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

Women's share of population ages 15+ living with HIV (%) in World was 53.70 as of 2020. Its highest value over the past 30 years was 53.70 in 2020, while its lowest value was 47.30 in 1990.

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 47.30
1991 47.70
1992 48.20
1993 48.80
1994 49.20
1995 49.60
1996 49.90
1997 50.20
1998 50.40
1999 50.60
2000 50.80
2001 51.00
2002 51.10
2003 51.20
2004 51.30
2005 51.40
2006 51.50
2007 51.60
2008 51.70
2009 51.80
2010 51.90
2011 52.10
2012 52.20
2013 52.40
2014 52.70
2015 52.90
2016 53.10
2017 53.30
2018 53.40
2019 53.60
2020 53.70

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