variables: 819709

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.

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
819709 60% of the median - Total daily shortfall international-$ in {ppp} prices   2024-01-31 11:21:37 2024-04-11 04:18:37     1963-2022 6368   $ 
{
    "name": "60% of the median - Total daily shortfall",
    "unit": "international-$ in {ppp} prices",
    "shortUnit": "$",
    "tolerance": 5,
    "numDecimalPlaces": 2
}
 0     total_shortfall_60_median grapher/wb/2024-01-17/world_bank_pip_2017ppp/income_consumption_2017#total_shortfall_60_median   2 major   60% of the median - Total daily shortfall   World Bank   This is the amount of money that would be theoretically needed to lift the income or consumption of all people in poverty up to 60% of the median. However, this is not a measure of the actual cost of eliminating poverty, since it does not take into account the costs involved in making the necessary transfers nor any changes in behaviour they would bring about.   
[
    "This is a measure of _relative_ poverty \u2013 it captures the share of people whose income is low by the standards typical in their own country.",
    "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."
]
 Measures of relative poverty are not directly available in the World Bank PIP data. To calculate this metric we take the median income or consumption for the country and year, calculate a relative poverty line – in this case {povline} of the median – and then run a specific query on the PIP API to return the share of population below that line. 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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