variables: 819692
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 |
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819692 | 40% of the median - Number in poverty | people | 2024-01-31 11:21:36 | 2024-04-11 04:18:36 | 1963-2022 | 6368 | { "name": "40% of the median - Number in poverty", "unit": "people", "tolerance": 5, "numDecimalPlaces": 0 } |
0 | headcount_40_median | grapher/wb/2024-01-17/world_bank_pip_2017ppp/income_consumption_2017#headcount_40_median | 2 | major | 40% of the median - Number in poverty | World Bank | Number of people in households with an income or consumption per person below 40% 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 income of each household is 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 {povline} 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. | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.003.json", "originUrl": "https://ourworldindata.org/poverty" } |
int | [] |