of the poverty line)",
                    "ySlugs": "income_gap_ratio_685 income_gap_ratio_dhi_pc_685",
                    "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 the upper-middle income poverty line ($6.85 a day).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "$6.85 per day: Upper-middle income poverty line",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Poverty gap index at $6.85 a day",
                    "ySlugs": "poverty_gap_index_685 poverty_gap_index_dhi_pc_685",
                    "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": "poverty_inequality",
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                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "$6.85 per day: Upper-middle income poverty line",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "This data is adjusted for inflation and for differences in the cost of living between countries. This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $10 a day",
                    "ySlugs": "headcount_ratio_1000 headcount_ratio_dhi_pc_1000",
                    "subtitle": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$10 per day",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "This data is adjusted for inflation and for differences in the cost of living between countries. This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $10 a day",
                    "ySlugs": "headcount_1000 headcount_dhi_pc_1000",
                    "subtitle": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "$10 per day",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. This data is expressed in international-$ at 2017 prices.",
                    "title": "Total shortfall from a poverty line of $10 a day",
                    "ySlugs": "total_shortfall_1000_year 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",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "$10 per day",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. This data is measured in international-$ 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",
                    "ySlugs": "avg_shortfall_1000 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 $10 a day, averaged across the population in poverty.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "$10 per day",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. This data is measured in international-$ 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)",
                    "ySlugs": "income_gap_ratio_1000 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.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "$10 per day",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Poverty gap index at $10 a day",
                    "ySlugs": "poverty_gap_index_1000 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).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "$10 per day",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "This data is adjusted for inflation and for differences in the cost of living between countries. This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $20 a day",
                    "ySlugs": "headcount_ratio_2000 headcount_ratio_dhi_pc_2000",
                    "subtitle": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$20 per day",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "This data is adjusted for inflation and for differences in the cost of living between countries. This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $20 a day",
                    "ySlugs": "headcount_2000 headcount_dhi_pc_2000",
                    "subtitle": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "$20 per day",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. This data is expressed in international-$ at 2017 prices.",
                    "title": "Total shortfall from a poverty line of $20 a day",
                    "ySlugs": "total_shortfall_2000_year 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.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "$20 per day",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. This data is measured in international-$ 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",
                    "ySlugs": "avg_shortfall_2000 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 $20 a day, averaged across the population in poverty.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "$20 per day",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. This data is measured in international-$ 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)",
                    "ySlugs": "income_gap_ratio_2000 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.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "$20 per day",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Poverty gap index at $20 a day",
                    "ySlugs": "poverty_gap_index_2000 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).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "$20 per day",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "This data is adjusted for inflation and for differences in the cost of living between countries. This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $30 a day",
                    "ySlugs": "headcount_ratio_3000 headcount_ratio_dhi_pc_3000",
                    "subtitle": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$30 per day",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "This data is adjusted for inflation and for differences in the cost of living between countries. This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $30 a day",
                    "ySlugs": "headcount_3000 headcount_dhi_pc_3000",
                    "subtitle": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "$30 per day",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. This data is expressed in international-$ at 2017 prices.",
                    "title": "Total shortfall from a poverty line of $30 a day",
                    "ySlugs": "total_shortfall_3000_year 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.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "$30 per day",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. This data is measured in international-$ 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",
                    "ySlugs": "avg_shortfall_3000 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 $30 a day, averaged across the population in poverty.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "$30 per day",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. This data is measured in international-$ 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)",
                    "ySlugs": "income_gap_ratio_3000 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.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "$30 per day",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Poverty gap index at $30 a day",
                    "ySlugs": "poverty_gap_index_3000 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).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "$30 per day",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "This data is adjusted for inflation and for differences in the cost of living between countries. This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Share of population living on less than $40 a day",
                    "ySlugs": "headcount_ratio_4000 headcount_ratio_dhi_pc_4000",
                    "subtitle": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "$40 per day",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "This data is adjusted for inflation and for differences in the cost of living between countries. This data is expressed in international-$ at 2017 prices.",
                    "title": "Poverty: Number of people living on less than $40 a day",
                    "ySlugs": "headcount_4000 headcount_dhi_pc_4000",
                    "subtitle": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "$40 per day",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. This data is expressed in international-$ at 2017 prices.",
                    "title": "Total shortfall from a poverty line of $40 a day",
                    "ySlugs": "total_shortfall_4000_year 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.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "$40 per day",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. This data is measured in international-$ 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",
                    "ySlugs": "avg_shortfall_4000 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 $40 a day, averaged across the population in poverty.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "$40 per day",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. This data is measured in international-$ 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)",
                    "ySlugs": "income_gap_ratio_4000 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.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "$40 per day",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. This data is measured in international-$ at 2017 prices to account for inflation and differences in the cost of living between countries.",
                    "title": "Poverty gap index at $40 a day",
                    "ySlugs": "poverty_gap_index_4000 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).",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "$40 per day",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "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",
                    "title": "Relative poverty: Share of people below 40% of the median",
                    "ySlugs": "headcount_ratio_40_median headcount_ratio_40_median_dhi_pc",
                    "subtitle": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "Relative poverty: 40% of median",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "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",
                    "title": "Relative poverty: Number of people below 40% of the median",
                    "ySlugs": "headcount_40_median headcount_40_median_dhi_pc",
                    "subtitle": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "Relative poverty: 40% of median",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. 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",
                    "ySlugs": "total_shortfall_40_median_year 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",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "Relative poverty: 40% of median",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. 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",
                    "ySlugs": "avg_shortfall_40_median 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.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "Relative poverty: 40% of median",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. This data is measured in international-$ 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)",
                    "ySlugs": "income_gap_ratio_40_median 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": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "Relative poverty: 40% of median",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. 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",
