variables: 899137

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
899137 Gini coefficient     2024-04-15 17:59:46 2024-07-08 16:22:59     1963-2023 6469     
{
    "name": "Gini coefficient",
    "tolerance": 5,
    "numDecimalPlaces": 2
}
 0     gini grapher/wb/2024-03-27/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 most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years. In most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries. If you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty Data Explorer](https://ourworldindata.org/explorers/poverty-explorer?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data in our [complete dataset](https://github.com/owid/poverty-data#a-global-dataset-of-poverty-and-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": {
        "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 
[]
 678c288da3bb3ee84caa8e387cfa565c 9beb1e19d6d6656279aa4c6c84e6fdc0

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