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 Swaziland 17.60 2016
2 Lesotho 13.90 2016
3 South Africa 10.40 2016
4 Botswana 10.20 2016
5 Zambia 6.90 2016
6 Namibia 6.10 2016
7 Zimbabwe 5.70 2016
8 Mozambique 4.60 2016
9 Malawi 4.50 2016
10 Uganda 3.80 2016
11 Kenya 3.50 2016
12 Equatorial Guinea 2.60 2016
13 Cameroon 2.30 2016
13 Tanzania 2.30 2016
15 Gabon 2.00 2016
16 Central African Republic 1.90 2016
17 Nigeria 1.60 2016
18 The Bahamas 1.50 2016
19 Congo 1.40 2016
20 Sierra Leone 1.30 2016
20 Rwanda 1.30 2016
22 Liberia 1.20 2016
23 Côte d'Ivoire 1.10 2016
24 Guinea 1.00 2016
24 Ghana 1.00 2016
24 Guyana 1.00 2016
27 Belize 0.90 2016
28 Haiti 0.80 2016
28 Togo 0.80 2016
28 Angola 0.80 2016
28 Guinea-Bissau 0.80 2016
28 Suriname 0.80 2016
33 Jamaica 0.60 2016
33 Djibouti 0.60 2016
33 Burkina Faso 0.60 2016
33 Ukraine 0.60 2016
33 Mali 0.60 2016
38 Benin 0.50 2016
38 Chad 0.50 2016
38 Cabo Verde 0.50 2016
38 Ethiopia 0.50 2016
42 Dominican Republic 0.40 2016
42 Burundi 0.40 2016
42 The Gambia 0.40 2016
45 Dem. Rep. Congo 0.30 2016
45 Latvia 0.30 2016
45 Papua New Guinea 0.30 2016
45 Trinidad and Tobago 0.30 2016
45 Barbados 0.30 2016
45 Panama 0.30 2016
45 Myanmar 0.30 2016
52 Niger 0.20 2016
52 El Salvador 0.20 2016
52 Cuba 0.20 2016
52 Venezuela 0.20 2016
52 Chile 0.20 2016
52 Moldova 0.20 2016
52 Paraguay 0.20 2016
52 Sudan 0.20 2016
52 Thailand 0.20 2016
52 Belarus 0.20 2016
52 Montenegro 0.20 2016
52 Indonesia 0.20 2016
52 Brazil 0.20 2016
52 Guatemala 0.20 2016
52 Eritrea 0.20 2016
67 Somalia 0.10 2016
67 Kuwait 0.10 2016
67 Afghanistan 0.10 2016
67 Vietnam 0.10 2016
67 Kyrgyz Republic 0.10 2016
67 Nicaragua 0.10 2016
67 Slovak Republic 0.10 2016
67 Colombia 0.10 2016
67 Egypt 0.10 2016
67 Sri Lanka 0.10 2016
67 Qatar 0.10 2016
67 Costa Rica 0.10 2016
67 Slovenia 0.10 2016
67 Uruguay 0.10 2016
67 Comoros 0.10 2016
67 Ireland 0.10 2016
67 France 0.10 2016
67 Ecuador 0.10 2016
67 Sweden 0.10 2016
67 Argentina 0.10 2016
67 Croatia 0.10 2016
67 Malta 0.10 2016
67 Nepal 0.10 2016
67 India 0.10 2016
67 Mexico 0.10 2016
67 Bulgaria 0.10 2016
67 Bangladesh 0.10 2016
67 Algeria 0.10 2016
67 Pakistan 0.10 2016
67 Tajikistan 0.10 2016
67 Tunisia 0.10 2016
67 Armenia 0.10 2016
67 Azerbaijan 0.10 2016
67 Mongolia 0.10 2016
67 Netherlands 0.10 2016
67 Philippines 0.10 2016
67 Australia 0.10 2016
67 Spain 0.10 2016
67 Fiji 0.10 2016
67 Italy 0.10 2016
67 Lao PDR 0.10 2016
67 Mauritania 0.10 2016
67 Romania 0.10 2016
67 Iran 0.10 2016
67 Yemen 0.10 2016
67 Bahrain 0.10 2016
67 Bolivia 0.10 2016
67 Czech Republic 0.10 2016
67 Jordan 0.10 2016
67 Lebanon 0.10 2016
67 Lithuania 0.10 2016
67 Georgia 0.10 2016
67 Morocco 0.10 2016
67 Madagascar 0.10 2016
67 Macedonia 0.10 2016
67 Peru 0.10 2016
67 Saudi Arabia 0.10 2016
67 Serbia 0.10 2016
67 Albania 0.10 2016
67 Honduras 0.10 2016
67 Kazakhstan 0.10 2016
67 Cambodia 0.10 2016
67 Malaysia 0.10 2016
67 Senegal 0.10 2016

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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.