                    "ySlugs": "poverty_gap_index_40_median 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": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "Relative poverty: 40% of median",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "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",
                    "title": "Relative poverty: Share of people below 50% of the median",
                    "ySlugs": "headcount_ratio_50_median headcount_ratio_50_median_dhi_pc",
                    "subtitle": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "Relative poverty: 50% of median",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "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",
                    "title": "Relative poverty: Number of people below 50% of the median",
                    "ySlugs": "headcount_50_median headcount_50_median_dhi_pc",
                    "subtitle": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "Relative poverty: 50% of median",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. 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",
                    "ySlugs": "total_shortfall_50_median_year 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",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "Relative poverty: 50% of median",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. 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",
                    "ySlugs": "avg_shortfall_50_median 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.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "Relative poverty: 50% of median",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. This data is measured in international-$ 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)",
                    "ySlugs": "income_gap_ratio_50_median 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": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "Relative poverty: 50% of median",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. 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",
                    "ySlugs": "poverty_gap_index_50_median 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": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "Relative poverty: 50% of median",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "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",
                    "title": "Relative poverty: Share of people below 60% of the median",
                    "ySlugs": "headcount_ratio_60_median headcount_ratio_60_median_dhi_pc",
                    "subtitle": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in poverty",
                    "Poverty line Dropdown": "Relative poverty: 60% of median",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "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",
                    "title": "Relative poverty: Number of people below 60% of the median",
                    "ySlugs": "headcount_60_median headcount_60_median_dhi_pc",
                    "subtitle": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Number in poverty",
                    "Poverty line Dropdown": "Relative poverty: 60% of median",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. 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",
                    "ySlugs": "total_shortfall_60_median_year 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",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Total shortfall from poverty line",
                    "Poverty line Dropdown": "Relative poverty: 60% of median",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. 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",
                    "ySlugs": "avg_shortfall_60_median 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.",
                    "yAxisMin": "0",
                    "hasMapTab": "false",
                    "tableSlug": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall ($)",
                    "Poverty line Dropdown": "Relative poverty: 60% of median",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. This data is measured in international-$ 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)",
                    "ySlugs": "income_gap_ratio_60_median 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": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Average shortfall (% of poverty line)",
                    "Poverty line Dropdown": "Relative poverty: 60% of median",
                    "selectedFacetStrategy": "entity"
                },
                {
                    "tab": "chart",
                    "note": "LIS data relates to income after taxes and benefits per capita. Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. 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",
                    "ySlugs": "poverty_gap_index_60_median 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": "poverty_inequality",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Poverty gap index",
                    "Poverty line Dropdown": "Relative poverty: 60% of median",
                    "selectedFacetStrategy": "entity"
                }
            ]
        },
        {
            "args": [
                "https://catalog.ourworldindata.org/explorers/poverty_inequality/latest/poverty_inequality/poverty_inequality.csv",
                "poverty_inequality"
            ],
            "type": "table",
            "block": null
        },
        {
            "args": [
                "poverty_inequality"
            ],
            "type": "columns",
            "block": [
                {
                    "name": "Country",
                    "slug": "country",
                    "type": "EntityName",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Year",
                    "slug": "year",
                    "type": "Year",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below $1 a day (PIP data)",
                    "slug": "headcount_ratio_100",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "% of population living in households with income or consumption below $1 a day.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                    "colorScaleNumericMinValue": "0"
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                {
                    "name": "Share below $2.15 a day (PIP data)",
                    "slug": "headcount_ratio_215",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "% of population living in households with income or consumption below $2.15 a day.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                    "colorScaleNumericBins": "3;10;20;30;40;50;60;70;80;90;100",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below $3.65 a day (PIP data)",
                    "slug": "headcount_ratio_365",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "% of population living in households with income or consumption below $3.65 a day.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                    "colorScaleNumericBins": "3;10;20;30;40;50;60;70;80;90;100",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below $6.85 a day (PIP data)",
                    "slug": "headcount_ratio_685",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "% of population living in households with income or consumption below $6.85 a day.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                    "colorScaleNumericBins": "3;10;20;30;40;50;60;70;80;90;100",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below $10 a day (PIP data)",
                    "slug": "headcount_ratio_1000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "% of population living in households with income or consumption below $10 a day.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below $20 a day (PIP data)",
                    "slug": "headcount_ratio_2000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "% of population living in households with income or consumption below $20 a day.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "3;10;20;30;40;50;60;70;80;90;100",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below $30 a day (PIP data)",
                    "slug": "headcount_ratio_3000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "% of population living in households with income or consumption below $30 a day.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "3;10;20;30;40;50;60;70;80;90;100",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below $40 a day (PIP data)",
                    "slug": "headcount_ratio_4000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "% of population living in households with income or consumption below $40 a day.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below $1 a day (PIP data)",
                    "slug": "headcount_100",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "Number of people living in households with income or consumption per person below $1 a day.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "Reds",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below $2.15 a day (PIP data)",
                    "slug": "headcount_215",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "Number of people living in households with income or consumption per person below $2.15 a day.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "Reds",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below $3.65 a day (PIP data)",
                    "slug": "headcount_365",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "Number of people living in households with income or consumption per person below $3.65 a day.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "Reds",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below $6.85 a day (PIP data)",
                    "slug": "headcount_685",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "Number of people living in households with income or consumption per person below $6.85 a day.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "Reds",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below $10 a day (PIP data)",
                    "slug": "headcount_1000",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "Number of people living in households with income or consumption per person below $10 a day.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "Reds",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below $20 a day (PIP data)",
                    "slug": "headcount_2000",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "Number of people living in households with income or consumption per person below $20 a day.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "Reds",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below $30 a day (PIP data)",
                    "slug": "headcount_3000",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "Number of people living in households with income or consumption per person below $30 a day.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "Reds",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below $40 a day (PIP data)",
