explorers: 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. Depending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita.",
                    "yAxisMin": "0.0",
                    "hasMapTab": "true",
                    "tableSlug": "income_consumption_2017",
                    "defaultView": "true",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Gini coefficient",
                    "Household survey data type Dropdown": "Show data from both income and consumption surveys",
                    "Show breaks between less comparable surveys Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "Depending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita.",
                    "title": "Income or consumption share of the richest 10%",
                    "ySlugs": "decile10_share",
                    "subtitle": "The share of after tax income or consumption received by the richest 10% of the population.",
                    "yAxisMin": "0.0",
                    "hasMapTab": "true",
                    "tableSlug": "income_consumption_2017",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share of the richest 10%",
                    "Household survey data type Dropdown": "Show data from both income and consumption surveys",
                    "Show breaks between less comparable surveys Checkbox": "false"
                },
                {
                    "tab": "map",
                    "title": "Palma ratio",
                    "ySlugs": "palma_ratio",
                    "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. Depending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita.",
                    "yAxisMin": "0.0",
                    "hasMapTab": "true",
                    "tableSlug": "income_consumption_2017",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Palma ratio",
                    "Household survey data type Dropdown": "Show data from both income and consumption surveys",
                    "Show breaks between less comparable surveys Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "Depending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita.",
                    "title": "Share of people in relative poverty",
                    "ySlugs": "headcount_ratio_50_median",
                    "subtitle": "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.",
                    "yAxisMin": "0.0",
                    "hasMapTab": "true",
                    "tableSlug": "income_consumption_2017",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in relative poverty",
                    "Household survey data type Dropdown": "Show data from both income and consumption surveys",
                    "Show breaks between less comparable surveys Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "Depending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita.",
                    "title": "Mean log deviation",
                    "ySlugs": "mld",
                    "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.",
                    "yAxisMin": "0.0",
                    "hasMapTab": "true",
                    "tableSlug": "income_consumption_2017",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Mean log deviation",
                    "Household survey data type Dropdown": "Show data from both income and consumption surveys",
                    "Show breaks between less comparable surveys Checkbox": "false"
                },
                {
                    "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. The data relates to income measured after taxes and benefits per capita.",
                    "yAxisMin": "0.0",
                    "hasMapTab": "true",
                    "tableSlug": "income_2017",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Gini coefficient",
                    "Household survey data type Dropdown": "Income surveys only",
                    "Show breaks between less comparable surveys Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "The data relates to income measured after taxes and benefits per capita.",
                    "title": "Income share of the richest 10%",
                    "ySlugs": "decile10_share",
                    "subtitle": "The share of after tax income received by the richest 10% of the population.",
                    "yAxisMin": "0.0",
                    "hasMapTab": "true",
                    "tableSlug": "income_2017",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share of the richest 10%",
                    "Household survey data type Dropdown": "Income surveys only",
                    "Show breaks between less comparable surveys Checkbox": "false"
                },
                {
                    "tab": "map",
                    "title": "Palma ratio",
                    "ySlugs": "palma_ratio",
                    "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.",
                    "yAxisMin": "0.0",
                    "hasMapTab": "true",
                    "tableSlug": "income_2017",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Palma ratio",
                    "Household survey data type Dropdown": "Income surveys only",
                    "Show breaks between less comparable surveys Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "The data relates to income measured after taxes and benefits per capita.",
                    "title": "Share of people in relative poverty",
                    "ySlugs": "headcount_ratio_50_median",
                    "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.",
                    "yAxisMin": "0.0",
                    "hasMapTab": "true",
                    "tableSlug": "income_2017",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in relative poverty",
                    "Household survey data type Dropdown": "Income surveys only",
                    "Show breaks between less comparable surveys Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "The data relates to income measured after taxes and benefits per capita.",
                    "title": "Mean log deviation",
                    "ySlugs": "mld",
                    "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.",
                    "yAxisMin": "0.0",
                    "hasMapTab": "true",
                    "tableSlug": "income_2017",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Mean log deviation",
                    "Household survey data type Dropdown": "Income surveys only",
                    "Show breaks between less comparable surveys Checkbox": "false"
                },
                {
                    "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. The data relates to consumption per capita.",
                    "yAxisMin": "0.0",
                    "hasMapTab": "true",
                    "tableSlug": "consumption_2017",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Gini coefficient",
                    "Household survey data type Dropdown": "Consumption surveys only",
                    "Show breaks between less comparable surveys Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "The data relates to consumption per capita.",
                    "title": "Consumption share of the richest 10%",
                    "ySlugs": "decile10_share",
                    "subtitle": "The share of consumption received by the richest 10% of the population.",
                    "yAxisMin": "0.0",
                    "hasMapTab": "true",
                    "tableSlug": "consumption_2017",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share of the richest 10%",
                    "Household survey data type Dropdown": "Consumption surveys only",
                    "Show breaks between less comparable surveys Checkbox": "false"
                },
                {
                    "tab": "map",
                    "title": "Palma ratio",
                    "ySlugs": "palma_ratio",
                    "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.",
                    "yAxisMin": "0.0",
                    "hasMapTab": "true",
                    "tableSlug": "consumption_2017",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Palma ratio",
                    "Household survey data type Dropdown": "Consumption surveys only",
                    "Show breaks between less comparable surveys Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "The data relates to consumption per capita.",
                    "title": "Share of people in relative poverty",
                    "ySlugs": "headcount_ratio_50_median",
                    "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.",
                    "yAxisMin": "0.0",
                    "hasMapTab": "true",
                    "tableSlug": "consumption_2017",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Share in relative poverty",
                    "Household survey data type Dropdown": "Consumption surveys only",
                    "Show breaks between less comparable surveys Checkbox": "false"
                },
                {
                    "tab": "map",
                    "note": "The data relates to consumption per capita.",
                    "title": "Mean log deviation",
                    "ySlugs": "mld",
                    "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.",
                    "yAxisMin": "0.0",
                    "hasMapTab": "true",
                    "tableSlug": "consumption_2017",
                    "mapTargetTime": "0",
                    "Indicator Dropdown": "Mean log deviation",
                    "Household survey data type Dropdown": "Consumption surveys only",
                    "Show breaks between less comparable surveys Checkbox": "false"
                },
                {
                    "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. Depending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, 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_gini",
                    "Indicator Dropdown": "Gini coefficient",
