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

Definition: Access to electricity, rural is the percentage of rural 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 99.80 2014
2 Algeria 99.63 2014
3 Tunisia 99.61 2014
4 Seychelles 98.74 2014
5 Libya 92.30 2014
6 Morocco 84.60 2014
7 Cabo Verde 79.21 2014
8 Mauritius 78.79 2014
9 South Africa 71.48 2014
10 Comoros 64.99 2014
11 Ghana 63.00 2014
12 São Tomé and Principe 54.80 2014
13 Equatorial Guinea 44.84 2014
14 Gabon 42.31 2014
15 Nigeria 39.30 2014
16 Botswana 37.52 2014
17 Côte d'Ivoire 36.54 2014
18 Senegal 32.70 2014
19 Sudan 31.70 2014
20 Swaziland 26.49 2014
21 Cameroon 22.17 2014
22 Namibia 21.29 2014
23 Togo 16.30 2014
24 Benin 16.00 2014
25 The Gambia 12.96 2014
26 Kenya 12.60 2014
27 Ethiopia 12.20 2014
28 Mali 11.83 2014
29 Lesotho 11.80 2014
30 Somalia 11.20 2014
31 Madagascar 10.67 2014
32 Djibouti 10.42 2014
33 Congo 10.40 2014
34 Uganda 10.30 2014
35 Zimbabwe 9.80 2014
36 Rwanda 9.10 2014
37 Eritrea 7.18 2014
38 Mozambique 5.97 2014
39 Niger 5.44 2014
40 Malawi 4.70 2014
41 Chad 4.53 2014
42 Tanzania 4.03 2014
43 Guinea-Bissau 4.00 2014
44 Guinea 3.96 2014
45 Zambia 3.80 2014
46 Central African Republic 3.10 2014
47 Burkina Faso 3.00 2014
47 Angola 3.00 2014
49 Mauritania 2.30 2014
50 Burundi 2.00 2014
51 Liberia 1.71 2014
52 Sierra Leone 1.01 2014
53 Dem. Rep. Congo 0.40 2014

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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.

Aggregation method: Weighted average

Periodicity: Annual