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

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 Cameroon 3.00 2020
15 Gabon 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 Haiti 1.90 2020
23 The Gambia 1.80 2020
23 Angola 1.80 2020
25 Mauritius 1.70 2020
25 Ghana 1.70 2020
27 Sierra Leone 1.50 2020
28 Guinea 1.40 2020
28 Jamaica 1.40 2020
30 Guyana 1.30 2020
30 Nigeria 1.30 2020
32 Belize 1.20 2020
32 The Bahamas 1.20 2020
34 Chad 1.10 2020
34 Suriname 1.10 2020
34 Liberia 1.10 2020
37 Thailand 1.00 2020
37 Ukraine 1.00 2020
37 Panama 1.00 2020
37 Burundi 1.00 2020
41 Mali 0.90 2020
41 Benin 0.90 2020
41 Ethiopia 0.90 2020
41 Dominican Republic 0.90 2020
41 Papua New Guinea 0.90 2020
46 Djibouti 0.80 2020
46 Moldova 0.80 2020
46 Estonia 0.80 2020
49 Dem. Rep. Congo 0.70 2020
49 Burkina Faso 0.70 2020
49 Trinidad and Tobago 0.70 2020
52 Chile 0.60 2020
52 Brazil 0.60 2020
54 Belarus 0.50 2020
54 Eritrea 0.50 2020
54 Portugal 0.50 2020
54 Venezuela 0.50 2020
54 El Salvador 0.50 2020
54 Cambodia 0.50 2020
54 Cabo Verde 0.50 2020
61 Cuba 0.40 2020
61 Spain 0.40 2020
61 Indonesia 0.40 2020
61 Malaysia 0.40 2020
61 Uruguay 0.40 2020
61 United States 0.40 2019
61 Mexico 0.40 2020
61 Argentina 0.40 2020
61 Colombia 0.40 2020
61 Costa Rica 0.40 2020
71 Ecuador 0.30 2020
71 São Tomé and Principe 0.30 2020
71 Vietnam 0.30 2020
71 Senegal 0.30 2020
71 Paraguay 0.30 2020
71 Mauritania 0.30 2020
71 Peru 0.30 2020
71 Lao PDR 0.30 2020
71 Georgia 0.30 2020
71 Kazakhstan 0.30 2020
71 Madagascar 0.30 2020
82 Niger 0.20 2020
82 Ireland 0.20 2020
82 Honduras 0.20 2020
82 Italy 0.20 2020
82 Fiji 0.20 2020
82 Sudan 0.20 2020
82 Uzbekistan 0.20 2020
82 Tajikistan 0.20 2020
82 Timor-Leste 0.20 2020
82 Bolivia 0.20 2020
82 Bhutan 0.20 2020
82 Nicaragua 0.20 2020
82 Netherlands 0.20 2020
82 Singapore 0.20 2020
82 Pakistan 0.20 2020
82 Philippines 0.20 2020
82 Armenia 0.20 2020
82 Switzerland 0.20 2020
82 Greece 0.20 2020
82 Guatemala 0.20 2020
82 Kyrgyz Republic 0.20 2020
103 Libya 0.10 2020
103 Sri Lanka 0.10 2020
103 Croatia 0.10 2020
103 Azerbaijan 0.10 2020
103 Afghanistan 0.10 2020
103 United Arab Emirates 0.10 2020
103 Egypt 0.10 2020
103 Comoros 0.10 2020
103 Germany 0.10 2020
103 Denmark 0.10 2020
103 Algeria 0.10 2020
103 Qatar 0.10 2020
103 Nepal 0.10 2020
103 Mongolia 0.10 2020
103 Syrian Arab Republic 0.10 2020
103 Slovenia 0.10 2020
103 Somalia 0.10 2020
103 Albania 0.10 2020
103 Australia 0.10 2020
103 Serbia 0.10 2020
103 Romania 0.10 2020
103 Saudi Arabia 0.10 2020
103 Yemen 0.10 2020
103 Tunisia 0.10 2020
103 Jordan 0.10 2020
103 Japan 0.10 2020
103 Iran 0.10 2020
103 Iceland 0.10 2020
103 New Zealand 0.10 2020
103 Montenegro 0.10 2020
103 Morocco 0.10 2020
103 Lebanon 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