                    "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.",
                    "title": "Income or 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 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.",
                    "yAxisMin": "0.0",
                    "hasMapTab": "false",
                    "tableSlug": "income_consumption_2017_decile10_share",
                    "Indicator Dropdown": "Share of the richest 10%",
                    "selectedFacetStrategy": "entity",
                    "Household survey data type Dropdown": "Show data from both income and consumption surveys",
                    "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. Depending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, 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.",
                    "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. 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_consumption_2017_headcount_ratio_50_median",
                    "Indicator Dropdown": "Share in relative poverty",
                    "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.",
                    "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_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. 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.",
                    "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. 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.",
                    "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.",
                    "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. 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.",
                    "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. 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.",
                    "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.",
                    "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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                    "colorScaleEqualSizeBins": "true",
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                },
                {
                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                },
                {
                    "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 \u2013 it captures the share of people whose income is low by the standards typical in their own country.\\n\\nDepending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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.",
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                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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.",
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        },
        {
            "args": [
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                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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.",
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                },
                {
                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                    "colorScaleEqualSizeBins": "true",
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                },
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                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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.",
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                    "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 \u2013 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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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.",
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                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0.0"
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                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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.",
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            ]
        },
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                    "slug": "gini",
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                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                    "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 \u2013 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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                    "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 consumption per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                    "colorScaleEqualSizeBins": "true",
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            ]
        },
        {
            "args": [
                "https://catalog.ourworldindata.org/explorers/wb/latest/world_bank_pip/income_consumption_2017_gini.csv",
                "income_consumption_2017_gini"
            ],
            "type": "table",
            "block": null
        },
        {
            "args": [
                "income_consumption_2017_gini"
            ],
            "type": "columns",
            "block": [
                {
                    "name": "Country",
                    "slug": "country",
                    "type": "EntityName"
                },
                {
                    "name": "Year",
                    "slug": "year",
                    "type": "Year"
                },
                {
                    "name": "Consumption surveys",
                    "slug": "consumption_spell_1",
                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                },
                {
                    "name": "Consumption surveys",
                    "slug": "consumption_spell_2",
                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                },
                {
                    "name": "Consumption surveys",
                    "slug": "consumption_spell_3",
                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                    "colorScaleNumericMinValue": "1.0"
                },
                {
                    "name": "Consumption surveys",
                    "slug": "consumption_spell_4",
                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                    "colorScaleNumericMinValue": "1.0"
                },
                {
                    "name": "Consumption surveys",
                    "slug": "consumption_spell_5",
                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "1.0"
                },
                {
                    "name": "Consumption surveys",
                    "slug": "consumption_spell_6",
                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                    "colorScaleEqualSizeBins": "true",
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                },
                {
                    "name": "Consumption surveys",
                    "slug": "consumption_spell_7",
                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                    "colorScaleEqualSizeBins": "true",
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                },
                {
                    "name": "Income surveys",
                    "slug": "income_spell_1",
                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "1.0"
                },
                {
                    "name": "Income surveys",
                    "slug": "income_spell_2",
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                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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.",
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                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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.",
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                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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.",
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                {
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                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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.",
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                    "slug": "income_spell_4",
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                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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.",
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                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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.",
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                    "slug": "year",
                    "type": "Year"
                },
                {
                    "name": "Consumption surveys",
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                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                {
                    "name": "Consumption surveys",
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                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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.",
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                {
                    "name": "Consumption surveys",
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                    "sourceLink": "https://pip.worldbank.org",
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                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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.",
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                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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.",
