Eswatini - Prevalence of HIV, female (% ages 15-24)

Prevalence of HIV, female (% ages 15-24) in Eswatini was 12.20 as of 2020. Its highest value over the past 30 years was 23.90 in 2001, while its lowest value was 1.20 in 1990.

Definition: Prevalence of HIV, female is the percentage of females who are infected with HIV. Youth rates are as a percentage of the relevant age group.

Source: UNAIDS estimates.

See also:

Year Value
1990 1.20
1991 2.50
1992 4.70
1993 7.90
1994 11.60
1995 15.50
1996 18.80
1997 21.20
1998 22.80
1999 23.60
2000 23.90
2001 23.90
2002 23.70
2003 23.30
2004 22.80
2005 22.40
2006 22.00
2007 21.70
2008 21.20
2009 20.60
2010 19.80
2011 18.70
2012 17.90
2013 17.30
2014 16.80
2015 16.20
2016 15.60
2017 14.80
2018 13.90
2019 13.00
2020 12.20

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

General Comments: In many developing countries most new infections occur in young adults, with young women especially vulnerable.

Classification

Topic: Health Indicators

Sub-Topic: Risk factors