variables: 904578

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
904578 S80/S20 ratio (Net national wealth) (Extrapolated)     2024-05-28 15:35:10 2024-07-25 23:07:40     1807-2022 6538     
{
    "name": "S80/S20 ratio (Net national wealth) (Extrapolated)",
    "tolerance": 5,
    "numDecimalPlaces": 1
}
 0     s80_s20_ratio_wealth_extrapolated grapher/wid/2024-05-24/world_inequality_database/world_inequality_database#s80_s20_ratio_wealth_extrapolated   2 major   S80/S20 ratio (Net national wealth) (Extrapolated)       The S80/S20 ratio is a measure of inequality that divides the share received by the richest 20% by the share of the poorest 20%. Higher values indicate higher inequality.   
[
    "This measure is related to net national wealth, which is the total value of non-financial and financial assets (housing, land, deposits, bonds, equities, etc.) held by households, minus their debts.",
    "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 included.     
{
    "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.003.json",
    "originUrl": "https://ourworldindata.org/economic-inequality"
}
 float 
[]
 0e7ddf7aa7c34462cfce52f0f30a4547 4dd2dc40b7165bfb5c33b8aa1683a774

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