explorers: 44
This data as json
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44 | inequality-wb | {"blocks": [{"args": [], "type": "graphers", "block": [{"tab": "map", "title": "Gini coefficient", "ySlugs": "gini", "subtitle": "The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality. 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Depending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita). The chart shows breaks in the comparability of the underlying household survey data over time within each country individually.", "yAxisMin": "0.0", "hasMapTab": "false", "tableSlug": "income_consumption_2017_palma_ratio", "Indicator Dropdown": "Palma ratio", "selectedFacetStrategy": "entity", "Household survey data type Dropdown": "Show data from both income and consumption surveys", "Show breaks between less comparable surveys Checkbox": "true"}, {"note": "Depending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita).", "title": "Share of people in relative poverty", "ySlugs": "consumption_spell_1 consumption_spell_2 consumption_spell_3 consumption_spell_4 consumption_spell_5 consumption_spell_6 consumption_spell_7 income_spell_1 income_spell_2 income_spell_3 income_spell_4 income_spell_5 income_spell_6 income_spell_7 income_spell_8", "subtitle": "The share of population with after tax income or consumption below 50% of the median. 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An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The chart shows breaks in the comparability of the underlying household survey data over time within each country individually.", "yAxisMin": "0.0", "hasMapTab": "false", "tableSlug": "income_consumption_2017_mld", "Indicator Dropdown": "Mean log deviation", "selectedFacetStrategy": "entity", "Household survey data type Dropdown": "Show data from both income and consumption surveys", "Show breaks between less comparable surveys Checkbox": "true"}, {"title": "Gini coefficient", "ySlugs": "consumption_spell_1 consumption_spell_2 consumption_spell_3 consumption_spell_4 consumption_spell_5 consumption_spell_6 consumption_spell_7 income_spell_1 income_spell_2 income_spell_3 income_spell_4 income_spell_5 income_spell_6 income_spell_7 income_spell_8", "subtitle": "The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality. The data relates to income measured after taxes and benefits [per capita](#dod:per-capita). The chart shows breaks in the comparability of the underlying household survey data over time within each country individually.", "yAxisMin": "0.0", "hasMapTab": "false", "tableSlug": "income_2017_gini", "Indicator Dropdown": "Gini coefficient", "selectedFacetStrategy": "entity", "Household survey data type Dropdown": "Income surveys only", "Show breaks between less comparable surveys Checkbox": "true"}, {"note": "The data relates to income measured after taxes and benefits [per capita](#dod:per-capita).", "title": "Income share of the richest 10%", "ySlugs": "consumption_spell_1 consumption_spell_2 consumption_spell_3 consumption_spell_4 consumption_spell_5 consumption_spell_6 consumption_spell_7 income_spell_1 income_spell_2 income_spell_3 income_spell_4 income_spell_5 income_spell_6 income_spell_7 income_spell_8", "subtitle": "The share of after tax income received by the richest 10% of the population. The chart shows breaks in the comparability of the underlying household survey data over time within each country individually.", "yAxisMin": "0.0", "hasMapTab": "false", "tableSlug": "income_2017_decile10_share", "Indicator Dropdown": "Share of the richest 10%", "selectedFacetStrategy": "entity", "Household survey data type Dropdown": "Income surveys only", "Show breaks between less comparable surveys Checkbox": "true"}, {"title": "Palma ratio", "ySlugs": "consumption_spell_1 consumption_spell_2 consumption_spell_3 consumption_spell_4 consumption_spell_5 consumption_spell_6 consumption_spell_7 income_spell_1 income_spell_2 income_spell_3 income_spell_4 income_spell_5 income_spell_6 income_spell_7 income_spell_8", "subtitle": "The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality. The data relates to income measured after taxes and benefits [per capita](#dod:per-capita). The chart shows breaks in the comparability of the underlying household survey data over time within each country individually.", "yAxisMin": "0.0", "hasMapTab": "false", "tableSlug": "income_2017_palma_ratio", "Indicator Dropdown": "Palma ratio", "selectedFacetStrategy": "entity", "Household survey data type Dropdown": "Income surveys only", "Show breaks between less comparable surveys Checkbox": "true"}, {"note": "The data relates to income measured after taxes and benefits [per capita](#dod:per-capita).", "title": "Share of people in relative poverty", "ySlugs": "consumption_spell_1 consumption_spell_2 consumption_spell_3 consumption_spell_4 consumption_spell_5 consumption_spell_6 consumption_spell_7 income_spell_1 income_spell_2 income_spell_3 income_spell_4 income_spell_5 income_spell_6 income_spell_7 income_spell_8", "subtitle": "The share of population with after tax income below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution. The chart shows breaks in the comparability of the underlying household survey data over time within each country individually.", "yAxisMin": "0.0", "hasMapTab": "false", "tableSlug": "income_2017_headcount_ratio_50_median", "Indicator Dropdown": "Share in relative poverty", "selectedFacetStrategy": "entity", "Household survey data type Dropdown": "Income surveys only", "Show breaks between less comparable surveys Checkbox": "true"}, {"note": "The data relates to income measured after taxes and benefits [per capita](#dod:per-capita).", "title": "Mean log deviation", "ySlugs": "consumption_spell_1 consumption_spell_2 consumption_spell_3 consumption_spell_4 consumption_spell_5 consumption_spell_6 consumption_spell_7 income_spell_1 income_spell_2 income_spell_3 income_spell_4 income_spell_5 income_spell_6 income_spell_7 income_spell_8", "subtitle": "The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The chart shows breaks in the comparability of the underlying household survey data over time within each country individually.", "yAxisMin": "0.0", "hasMapTab": "false", "tableSlug": "income_2017_mld", "Indicator Dropdown": "Mean log deviation", "selectedFacetStrategy": "entity", "Household survey data type Dropdown": "Income surveys only", "Show breaks between less comparable surveys Checkbox": "true"}, {"title": "Gini coefficient", "ySlugs": "consumption_spell_1 consumption_spell_2 consumption_spell_3 consumption_spell_4 consumption_spell_5 consumption_spell_6 consumption_spell_7 income_spell_1 income_spell_2 income_spell_3 income_spell_4 income_spell_5 income_spell_6 income_spell_7 income_spell_8", "subtitle": "The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality. The data relates to consumption [per capita](#dod:per-capita). The chart shows breaks in the comparability of the underlying household survey data over time within each country individually.", "yAxisMin": "0.0", "hasMapTab": "false", "tableSlug": "consumption_2017_gini", "Indicator Dropdown": "Gini coefficient", "selectedFacetStrategy": "entity", "Household survey data type Dropdown": "Consumption surveys only", "Show breaks between less comparable surveys Checkbox": "true"}, {"note": "The data relates to consumption [per capita](#dod:per-capita).", "title": "Consumption share of the richest 10%", "ySlugs": "consumption_spell_1 consumption_spell_2 consumption_spell_3 consumption_spell_4 consumption_spell_5 consumption_spell_6 consumption_spell_7 income_spell_1 income_spell_2 income_spell_3 income_spell_4 income_spell_5 income_spell_6 income_spell_7 income_spell_8", "subtitle": "The share of consumption received by the richest 10% of the population. The chart shows breaks in the comparability of the underlying household survey data over time within each country individually.", "yAxisMin": "0.0", "hasMapTab": "false", "tableSlug": "consumption_2017_decile10_share", "Indicator Dropdown": "Share of the richest 10%", "selectedFacetStrategy": "entity", "Household survey data type Dropdown": "Consumption surveys only", "Show breaks between less comparable surveys Checkbox": "true"}, {"title": "Palma ratio", "ySlugs": "consumption_spell_1 consumption_spell_2 consumption_spell_3 consumption_spell_4 consumption_spell_5 consumption_spell_6 consumption_spell_7 income_spell_1 income_spell_2 income_spell_3 income_spell_4 income_spell_5 income_spell_6 income_spell_7 income_spell_8", "subtitle": "The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality. The data relates to consumption [per capita](#dod:per-capita). The chart shows breaks in the comparability of the underlying household survey data over time within each country individually.", "yAxisMin": "0.0", "hasMapTab": "false", "tableSlug": "consumption_2017_palma_ratio", "Indicator Dropdown": "Palma ratio", "selectedFacetStrategy": "entity", "Household survey data type Dropdown": "Consumption surveys only", "Show breaks between less comparable surveys Checkbox": "true"}, {"note": "The data relates to consumption [per capita](#dod:per-capita).", "title": "Share of people in relative poverty", "ySlugs": "consumption_spell_1 consumption_spell_2 consumption_spell_3 consumption_spell_4 consumption_spell_5 consumption_spell_6 consumption_spell_7 income_spell_1 income_spell_2 income_spell_3 income_spell_4 income_spell_5 income_spell_6 income_spell_7 income_spell_8", "subtitle": "The share of population with consumption below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution. The chart shows breaks in the comparability of the underlying household survey data over time within each country individually.", "yAxisMin": "0.0", "hasMapTab": "false", "tableSlug": "consumption_2017_headcount_ratio_50_median", "Indicator Dropdown": "Share in relative poverty", "selectedFacetStrategy": "entity", "Household survey data type Dropdown": "Consumption surveys only", "Show breaks between less comparable surveys Checkbox": "true"}, {"note": "The data relates to consumption [per capita](#dod:per-capita).", "title": "Mean log deviation", "ySlugs": "consumption_spell_1 consumption_spell_2 consumption_spell_3 consumption_spell_4 consumption_spell_5 consumption_spell_6 consumption_spell_7 