                    "slug": "headcount_4000",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "Number of people living in households with income or consumption per person below $40 a day.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "Reds",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total daily shortfall - $1 a day (PIP data)",
                    "slug": "total_shortfall_100",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The total shortfall from a poverty line of $1 a day. This is the amount of money that would be theoretically needed to lift the income or consumption of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "Oranges",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total daily shortfall - $2.15 a day (PIP data)",
                    "slug": "total_shortfall_215",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The total shortfall from a poverty line of $2.15 a day. This is the amount of money that would be theoretically needed to lift the income or consumption of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "Oranges",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total daily shortfall - $3.65 a day (PIP data)",
                    "slug": "total_shortfall_365",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The total shortfall from a poverty line of $3.65 a day. This is the amount of money that would be theoretically needed to lift the income or consumption of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "Oranges",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total daily shortfall - $6.85 a day (PIP data)",
                    "slug": "total_shortfall_685",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The total shortfall from a poverty line of $6.85 a day. This is the amount of money that would be theoretically needed to lift the income or consumption of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "Oranges",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total daily shortfall - $10 a day (PIP data)",
                    "slug": "total_shortfall_1000",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The total shortfall from a poverty line of $10 a day. This is the amount of money that would be theoretically needed to lift the income or consumption of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "Oranges",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total daily shortfall - $20 a day (PIP data)",
                    "slug": "total_shortfall_2000",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The total shortfall from a poverty line of $20 a day. This is the amount of money that would be theoretically needed to lift the income or consumption of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "Oranges",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total daily shortfall - $30 a day (PIP data)",
                    "slug": "total_shortfall_3000",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The total shortfall from a poverty line of $30 a day. This is the amount of money that would be theoretically needed to lift the income or consumption of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "Oranges",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total daily shortfall - $40 a day (PIP data)",
                    "slug": "total_shortfall_4000",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The total shortfall from a poverty line of $40 a day. This is the amount of money that would be theoretically needed to lift the income or consumption of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "Oranges",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $1 a day (PIP data)",
                    "slug": "total_shortfall_100_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy total_shortfall_100 365",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The total shortfall from a poverty line of $1 a day. This is the amount of money that would be theoretically needed to lift the income or consumption of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "Oranges",
                    "colorScaleNumericBins": "1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $2.15 a day (PIP data)",
                    "slug": "total_shortfall_215_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy total_shortfall_215 365",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The total shortfall from a poverty line of $2.15 a day. This is the amount of money that would be theoretically needed to lift the income or consumption of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "Oranges",
                    "colorScaleNumericBins": "1000000;3000000;10000000;30000000;100000000;300000000;1000000000;3000000000;10000000000",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $3.65 a day (PIP data)",
                    "slug": "total_shortfall_365_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy total_shortfall_365 365",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The total shortfall from a poverty line of $3.65 a day. This is the amount of money that would be theoretically needed to lift the income or consumption of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "Oranges",
                    "colorScaleNumericBins": "10000000;30000000;100000000;300000000;1000000000;3000000000;10000000000;30000000000",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $6.85 a day (PIP data)",
                    "slug": "total_shortfall_685_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy total_shortfall_685 365",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The total shortfall from a poverty line of $6.85 a day. This is the amount of money that would be theoretically needed to lift the income or consumption of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "Oranges",
                    "colorScaleNumericBins": "100000000;300000000;1000000000;3000000000;10000000000;30000000000;100000000000;300000000000",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $10 a day (PIP data)",
                    "slug": "total_shortfall_1000_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy total_shortfall_1000 365",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The total shortfall from a poverty line of $10 a day. This is the amount of money that would be theoretically needed to lift the income or consumption of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "Oranges",
                    "colorScaleNumericBins": "1000000000;3000000000;10000000000;30000000000;100000000000;300000000000;1000000000000",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $20 a day (PIP data)",
                    "slug": "total_shortfall_2000_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy total_shortfall_2000 365",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The total shortfall from a poverty line of $20 a day. This is the amount of money that would be theoretically needed to lift the income or consumption of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "Oranges",
                    "colorScaleNumericBins": "10000000000;30000000000;100000000000;300000000000;1000000000000",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $30 a day (PIP data)",
                    "slug": "total_shortfall_3000_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy total_shortfall_3000 365",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The total shortfall from a poverty line of $30 a day. This is the amount of money that would be theoretically needed to lift the income or consumption of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "Oranges",
                    "colorScaleNumericBins": "10000000000;30000000000;100000000000;300000000000;1000000000000;3000000000000",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $40 a day (PIP data)",
                    "slug": "total_shortfall_4000_year",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy total_shortfall_4000 365",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The total shortfall from a poverty line of $40 a day. This is the amount of money that would be theoretically needed to lift the income or consumption of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "Oranges",
                    "colorScaleNumericBins": "10000000000;30000000000;100000000000;300000000000;1000000000000;3000000000000;10000000000000;30000000000000",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $1 a day (PIP data)",
                    "slug": "avg_shortfall_100",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The average shortfall from a poverty line of $1 a day (averaged across the population in poverty).\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "0.2;0.4;0.6;0.8;1",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $2.15 a day (PIP data)",
                    "slug": "avg_shortfall_215",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The average shortfall from a poverty line of $2.15 a day (averaged across the population in poverty).\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "0.3;0.6;0.9;1.2;1.5;1.8;2.1",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $3.65 a day (PIP data)",
                    "slug": "avg_shortfall_365",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The average shortfall from a poverty line of $3.65 a day (averaged across the population in poverty).\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "0.5;1;1.5;2;2.5;3;3.5",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $6.85 a day (PIP data)",
                    "slug": "avg_shortfall_685",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The average shortfall from a poverty line of $6.85 a day (averaged across the population in poverty).\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "1;2;3;4;5;6",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $10 a day (PIP data)",
                    "slug": "avg_shortfall_1000",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The average shortfall from a poverty line of $10 a day (averaged across the population in poverty).\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "2;4;6;8;10",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $20 a day (PIP data)",
                    "slug": "avg_shortfall_2000",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The average shortfall from a poverty line of $20 a day (averaged across the population in poverty).\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "3;6;9;12;15;18;21",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $30 a day (PIP data)",
                    "slug": "avg_shortfall_3000",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The average shortfall from a poverty line of $30 a day (averaged across the population in poverty).\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "5;10;15;20;25;30",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $40 a day (PIP data)",
                    "slug": "avg_shortfall_4000",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The average shortfall from a poverty line of $40 a day (averaged across the population in poverty).\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "5;10;15;20;25;30;35;40",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - $1 a day (PIP data)",
                    "slug": "income_gap_ratio_100",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "\"The average shortfall from a poverty line of $1 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.\"",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "YlOrRd",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - $2.15 a day (PIP data)",
