Sri Lanka - Access to clean fuels and technologies for cooking (% of population)

Access to clean fuels and technologies for cooking (% of population) in Sri Lanka was 32.20 as of 2020. Its highest value over the past 20 years was 32.20 in 2020, while its lowest value was 16.90 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 16.90
2001 17.50
2002 17.90
2003 18.50
2004 18.70
2005 19.50
2006 19.80
2007 20.30
2008 20.90
2009 21.30
2010 21.70
2011 22.30
2012 23.00
2013 24.00
2014 24.80
2015 25.75
2016 26.90
2017 28.20
2018 29.40
2019 30.60
2020 32.20

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