income_spell_1 income_spell_2 income_spell_3 income_spell_4 income_spell_5 income_spell_6 income_spell_7 income_spell_8", "subtitle": "The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The chart shows breaks in the comparability of the underlying household survey data over time within each country individually.", "yAxisMin": "0.0", "hasMapTab": "false", "tableSlug": "consumption_2017_mld", "Indicator Dropdown": "Mean log deviation", "selectedFacetStrategy": "entity", "Household survey data type Dropdown": "Consumption surveys only", "Show breaks between less comparable surveys Checkbox": "true"}]}, {"args": ["https://catalog.ourworldindata.org/explorers/wb/latest/world_bank_pip/income_consumption_2017.csv", "income_consumption_2017"], "type": "table", "block": null}, {"args": ["income_consumption_2017"], "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 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/.", "colorScaleEqualSizeBins": "true"}, {"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 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/.", "colorScaleEqualSizeBins": "true"}, {"name": "Gini coefficient", "slug": "gini", "type": "Numeric", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\\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\\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/.", "colorScaleScheme": "Oranges", "colorScaleNumericBins": "0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "1.0"}, {"name": "Income or consumption share of the richest 10%", "slug": "decile10_share", "type": "Numeric", "unit": "%", "shortUnit": "%", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The income or consumption of the richest decile (tenth of the population) as a share of total income or consumption.\\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\\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/.", "colorScaleScheme": "OrRd", "colorScaleNumericBins": "20;25;30;35;40;45;50", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "100.0"}, {"name": "Palma ratio", "slug": "palma_ratio", "type": "Numeric", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\\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\\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0.0"}, {"name": "Share in relative poverty", "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": "The share of population with after tax income or consumption below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\\n\\nThis is a measure of _relative_ poverty – 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\\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "3;6;9;12;15;18;21;24;27", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0.0"}, {"name": "Mean Log Deviation", "slug": "mld", "type": "Numeric", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\\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\\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/.", "colorScaleScheme": "RdPu", "colorScaleNumericBins": "0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0.0"}]}, {"args": ["https://catalog.ourworldindata.org/explorers/wb/latest/world_bank_pip/income_2017.csv", "income_2017"], "type": "table", "block": null}, {"args": ["income_2017"], "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 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/.", "colorScaleEqualSizeBins": "true"}, {"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 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/.", "colorScaleEqualSizeBins": "true"}, {"name": "Gini coefficient", "slug": "gini", "type": "Numeric", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\\n\\nThe data relates to income measured after taxes and benefits 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\\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/.", "colorScaleScheme": "Oranges", "colorScaleNumericBins": "0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "1.0"}, {"name": "Income share of the richest 10%", "slug": "decile10_share", "type": "Numeric", "unit": "%", "shortUnit": "%", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The income of the richest decile (tenth of the population) as a share of total income.\\n\\nThe data relates to income measured after taxes and benefits 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\\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/.", "colorScaleScheme": "OrRd", "colorScaleNumericBins": "20;25;30;35;40;45;50", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "100.0"}, {"name": "Palma ratio", "slug": "palma_ratio", "type": "Numeric", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\\n\\nThe data relates to income measured after taxes and benefits 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\\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0.0"}, {"name": "Share in relative poverty", "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": "The share of population with after tax income below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\\n\\nThis is a measure of _relative_ poverty – it captures the share of people whose income is low by the standards typical in their own country.\\n\\nThe data relates to income measured after taxes and benefits 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\\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "3;6;9;12;15;18;21;24;27", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0.0"}, {"name": "Mean Log Deviation", "slug": "mld", "type": "Numeric", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\\n\\nThe data relates to income measured after taxes and benefits 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\\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/.", "colorScaleScheme": "RdPu", "colorScaleNumericBins": "0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0.0"}]}, {"args": ["https://catalog.ourworldindata.org/explorers/wb/latest/world_bank_pip/consumption_2017.csv", "consumption_2017"], "type": "table", "block": null}, {"args": ["consumption_2017"], "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 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/.", "colorScaleEqualSizeBins": "true"}, {"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 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/.", "colorScaleEqualSizeBins": "true"}, {"name": "Gini coefficient", "slug": "gini", "type": "Numeric", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\\n\\nThe data relates 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\\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/.", "colorScaleScheme": "Oranges", "colorScaleNumericBins": "0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "1.0"}, {"name": "Consumption share of the richest 10%", "slug": "decile10_share", "type": "Numeric", "unit": "%", "shortUnit": "%", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The consumption of the richest decile (tenth of the population) as a share of total consumption.\\n\\nThe data relates 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\\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/.", "colorScaleScheme": "OrRd", "colorScaleNumericBins": "20;25;30;35;40;45;50", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "100.0"}, {"name": "Palma ratio", "slug": "palma_ratio", "type": "Numeric", "tolerance": "5", "sourceLink": "https://pip.worldbank.org", "sourceName": "World Bank Poverty and Inequality Platform (2024)", "description": "The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\\n\\nThe data relates 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\\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/.", "colorScaleScheme": "YlOrBr", "colorScaleNumericBins": "0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0.0"}, {"name": "Share in relative poverty", "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": "The share of population with consumption below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\\n\\nThis is a measure of _relative_ poverty – it captures the share of people whose income is low by the standards typical in their own country.\\n\\nThe data relates 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\\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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 (vers |
2024-02-02 18:43:22 | 2025-04-04 04:21:33 | 62 | 2025-02-05 15:19:00 | :bug: keep single quotes | explorerTitle Inequality - World Bank selection Chile Brazil South Africa United States France China explorerSubtitle Explore World Bank data on inequality. isPublished true googleSheet https://docs.google.com/spreadsheets/d/17KJ9YcvfdmO_7-Sv2Ij0vmzAQI6rXSIqHfJtgFHN-a8 wpBlockId 57756 entityType country or region pickerColumnSlugs gini decile10_share palma_ratio headcount_ratio_50_median graphers title ySlugs Indicator Dropdown Household survey data type Dropdown tableSlug subtitle note type yAxisMin selectedFacetStrategy hasMapTab tab Show breaks between less comparable surveys Checkbox relatedQuestionText relatedQuestionUrl defaultView Gini coefficient gini Gini coefficient Show data from both income and consumption surveys income_consumption_2017 The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality. Depending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita). 0.0 true map false true Income or consumption share of the richest 10% decile10_share Share of the richest 10% Show data from both income and consumption surveys income_consumption_2017 The share of after tax income or consumption received by the richest 10% of the population. Depending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita). 0.0 true map false Palma ratio palma_ratio Palma ratio Show data from both income and consumption surveys income_consumption_2017 The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality. Depending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita). 0.0 true map false Share of people in relative poverty headcount_ratio_50_median Share in relative poverty Show data from both income and consumption surveys income_consumption_2017 The share of population with after tax income or consumption below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution. Depending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita). 