variables: 819671
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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819671 | Gini coefficient | 2024-01-31 11:21:34 | 2024-04-11 04:18:35 | 1963-2022 | 6368 | { "name": "Gini coefficient", "tolerance": 5, "numDecimalPlaces": 2 } |
0 | gini | grapher/wb/2024-01-17/world_bank_pip_2017ppp/income_consumption_2017#gini | 2 | major | Gini Coefficient | World Bank | The [Gini coefficient](#dod:gini) 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. '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." ] |
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": "Oranges", "binningStrategy": "manual", "customNumericValues": [ 0.3, 0.35, 0.4, 0.45, 0.5, 0.55, 0.6 ], "customNumericMinValue": 1 } }, "tab": "map", "note": "Income and consumption estimates are available separately in this [Data Explorer](https://ourworldindata.org/explorers/pip-inequality-explorer).", "title": "Income inequality: Gini coefficient", "yAxis": { "min": 0 }, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.003.json", "subtitle": "The [Gini coefficient](#dod:gini) measures inequality on a scale from 0 to 1. Higher values indicate higher inequality. Depending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita).", "hasMapTab": true, "originUrl": "https://ourworldindata.org/economic-inequality", "variantName": "World Bank", "selectedEntityNames": [ "Chile", "Brazil", "South Africa", "United States", "France", "China" ] } |
float | [] |