variables: 904585

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
904585 P50/P10 ratio (Net national wealth) (Extrapolated)     2024-05-28 15:35:11 2024-07-25 23:07:40     1807-2022 6538     
{
    "name": "P50/P10 ratio (Net national wealth) (Extrapolated)",
    "tolerance": 5,
    "numDecimalPlaces": 1
}
 0     p50_p10_ratio_wealth_extrapolated grapher/wid/2024-05-24/world_inequality_database/world_inequality_database#p50_p10_ratio_wealth_extrapolated   2 major   P50/P10 ratio (Net national wealth) (Extrapolated)       The P50/P10 ratio measures the degree of inequality within the poorest half of the population. A ratio of 2 means that the median wealth is two times higher than that of someone just falling in the poorest tenth of the population.   
[
    "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 
[]
 72eecedead38fef32ad8ced813c75f57 6907874167e229f38d59962cffa50b12

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