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 27.30 2018
2 Lesotho 23.60 2018
3 South Africa 20.40 2018
4 Botswana 20.30 2018
5 Zimbabwe 12.70 2018
6 Mozambique 12.60 2018
7 Namibia 11.80 2018
8 Zambia 11.30 2018
9 Malawi 9.20 2018
10 Equatorial Guinea 7.10 2018
11 Uganda 5.70 2018
12 Kenya 4.70 2018
13 Tanzania 4.60 2018
14 Gabon 3.80 2018
15 Central African Republic 3.60 2018
15 Cameroon 3.60 2018
17 Guinea-Bissau 3.50 2018
18 Côte d'Ivoire 2.60 2018
18 Congo 2.60 2018
20 Rwanda 2.50 2018
21 Togo 2.30 2018
22 Angola 2.00 2018
23 The Gambia 1.90 2018
24 Ghana 1.70 2018
25 Sierra Leone 1.50 2018
25 Nigeria 1.50 2018
27 Mali 1.40 2018
27 Guinea 1.40 2018
29 Chad 1.30 2018
29 Liberia 1.30 2018
29 Mauritius 1.30 2018
32 Djibouti 1.20 2018
33 Burundi 1.00 2018
33 Benin 1.00 2018
33 Ethiopia 1.00 2018
36 Dem. Rep. Congo 0.80 2018
37 Burkina Faso 0.70 2018
37 Eritrea 0.70 2018
39 Cabo Verde 0.60 2018
40 Senegal 0.40 2018
41 Madagascar 0.30 2018
41 Niger 0.30 2018
43 Mauritania 0.20 2018
43 Libya 0.20 2018
43 Sudan 0.20 2018
46 Somalia 0.10 2018
46 Tunisia 0.10 2018
46 Algeria 0.10 2018
46 Egypt 0.10 2018
46 Comoros 0.10 2018
46 Morocco 0.10 2018

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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