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                    "name": "Consumption surveys",
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                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                {
                    "name": "Consumption surveys",
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                    "sourceLink": "https://pip.worldbank.org",
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                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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.",
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                {
                    "name": "Consumption surveys",
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                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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.",
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                {
                    "name": "Income surveys",
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                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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.",
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                {
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                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                {
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                    "sourceLink": "https://pip.worldbank.org",
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                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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.",
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                {
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                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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.",
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                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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.",
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                    "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 \u2013 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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                },
                {
                    "name": "Consumption surveys",
                    "slug": "consumption_spell_3",
                    "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 \u2013 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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                },
                {
                    "name": "Consumption surveys",
                    "slug": "consumption_spell_4",
                    "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 \u2013 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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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.",
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                {
                    "name": "Consumption surveys",
                    "slug": "consumption_spell_5",
                    "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 \u2013 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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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.",
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                },
                {
                    "name": "Consumption surveys",
                    "slug": "consumption_spell_6",
                    "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 \u2013 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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                },
                {
                    "name": "Consumption surveys",
                    "slug": "consumption_spell_7",
                    "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 \u2013 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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                {
                    "name": "Income surveys",
                    "slug": "income_spell_1",
                    "type": "Numeric",
                    "unit": "%",
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                    "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 \u2013 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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                {
                    "name": "Income surveys",
                    "slug": "income_spell_2",
                    "type": "Numeric",
                    "unit": "%",
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                    "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 \u2013 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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                },
                {
                    "name": "Income surveys",
                    "slug": "income_spell_3",
                    "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 \u2013 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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                },
                {
                    "name": "Income surveys",
                    "slug": "income_spell_4",
                    "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 \u2013 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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                {
                    "name": "Income surveys",
                    "slug": "income_spell_5",
                    "type": "Numeric",
                    "unit": "%",
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                    "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 \u2013 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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                {
                    "name": "Income surveys",
                    "slug": "income_spell_6",
                    "type": "Numeric",
                    "unit": "%",
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                    "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 \u2013 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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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.",
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                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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.",
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                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                },
                {
                    "name": "Consumption surveys",
                    "slug": "consumption_spell_3",
                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                },
                {
                    "name": "Consumption surveys",
                    "slug": "consumption_spell_4",
                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                {
                    "name": "Consumption surveys",
                    "slug": "consumption_spell_5",
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                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                },
                {
                    "name": "Consumption surveys",
                    "slug": "consumption_spell_6",
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                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                {
                    "name": "Consumption surveys",
                    "slug": "consumption_spell_7",
                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                {
                    "name": "Income surveys",
                    "slug": "income_spell_1",
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                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                {
                    "name": "Income surveys",
                    "slug": "income_spell_2",
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                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                {
                    "name": "Income surveys",
                    "slug": "income_spell_3",
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                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                {
                    "name": "Income surveys",
                    "slug": "income_spell_4",
                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                {
                    "name": "Income surveys",
                    "slug": "income_spell_5",
                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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 20240326_2017 and 20240326_2011) [Data set]. World Bank Group. https://pip.worldbank.org/. Accessed March 27, 2024.",
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                {
                    "name": "Income surveys",
                    "slug": "income_spell_6",
                    "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\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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.",
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                    "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 consumption per capita. 'Per capita' means that the incomes of each household are attributed equally to each member of the household (including children).\\n\\nNon-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account.\\n\\nNOTES ON HOW WE PROCESSED THIS INDICATOR\\n\\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\\n\\nIn most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\\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.",
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