IDA blend - Access to clean fuels and technologies for cooking (% of population)

Access to clean fuels and technologies for cooking (% of population) in IDA blend was 33.75 as of 2020. Its highest value over the past 20 years was 33.75 in 2020, while its lowest value was 17.54 in 2000.

Definition: 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.

Source: World Bank, Sustainable Energy for All (SE4ALL) database from WHO Global Household Energy database.

See also:

Year Value
2000 17.54
2001 17.84
2002 18.31
2003 18.80
2004 19.17
2005 19.67
2006 20.31
2007 20.91
2008 21.52
2009 22.06
2010 22.97
2011 23.63
2012 24.36
2013 25.20
2014 26.08
2015 26.99
2016 28.08
2017 29.39
2018 30.77
2019 32.29
2020 33.75

Statistical Concept and Methodology: Data for access to clean fuels and technologies for cooking are based on the 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). To develop the historical evolution of clean fuels and technologies use rates, a multi-level non-parametrical mixed model, using both fixed and random effects, was used to derive polluting fuel use estimates for 150 countries (ref. Bonjour S, Adair-Rohani H, Wolf J, Bruce NG, Mehta S, Prüss-Ustün A, Lahiff M, Rehfuess EA, Mishra V, Smith KR. Solid Fuel Use for Household Cooking: Country and Regional Estimates for 1980-2010. Environ Health Perspect (): .doi:10.1289/ehp.1205987.). For a country with no data, estimates are derived by using regional trends or assumed to be universal access if a country is classified as developed by the United Nations.

Aggregation method: Weighted average

Periodicity: Annual

Classification

Topic: Environment Indicators

Sub-Topic: Energy production & use