variables: 904987

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
904987 Access to clean fuels and technologies for cooking (% of population) % of population   2024-05-31 06:51:02 2024-07-08 16:50:10     2000-2021 6543   % 
{
    "name": "Access to clean fuels and technologies for cooking",
    "unit": "% of population",
    "shortUnit": "%"
}
 0     eg_cft_accs_zs grapher/worldbank_wdi/2024-05-20/wdi/wdi#eg_cft_accs_zs   2 minor   Share of the population with access to clean fuels for cooking   World Bank World Health Organization (via World Bank) Access to [clean fuels or technologies](#dod:clean-cooking-fuels) such as natural gas, electricity, and clean cookstoves reduces exposure to indoor air pollutants, a leading cause of death in low-income households. Access to clean fuels and technologies for cooking is the proportion of total population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels. Statistical concept and methodology: Data for access to clean fuels and technologies for cooking are based on the World Health Organization's (WHO) Global Household Energy Database. They are collected among different sources: only data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). Trends in the proportion of the population using each fuel type are estimated using a single multivariate hierarchical model, with urban and rural disaggregation. Estimates for overall "polluting" fuels (unprocessed biomass, charcoal, coal, and kerosene) and "clean" fuels (gaseous fuels, electricity, as well as an aggregation of any other clean fuels like alcohol) are produced by aggregating estimates of relevant fuel types. The model was used to derive clean fuel use estimates for 191 countries (ref. Stoner, O., Shaddick, G., Economou, T., Gumy, S., Lewis, J., Lucio, I., Ruggeri, G. and Adair-Rohani, H. (2020), Global household energy model: a multivariate hierarchical approach to estimating trends in the use of polluting and clean fuels for cooking. J. R. Stat. Soc. C, 69: 815-839). Countries classified by the World Bank as high income (57 countries) in the 2022 fiscal year are assumed to have universal access to clean fuels and technologies for cooking. 
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