                    "slug": "income_gap_ratio_215",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "\"The average shortfall from a poverty line of $2.15 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.\"",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "YlOrRd",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - $3.65 a day (PIP data)",
                    "slug": "income_gap_ratio_365",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "\"The average shortfall from a poverty line of $3.65 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.\"",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "YlOrRd",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - $6.85 a day (PIP data)",
                    "slug": "income_gap_ratio_685",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "\"The average shortfall from a poverty line of $6.85 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.\"",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "YlOrRd",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - $10 a day (PIP data)",
                    "slug": "income_gap_ratio_1000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "\"The average shortfall from a poverty line of $10 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.\"",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "YlOrRd",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - $20 a day (PIP data)",
                    "slug": "income_gap_ratio_2000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "\"The average shortfall from a poverty line of $20 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.\"",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "YlOrRd",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - $30 a day (PIP data)",
                    "slug": "income_gap_ratio_3000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "\"The average shortfall from a poverty line of $30 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.\"",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "YlOrRd",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - $40 a day (PIP data)",
                    "slug": "income_gap_ratio_4000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "\"The average shortfall from a poverty line of $40 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.\"",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "YlOrRd",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $1 a day (PIP data)",
                    "slug": "poverty_gap_index_100",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The poverty gap index calculated at a poverty line of $1 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "RdPu",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $2.15 a day (PIP data)",
                    "slug": "poverty_gap_index_215",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The poverty gap index calculated at a poverty line of $2.15 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "RdPu",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $3.65 a day (PIP data)",
                    "slug": "poverty_gap_index_365",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The poverty gap index calculated at a poverty line of $3.65 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "RdPu",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $6.85 a day (PIP data)",
                    "slug": "poverty_gap_index_685",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The poverty gap index calculated at a poverty line of $6.85 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "RdPu",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $10 a day (PIP data)",
                    "slug": "poverty_gap_index_1000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The poverty gap index calculated at a poverty line of $10 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "RdPu",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $20 a day (PIP data)",
                    "slug": "poverty_gap_index_2000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The poverty gap index calculated at a poverty line of $20 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "RdPu",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $30 a day (PIP data)",
                    "slug": "poverty_gap_index_3000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The poverty gap index calculated at a poverty line of $30 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "RdPu",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $40 a day (PIP data)",
                    "slug": "poverty_gap_index_4000",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The poverty gap index calculated at a poverty line of $40 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nThe data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in the cost of living between countries.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "RdPu",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below 40% of median (PIP data)",
                    "slug": "headcount_ratio_40_median",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "% of population living in households with an income or consumption per person below 40% of the median.\\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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 40% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "5;10;15;20;25;30;30.0001",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below 50% of median (PIP data)",
                    "slug": "headcount_ratio_50_median",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "% of population living in households with an income or consumption per person below 50% of the median.\\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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 50% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "5;10;15;20;25;30;30.0001",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below 60% of median (PIP data)",
                    "slug": "headcount_ratio_60_median",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "% of population living in households with an income or consumption per person below 60% of the median.\\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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 60% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "5;10;15;20;25;30;30.0001",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below 40% of median (PIP data)",
                    "slug": "headcount_40_median",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "Number of people living in households with an income or consumption per person below 40% of the median.\\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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 40% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below 50% of median (PIP data)",
                    "slug": "headcount_50_median",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "Number of people living in households with an income or consumption per person below 50% of the median.\\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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 50% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below 60% of median (PIP data)",
                    "slug": "headcount_60_median",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "Number of people living in households with an income or consumption per person below 60% of the median.\\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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 60% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total daily shortfall - 40% of median (PIP data)",
                    "slug": "total_shortfall_40_median",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The total shortfall from a poverty line of 40% of the median income or consumption. This is the amount of money that would be theoretically needed to lift the income or consumption 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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 40% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total daily shortfall - 50% of median (PIP data)",
                    "slug": "total_shortfall_50_median",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The total shortfall from a poverty line of 50% of the median income or consumption. This is the amount of money that would be theoretically needed to lift the income or consumption 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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 50% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total daily shortfall - 60% of median (PIP data)",
                    "slug": "total_shortfall_60_median",
                    "type": "Numeric",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The total shortfall from a poverty line of 60% of the median income or consumption. This is the amount of money that would be theoretically needed to lift the income or consumption 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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 60% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - 40% of median (PIP data)",
                    "slug": "total_shortfall_40_median_year",
                    "type": "Numeric",
                    "tolerance": "5",
                    "transform": "multiplyBy total_shortfall_40_median 365",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The total shortfall from a poverty line of 40% of the median income or consumption. This is the amount of money that would be theoretically needed to lift the income or consumption 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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 40% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - 50% of median (PIP data)",
                    "slug": "total_shortfall_50_median_year",
                    "type": "Numeric",
                    "tolerance": "5",
                    "transform": "multiplyBy total_shortfall_50_median 365",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The total shortfall from a poverty line of 50% of the median income or consumption. This is the amount of money that would be theoretically needed to lift the income or consumption 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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 50% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - 60% of median (PIP data)",
                    "slug": "total_shortfall_60_median_year",
                    "type": "Numeric",
                    "tolerance": "5",
                    "transform": "multiplyBy total_shortfall_60_median 365",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The total shortfall from a poverty line of 60% of the median income or consumption. This is the amount of money that would be theoretically needed to lift the income or consumption 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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 60% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;1000000001",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - 40% of median (PIP data)",
