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

Access to clean fuels and technologies for cooking (% of population) in Liberia was 0.400 as of 2020. Its highest value over the past 20 years was 0.700 in 2000, while its lowest value was 0.300 in 2013.

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 0.700
2001 0.600
2002 0.600
2003 0.600
2004 0.500
2005 0.500
2006 0.500
2007 0.400
2008 0.400
2009 0.400
2010 0.400
2011 0.400
2012 0.400
2013 0.300
2014 0.400
2015 0.400
2016 0.400
2017 0.400
2018 0.400
2019 0.400
2020 0.400

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