Women's share of population ages 15+ living with HIV (%) - Country Ranking

Definition: Prevalence of HIV is the percentage of people who are infected with HIV. Female rate is as a percentage of the total population ages 15+ who are living with HIV.

Source: UNAIDS estimates.

See also: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 Dem. Rep. Congo 71.30 2020
2 Congo 69.70 2020
3 Gabon 69.60 2020
4 Ghana 67.90 2020
5 Cameroon 67.60 2020
6 Côte d'Ivoire 65.80 2020
7 Guinea 65.60 2020
8 Angola 65.10 2020
9 Benin 65.00 2020
10 Guinea-Bissau 64.90 2020
11 Togo 64.50 2020
12 South Africa 64.40 2020
13 Kenya 64.30 2020
13 Malawi 64.30 2020
15 Namibia 64.10 2020
16 Mozambique 63.30 2020
17 Liberia 62.80 2020
18 Tanzania 62.70 2020
19 Ethiopia 62.60 2020
20 Uganda 62.50 2020
21 Eswatini 62.30 2020
22 Rwanda 62.00 2020
22 Chad 62.00 2020
24 The Gambia 61.90 2020
25 Sierra Leone 61.80 2020
25 Zambia 61.80 2020
27 Central African Republic 61.70 2020
28 Mali 61.50 2020
29 Lesotho 61.20 2020
30 Zimbabwe 60.40 2020
31 Burundi 60.20 2020
32 Burkina Faso 60.00 2020
32 Eritrea 60.00 2020
34 Nigeria 59.70 2020
34 Senegal 59.70 2020
36 Papua New Guinea 59.50 2020
37 Haiti 59.10 2020
38 Niger 58.70 2020
38 Botswana 58.70 2020
40 Djibouti 56.50 2020
41 Comoros 56.20 2020
42 Equatorial Guinea 54.90 2020
43 São Tomé and Principe 52.80 2020
43 Cambodia 52.80 2020
45 Trinidad and Tobago 52.10 2020
46 Jamaica 51.30 2020
46 Dominican Republic 51.30 2020
48 Somalia 51.00 2020
49 Guyana 50.40 2020
50 Cabo Verde 50.10 2020
51 The Bahamas 49.30 2020
52 Belize 48.40 2020
53 Sudan 47.80 2020
54 El Salvador 47.40 2020
55 Mauritania 47.00 2020
55 Ukraine 47.00 2020
57 Suriname 46.80 2020
57 Madagascar 46.80 2020
59 Fiji 46.40 2020
60 Nepal 46.00 2020
61 Algeria 45.60 2020
62 Bolivia 44.40 2020
63 Morocco 44.10 2020
64 Uruguay 43.80 2020
65 Thailand 43.40 2020
66 Lao PDR 41.50 2020
67 Paraguay 40.90 2020
68 Costa Rica 40.80 2020
69 Guatemala 40.60 2020
69 Honduras 40.60 2020
71 Cuba 40.40 2020
72 Tajikistan 40.00 2020
73 Venezuela 39.80 2020
74 Estonia 39.30 2020
75 Romania 38.70 2020
76 Tunisia 38.50 2020
77 Yemen 37.20 2020
78 Indonesia 37.10 2020
79 Moldova 37.00 2020
79 Azerbaijan 37.00 2020
81 Uzbekistan 36.90 2020
82 Armenia 35.70 2020
83 Timor-Leste 35.10 2020
84 Belarus 33.60 2020
85 Vietnam 33.00 2020
86 Nicaragua 32.40 2020
87 Kazakhstan 32.30 2020
88 Bhutan 31.80 2020
88 Kyrgyz Republic 31.80 2020
90 Georgia 31.60 2020
91 Argentina 30.80 2020
91 Ecuador 30.80 2020
93 Mauritius 30.70 2020
94 Panama 30.30 2020
95 Sri Lanka 29.80 2020
96 Libya 29.70 2020
96 Jordan 29.70 2020
98 Portugal 29.30 2020
99 Afghanistan 29.00 2020
100 Ireland 28.80 2020
101 Italy 28.60 2020
102 Syrian Arab Republic 27.80 2020
103 Albania 27.50 2020
104 Iran 27.40 2020
104 Switzerland 27.40 2020
106 Iceland 27.30 2020
107 Denmark 24.80 2020
108 United States 22.30 2019
109 Qatar 22.00 2020
110 Egypt 21.40 2020
111 Saudi Arabia 21.10 2020
112 Peru 20.10 2020
113 Mongolia 19.90 2020
114 Germany 19.60 2020
115 Pakistan 19.50 2020
116 United Arab Emirates 19.30 2020
117 Malaysia 18.70 2020
118 Netherlands 18.30 2020
119 Chile 17.90 2020
120 Spain 17.70 2020
120 Mexico 17.70 2020
122 Colombia 16.30 2020
123 Greece 16.00 2020
124 New Zealand 15.90 2020
125 Serbia 14.70 2020
126 Lebanon 13.90 2020
127 Australia 13.80 2020
128 Montenegro 11.80 2020
129 Slovenia 11.60 2020
130 Japan 9.90 2020
131 Croatia 9.80 2020
132 Singapore 9.00 2020
133 Philippines 6.20 2020

More rankings: Africa | Asia | Central America & the Caribbean | Europe | Middle East | North America | Oceania | South America | World |

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