0.0 true map false Mean log deviation mld Mean log deviation Show data from both income and consumption surveys income_consumption_2017 The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. Depending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita). 0.0 true map false Gini coefficient gini Gini coefficient Income surveys only income_2017 The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality. The data relates to income measured after taxes and benefits [per capita](#dod:per-capita). 0.0 true map false Income share of the richest 10% decile10_share Share of the richest 10% Income surveys only income_2017 The share of after tax income received by the richest 10% of the population. The data relates to income measured after taxes and benefits [per capita](#dod:per-capita). 0.0 true map false Palma ratio palma_ratio Palma ratio Income surveys only income_2017 The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality. The data relates to income measured after taxes and benefits [per capita](#dod:per-capita). 0.0 true map false Share of people in relative poverty headcount_ratio_50_median Share in relative poverty Income surveys only income_2017 The share of population with after tax income below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution. The data relates to income measured after taxes and benefits [per capita](#dod:per-capita). 0.0 true map false Mean log deviation mld Mean log deviation Income surveys only income_2017 The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The data relates to income measured after taxes and benefits [per capita](#dod:per-capita). 0.0 true map false Gini coefficient gini Gini coefficient Consumption surveys only consumption_2017 The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality. The data relates to consumption [per capita](#dod:per-capita). 0.0 true map false Consumption share of the richest 10% decile10_share Share of the richest 10% Consumption surveys only consumption_2017 The share of consumption received by the richest 10% of the population. The data relates to consumption [per capita](#dod:per-capita). 0.0 true map false Palma ratio palma_ratio Palma ratio Consumption surveys only consumption_2017 The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality. The data relates to consumption [per capita](#dod:per-capita). 0.0 true map false Share of people in relative poverty headcount_ratio_50_median Share in relative poverty Consumption surveys only consumption_2017 The share of population with consumption below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution. The data relates to consumption [per capita](#dod:per-capita). 0.0 true map false Mean log deviation mld Mean log deviation Consumption surveys only consumption_2017 The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The data relates to consumption [per capita](#dod:per-capita). 0.0 true map false Gini coefficient consumption_spell_1 consumption_spell_2 consumption_spell_3 consumption_spell_4 consumption_spell_5 consumption_spell_6 consumption_spell_7 income_spell_1 income_spell_2 income_spell_3 income_spell_4 income_spell_5 income_spell_6 income_spell_7 income_spell_8 Gini coefficient Show data from both income and consumption surveys income_consumption_2017_gini The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality. Depending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita). The chart shows breaks in the comparability of the underlying household survey data over time within each country individually. 0.0 entity false true Income or consumption share of the richest 10% consumption_spell_1 consumption_spell_2 consumption_spell_3 consumption_spell_4 consumption_spell_5 consumption_spell_6 consumption_spell_7 income_spell_1 income_spell_2 income_spell_3 income_spell_4 income_spell_5 income_spell_6 income_spell_7 income_spell_8 Share of the richest 10% Show data from both income and consumption surveys income_consumption_2017_decile10_share The share of after tax income or consumption received by the richest 10% of the population. The chart shows breaks in the comparability of the underlying household survey data over time within each country individually. Depending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita). 0.0 entity false true Palma ratio consumption_spell_1 consumption_spell_2 consumption_spell_3 consumption_spell_4 consumption_spell_5 consumption_spell_6 consumption_spell_7 income_spell_1 income_spell_2 income_spell_3 income_spell_4 income_spell_5 income_spell_6 income_spell_7 income_spell_8 Palma ratio Show data from both income and consumption surveys income_consumption_2017_palma_ratio The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality. Depending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita). The chart shows breaks in the comparability of the underlying household survey data over time within each country individually. 0.0 entity false true Share of people in relative poverty consumption_spell_1 consumption_spell_2 consumption_spell_3 consumption_spell_4 consumption_spell_5 consumption_spell_6 consumption_spell_7 income_spell_1 income_spell_2 income_spell_3 income_spell_4 income_spell_5 income_spell_6 income_spell_7 income_spell_8 Share in relative poverty Show data from both income and consumption surveys income_consumption_2017_headcount_ratio_50_median The share of population with after tax income or consumption below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution. The chart shows breaks in the comparability of the underlying household survey data over time within each country individually. Depending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita). 0.0 entity false true Mean log deviation consumption_spell_1 consumption_spell_2 consumption_spell_3 consumption_spell_4 consumption_spell_5 consumption_spell_6 consumption_spell_7 income_spell_1 income_spell_2 income_spell_3 income_spell_4 income_spell_5 income_spell_6 income_spell_7 income_spell_8 Mean log deviation Show data from both income and consumption surveys income_consumption_2017_mld The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The chart shows breaks in the comparability of the underlying household survey data over time within each country individually. Depending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita). 0.0 entity false true Gini coefficient consumption_spell_1 consumption_spell_2 consumption_spell_3 consumption_spell_4 consumption_spell_5 consumption_spell_6 consumption_spell_7 income_spell_1 income_spell_2 income_spell_3 income_spell_4 income_spell_5 income_spell_6 income_spell_7 income_spell_8 Gini coefficient Income surveys only income_2017_gini The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality. The data relates to income measured after taxes and benefits [per capita](#dod:per-capita). The chart shows breaks in the comparability of the underlying household survey data over time within each country individually. 0.0 entity false true Income share of the richest 10% consumption_spell_1 consumption_spell_2 consumption_spell_3 consumption_spell_4 consumption_spell_5 consumption_spell_6 consumption_spell_7 income_spell_1 income_spell_2 income_spell_3 income_spell_4 income_spell_5 income_spell_6 income_spell_7 income_spell_8 Share of the richest 10% Income surveys only income_2017_decile10_share The share of after tax income received by the richest 10% of the population. The chart shows breaks in the comparability of the underlying household survey data over time within each country individually. The data relates to income measured after taxes and benefits [per capita](#dod:per-capita). 0.0 entity false true Palma ratio consumption_spell_1 consumption_spell_2 consumption_spell_3 consumption_spell_4 consumption_spell_5 consumption_spell_6 consumption_spell_7 income_spell_1 income_spell_2 income_spell_3 income_spell_4 income_spell_5 income_spell_6 income_spell_7 income_spell_8 Palma ratio Income surveys only income_2017_palma_ratio The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality. The data relates to income measured after taxes and benefits [per capita](#dod:per-capita). The chart shows breaks in the comparability of the underlying household survey data over time within each country individually. 0.0 entity false true Share of people in relative poverty consumption_spell_1 consumption_spell_2 consumption_spell_3 consumption_spell_4 consumption_spell_5 consumption_spell_6 consumption_spell_7 income_spell_1 income_spell_2 income_spell_3 income_spell_4 income_spell_5 income_spell_6 income_spell_7 income_spell_8 Share in relative poverty Income surveys only income_2017_headcount_ratio_50_median The share of population with after tax income below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution. The chart shows breaks in the comparability of the underlying household survey data over time within each country individually. The data relates to income measured after taxes and benefits [per capita](#dod:per-capita). 0.0 entity false true Mean log deviation consumption_spell_1 consumption_spell_2 consumption_spell_3 consumption_spell_4 consumption_spell_5 consumption_spell_6 consumption_spell_7 income_spell_1 income_spell_2 income_spell_3 income_spell_4 income_spell_5 income_spell_6 income_spell_7 income_spell_8 Mean log deviation Income surveys only income_2017_mld The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The chart shows breaks in the comparability of the underlying household survey data over time within each country individually. The data relates to income measured after taxes and benefits [per capita](#dod:per-capita). 0.0 entity false true Gini coefficient consumption_spell_1 consumption_spell_2 consumption_spell_3 consumption_spell_4 consumption_spell_5 consumption_spell_6 consumption_spell_7 income_spell_1 income_spell_2 income_spell_3 income_spell_4 income_spell_5 income_spell_6 income_spell_7 income_spell_8 Gini coefficient Consumption surveys only consumption_2017_gini The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality. The data relates to consumption [per capita](#dod:per-capita). The chart shows breaks in the comparability of the underlying household survey data over time within each country individually. 