variables: 899107

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.

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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
899107 Percentage reduction in Gini coefficient (before vs. after tax) - Total %   2024-04-11 13:47:07 2024-07-08 17:11:25     1976-2022 6465   % 
{
    "name": "Percentage reduction in Gini coefficient",
    "unit": "%",
    "shortUnit": "%",
    "tolerance": 5,
    "numDecimalPlaces": 1
}
 0     gini_reduction__age_total grapher/oecd/2024-04-10/income_distribution_database/income_distribution_database#gini_reduction__age_total 
{
    "filters": [
        {
            "name": "age",
            "value": "Total"
        }
    ],
    "originalName": "Percentage reduction in Gini coefficient (before vs. after tax) - Total",
    "originalShortName": "gini_reduction"
}
 2 minor   Percentage reduction in Gini coefficient       This is the percentage difference between the Gini coefficient before taxes and benefits and the Gini coefficient after taxes and benefits. Data calculated according to the new OECD Terms of reference. Compared to previous terms of reference, these include a more detailed breakdown of current transfers received and paid by households as well as a revised definition of household income, including the value of goods produced for own consumption as an element of self-employed income. The OECD Income Distribution database (IDD) has been developed to benchmark and monitor countries’ performance in the field of income inequality and poverty. It contains a number of standardised indicators based on the central concept of “equivalised household disposable income”, i.e. the total income received by the households less the current taxes and transfers they pay, adjusted for household size with an equivalence scale. While household income is only one of the factors shaping people’s economic well-being, it is also the one for which comparable data for all OECD countries are most common. Income distribution has a long-standing tradition among household-level statistics, with regular data collections going back to the 1980s (and sometimes earlier) in many OECD countries. Achieving comparability in this field is a challenge, as national practices differ widely in terms of concepts, measures, and statistical sources. In order to maximise international comparability as well as inter-temporal consistency of data, the IDD data collection and compilation process is based on a common set of statistical conventions (e.g. on income concepts and components). The information obtained by the OECD through a network of national data providers, via a standardized questionnaire, is based on national sources that are deemed to be most representative for each country. Small changes in estimates between years should be treated with caution as they may not be statistically significant. 
[
    "Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating.",
    "The entire population of each country is considered\n, and also the income definition is the newest from the OECD since 2012. For more information on the methodology, visit the [OECD Income Distribution Database (IDD)](http://www.oecd.org/social/income-distribution-database.htm).",
    "Survey estimates for 2020 are subject to additional uncertainty and are to be treated with extra caution, as in most countries the survey fieldwork was affected by the Coronavirus (COVID-19) pandemic."
]
         float 
[]
 452058f9d84bda39d939a4d719f2f139 17cfa767824cf7bebe2e9e326e92c559

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