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

Women's share of population ages 15+ living with HIV (%) in United Arab Emirates was 19.30 as of 2020. Its highest value over the past 30 years was 22.40 in 2003, while its lowest value was 18.20 in 1991.

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 18.80
1991 18.20
1992 19.40
1993 20.00
1994 20.00
1995 19.10
1996 19.60
1997 20.00
1998 20.90
1999 21.40
2000 22.00
2001 22.00
2002 22.20
2003 22.40
2004 22.20
2005 21.70
2006 21.70
2007 21.50
2008 21.70
2009 21.50
2010 21.00
2011 20.70
2012 20.50
2013 20.50
2014 20.20
2015 19.90
2016 19.70
2017 19.60
2018 19.50
2019 19.40
2020 19.30

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