variables: 816799

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
816799 Agree "Trust in neighborhood" %   2023-11-30 14:18:38 2024-07-08 15:18:20     2010-2022 6304   % 
{
    "name": "Agree \"Trust in neighborhood\"",
    "unit": "%",
    "shortUnit": "%",
    "tolerance": 5,
    "numDecimalPlaces": 1
}
 0     trust_neighborhood grapher/ivs/2023-11-27/integrated_values_survey/integrated_values_survey#trust_neighborhood   2 major   Agree: Trust in neighborhood       % of respondents replying that they "trust completely" or "trust somewhat" when asked "I‘d like to ask you how much you trust people from various groups. Could you tell me for each whether you trust people from this group completely, somewhat, not very much or not at all?" in the group "Your neighborhood".   
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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 
[]
 158c1ea74ad4a480daf3ace0813a523e 41d550325414ac1bd5b153f68387879e

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