0.0 entity false true Consumption share of the richest 10% consumption_spell_1 consumption_spell_2 consumption_spell_3 consumption_spell_4 consumption_spell_5 consumption_spell_6 consumption_spell_7 income_spell_1 income_spell_2 income_spell_3 income_spell_4 income_spell_5 income_spell_6 income_spell_7 income_spell_8 Share of the richest 10% Consumption surveys only consumption_2017_decile10_share The share of consumption received by the richest 10% of the population. The chart shows breaks in the comparability of the underlying household survey data over time within each country individually. The data relates to consumption [per capita](#dod:per-capita). 0.0 entity false true Palma ratio consumption_spell_1 consumption_spell_2 consumption_spell_3 consumption_spell_4 consumption_spell_5 consumption_spell_6 consumption_spell_7 income_spell_1 income_spell_2 income_spell_3 income_spell_4 income_spell_5 income_spell_6 income_spell_7 income_spell_8 Palma ratio Consumption surveys only consumption_2017_palma_ratio The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality. The data relates to consumption [per capita](#dod:per-capita). The chart shows breaks in the comparability of the underlying household survey data over time within each country individually. 0.0 entity false true Share of people in relative poverty consumption_spell_1 consumption_spell_2 consumption_spell_3 consumption_spell_4 consumption_spell_5 consumption_spell_6 consumption_spell_7 income_spell_1 income_spell_2 income_spell_3 income_spell_4 income_spell_5 income_spell_6 income_spell_7 income_spell_8 Share in relative poverty Consumption surveys only consumption_2017_headcount_ratio_50_median The share of population with consumption below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution. The chart shows breaks in the comparability of the underlying household survey data over time within each country individually. The data relates to consumption [per capita](#dod:per-capita). 0.0 entity false true Mean log deviation consumption_spell_1 consumption_spell_2 consumption_spell_3 consumption_spell_4 consumption_spell_5 consumption_spell_6 consumption_spell_7 income_spell_1 income_spell_2 income_spell_3 income_spell_4 income_spell_5 income_spell_6 income_spell_7 income_spell_8 Mean log deviation Consumption surveys only consumption_2017_mld The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The chart shows breaks in the comparability of the underlying household survey data over time within each country individually. The data relates to consumption [per capita](#dod:per-capita). 0.0 entity false true table https://catalog.ourworldindata.org/explorers/wb/latest/world_bank_pip/income_consumption_2017.csv income_consumption_2017 columns income_consumption_2017 name slug type description unit shortUnit colorScaleNumericMinValue colorScaleNumericBins colorScaleScheme sourceName dataPublishedBy sourceLink tolerance colorScaleEqualSizeBins Country country EntityName World Bank Poverty and Inequality Platform (2024) World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. https://pip.worldbank.org 5 true Year year Year World Bank Poverty and Inequality Platform (2024) World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. https://pip.worldbank.org 5 true Gini coefficient gini Numeric The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 Oranges World Bank Poverty and Inequality Platform (2024) World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. https://pip.worldbank.org 5 true Income or consumption share of the richest 10% decile10_share Numeric The income or consumption of the richest decile (tenth of the population) as a share of total income or consumption.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. % % 100.0 20;25;30;35;40;45;50 OrRd World Bank Poverty and Inequality Platform (2024) World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. https://pip.worldbank.org 5 true Palma ratio palma_ratio Numeric The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 YlOrBr World Bank Poverty and Inequality Platform (2024) World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. https://pip.worldbank.org 5 true Share in relative poverty headcount_ratio_50_median Numeric The share of population with after tax income or consumption below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. % % 0.0 3;6;9;12;15;18;21;24;27 YlOrBr World Bank Poverty and Inequality Platform (2024) World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. https://pip.worldbank.org 5 true Mean Log Deviation mld Numeric The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 RdPu World Bank Poverty and Inequality Platform (2024) World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. https://pip.worldbank.org 5 true table https://catalog.ourworldindata.org/explorers/wb/latest/world_bank_pip/income_2017.csv income_2017 columns income_2017 name slug type description unit shortUnit colorScaleNumericMinValue colorScaleNumericBins colorScaleScheme sourceName dataPublishedBy sourceLink tolerance colorScaleEqualSizeBins Country country EntityName World Bank Poverty and Inequality Platform (2024) World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. https://pip.worldbank.org 5 true Year year Year World Bank Poverty and Inequality Platform (2024) World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. https://pip.worldbank.org 5 true Gini coefficient gini Numeric The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 Oranges World Bank Poverty and Inequality Platform (2024) World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. https://pip.worldbank.org 5 true Income share of the richest 10% decile10_share Numeric The income of the richest decile (tenth of the population) as a share of total income.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. % % 100.0 20;25;30;35;40;45;50 OrRd World Bank Poverty and Inequality Platform (2024) World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. https://pip.worldbank.org 5 true Palma ratio palma_ratio Numeric The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 YlOrBr World Bank Poverty and Inequality Platform (2024) World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. https://pip.worldbank.org 5 true Share in relative poverty headcount_ratio_50_median Numeric The share of population with after tax income below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – it captures the share of people whose income is low by the standards typical in their own country.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. % % 0.0 3;6;9;12;15;18;21;24;27 YlOrBr World Bank Poverty and Inequality Platform (2024) World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. https://pip.worldbank.org 5 true Mean Log Deviation mld Numeric The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 RdPu World Bank Poverty and Inequality Platform (2024) World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. https://pip.worldbank.org 5 true table https://catalog.ourworldindata.org/explorers/wb/latest/world_bank_pip/consumption_2017.csv consumption_2017 columns consumption_2017 name slug type description unit shortUnit colorScaleNumericMinValue colorScaleNumericBins colorScaleScheme sourceName dataPublishedBy sourceLink tolerance colorScaleEqualSizeBins Country country EntityName World Bank Poverty and Inequality Platform (2024) World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. https://pip.worldbank.org 5 true Year year Year World Bank Poverty and Inequality Platform (2024) World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. https://pip.worldbank.org 5 true Gini coefficient gini Numeric The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 Oranges World Bank Poverty and Inequality Platform (2024) World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. https://pip.worldbank.org 5 true Consumption share of the richest 10% decile10_share Numeric The consumption of the richest decile (tenth of the population) as a share of total consumption.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. % % 100.0 20;25;30;35;40;45;50 OrRd World Bank Poverty and Inequality Platform (2024) World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. https://pip.worldbank.org 5 true Palma ratio palma_ratio Numeric The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 YlOrBr World Bank Poverty and Inequality Platform (2024) World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. https://pip.worldbank.org 5 true Share in relative poverty headcount_ratio_50_median Numeric The share of population with consumption below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – it captures the share of people whose income is low by the standards typical in their own country.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. % % 0.0 3;6;9;12;15;18;21;24;27 YlOrBr World Bank Poverty and Inequality Platform (2024) World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. https://pip.worldbank.org 5 true Mean Log Deviation mld Numeric The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 RdPu World Bank Poverty and Inequality Platform (2024) World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. https://pip.worldbank.org 5 true table https://catalog.ourworldindata.org/explorers/wb/latest/world_bank_pip/income_consumption_2017_gini.csv income_consumption_2017_gini columns income_consumption_2017_gini name slug type sourceName description sourceLink dataPublishedBy unit shortUnit tolerance colorScaleNumericMinValue colorScaleNumericBins colorScaleEqualSizeBins colorScaleScheme Country country EntityName Year year Year Consumption surveys consumption_spell_1 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Consumption surveys consumption_spell_2 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Consumption surveys consumption_spell_3 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Consumption surveys consumption_spell_4 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Consumption surveys consumption_spell_5 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Consumption surveys consumption_spell_6 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Consumption surveys consumption_spell_7 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Income surveys income_spell_1 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Income surveys income_spell_2 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Income surveys income_spell_3 