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

Women's share of population ages 15+ living with HIV (%) in Yemen was 37.20 as of 2020. Its highest value over the past 30 years was 42.90 in 1990, while its lowest value was 37.20 in 2020.

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 42.90
1991 42.30
1992 41.70
1993 41.10
1994 40.60
1995 40.30
1996 40.30
1997 40.20
1998 40.20
1999 40.20
2000 40.10
2001 40.00
2002 39.90
2003 39.80
2004 39.70
2005 39.50
2006 39.30
2007 39.10
2008 38.90
2009 38.70
2010 38.40
2011 38.30
2012 38.20
2013 38.10
2014 38.00
2015 37.80
2016 37.70
2017 37.60
2018 37.50
2019 37.30
2020 37.20

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