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

Access to clean fuels and technologies for cooking (% of population) in Belarus was 99.60 as of 2020. Its highest value over the past 20 years was 99.60 in 2020, while its lowest value was 94.70 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 94.70
2001 95.20
2002 95.80
2003 96.40
2004 96.90
2005 97.10
2006 97.50
2007 97.90
2008 98.15
2009 98.50
2010 98.70
2011 98.80
2012 99.00
2013 99.10
2014 99.20
2015 99.30
2016 99.40
2017 99.40
2018 99.50
2019 99.50
2020 99.60

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