Eswatini - Prevalence of HIV, total (% of population ages 15-49)

Prevalence of HIV, total (% of population ages 15-49) in Eswatini was 27.30 as of 2018. Its highest value over the past 28 years was 28.20 in 2014, while its lowest value was 1.20 in 1990.

Definition: Prevalence of HIV refers to the percentage of people ages 15-49 who are infected with HIV.

Source: UNAIDS estimates.

See also:

Year Value
1990 1.20
1991 2.50
1992 4.60
1993 7.50
1994 11.00
1995 14.50
1996 17.60
1997 20.20
1998 22.20
1999 23.60
2000 24.60
2001 25.30
2002 25.80
2003 26.10
2004 26.20
2005 26.30
2006 26.40
2007 26.60
2008 26.80
2009 27.10
2010 27.40
2011 27.60
2012 27.80
2013 28.00
2014 28.20
2015 28.10
2016 28.00
2017 27.70
2018 27.30

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


Topic: Health Indicators

Sub-Topic: Risk factors