Prevalence of HIV, male (% ages 15-24) - Country Ranking

Definition: Prevalence of HIV, male is the percentage of males who are infected with HIV. Youth rates are as a percentage of the relevant age group.

Source: UNAIDS estimates.

See also: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 Eswatini 4.70 2020
2 Botswana 4.20 2020
3 Lesotho 3.90 2020
4 South Africa 3.50 2020
5 Zimbabwe 2.90 2020
6 Namibia 2.60 2020
7 Mozambique 2.40 2020
8 Zambia 2.30 2020
9 Malawi 1.90 2020
10 Equatorial Guinea 1.50 2020
11 Kenya 1.20 2020
12 Uganda 1.10 2020
12 Tanzania 1.10 2020
14 Central African Republic 0.70 2020
14 Rwanda 0.70 2020
16 Sierra Leone 0.60 2020
16 Guinea-Bissau 0.60 2020
16 Côte d'Ivoire 0.60 2020
16 Cameroon 0.60 2020
16 Congo 0.60 2020
21 Burundi 0.50 2020
21 Gabon 0.50 2020
21 Togo 0.50 2020
24 Haiti 0.40 2020
24 Mauritius 0.40 2020
24 Burkina Faso 0.40 2020
24 Angola 0.40 2020
24 Djibouti 0.40 2020
24 Ghana 0.40 2020
24 Thailand 0.40 2020
31 Liberia 0.30 2020
31 Benin 0.30 2020
31 Nigeria 0.30 2020
31 The Bahamas 0.30 2020
31 Mali 0.30 2020
31 Guinea 0.30 2020
31 Ethiopia 0.30 2020
31 Chad 0.30 2020
39 The Gambia 0.20 2020
39 Belize 0.20 2020
39 Jamaica 0.20 2020
39 Guyana 0.20 2020
39 Philippines 0.20 2020
39 Chile 0.20 2020
39 Spain 0.20 2020
39 Cambodia 0.20 2020
39 Moldova 0.20 2020
39 Indonesia 0.20 2020
39 Papua New Guinea 0.20 2020
39 Dem. Rep. Congo 0.20 2020
51 Colombia 0.10 2020
51 Comoros 0.10 2020
51 Costa Rica 0.10 2020
51 Germany 0.10 2020
51 Denmark 0.10 2020
51 Algeria 0.10 2020
51 Ecuador 0.10 2020
51 Egypt 0.10 2020
51 Eritrea 0.10 2020
51 Estonia 0.10 2020
51 Belarus 0.10 2020
51 Afghanistan 0.10 2020
51 United Arab Emirates 0.10 2020
51 Argentina 0.10 2020
51 Armenia 0.10 2020
51 Azerbaijan 0.10 2020
51 Paraguay 0.10 2020
51 Romania 0.10 2020
51 Saudi Arabia 0.10 2020
51 Sudan 0.10 2020
51 Senegal 0.10 2020
51 El Salvador 0.10 2020
51 Serbia 0.10 2020
51 Suriname 0.10 2020
51 New Zealand 0.10 2020
51 Panama 0.10 2020
51 Peru 0.10 2020
51 Mauritania 0.10 2020
51 Malaysia 0.10 2020
51 Niger 0.10 2020
51 Ireland 0.10 2020
51 Iran 0.10 2020
51 Iceland 0.10 2020
51 Italy 0.10 2020
51 Jordan 0.10 2020
51 Japan 0.10 2020
51 Kazakhstan 0.10 2020
51 Madagascar 0.10 2020
51 Montenegro 0.10 2020
51 Morocco 0.10 2020
51 Lao PDR 0.10 2020
51 Lebanon 0.10 2020
51 Honduras 0.10 2020
51 Fiji 0.10 2020
51 Georgia 0.10 2020
51 Dominican Republic 0.10 2020
51 Cabo Verde 0.10 2020
51 Cuba 0.10 2020
51 Albania 0.10 2020
51 Australia 0.10 2020
51 Bolivia 0.10 2020
51 Bhutan 0.10 2020
51 Portugal 0.10 2020
51 Qatar 0.10 2020
51 Singapore 0.10 2020
51 Somalia 0.10 2020
51 São Tomé and Principe 0.10 2020
51 Slovenia 0.10 2020
51 Mongolia 0.10 2020
51 Nicaragua 0.10 2020
51 Netherlands 0.10 2020
51 Nepal 0.10 2020
51 Pakistan 0.10 2020
51 Croatia 0.10 2020
51 Kyrgyz Republic 0.10 2020
51 Libya 0.10 2020
51 Sri Lanka 0.10 2020
51 Mexico 0.10 2020
51 Switzerland 0.10 2020
51 Greece 0.10 2020
51 Guatemala 0.10 2020
51 Syrian Arab Republic 0.10 2020
51 Ukraine 0.10 2020
51 Uruguay 0.10 2020
51 United States 0.10 2019
51 Vietnam 0.10 2020
51 Uzbekistan 0.10 2020
51 Venezuela 0.10 2020
51 Yemen 0.10 2020
51 Tajikistan 0.10 2020
51 Timor-Leste 0.10 2020
51 Trinidad and Tobago 0.10 2020
51 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

General Comments: In many developing countries most new infections occur in young adults, with young women being especially vulnerable.