variables: 819672

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
819672 Polarization index     2024-01-31 11:21:34 2024-04-11 04:18:35     1963-2022 6368     
{
    "name": "Polarization index",
    "tolerance": 5,
    "numDecimalPlaces": 2
}
 0     polarization grapher/wb/2024-01-17/world_bank_pip_2017ppp/income_consumption_2017#polarization   2 major   Polarization index   World Bank   The polarization index, also known as the Wolfson polarization index, measures the extent to which the distribution of income or consumption is “spread out” and bi-modal. Like the Gini coefficient, the polarization index ranges from 0 (no polarization) to 1 (complete polarization).   
[
    "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.     
{
    "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.003.json",
    "originUrl": "https://ourworldindata.org/poverty"
}
 float 
[]
    

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