                    "slug": "avg_shortfall_40_median",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The average shortfall from a poverty line of of 40% of the median income or consumption (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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 40% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "1;2;5;10;20;20.0001",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - 50% of median (PIP data)",
                    "slug": "avg_shortfall_50_median",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The average shortfall from a poverty line of of 50% of the median income or consumption (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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 50% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "1;2;5;10;20;20.0001",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - 60% of median (PIP data)",
                    "slug": "avg_shortfall_60_median",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The average shortfall from a poverty line of of 60% of the median income or consumption (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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 60% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "1;2;5;10;20;20.0001",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - 40% of median (PIP data)",
                    "slug": "income_gap_ratio_40_median",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "\"The average shortfall from a poverty line of of 40% of the median income or consumption (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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 40% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.\"",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - 50% of median (PIP data)",
                    "slug": "income_gap_ratio_50_median",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "\"The average shortfall from a poverty line of of 50% of the median income or consumption (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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 50% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.\"",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - 60% of median (PIP data)",
                    "slug": "income_gap_ratio_60_median",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "\"The average shortfall from a poverty line of of 60% of the median income or consumption (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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 60% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.\"",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - 40% of median (PIP data)",
                    "slug": "poverty_gap_index_40_median",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The poverty gap index calculated at a poverty line of 40% of the median income or consumption. 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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 40% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "3;6;9;12;15;18;21",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - 50% of median (PIP data)",
                    "slug": "poverty_gap_index_50_median",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The poverty gap index calculated at a poverty line of 50% of the median income or consumption. 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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 50% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "3;6;9;12;15;18;21",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - 60% of median (PIP data)",
                    "slug": "poverty_gap_index_60_median",
                    "type": "Numeric",
                    "unit": "%",
                    "shortUnit": "%",
                    "tolerance": "5",
                    "sourceLink": "https://pip.worldbank.org",
                    "sourceName": "World Bank Poverty and Inequality Platform (2024)",
                    "description": "The poverty gap index calculated at a poverty line of 60% of the median income or consumption. 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\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nMeasures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line \u2013 in this case 60% of the median \u2013 and then run a specific query on the PIP API to return the share of population below that line.\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\n\\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty - World Bank Data Explorer](https://ourworldindata.org/explorers/poverty-wb?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.",
                    "dataPublishedBy": "World Bank (2024). Poverty and Inequality Platform (version 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "3;6;9;12;15;18;21",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below $1 a day (LIS data)",
                    "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 $2.15 a day (LIS data)",
                    "slug": "headcount_ratio_dhi_pc_215",
                    "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 $2.15 a day.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 $3.65 a day (LIS data)",
                    "slug": "headcount_ratio_dhi_pc_365",
                    "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 $3.65 a day.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 $6.85 a day (LIS data)",
                    "slug": "headcount_ratio_dhi_pc_685",
                    "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 $6.85 a day.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 (LIS data)",
                    "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 (LIS data)",
                    "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 (LIS data)",
                    "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 (LIS data)",
                    "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 (LIS data)",
                    "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 $2.15 a day (LIS data)",
                    "slug": "headcount_dhi_pc_215",
                    "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 $2.15 a day.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 $3.65 a day (LIS data)",
                    "slug": "headcount_dhi_pc_365",
                    "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 $3.65 a day.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 $6.85 a day (LIS data)",
                    "slug": "headcount_dhi_pc_685",
                    "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 $6.85 a day.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 $10 a day (LIS data)",
                    "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 (LIS data)",
                    "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.",
                    "colorScaleScheme": "Reds",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below $30 a day (LIS data)",
                    "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 (LIS data)",
                    "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.",
                    "colorScaleScheme": "Reds",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $1 a day (LIS data)",
                    "slug": "total_shortfall_dhi_pc_100",
                    "type": "Numeric",
                    "unit": "international-$ 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 - $2.15 a day (LIS data)",
                    "slug": "total_shortfall_dhi_pc_215",
                    "type": "Numeric",
                    "unit": "international-$ 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 $2.15 a day. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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;3000000000;10000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $3.65 a day (LIS data)",
                    "slug": "total_shortfall_dhi_pc_365",
                    "type": "Numeric",
                    "unit": "international-$ 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 $3.65 a day. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 - $6.85 a day (LIS data)",
                    "slug": "total_shortfall_dhi_pc_685",
                    "type": "Numeric",
                    "unit": "international-$ 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 $6.85 a day. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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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                    "colorScaleNumericBins": "100000000;300000000;1000000000;3000000000;10000000000;30000000000;100000000000;300000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $10 a day (LIS data)",
                    "slug": "total_shortfall_dhi_pc_1000",
                    "type": "Numeric",
                    "unit": "international-$ 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.",
                    "colorScaleScheme": "Oranges",
                    "colorScaleNumericBins": "1000000000;3000000000;10000000000;30000000000;100000000000;300000000000;1000000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $20 a day (LIS data)",
                    "slug": "total_shortfall_dhi_pc_2000",
                    "type": "Numeric",
                    "unit": "international-$ 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.",
                    "colorScaleScheme": "Oranges",
                    "colorScaleNumericBins": "10000000000;30000000000;100000000000;300000000000;1000000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $30 a day (LIS data)",
                    "slug": "total_shortfall_dhi_pc_3000",
                    "type": "Numeric",
                    "unit": "international-$ 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.",
                    "colorScaleScheme": "Oranges",
                    "colorScaleNumericBins": "10000000000;30000000000;100000000000;300000000000;1000000000000;3000000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $40 a day (LIS data)",
                    "slug": "total_shortfall_dhi_pc_4000",
                    "type": "Numeric",
                    "unit": "international-$ 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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                    "colorScaleNumericBins": "10000000000;30000000000;100000000000;300000000000;1000000000000;3000000000000;10000000000000;30000000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average yearly shortfall - $1 a day (LIS data)",
                    "slug": "avg_shortfall_dhi_pc_100",
                    "type": "Numeric",
                    "unit": "international-$ 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 yearly shortfall - $2.15 a day (LIS data)",
                    "slug": "avg_shortfall_dhi_pc_215",
                    "type": "Numeric",
                    "unit": "international-$ 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 $2.15 (averaged across the population in poverty).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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": "0.3;0.6;0.9;1.2;1.5;1.8;2.1",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average yearly shortfall - $3.65 a day (LIS data)",
