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

Women's share of population ages 15+ living with HIV (%) in IDA total was 57.01 as of 2020. Its highest value over the past 30 years was 57.01 in 2020, while its lowest value was 53.50 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 53.50
1991 53.68
1992 53.87
1993 53.68
1994 53.61
1995 53.53
1996 53.73
1997 53.93
1998 54.14
1999 54.30
2000 54.32
2001 54.31
2002 54.18
2003 54.40
2004 54.63
2005 54.67
2006 54.70
2007 54.63
2008 54.63
2009 54.56
2010 54.51
2011 54.56
2012 54.72
2013 54.94
2014 55.21
2015 55.52
2016 55.83
2017 56.15
2018 56.44
2019 56.76
2020 57.01

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