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 15.90 2018
2 South Africa 11.30 2018
3 Lesotho 10.80 2018
4 Botswana 8.90 2018
5 Mozambique 7.20 2018
6 Zimbabwe 5.70 2018
7 Zambia 5.00 2018
8 Namibia 4.50 2018
9 Malawi 4.30 2018
10 Equatorial Guinea 3.30 2018
11 Uganda 2.80 2018
12 Kenya 2.50 2018
13 Tanzania 2.20 2018
14 Gabon 1.90 2018
15 Cameroon 1.80 2018
16 Congo 1.60 2018
17 Central African Republic 1.50 2018
18 Guinea-Bissau 1.40 2018
19 Côte d'Ivoire 1.20 2018
19 Angola 1.20 2018
21 Sierra Leone 1.10 2018
21 Haiti 1.10 2018
23 Togo 1.00 2018
23 Belize 1.00 2018
23 Mali 1.00 2018
23 Ghana 1.00 2018
27 Rwanda 0.90 2018
28 Chad 0.80 2018
28 Nigeria 0.80 2018
28 Guinea 0.80 2018
28 Liberia 0.80 2018
32 Djibouti 0.60 2018
32 The Gambia 0.60 2018
32 Burundi 0.60 2018
35 Dem. Rep. Congo 0.50 2018
35 The Bahamas 0.50 2018
37 Guyana 0.40 2018
37 Burkina Faso 0.40 2018
37 Ethiopia 0.40 2018
37 Benin 0.40 2018
41 Suriname 0.30 2018
41 Myanmar 0.30 2018
41 Dominican Republic 0.30 2018
41 Papua New Guinea 0.30 2018
41 Eritrea 0.30 2018
41 Jamaica 0.30 2018
47 Mauritius 0.20 2018
47 Barbados 0.20 2018
47 Thailand 0.20 2018
47 Indonesia 0.20 2018
47 Paraguay 0.20 2018
47 Cabo Verde 0.20 2018
47 Senegal 0.20 2018
54 El Salvador 0.10 2018
54 Jordan 0.10 2018
54 Lebanon 0.10 2018
54 Israel 0.10 2018
54 Italy 0.10 2018
54 Lao PDR 0.10 2018
54 Comoros 0.10 2018
54 Sri Lanka 0.10 2018
54 Singapore 0.10 2018
54 Yemen 0.10 2018
54 Afghanistan 0.10 2018
54 Bolivia 0.10 2018
54 Chile 0.10 2018
54 Hungary 0.10 2018
54 Iran 0.10 2018
54 Moldova 0.10 2018
54 Colombia 0.10 2018
54 Denmark 0.10 2018
54 Egypt 0.10 2018
54 Guatemala 0.10 2018
54 Kyrgyz Republic 0.10 2018
54 Nicaragua 0.10 2018
54 Slovak Republic 0.10 2018
54 Ukraine 0.10 2018
54 Vietnam 0.10 2018
54 Bulgaria 0.10 2018
54 Ireland 0.10 2018
54 Iceland 0.10 2018
54 Latvia 0.10 2018
54 Montenegro 0.10 2018
54 Uzbekistan 0.10 2018
54 Czech Republic 0.10 2018
54 France 0.10 2018
54 Bhutan 0.10 2018
54 Bosnia and Herzegovina 0.10 2018
54 Uruguay 0.10 2018
54 Niger 0.10 2018
54 Serbia 0.10 2018
54 Honduras 0.10 2018
54 Kazakhstan 0.10 2018
54 Cambodia 0.10 2018
54 Luxembourg 0.10 2018
54 Malaysia 0.10 2018
54 Croatia 0.10 2018
54 Nepal 0.10 2018
54 Argentina 0.10 2018
54 Belarus 0.10 2018
54 Ecuador 0.10 2018
54 Estonia 0.10 2018
54 Spain 0.10 2018
54 Japan 0.10 2018
54 Mauritania 0.10 2018
54 Romania 0.10 2018
54 Kuwait 0.10 2018
54 Somalia 0.10 2018
54 Armenia 0.10 2018
54 Costa Rica 0.10 2018
54 Germany 0.10 2018
54 Australia 0.10 2018
54 Libya 0.10 2018
54 Mongolia 0.10 2018
54 Netherlands 0.10 2017
54 Norway 0.10 2018
54 Oman 0.10 2018
54 Philippines 0.10 2018
54 Portugal 0.10 2018
54 Mexico 0.10 2018
54 Cuba 0.10 2018
54 Georgia 0.10 2018
54 Morocco 0.10 2018
54 Madagascar 0.10 2018
54 North Macedonia 0.10 2018
54 New Zealand 0.10 2018
54 Panama 0.10 2018
54 Peru 0.10 2018
54 Sudan 0.10 2018
54 Pakistan 0.10 2018
54 Syrian Arab Republic 0.10 2018
54 Tajikistan 0.10 2018
54 Tunisia 0.10 2018
54 Bangladesh 0.10 2018
54 Algeria 0.10 2018
54 Finland 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

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