                    "slug": "avg_shortfall_dhi_pc_365",
                    "type": "Numeric",
                    "unit": "international-$ 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 $3.65 (averaged across the population in poverty).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average yearly shortfall - $6.85 a day (LIS data)",
                    "slug": "avg_shortfall_dhi_pc_685",
                    "type": "Numeric",
                    "unit": "international-$ 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 $6.85 (averaged across the population in poverty).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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": "1;2;3;4;5;6",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average yearly shortfall - $10 a day (LIS data)",
                    "slug": "avg_shortfall_dhi_pc_1000",
                    "type": "Numeric",
                    "unit": "international-$ 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.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "2;4;6;8;10",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average yearly shortfall - $20 a day (LIS data)",
                    "slug": "avg_shortfall_dhi_pc_2000",
                    "type": "Numeric",
                    "unit": "international-$ 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.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "3;6;9;12;15;18;21",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average yearly shortfall - $30 a day (LIS data)",
                    "slug": "avg_shortfall_dhi_pc_3000",
                    "type": "Numeric",
                    "unit": "international-$ 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 yearly shortfall - $40 a day (LIS data)",
                    "slug": "avg_shortfall_dhi_pc_4000",
                    "type": "Numeric",
                    "unit": "international-$ 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 - $1 a day (LIS data)",
                    "slug": "avg_shortfall_dhi_pc_100_day",
                    "type": "Numeric",
                    "unit": "international-$ 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 - $2.15 a day (LIS data)",
                    "slug": "avg_shortfall_dhi_pc_215_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_dhi_pc_215 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 $2.15 (averaged across the population in poverty).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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": "0.3;0.6;0.9;1.2;1.5;1.8;2.1",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $3.65 a day (LIS data)",
                    "slug": "avg_shortfall_dhi_pc_365_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_dhi_pc_365 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 $3.65 (averaged across the population in poverty).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $6.85 a day (LIS data)",
                    "slug": "avg_shortfall_dhi_pc_685_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_dhi_pc_685 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 $6.85 (averaged across the population in poverty).\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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": "1;2;3;4;5;6",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $10 a day (LIS data)",
                    "slug": "avg_shortfall_dhi_pc_1000_day",
                    "type": "Numeric",
                    "unit": "international-$ 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 - $20 a day (LIS data)",
                    "slug": "avg_shortfall_dhi_pc_2000_day",
                    "type": "Numeric",
                    "unit": "international-$ 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 - $30 a day (LIS data)",
                    "slug": "avg_shortfall_dhi_pc_3000_day",
                    "type": "Numeric",
                    "unit": "international-$ 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 - $40 a day (LIS data)",
                    "slug": "avg_shortfall_dhi_pc_4000_day",
                    "type": "Numeric",
                    "unit": "international-$ 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 (LIS data)",
                    "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 - $2.15 a day (LIS data)",
                    "slug": "income_gap_ratio_dhi_pc_215",
                    "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 $2.15 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 - $3.65 a day (LIS data)",
                    "slug": "income_gap_ratio_dhi_pc_365",
                    "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 $3.65 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 - $6.85 a day (LIS data)",
                    "slug": "income_gap_ratio_dhi_pc_685",
                    "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 $6.85 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 (LIS data)",
                    "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 (LIS data)",
                    "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 (LIS data)",
                    "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 (LIS data)",
                    "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 (LIS data)",
                    "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": "10;20;30;40;50;60",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $2.15 a day (LIS data)",
                    "slug": "poverty_gap_index_dhi_pc_215",
                    "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 $2.15 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $3.65 a day (LIS data)",
                    "slug": "poverty_gap_index_dhi_pc_365",
                    "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 $3.65 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $6.85 a day (LIS data)",
                    "slug": "poverty_gap_index_dhi_pc_685",
                    "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 $6.85 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nIncome is \u2018post-tax\u2019 \u2014 measured after taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $10 a day (LIS data)",
                    "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": "10;20;30;40;50;60",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $20 a day (LIS data)",
                    "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",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $30 a day (LIS data)",
                    "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",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $40 a day (LIS data)",
                    "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",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below 40% of median (LIS data)",
                    "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 {welfare['welfare_type'][wel]} below {povlines_rel['percent'][pct]} of the median {welfare['welfare_type'][wel]}.\\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 (LIS data)",
                    "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 {welfare['welfare_type'][wel]} below {povlines_rel['percent'][pct]} of the median {welfare['welfare_type'][wel]}.\\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 (LIS data)",
                    "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 {welfare['welfare_type'][wel]} below {povlines_rel['percent'][pct]} of the median {welfare['welfare_type'][wel]}.\\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 (LIS data)",
                    "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.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below 50% of median (LIS data)",
                    "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.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below 60% of median (LIS data)",
                    "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.",
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                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - 40% of median (LIS data)",
                    "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 (LIS data)",
                    "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 (LIS data)",
                    "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.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "100000000;300000000;1000000000;3000000000;10000000000;30000000000;100000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average yearly shortfall - 40% of median (LIS data)",
                    "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 yearly shortfall - 50% of median (LIS data)",
                    "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",
                    "colorScaleNumericBins": "1000;2000;3000;4000;5000",
                    "colorScaleEqualSizeBins": "true",
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                },
                {
                    "name": "Average yearly shortfall - 60% of median (LIS data)",
                    "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.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "1000;2000;3000;4000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - 40% of median (LIS data)",
                    "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.",
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                    "colorScaleNumericBins": "1000;2000;3000;4000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - 50% of median (LIS data)",
                    "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.",
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                    "colorScaleEqualSizeBins": "true",
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                {
                    "name": "Average shortfall - 60% of median (LIS data)",
                    "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": "1000;2000;3000;4000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - 40% of median (LIS data)",
                    "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",
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                },
                {
                    "name": "Income gap ratio - 50% of median (LIS data)",
                    "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",
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                },
                {
                    "name": "Income gap ratio - 60% of median (LIS data)",
                    "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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                    "colorScaleNumericBins": "5;10;15;20;25;30;35;40",
                    "colorScaleEqualSizeBins": "true",
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                },
                {
                    "name": "Poverty gap index - 40% of median (LIS data)",
                    "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.",
