variables: 904384

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
904384 Richest decile - Share (Pretax) (Estimated) %   2024-05-28 15:34:53 2024-07-25 23:07:25     1820-2022 6538   % 
{
    "name": "Richest decile - Share (Pretax) (Estimated)",
    "unit": "%",
    "shortUnit": "%",
    "tolerance": 5,
    "numDecimalPlaces": 1
}
 0     p90p100_share_pretax grapher/wid/2024-05-24/world_inequality_database/world_inequality_database#p90p100_share_pretax   2 major   Income share of the richest 10% Before tax     The share of income received by the richest decile (tenth of the population).   
[
    "Income is \u2018pre-tax\u2019 \u2014 measured before taxes have been paid and most government benefits have been received. It is, however, measured after the operation of pension schemes, both private and public.",
    "The data is estimated from a combination of household surveys, tax records and national accounts data. This combination can provide a more accurate picture of the incomes of the richest, which tend to be captured poorly in household survey data alone.",
    "These underlying data sources are not always available. For some countries, observations are extrapolated from data relating to other years, or are sometimes modeled based on data observed in other countries. For more information on this methodology, see this related [technical note](https://wid.world/document/countries-with-regional-income-imputations-on-wid-world-world-inequality-lab-technical-note-2021-15/)."
]
 We extract estimations of Gini, mean, percentile thresholds, averages, and shares via the [`wid` Stata command](https://github.com/thomasblanchet/wid-stata-tool). We calculate threshold and share ratios by dividing different thresholds and shares, respectively. Interpolations and extrapolations are excluded by using the option `exclude` in the Stata command.     
{
    "map": {
        "colorScale": {
            "baseColorScheme": "OrRd",
            "binningStrategy": "manual",
            "customNumericValues": [
                30,
                35,
                40,
                45,
                50,
                55,
                60,
                65
            ],
            "customNumericMinValue": 100
        }
    },
    "tab": "map",
    "note": "Income is measured before payment of taxes and non-pension benefits, but after the payment of public and private pensions.",
    "title": "Income share of the richest 10% (before tax)",
    "yAxis": {
        "min": 0
    },
    "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.003.json",
    "subtitle": "The share of income received by the richest 10% of the population. Income here is measured before taxes and benefits.",
    "hasMapTab": true,
    "originUrl": "https://ourworldindata.org/economic-inequality",
    "variantName": "WID",
    "selectedEntityNames": [
        "Chile",
        "Brazil",
        "United States",
        "South Africa",
        "China",
        "France"
    ]
}
 float 
[]
 2fdf30c7bfb169efd547c9aaf7764294 1ee3e36d196b74e50466ccd4a44f0cee

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