Eswatini - Access to electricity, urban (% of urban population)
Access to electricity, urban (% of urban population) in Eswatini was 92.20 as of 2020. Its highest value over the past 20 years was 92.20 in 2020, while its lowest value was 54.32 in 2000.
Definition: Access to electricity, urban is the percentage of urban population with access to electricity.
Source: World Bank, Sustainable Energy for All (SE4ALL) database from the SE4ALL Global Tracking Framework led jointly by the World Bank, International Energy Agency, and the Energy Sector Management Assistance Program.
See also:
| Year | Value |
|---|---|
| 2000 | 54.32 |
| 2001 | 55.99 |
| 2002 | 57.65 |
| 2003 | 59.31 |
| 2004 | 60.99 |
| 2005 | 62.69 |
| 2006 | 63.40 |
| 2007 | 66.16 |
| 2008 | 67.91 |
| 2009 | 72.64 |
| 2010 | 65.42 |
| 2011 | 73.22 |
| 2012 | 74.99 |
| 2013 | 76.74 |
| 2014 | 84.00 |
| 2015 | 80.59 |
| 2016 | 80.98 |
| 2017 | 85.59 |
| 2018 | 87.93 |
| 2019 | 90.10 |
| 2020 | 92.20 |
Statistical Concept and Methodology: Data for access to electricity are collected among different sources: mostly 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). Given the low frequency and the regional distribution of some surveys, a number of countries have gaps in available data. To develop the historical evolution and starting point of electrification rates, a simple modeling approach was adopted to fill in the missing data points - around 1990, around 2000, and around 2010. Therefore, a country can have a continuum of zero to three data points. There are 42 countries with zero data point and the weighted regional average was used as an estimate for electrification in each of the data periods. 170 countries have between one and three data points and missing data are estimated by using a model with region, country, and time variables. The model keeps the original observation if data is available for any of the time periods. This modeling approach allowed the estimation of electrification rates for 212 countries over these three time periods (Indicated as "Estimate"). Notation "Assumption" refers to the assumption of universal access in countries classified as developed by the United Nations. Data begins from the year in which the first survey data is available for each country.
Aggregation method: Weighted average
Periodicity: Annual
Classification
Topic: Environment Indicators
Sub-Topic: Energy production & use