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                    "colorScaleNumericBins": "2;4;6;8;10;12",
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                },
                {
                    "name": "Poverty gap index - 50% of median (LIS data)",
                    "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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                },
                {
                    "name": "Poverty gap index - 60% of median (LIS data)",
                    "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.",
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                    "colorScaleNumericBins": "2;4;6;8;10;12",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below $1 a day (LIS data)",
                    "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.",
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                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below $2.15 a day (LIS data)",
                    "slug": "headcount_ratio_mi_pc_215",
                    "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 $2.15 a day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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",
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                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below $3.65 a day (LIS data)",
                    "slug": "headcount_ratio_mi_pc_365",
                    "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 $3.65 a day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 $6.85 a day (LIS data)",
                    "slug": "headcount_ratio_mi_pc_685",
                    "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 $6.85 a day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 $10 a day (LIS data)",
                    "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.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "3;10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below $20 a day (LIS data)",
                    "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.",
                    "colorScaleScheme": "OrRd",
                    "colorScaleNumericBins": "3;10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below $30 a day (LIS data)",
                    "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 (LIS data)",
                    "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 (LIS data)",
                    "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 $2.15 a day (LIS data)",
                    "slug": "headcount_mi_pc_215",
                    "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 $2.15 a day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 $3.65 a day (LIS data)",
                    "slug": "headcount_mi_pc_365",
                    "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 $3.65 a day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 $6.85 a day (LIS data)",
                    "slug": "headcount_mi_pc_685",
                    "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 $6.85 a day.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 (LIS data)",
                    "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.",
                    "colorScaleScheme": "Reds",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below $20 a day (LIS data)",
                    "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",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below $30 a day (LIS data)",
                    "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.",
                    "colorScaleScheme": "Reds",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Number below $40 a day (LIS data)",
                    "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.",
                    "colorScaleScheme": "Reds",
                    "colorScaleNumericBins": "100000;300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $1 a day (LIS data)",
                    "slug": "total_shortfall_mi_pc_100",
                    "type": "Numeric",
                    "unit": "international-$ 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 - $2.15 a day (LIS data)",
                    "slug": "total_shortfall_mi_pc_215",
                    "type": "Numeric",
                    "unit": "international-$ 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 $2.15 a day. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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;3000000000;10000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $3.65 a day (LIS data)",
                    "slug": "total_shortfall_mi_pc_365",
                    "type": "Numeric",
                    "unit": "international-$ 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 $3.65 a day. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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": "10000000;30000000;100000000;300000000;1000000000;3000000000;10000000000;30000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $6.85 a day (LIS data)",
                    "slug": "total_shortfall_mi_pc_685",
                    "type": "Numeric",
                    "unit": "international-$ 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 $6.85 a day. This is the amount of money that would be theoretically needed to lift the income of all people in poverty up to the poverty line. However this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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": "100000000;300000000;1000000000;3000000000;10000000000;30000000000;100000000000;300000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $10 a day (LIS data)",
                    "slug": "total_shortfall_mi_pc_1000",
                    "type": "Numeric",
                    "unit": "international-$ 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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                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $20 a day (LIS data)",
                    "slug": "total_shortfall_mi_pc_2000",
                    "type": "Numeric",
                    "unit": "international-$ 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.",
                    "colorScaleScheme": "Oranges",
                    "colorScaleNumericBins": "10000000000;30000000000;100000000000;300000000000;1000000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $30 a day (LIS data)",
                    "slug": "total_shortfall_mi_pc_3000",
                    "type": "Numeric",
                    "unit": "international-$ 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.",
                    "colorScaleScheme": "Oranges",
                    "colorScaleNumericBins": "10000000000;30000000000;100000000000;300000000000;1000000000000;3000000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - $40 a day (LIS data)",
                    "slug": "total_shortfall_mi_pc_4000",
                    "type": "Numeric",
                    "unit": "international-$ 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.",
                    "colorScaleScheme": "Oranges",
                    "colorScaleNumericBins": "10000000000;30000000000;100000000000;300000000000;1000000000000;3000000000000;10000000000000;30000000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average yearly shortfall - $1 a day (LIS data)",
                    "slug": "avg_shortfall_mi_pc_100",
                    "type": "Numeric",
                    "unit": "international-$ 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 yearly shortfall - $2.15 a day (LIS data)",
                    "slug": "avg_shortfall_mi_pc_215",
                    "type": "Numeric",
                    "unit": "international-$ 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 $2.15 (averaged across the population in poverty).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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": "0.3;0.6;0.9;1.2;1.5;1.8;2.1",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average yearly shortfall - $3.65 a day (LIS data)",
                    "slug": "avg_shortfall_mi_pc_365",
                    "type": "Numeric",
                    "unit": "international-$ 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 $3.65 (averaged across the population in poverty).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average yearly shortfall - $6.85 a day (LIS data)",
                    "slug": "avg_shortfall_mi_pc_685",
                    "type": "Numeric",
                    "unit": "international-$ 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 $6.85 (averaged across the population in poverty).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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": "1;2;3;4;5;6",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average yearly shortfall - $10 a day (LIS data)",
                    "slug": "avg_shortfall_mi_pc_1000",
                    "type": "Numeric",
                    "unit": "international-$ 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 yearly shortfall - $20 a day (LIS data)",
                    "slug": "avg_shortfall_mi_pc_2000",
                    "type": "Numeric",
                    "unit": "international-$ 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 yearly shortfall - $30 a day (LIS data)",
                    "slug": "avg_shortfall_mi_pc_3000",
                    "type": "Numeric",
                    "unit": "international-$ 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 yearly shortfall - $40 a day (LIS data)",
                    "slug": "avg_shortfall_mi_pc_4000",
                    "type": "Numeric",
                    "unit": "international-$ 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 - $1 a day (LIS data)",
                    "slug": "avg_shortfall_mi_pc_100_day",
                    "type": "Numeric",
                    "unit": "international-$ 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 - $2.15 a day (LIS data)",
                    "slug": "avg_shortfall_mi_pc_215_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_mi_pc_215 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 $2.15 (averaged across the population in poverty).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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": "0.3;0.6;0.9;1.2;1.5;1.8;2.1",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $3.65 a day (LIS data)",
                    "slug": "avg_shortfall_mi_pc_365_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_mi_pc_365 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 $3.65 (averaged across the population in poverty).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $6.85 a day (LIS data)",
                    "slug": "avg_shortfall_mi_pc_685_day",
                    "type": "Numeric",
                    "unit": "international-$ in 2017 prices",
                    "shortUnit": "$",
                    "tolerance": "5",
                    "transform": "multiplyBy avg_shortfall_mi_pc_685 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 $6.85 (averaged across the population in poverty).\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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": "1;2;3;4;5;6",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $10 a day (LIS data)",
