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

Women's share of population ages 15+ living with HIV (%) in Sri Lanka was 29.80 as of 2020. Its highest value over the past 30 years was 31.10 in 2014, while its lowest value was 16.70 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 16.70
1991 17.70
1992 18.70
1993 19.00
1994 19.50
1995 20.10
1996 20.50
1997 21.00
1998 21.50
1999 22.10
2000 22.70
2001 23.40
2002 24.10
2003 24.70
2004 25.40
2005 26.10
2006 26.80
2007 27.50
2008 28.20
2009 28.90
2010 29.50
2011 30.10
2012 30.60
2013 31.00
2014 31.10
2015 31.00
2016 30.90
2017 30.80
2018 30.60
2019 30.30
2020 29.80

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