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Income surveys income_spell_4 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Income surveys income_spell_5 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Income surveys income_spell_6 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Income surveys income_spell_7 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Income surveys income_spell_8 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges table https://catalog.ourworldindata.org/explorers/wb/latest/world_bank_pip/income_2017_gini.csv income_2017_gini columns income_2017_gini name slug type sourceName description sourceLink dataPublishedBy unit shortUnit tolerance colorScaleNumericMinValue colorScaleNumericBins colorScaleEqualSizeBins colorScaleScheme Country country EntityName Year year Year Consumption surveys consumption_spell_1 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Consumption surveys consumption_spell_2 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Consumption surveys consumption_spell_3 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Consumption surveys consumption_spell_4 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Consumption surveys consumption_spell_5 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Consumption surveys consumption_spell_6 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Consumption surveys consumption_spell_7 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Income surveys income_spell_1 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Income surveys income_spell_2 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Income surveys income_spell_3 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Income surveys income_spell_4 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Income surveys income_spell_5 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Income surveys income_spell_6 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Income surveys income_spell_7 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Income surveys income_spell_8 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges table https://catalog.ourworldindata.org/explorers/wb/latest/world_bank_pip/consumption_2017_gini.csv consumption_2017_gini columns consumption_2017_gini name slug type sourceName description sourceLink dataPublishedBy unit shortUnit tolerance colorScaleNumericMinValue colorScaleNumericBins colorScaleEqualSizeBins colorScaleScheme Country country EntityName Year year Year Consumption surveys consumption_spell_1 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Consumption surveys consumption_spell_2 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Consumption surveys consumption_spell_3 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Consumption surveys consumption_spell_4 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Consumption surveys consumption_spell_5 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Consumption surveys consumption_spell_6 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Consumption surveys consumption_spell_7 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Income surveys income_spell_1 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Income surveys income_spell_2 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Income surveys income_spell_3 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Income surveys income_spell_4 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Income surveys income_spell_5 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Income surveys income_spell_6 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Income surveys income_spell_7 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges Income surveys income_spell_8 Numeric World Bank Poverty and Inequality Platform (2024) The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 1.0 0.25;0.3;0.35;0.4;0.45;0.5;0.55;0.6 true Oranges table https://catalog.ourworldindata.org/explorers/wb/latest/world_bank_pip/income_consumption_2017_decile10_share.csv income_consumption_2017_decile10_share columns income_consumption_2017_decile10_share name slug type sourceName description sourceLink dataPublishedBy unit shortUnit tolerance colorScaleNumericMinValue colorScaleNumericBins colorScaleEqualSizeBins colorScaleScheme Country country EntityName Year year Year Consumption surveys consumption_spell_1 Numeric World Bank Poverty and Inequality Platform (2024) The income or consumption of the richest decile (tenth of the population) as a share of total income or consumption.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Consumption surveys consumption_spell_2 Numeric World Bank Poverty and Inequality Platform (2024) The income or consumption of the richest decile (tenth of the population) as a share of total income or consumption.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Consumption surveys consumption_spell_3 Numeric World Bank Poverty and Inequality Platform (2024) The income or consumption of the richest decile (tenth of the population) as a share of total income or consumption.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Consumption surveys consumption_spell_4 Numeric World Bank Poverty and Inequality Platform (2024) The income or consumption of the richest decile (tenth of the population) as a share of total income or consumption.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Consumption surveys consumption_spell_5 Numeric World Bank Poverty and Inequality Platform (2024) The income or consumption of the richest decile (tenth of the population) as a share of total income or consumption.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Consumption surveys consumption_spell_6 Numeric World Bank Poverty and Inequality Platform (2024) The income or consumption of the richest decile (tenth of the population) as a share of total income or consumption.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Consumption surveys consumption_spell_7 Numeric World Bank Poverty and Inequality Platform (2024) The income or consumption of the richest decile (tenth of the population) as a share of total income or consumption.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Income surveys income_spell_1 Numeric World Bank Poverty and Inequality Platform (2024) The income or consumption of the richest decile (tenth of the population) as a share of total income or consumption.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Income surveys income_spell_2 Numeric World Bank Poverty and Inequality Platform (2024) The income or consumption of the richest decile (tenth of the population) as a share of total income or consumption.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Income surveys income_spell_3 Numeric World Bank Poverty and Inequality Platform (2024) The income or consumption of the richest decile (tenth of the population) as a share of total income or consumption.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Income surveys income_spell_4 Numeric World Bank Poverty and Inequality Platform (2024) The income or consumption of the richest decile (tenth of the population) as a share of total income or consumption.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Income surveys income_spell_5 Numeric World Bank Poverty and Inequality Platform (2024) The income or consumption of the richest decile (tenth of the population) as a share of total income or consumption.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Income surveys income_spell_6 Numeric World Bank Poverty and Inequality Platform (2024) The income or consumption of the richest decile (tenth of the population) as a share of total income or consumption.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Income surveys income_spell_7 Numeric World Bank Poverty and Inequality Platform (2024) The income or consumption of the richest decile (tenth of the population) as a share of total income or consumption.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Income surveys income_spell_8 Numeric World Bank Poverty and Inequality Platform (2024) The income or consumption of the richest decile (tenth of the population) as a share of total income or consumption.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd table https://catalog.ourworldindata.org/explorers/wb/latest/world_bank_pip/income_2017_decile10_share.csv income_2017_decile10_share columns income_2017_decile10_share name slug type sourceName description sourceLink dataPublishedBy unit shortUnit tolerance colorScaleNumericMinValue colorScaleNumericBins colorScaleEqualSizeBins colorScaleScheme Country country EntityName Year year Year Consumption surveys consumption_spell_1 Numeric World Bank Poverty and Inequality Platform (2024) The income of the richest decile (tenth of the population) as a share of total income.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Consumption surveys consumption_spell_2 Numeric World Bank Poverty and Inequality Platform (2024) The income of the richest decile (tenth of the population) as a share of total income.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Consumption surveys consumption_spell_3 Numeric World Bank Poverty and Inequality Platform (2024) The income of the richest decile (tenth of the population) as a share of total income.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Consumption surveys consumption_spell_4 Numeric World Bank Poverty and Inequality Platform (2024) The income of the richest decile (tenth of the population) as a share of total income.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Consumption surveys consumption_spell_5 Numeric World Bank Poverty and Inequality Platform (2024) The income of the richest decile (tenth of the population) as a share of total income.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Consumption surveys consumption_spell_6 Numeric World Bank Poverty and Inequality Platform (2024) The income of the richest decile (tenth of the population) as a share of total income.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Consumption surveys consumption_spell_7 Numeric World Bank Poverty and Inequality Platform (2024) The income of the richest decile (tenth of the population) as a share of total income.