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

Definition: Prevalence of HIV, female is the percentage of females 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 12.20 2020
2 South Africa 10.40 2020
3 Lesotho 9.00 2020
4 Botswana 8.80 2020
5 Mozambique 6.20 2020
6 Zambia 6.00 2020
7 Zimbabwe 5.20 2020
8 Namibia 5.10 2020
9 Malawi 3.70 2020
10 Equatorial Guinea 3.50 2020
11 Uganda 2.60 2020
11 Congo 2.60 2020
13 Tanzania 2.20 2020
14 Kenya 2.10 2020
15 Cameroon 1.40 2020
16 Sierra Leone 1.30 2020
17 Guinea-Bissau 1.20 2020
17 Gabon 1.20 2020
17 Central African Republic 1.20 2020
20 Rwanda 1.10 2020
21 Togo 1.00 2020
21 Angola 1.00 2020
21 Ghana 1.00 2020
24 Côte d'Ivoire 0.90 2020
24 Haiti 0.90 2020
26 Guinea 0.80 2020
27 Liberia 0.70 2020
28 Nigeria 0.60 2020
28 Burundi 0.60 2020
30 Burkina Faso 0.50 2020
30 Chad 0.50 2020
30 Djibouti 0.50 2020
30 The Gambia 0.50 2020
30 Benin 0.50 2020
30 Mali 0.50 2020
36 Dem. Rep. Congo 0.40 2020
36 Ethiopia 0.40 2020
36 Papua New Guinea 0.40 2020
39 The Bahamas 0.30 2020
39 Jamaica 0.30 2020
39 Guyana 0.30 2020
39 Belize 0.30 2020
39 Mauritius 0.30 2020
44 Eritrea 0.20 2020
44 Dominican Republic 0.20 2020
44 Cambodia 0.20 2020
44 Suriname 0.20 2020
44 Thailand 0.20 2020
44 Venezuela 0.20 2020
50 Yemen 0.10 2020
50 Uzbekistan 0.10 2020
50 New Zealand 0.10 2020
50 Panama 0.10 2020
50 Peru 0.10 2020
50 Paraguay 0.10 2020
50 Romania 0.10 2020
50 Saudi Arabia 0.10 2020
50 Sudan 0.10 2020
50 Senegal 0.10 2020
50 El Salvador 0.10 2020
50 Serbia 0.10 2020
50 Lao PDR 0.10 2020
50 Lebanon 0.10 2020
50 Cabo Verde 0.10 2020
50 Cuba 0.10 2020
50 Spain 0.10 2020
50 Fiji 0.10 2020
50 Georgia 0.10 2020
50 Mauritania 0.10 2020
50 Malaysia 0.10 2020
50 Niger 0.10 2020
50 Morocco 0.10 2020
50 Moldova 0.10 2020
50 Madagascar 0.10 2020
50 Montenegro 0.10 2020
50 Bolivia 0.10 2020
50 Bhutan 0.10 2020
50 Chile 0.10 2020
50 Honduras 0.10 2020
50 Indonesia 0.10 2020
50 Ireland 0.10 2020
50 Iran 0.10 2020
50 Iceland 0.10 2020
50 Italy 0.10 2020
50 Jordan 0.10 2020
50 Japan 0.10 2020
50 Kazakhstan 0.10 2020
50 Estonia 0.10 2020
50 Greece 0.10 2020
50 Guatemala 0.10 2020
50 Croatia 0.10 2020
50 Kyrgyz Republic 0.10 2020
50 Libya 0.10 2020
50 Sri Lanka 0.10 2020
50 Mexico 0.10 2020
50 Switzerland 0.10 2020
50 Belarus 0.10 2020
50 Afghanistan 0.10 2020
50 United Arab Emirates 0.10 2020
50 Argentina 0.10 2020
50 Armenia 0.10 2020
50 Azerbaijan 0.10 2020
50 Colombia 0.10 2020
50 Comoros 0.10 2020
50 Costa Rica 0.10 2020
50 Germany 0.10 2020
50 Denmark 0.10 2020
50 Algeria 0.10 2020
50 Ecuador 0.10 2020
50 Egypt 0.10 2020
50 Mongolia 0.10 2020
50 Somalia 0.10 2020
50 São Tomé and Principe 0.10 2020
50 Slovenia 0.10 2020
50 Nicaragua 0.10 2020
50 Netherlands 0.10 2020
50 Nepal 0.10 2020
50 Pakistan 0.10 2020
50 Philippines 0.10 2020
50 Portugal 0.10 2020
50 Qatar 0.10 2020
50 Albania 0.10 2020
50 Australia 0.10 2020
50 Ukraine 0.10 2020
50 Uruguay 0.10 2020
50 United States 0.10 2019
50 Vietnam 0.10 2020
50 Tajikistan 0.10 2020
50 Timor-Leste 0.10 2020
50 Trinidad and Tobago 0.10 2020
50 Tunisia 0.10 2020
50 Singapore 0.10 2020
50 Syrian Arab Republic 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 especially vulnerable.