variables: 821032

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
821032 Leisure vs work: Leisure (aggregate) %   2024-02-22 15:29:44 2024-07-08 15:18:30     1998-2004 6304   % 
{
    "name": "Leisure vs work: Leisure",
    "unit": "%",
    "shortUnit": "%",
    "tolerance": 5,
    "numDecimalPlaces": 1
}
 0     leisure_lei_vs_wk grapher/ivs/2023-11-27/integrated_values_survey/integrated_values_survey#leisure_lei_vs_wk   2 major   Leisure vs work: Leisure       % of respondents replying 1 or 2 in a scale from 1 to 5 when asked "Which point on this scale most clearly describes how much weight you place on work (including housework and schoolwork), as compared with leisure or recreation? A It´s leisure that makes life worth living, not work B Work is what makes life worth living, not leisure", where 1 is description A and 5 is description B.   
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 We collected the data by merging the World Values Survey and the European Values Study, following the methodology described in the [Integrated Values Surveys website](https://www.worldvaluessurvey.org/WVSEVStrend.jsp). We processed the indicators from microdata of the Integrated Values Surveys (IVS) using Stata. Weights are applied for each country. We calculated regional aggregations for some indicators, by weighting each country by its population size.       float 
[]
 7fec3ad03abeea77142d21a8c050655f 6a5e84c1c9ae9a35d499f6c0408542a9

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