Access to electricity, urban (% of urban population) - Country Ranking - Africa

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: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 Egypt 100.00 2020
1 Libya 100.00 2020
1 Morocco 100.00 2020
1 Seychelles 100.00 2020
1 Tunisia 100.00 2020
6 Algeria 99.88 2020
7 Comoros 99.72 2020
8 Mauritius 99.41 2020
9 Gabon 98.59 2020
10 Senegal 95.18 2020
11 Ghana 94.71 2020
12 Cabo Verde 94.49 2020
13 Côte d'Ivoire 94.47 2020
14 Togo 94.14 2020
15 Mali 94.09 2020
16 Cameroon 94.03 2020
17 Kenya 93.99 2020
18 Ethiopia 93.25 2020
19 Eswatini 92.20 2020
20 Equatorial Guinea 90.97 2020
21 Botswana 90.74 2020
22 South Africa 88.81 2020
23 Mauritania 88.37 2020
24 Guinea 88.08 2020
25 Rwanda 86.40 2020
26 Zimbabwe 85.72 2020
27 Nigeria 83.90 2020
28 Zambia 82.38 2020
29 Sudan 81.52 2020
30 The Gambia 80.63 2020
31 São Tomé and Principe 78.45 2020
32 Lesotho 77.73 2020
33 Eritrea 76.30 2020
34 Mozambique 74.96 2020
35 Namibia 74.67 2020
36 Angola 73.71 2020
37 Tanzania 72.90 2020
38 Djibouti 72.16 2020
39 Madagascar 70.16 2020
40 Somalia 70.12 2020
41 Uganda 69.87 2020
42 Benin 66.15 2020
43 Congo 66.01 2020
44 Burkina Faso 65.75 2020
45 Burundi 63.68 2020
46 Guinea-Bissau 56.27 2020
47 Sierra Leone 54.69 2020
48 Malawi 53.98 2020
49 Niger 48.39 2020
50 Liberia 45.17 2020
51 Dem. Rep. Congo 40.66 2020
52 Chad 40.62 2020
53 Central African Republic 33.56 2020

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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