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

Women's share of population ages 15+ living with HIV (%) in Syrian Arab Republic was 27.80 as of 2020. Its highest value over the past 30 years was 32.60 in 2009, while its lowest value was 27.70 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 27.70
1991 28.30
1992 28.80
1993 28.80
1994 29.30
1995 29.40
1996 29.50
1997 29.90
1998 30.30
1999 30.10
2000 30.30
2001 30.40
2002 30.50
2003 30.80
2004 31.10
2005 31.60
2006 31.80
2007 32.00
2008 32.40
2009 32.60
2010 32.50
2011 32.30
2012 31.80
2013 31.30
2014 30.80
2015 30.10
2016 29.50
2017 28.90
2018 28.50
2019 28.10
2020 27.80

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