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

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 Cambodia 52.80 2020
2 Nepal 46.00 2020
3 Thailand 43.40 2020
4 Lao PDR 41.50 2020
5 Tajikistan 40.00 2020
6 Yemen 37.20 2020
7 Indonesia 37.10 2020
8 Azerbaijan 37.00 2020
9 Uzbekistan 36.90 2020
10 Armenia 35.70 2020
11 Timor-Leste 35.10 2020
12 Vietnam 33.00 2020
13 Kazakhstan 32.30 2020
14 Kyrgyz Republic 31.80 2020
14 Bhutan 31.80 2020
16 Georgia 31.60 2020
17 Sri Lanka 29.80 2020
18 Jordan 29.70 2020
19 Afghanistan 29.00 2020
20 Syrian Arab Republic 27.80 2020
21 Iran 27.40 2020
22 Qatar 22.00 2020
23 Saudi Arabia 21.10 2020
24 Mongolia 19.90 2020
25 Pakistan 19.50 2020
26 United Arab Emirates 19.30 2020
27 Malaysia 18.70 2020
28 Lebanon 13.90 2020
29 Japan 9.90 2020
30 Singapore 9.00 2020
31 Philippines 6.20 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