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Income surveys income_spell_1 Numeric World Bank Poverty and Inequality Platform (2024) The income of the richest decile (tenth of the population) as a share of total income.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Income surveys income_spell_2 Numeric World Bank Poverty and Inequality Platform (2024) The income of the richest decile (tenth of the population) as a share of total income.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Income surveys income_spell_3 Numeric World Bank Poverty and Inequality Platform (2024) The income of the richest decile (tenth of the population) as a share of total income.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Income surveys income_spell_4 Numeric World Bank Poverty and Inequality Platform (2024) The income of the richest decile (tenth of the population) as a share of total income.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Income surveys income_spell_5 Numeric World Bank Poverty and Inequality Platform (2024) The income of the richest decile (tenth of the population) as a share of total income.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Income surveys income_spell_6 Numeric World Bank Poverty and Inequality Platform (2024) The income of the richest decile (tenth of the population) as a share of total income.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Income surveys income_spell_7 Numeric World Bank Poverty and Inequality Platform (2024) The income of the richest decile (tenth of the population) as a share of total income.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Income surveys income_spell_8 Numeric World Bank Poverty and Inequality Platform (2024) The income of the richest decile (tenth of the population) as a share of total income.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd table https://catalog.ourworldindata.org/explorers/wb/latest/world_bank_pip/consumption_2017_decile10_share.csv consumption_2017_decile10_share columns consumption_2017_decile10_share name slug type sourceName description sourceLink dataPublishedBy unit shortUnit tolerance colorScaleNumericMinValue colorScaleNumericBins colorScaleEqualSizeBins colorScaleScheme Country country EntityName Year year Year Consumption surveys consumption_spell_1 Numeric World Bank Poverty and Inequality Platform (2024) The consumption of the richest decile (tenth of the population) as a share of total consumption.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Consumption surveys consumption_spell_2 Numeric World Bank Poverty and Inequality Platform (2024) The consumption of the richest decile (tenth of the population) as a share of total consumption.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Consumption surveys consumption_spell_3 Numeric World Bank Poverty and Inequality Platform (2024) The consumption of the richest decile (tenth of the population) as a share of total consumption.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Consumption surveys consumption_spell_4 Numeric World Bank Poverty and Inequality Platform (2024) The consumption of the richest decile (tenth of the population) as a share of total consumption.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Consumption surveys consumption_spell_5 Numeric World Bank Poverty and Inequality Platform (2024) The consumption of the richest decile (tenth of the population) as a share of total consumption.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Consumption surveys consumption_spell_6 Numeric World Bank Poverty and Inequality Platform (2024) The consumption of the richest decile (tenth of the population) as a share of total consumption.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Consumption surveys consumption_spell_7 Numeric World Bank Poverty and Inequality Platform (2024) The consumption of the richest decile (tenth of the population) as a share of total consumption.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Income surveys income_spell_1 Numeric World Bank Poverty and Inequality Platform (2024) The consumption of the richest decile (tenth of the population) as a share of total consumption.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Income surveys income_spell_2 Numeric World Bank Poverty and Inequality Platform (2024) The consumption of the richest decile (tenth of the population) as a share of total consumption.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Income surveys income_spell_3 Numeric World Bank Poverty and Inequality Platform (2024) The consumption of the richest decile (tenth of the population) as a share of total consumption.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Income surveys income_spell_4 Numeric World Bank Poverty and Inequality Platform (2024) The consumption of the richest decile (tenth of the population) as a share of total consumption.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Income surveys income_spell_5 Numeric World Bank Poverty and Inequality Platform (2024) The consumption of the richest decile (tenth of the population) as a share of total consumption.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Income surveys income_spell_6 Numeric World Bank Poverty and Inequality Platform (2024) The consumption of the richest decile (tenth of the population) as a share of total consumption.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Income surveys income_spell_7 Numeric World Bank Poverty and Inequality Platform (2024) The consumption of the richest decile (tenth of the population) as a share of total consumption.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd Income surveys income_spell_8 Numeric World Bank Poverty and Inequality Platform (2024) The consumption of the richest decile (tenth of the population) as a share of total consumption.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 100.0 20;25;30;35;40;45;50 true OrRd table https://catalog.ourworldindata.org/explorers/wb/latest/world_bank_pip/income_consumption_2017_palma_ratio.csv income_consumption_2017_palma_ratio columns income_consumption_2017_palma_ratio name slug type sourceName description sourceLink dataPublishedBy unit shortUnit tolerance colorScaleNumericMinValue colorScaleNumericBins colorScaleEqualSizeBins colorScaleScheme Country country EntityName Year year Year Consumption surveys consumption_spell_1 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Consumption surveys consumption_spell_2 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Consumption surveys consumption_spell_3 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Consumption surveys consumption_spell_4 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Consumption surveys consumption_spell_5 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Consumption surveys consumption_spell_6 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Consumption surveys consumption_spell_7 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Income surveys income_spell_1 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Income surveys income_spell_2 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Income surveys income_spell_3 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Income surveys income_spell_4 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Income surveys income_spell_5 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Income surveys income_spell_6 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Income surveys income_spell_7 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Income surveys income_spell_8 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr table https://catalog.ourworldindata.org/explorers/wb/latest/world_bank_pip/income_2017_palma_ratio.csv income_2017_palma_ratio columns income_2017_palma_ratio name slug type sourceName description sourceLink dataPublishedBy unit shortUnit tolerance colorScaleNumericMinValue colorScaleNumericBins colorScaleEqualSizeBins colorScaleScheme Country country EntityName Year year Year Consumption surveys consumption_spell_1 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Consumption surveys consumption_spell_2 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Consumption surveys consumption_spell_3 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Consumption surveys consumption_spell_4 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Consumption surveys consumption_spell_5 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Consumption surveys consumption_spell_6 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Consumption surveys consumption_spell_7 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Income surveys income_spell_1 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Income surveys income_spell_2 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Income surveys income_spell_3 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Income surveys income_spell_4 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Income surveys income_spell_5 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Income surveys income_spell_6 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Income surveys income_spell_7 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Income surveys income_spell_8 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr table https://catalog.ourworldindata.org/explorers/wb/latest/world_bank_pip/consumption_2017_palma_ratio.csv consumption_2017_palma_ratio columns consumption_2017_palma_ratio name slug type sourceName description sourceLink dataPublishedBy unit shortUnit tolerance colorScaleNumericMinValue colorScaleNumericBins colorScaleEqualSizeBins colorScaleScheme Country country EntityName Year year Year Consumption surveys consumption_spell_1 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Consumption surveys consumption_spell_2 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Consumption surveys consumption_spell_3 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Consumption surveys consumption_spell_4 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Consumption surveys consumption_spell_5 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Consumption surveys consumption_spell_6 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Consumption surveys consumption_spell_7 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Income