                    "slug": "avg_shortfall_mi_pc_1000_day",
                    "type": "Numeric",
                    "unit": "international-$ 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.",
                    "colorScaleScheme": "Purples",
                    "colorScaleNumericBins": "2;4;6;8;10",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - $20 a day (LIS data)",
                    "slug": "avg_shortfall_mi_pc_2000_day",
                    "type": "Numeric",
                    "unit": "international-$ 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 - $30 a day (LIS data)",
                    "slug": "avg_shortfall_mi_pc_3000_day",
                    "type": "Numeric",
                    "unit": "international-$ 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 - $40 a day (LIS data)",
                    "slug": "avg_shortfall_mi_pc_4000_day",
                    "type": "Numeric",
                    "unit": "international-$ 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 (LIS data)",
                    "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 - $2.15 a day (LIS data)",
                    "slug": "income_gap_ratio_mi_pc_215",
                    "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 $2.15 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 - $3.65 a day (LIS data)",
                    "slug": "income_gap_ratio_mi_pc_365",
                    "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 $3.65 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 - $6.85 a day (LIS data)",
                    "slug": "income_gap_ratio_mi_pc_685",
                    "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 $6.85 a day (averaged across the population in poverty) expressed as a share of the poverty line. This metric is sometimes called the \"\"income gap ratio\"\". It captures the depth of poverty of those living on less than the poverty line.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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 (LIS data)",
                    "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 (LIS data)",
                    "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 (LIS data)",
                    "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.",
                    "colorScaleScheme": "YlOrRd",
                    "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - $40 a day (LIS data)",
                    "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 (LIS data)",
                    "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.",
                    "colorScaleScheme": "RdPu",
                    "colorScaleNumericBins": "10;20;30;40;50;60",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $2.15 a day (LIS data)",
                    "slug": "poverty_gap_index_mi_pc_215",
                    "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 $2.15 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $3.65 a day (LIS data)",
                    "slug": "poverty_gap_index_mi_pc_365",
                    "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 $3.65 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $6.85 a day (LIS data)",
                    "slug": "poverty_gap_index_mi_pc_685",
                    "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 $6.85 a day. The poverty gap index is a measure that reflects both the depth and prevalence of poverty. It is defined as the mean shortfall of the total population from the poverty line counting the non-poor as having zero shortfall and expressed as a percentage of the poverty line. It is worth unpacking that definition a little. For those below the poverty line, the shortfall corresponds to the amount of money required in order to reach the poverty line. For those at or above the poverty line, the shortfall is counted as zero. The average shortfall is then calculated across the total population \u2013 both poor and non-poor \u2013 and then expressed as a share of the poverty line. Unlike the more commonly-used metric of the headcount ratio, the poverty gap index is thus sensitive not only to whether a person\u2019s income falls below the poverty line or not, but also by how much \u2013 i.e. to the depth of poverty they experience.\\n\\nIncome is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received.\\n\\nIncome is per capita, which means that household income is divided by the total number of household members.\\n\\nThe data is measured in international-$ 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",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $10 a day (LIS data)",
                    "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": "10;20;30;40;50;60",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $20 a day (LIS data)",
                    "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.",
                    "colorScaleScheme": "RdPu",
                    "colorScaleNumericBins": "10;20;30;40;50;60",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $30 a day (LIS data)",
                    "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",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - $40 a day (LIS data)",
                    "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",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Share below 40% of median (LIS data)",
                    "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 {welfare['welfare_type'][wel]} below {povlines_rel['percent'][pct]} of the median {welfare['welfare_type'][wel]}.\\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 (LIS data)",
                    "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 {welfare['welfare_type'][wel]} below {povlines_rel['percent'][pct]} of the median {welfare['welfare_type'][wel]}.\\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 (LIS data)",
                    "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 {welfare['welfare_type'][wel]} below {povlines_rel['percent'][pct]} of the median {welfare['welfare_type'][wel]}.\\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 (LIS data)",
                    "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 (LIS data)",
                    "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 (LIS data)",
                    "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 (LIS data)",
                    "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 (LIS data)",
                    "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.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "100000000;300000000;1000000000;3000000000;10000000000;30000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total shortfall - 60% of median (LIS data)",
                    "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.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "100000000;300000000;1000000000;3000000000;10000000000;30000000000;100000000000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average yearly shortfall - 40% of median (LIS data)",
                    "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.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "1000;2000;3000;4000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average yearly shortfall - 50% of median (LIS data)",
                    "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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                    "colorScaleNumericBins": "1000;2000;3000;4000;5000",
                    "colorScaleEqualSizeBins": "true",
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                },
                {
                    "name": "Average yearly shortfall - 60% of median (LIS data)",
                    "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 (LIS data)",
                    "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": "1000;2000;3000;4000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - 50% of median (LIS data)",
                    "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.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "1000;2000;3000;4000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Average shortfall - 60% of median (LIS data)",
                    "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": "1000;2000;3000;4000;5000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - 40% of median (LIS data)",
                    "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.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "5;10;15;20;25;30;35;40",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - 50% of median (LIS data)",
                    "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.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "5;10;15;20;25;30;35;40",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Income gap ratio - 60% of median (LIS data)",
                    "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.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "5;10;15;20;25;30;35;40",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - 40% of median (LIS data)",
                    "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.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "2;4;6;8;10;12",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - 50% of median (LIS data)",
                    "slug": "poverty_gap_index_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 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.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "2;4;6;8;10;12",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Poverty gap index - 60% of median (LIS data)",
                    "slug": "poverty_gap_index_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 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.",
                    "colorScaleScheme": "YlOrBr",
                    "colorScaleNumericBins": "2;4;6;8;10;12",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                }
            ]
        }
    ],
    "_version": 1,
    "selection": [
        "Chile",
        "Brazil",
        "South Africa",
        "United States",
        "France",
        "China"
    ],
    "wpBlockId": "57728",
    "entityType": "country or region",
    "googleSheet": null,
    "explorerTitle": "Poverty - World Bank, and LIS",
    "explorerSubtitle": "Compare World Bank and Luxembourg Income Study data on poverty.",
    "pickerColumnSlugs": [
        "headcount_ratio_215 headcount_ratio_365 headcount_ratio_685 headcount_ratio_3000 headcount_215 headcount_365 headcount_685 headcount_3000 headcount_ratio_50_median headcount_50_median headcount_ratio_dhi_pc_215 headcount_ratio_dhi_pc_365 headcount_ratio_dhi_pc_685 headcount_ratio_dhi_pc_3000 headcount_dhi_pc_215 headcount_dhi_pc_365 headcount_dhi_pc_3000 headcount_dhi_pc_685 headcount_ratio_50_median_dhi_pc headcount_50_median_dhi_pc"
    ]
}

2023-06-23 15:51:05

2024-06-25 11:17:22

Links from other tables

0 rows from explorerSlug in explorer_charts
0 rows from explorerSlug in explorer_variables