variables: 821062

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
821062 Most serious problem: Poor sanitation and infectious diseases %   2024-02-22 15:29:49 2024-07-08 15:18:31     2010-2014 6304   % 
{
    "name": "Most serious problem: Poor sanitation and infectious diseases",
    "unit": "%",
    "shortUnit": "%",
    "tolerance": 5,
    "numDecimalPlaces": 1
}
 0     sanitation_most_serious grapher/ivs/2023-11-27/integrated_values_survey/integrated_values_survey#sanitation_most_serious   2 major   Most serious problem: Poor sanitation and infectious diseases       % of respondents replying "Poor sanitation and infectious diseases" when asked "I’m going to read out some problems. Please indicate which of the following problems you consider the most serious one for the world as a whole?" The problems listed were: "People living in poverty and need", "Discrimination against girls and women", "Poor sanitation and infectious diseases", "Inadequate education", and "Environmental pollution"   
[]
 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 
[]
 f6fa0dd8ad3ddb3cee97aa9ffad5166a 0c157250c7dbfbeb215d052684a6e376

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