variables: 815367

This table contains all the variables of all the datasets we have at Our World In Data. Note that this includes only the information about the variables like name and default display settings, not the data itself.

Data license: CC-BY

This data as json

id name unit description createdAt updatedAt code coverage timespan datasetId sourceId shortUnit display columnOrder originalMetadata grapherConfigAdmin shortName catalogPath dimensions schemaVersion processingLevel processingLog titlePublic titleVariant attributionShort attribution descriptionShort descriptionFromProducer descriptionKey descriptionProcessing licenses license grapherConfigETL type sort dataChecksum metadataChecksum
815367 60% of median - share of population below poverty line % % of population living in households with an income or expenditure per person below 60% of the median 2023-10-12 10:35:26 2024-04-08 12:14:22     1967-2021 6268   % 
{
    "unit": "%",
    "shortUnit": "%",
    "tolerance": 5,
    "numDecimalPlaces": 1
}
 0     _60pct_of_median__share_of_population_below_poverty_line grapher/wb/2022-10-03/world_bank_pip/world_bank_pip#_60pct_of_median__share_of_population_below_poverty_line   2 major   Share of population below 60% of median income or consumption   World Bank   The share of population with income or consumption below 60% of the median.   
[
    "This 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.",
    "Depending 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).",
    "Non-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account."
]
 Measures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line – in this case 60% of the median – and then run a specific query on the PIP API to return the share of population below that line. For a small number of country-year observations, the World Bank PIP data contains two estimates: one based on income data and one based on consumption data. In these cases we keep only the consumption estimate in order to obtain a single series for each country. You can find the data with all available income and consumption data points, including these overlapping estimates, in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-inequality-measures-prepared-by-our-world-in-data-from-the-world-banks-poverty-and-inequality-platform-pip-database) of the World Bank PIP data.     
{
    "map": {
        "time": 2019,
        "colorScale": {
            "baseColorScheme": "YlOrBr",
            "binningStrategy": "manual",
            "customNumericValues": [
                5,
                10,
                15,
                20,
                25,
                30,
                35
            ]
        }
    },
    "tab": "map",
    "note": "Depending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita).",
    "title": "Relative poverty: Share of people below 60% of median income",
    "yAxis": {
        "min": 0
    },
    "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json",
    "subtitle": "Relative poverty is measured in terms of a poverty line that rises and falls over time with average incomes \u2014 in this case set at 60% of median income.",
    "hasMapTab": true,
    "originUrl": "https://ourworldindata.org/poverty",
    "colorScale": {
        "baseColorScheme": "OwidDistinctLines"
    },
    "selectedEntityNames": [
        "Bangladesh",
        "Bolivia",
        "Madagascar",
        "India",
        "China",
        "Ethiopia"
    ]
}
        

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