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

Women's share of population ages 15+ living with HIV (%) in Indonesia was 37.10 as of 2020. Its highest value over the past 30 years was 37.10 in 2020, while its lowest value was 14.90 in 1993.

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:

Year Value
1990 15.20
1991 15.30
1992 15.10
1993 14.90
1994 15.00
1995 15.20
1996 15.50
1997 16.30
1998 17.50
1999 18.80
2000 19.70
2001 19.50
2002 19.00
2003 20.30
2004 22.20
2005 24.00
2006 25.70
2007 27.20
2008 28.70
2009 30.00
2010 31.10
2011 32.00
2012 32.90
2013 33.70
2014 34.50
2015 35.20
2016 35.80
2017 36.30
2018 36.70
2019 36.90
2020 37.10

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

Classification

Topic: Health Indicators

Sub-Topic: Risk factors