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

Women's share of population ages 15+ living with HIV (%) in Small states was 52.81 as of 2020. Its highest value over the past 30 years was 53.52 in 1990, while its lowest value was 51.43 in 2010.

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 53.52
1991 53.37
1992 53.18
1993 52.53
1994 52.71
1995 52.64
1996 52.35
1997 52.55
1998 52.50
1999 52.67
2000 52.26
2001 52.33
2002 52.28
2003 52.33
2004 52.30
2005 52.31
2006 52.06
2007 51.81
2008 51.65
2009 51.79
2010 51.43
2011 51.59
2012 51.64
2013 51.70
2014 51.82
2015 51.89
2016 52.03
2017 52.13
2018 52.55
2019 52.67
2020 52.81

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