surveys income_spell_1 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Income surveys income_spell_2 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Income surveys income_spell_3 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Income surveys income_spell_4 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Income surveys income_spell_5 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Income surveys income_spell_6 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Income surveys income_spell_7 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr Income surveys income_spell_8 Numeric World Bank Poverty and Inequality Platform (2024) The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.5;1;1.5;2;2.5;3;3.5;4;4.5;5;5.5 true YlOrBr table https://catalog.ourworldindata.org/explorers/wb/latest/world_bank_pip/income_consumption_2017_headcount_ratio_50_median.csv income_consumption_2017_headcount_ratio_50_median columns income_consumption_2017_headcount_ratio_50_median name slug type sourceName description sourceLink dataPublishedBy unit shortUnit tolerance colorScaleNumericMinValue colorScaleNumericBins colorScaleEqualSizeBins colorScaleScheme Country country EntityName Year year Year Consumption surveys consumption_spell_1 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with after tax income or consumption below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Consumption surveys consumption_spell_2 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with after tax income or consumption below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Consumption surveys consumption_spell_3 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with after tax income or consumption below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Consumption surveys consumption_spell_4 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with after tax income or consumption below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Consumption surveys consumption_spell_5 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with after tax income or consumption below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Consumption surveys consumption_spell_6 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with after tax income or consumption below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Consumption surveys consumption_spell_7 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with after tax income or consumption below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Income surveys income_spell_1 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with after tax income or consumption below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Income surveys income_spell_2 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with after tax income or consumption below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Income surveys income_spell_3 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with after tax income or consumption below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Income surveys income_spell_4 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with after tax income or consumption below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Income surveys income_spell_5 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with after tax income or consumption below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Income surveys income_spell_6 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with after tax income or consumption below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Income surveys income_spell_7 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with after tax income or consumption below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Income surveys income_spell_8 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with after tax income or consumption below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr table https://catalog.ourworldindata.org/explorers/wb/latest/world_bank_pip/income_2017_headcount_ratio_50_median.csv income_2017_headcount_ratio_50_median columns income_2017_headcount_ratio_50_median name slug type sourceName description sourceLink dataPublishedBy unit shortUnit tolerance colorScaleNumericMinValue colorScaleNumericBins colorScaleEqualSizeBins colorScaleScheme Country country EntityName Year year Year Consumption surveys consumption_spell_1 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with after tax income below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – it captures the share of people whose income is low by the standards typical in their own country.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Consumption surveys consumption_spell_2 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with after tax income below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – it captures the share of people whose income is low by the standards typical in their own country.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Consumption surveys consumption_spell_3 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with after tax income below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – it captures the share of people whose income is low by the standards typical in their own country.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Consumption surveys consumption_spell_4 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with after tax income below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – it captures the share of people whose income is low by the standards typical in their own country.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Consumption surveys consumption_spell_5 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with after tax income below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – it captures the share of people whose income is low by the standards typical in their own country.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Consumption surveys consumption_spell_6 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with after tax income below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – it captures the share of people whose income is low by the standards typical in their own country.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Consumption surveys consumption_spell_7 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with after tax income below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – it captures the share of people whose income is low by the standards typical in their own country.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Income surveys income_spell_1 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with after tax income below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – it captures the share of people whose income is low by the standards typical in their own country.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Income surveys income_spell_2 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with after tax income below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – it captures the share of people whose income is low by the standards typical in their own country.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Income surveys income_spell_3 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with after tax income below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – it captures the share of people whose income is low by the standards typical in their own country.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Income surveys income_spell_4 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with after tax income below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – it captures the share of people whose income is low by the standards typical in their own country.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Income surveys income_spell_5 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with after tax income below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – it captures the share of people whose income is low by the standards typical in their own country.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Income surveys income_spell_6 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with after tax income below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – it captures the share of people whose income is low by the standards typical in their own country.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Income surveys income_spell_7 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with after tax income below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – it captures the share of people whose income is low by the standards typical in their own country.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Income surveys income_spell_8 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with after tax income below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – it captures the share of people whose income is low by the standards typical in their own country.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr table https://catalog.ourworldindata.org/explorers/wb/latest/world_bank_pip/consumption_2017_headcount_ratio_50_median.csv consumption_2017_headcount_ratio_50_median columns consumption_2017_headcount_ratio_50_median name slug type sourceName description sourceLink dataPublishedBy unit shortUnit tolerance colorScaleNumericMinValue colorScaleNumericBins colorScaleEqualSizeBins colorScaleScheme Country country EntityName Year year Year Consumption surveys consumption_spell_1 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with consumption below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – it captures the share of people whose income is low by the standards typical in their own country.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Consumption surveys consumption_spell_2 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with consumption below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – it captures the share of people whose income is low by the standards typical in their own country.