variables: 899187

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
899187 50% of the median - Total daily shortfall international-$ in {ppp} prices   2024-04-15 17:59:48 2024-07-08 16:23:02     1963-2023 6469   $ 
{
    "name": "50% of the median - Total daily shortfall",
    "unit": "international-$ in {ppp} prices",
    "shortUnit": "$",
    "tolerance": 5,
    "numDecimalPlaces": 2
}
 0     total_shortfall_50_median grapher/wb/2024-03-27/world_bank_pip_2017ppp/income_consumption_2017#total_shortfall_50_median   2 major   50% 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 50% 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 most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years. In most of our charts, we present the data with some data points dropped in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries. If you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty Data Explorer](https://ourworldindata.org/explorers/poverty-explorer?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER). You can also download this data 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 
[]
 8553918c2ef6b4faacf3d2b9844b1815 bfd4beece3d08b3926e96deaf9573548

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