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

Women's share of population ages 15+ living with HIV (%) in Eswatini was 62.30 as of 2020. Its highest value over the past 30 years was 63.40 in 2009, while its lowest value was 49.40 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 49.40
1991 52.20
1992 54.30
1993 56.00
1994 57.30
1995 58.20
1996 58.90
1997 59.40
1998 59.90
1999 60.30
2000 60.70
2001 61.20
2002 61.60
2003 62.00
2004 62.30
2005 62.70
2006 63.00
2007 63.20
2008 63.40
2009 63.40
2010 63.30
2011 63.10
2012 63.00
2013 62.90
2014 62.80
2015 62.60
2016 62.50
2017 62.40
2018 62.30
2019 62.30
2020 62.30

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