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Consumption surveys consumption_spell_3 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with consumption below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – it captures the share of people whose income is low by the standards typical in their own country.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Consumption surveys consumption_spell_4 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with consumption below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – it captures the share of people whose income is low by the standards typical in their own country.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Consumption surveys consumption_spell_5 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with consumption below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – it captures the share of people whose income is low by the standards typical in their own country.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Consumption surveys consumption_spell_6 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with consumption below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – it captures the share of people whose income is low by the standards typical in their own country.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Consumption surveys consumption_spell_7 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with consumption below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – it captures the share of people whose income is low by the standards typical in their own country.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Income surveys income_spell_1 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with consumption below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – it captures the share of people whose income is low by the standards typical in their own country.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Income surveys income_spell_2 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with consumption below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – it captures the share of people whose income is low by the standards typical in their own country.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Income surveys income_spell_3 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with consumption below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – it captures the share of people whose income is low by the standards typical in their own country.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Income surveys income_spell_4 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with consumption below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – it captures the share of people whose income is low by the standards typical in their own country.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Income surveys income_spell_5 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with consumption below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – it captures the share of people whose income is low by the standards typical in their own country.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Income surveys income_spell_6 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with consumption below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – it captures the share of people whose income is low by the standards typical in their own country.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Income surveys income_spell_7 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with consumption below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – it captures the share of people whose income is low by the standards typical in their own country.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr Income surveys income_spell_8 Numeric World Bank Poverty and Inequality Platform (2024) The share of population with consumption below 50% of the median. Relative poverty reflects the extent of inequality within the bottom of the distribution.\n\nThis is a measure of _relative_ poverty – it captures the share of people whose income is low by the standards typical in their own country.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. % % 5 0.0 3;6;9;12;15;18;21;24;27 true YlOrBr table https://catalog.ourworldindata.org/explorers/wb/latest/world_bank_pip/income_consumption_2017_mld.csv income_consumption_2017_mld columns income_consumption_2017_mld name slug type sourceName description sourceLink dataPublishedBy unit shortUnit tolerance colorScaleNumericMinValue colorScaleNumericBins colorScaleEqualSizeBins colorScaleScheme Country country EntityName Year year Year Consumption surveys consumption_spell_1 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Consumption surveys consumption_spell_2 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Consumption surveys consumption_spell_3 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Consumption surveys consumption_spell_4 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Consumption surveys consumption_spell_5 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Consumption surveys consumption_spell_6 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Consumption surveys consumption_spell_7 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Income surveys income_spell_1 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Income surveys income_spell_2 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Income surveys income_spell_3 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Income surveys income_spell_4 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Income surveys income_spell_5 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Income surveys income_spell_6 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Income surveys income_spell_7 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Income surveys income_spell_8 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu table https://catalog.ourworldindata.org/explorers/wb/latest/world_bank_pip/income_2017_mld.csv income_2017_mld columns income_2017_mld name slug type sourceName description sourceLink dataPublishedBy unit shortUnit tolerance colorScaleNumericMinValue colorScaleNumericBins colorScaleEqualSizeBins colorScaleScheme Country country EntityName Year year Year Consumption surveys consumption_spell_1 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Consumption surveys consumption_spell_2 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Consumption surveys consumption_spell_3 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Consumption surveys consumption_spell_4 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Consumption surveys consumption_spell_5 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Consumption surveys consumption_spell_6 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Consumption surveys consumption_spell_7 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Income surveys income_spell_1 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Income surveys income_spell_2 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Income surveys income_spell_3 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Income surveys income_spell_4 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Income surveys income_spell_5 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Income surveys income_spell_6 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Income surveys income_spell_7 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Income surveys income_spell_8 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\n\nThe data relates to income measured after taxes and benefits 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu table https://catalog.ourworldindata.org/explorers/wb/latest/world_bank_pip/consumption_2017_mld.csv consumption_2017_mld columns consumption_2017_mld name slug type sourceName description sourceLink dataPublishedBy unit shortUnit tolerance colorScaleNumericMinValue colorScaleNumericBins colorScaleEqualSizeBins colorScaleScheme Country country EntityName Year year Year Consumption surveys consumption_spell_1 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Consumption surveys consumption_spell_2 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Consumption surveys consumption_spell_3 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Consumption surveys consumption_spell_4 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Consumption surveys consumption_spell_5 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Consumption surveys consumption_spell_6 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Consumption surveys consumption_spell_7 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Income surveys income_spell_1 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Income surveys income_spell_2 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Income surveys income_spell_3 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Income surveys income_spell_4 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Income surveys income_spell_5 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Income surveys income_spell_6 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Income surveys income_spell_7 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu Income surveys income_spell_8 Numeric World Bank Poverty and Inequality Platform (2024) The mean log deviation (MLD) is a measure of inequality. An MLD of zero indicates perfect equality and it takes on larger positive values as incomes become more unequal. The measure is also referred to as 'Theil L' or 'GE(0)', in reference to the wider families of inequality measures to which the MLD belongs.\n\nThe data relates 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\nRegional and global estimates are extrapolated up until the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts).\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 by selecting _Income surveys only_ or _Consumption surveys only_ in the Household survey data type dropdown or by clicking on _Show breaks between less comparable surveys_. 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. https://pip.worldbank.org World Bank (2024). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. 5 0.0 0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1 true RdPu | True |