variables: 820952

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
820952 It is important to this person living in secure surroundings: Like me (aggregate) %   2024-02-22 15:29:32 2024-07-08 15:18:26     2010-2014 6304   % 
{
    "name": "Like me: Important living in secure surroundings",
    "unit": "%",
    "shortUnit": "%",
    "tolerance": 5,
    "numDecimalPlaces": 1
}
 0     like_me_agg_secure grapher/ivs/2023-11-27/integrated_values_survey/integrated_values_survey#like_me_agg_secure   2 major   Like me: Important living in secure surroundings       % of respondents replying "very much like me", "like me" or "somewhat like me" when asked "Now I will briefly describe some people. Using this card, would you please indicate for each description whether that person is very much like you, like you, somewhat like you, a little like you, not like you, or not at all like you?" in the description "It is important to this person living in secure surroundings".   
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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 
[]
 7cbb32f8a40c44b25ebfc8b2bc0145b2 e3fe25c492747cddcfb15f781a300450

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