Prevalence of HIV, total (% of population ages 15-49) - Country Ranking - Africa

Definition: Prevalence of HIV refers to the percentage of people ages 15-49 who are infected with HIV.

Source: UNAIDS estimates.

See also: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 Eswatini 26.80 2020
2 Lesotho 21.10 2020
3 Botswana 19.90 2020
4 South Africa 19.10 2020
5 Zimbabwe 11.90 2020
6 Namibia 11.60 2020
7 Mozambique 11.50 2020
8 Zambia 11.10 2020
9 Malawi 8.10 2020
10 Equatorial Guinea 7.30 2020
11 Uganda 5.40 2020
12 Tanzania 4.70 2020
13 Kenya 4.20 2020
14 Congo 3.30 2020
15 Gabon 3.00 2020
15 Cameroon 3.00 2020
15 Guinea-Bissau 3.00 2020
18 Central African Republic 2.90 2020
19 Rwanda 2.50 2020
20 Côte d'Ivoire 2.10 2020
21 Togo 2.00 2020
22 Angola 1.80 2020
22 The Gambia 1.80 2020
24 Mauritius 1.70 2020
24 Ghana 1.70 2020
26 Sierra Leone 1.50 2020
27 Guinea 1.40 2020
28 Nigeria 1.30 2020
29 Chad 1.10 2020
29 Liberia 1.10 2020
31 Burundi 1.00 2020
32 Benin 0.90 2020
32 Ethiopia 0.90 2020
32 Mali 0.90 2020
35 Djibouti 0.80 2020
36 Burkina Faso 0.70 2020
36 Dem. Rep. Congo 0.70 2020
38 Cabo Verde 0.50 2020
38 Eritrea 0.50 2020
40 Madagascar 0.30 2020
40 Mauritania 0.30 2020
40 Senegal 0.30 2020
40 São Tomé and Principe 0.30 2020
44 Sudan 0.20 2020
44 Niger 0.20 2020
46 Morocco 0.10 2020
46 Libya 0.10 2020
46 Algeria 0.10 2020
46 Egypt 0.10 2020
46 Comoros 0.10 2020
46 Somalia 0.10 2020
46 Tunisia 0.10 2020

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Limitations and Exceptions: The limited availability of data on health status is a major constraint in assessing the health situation in developing countries. Surveillance data are lacking for many major public health concerns. Estimates of prevalence and incidence are available for some diseases but are often unreliable and incomplete. National health authorities differ widely in capacity and willingness to collect or report information.

Statistical Concept and Methodology: HIV prevalence rates reflect the rate of HIV infection in each country's population. Low national prevalence rates can be misleading, however. They often disguise epidemics that are initially concentrated in certain localities or population groups and threaten to spill over into the wider population. In many developing countries most new infections occur in young adults, with young women especially vulnerable. Data on HIV are from the Joint United Nations Programme on HIV/AIDS (UNAIDS). Changes in procedures and assumptions for estimating the data and better coordination with countries have resulted in improved estimates of HIV and AIDS. The models, which are routinely updated, track the course of HIV epidemics and their impact, making full use of information in HIV prevalence trends from surveillance data as well as survey data. The models take into account reduced infectivity among people receiving antiretroviral therapy (which is having a larger impact on HIV prevalence and allowing HIV-positive people to live longer) and allow for changes in urbanization over time in generalized epidemics. The estimates include plausibility bounds, which reflect the certainty associated with each of the estimates.

Aggregation method: Weighted average

Periodicity: Annual