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

Women's share of population ages 15+ living with HIV (%) in Gabon was 69.60 as of 2020. Its highest value over the past 30 years was 71.10 in 2004, while its lowest value was 68.20 in 2012.

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 68.50
1991 69.10
1992 69.60
1993 70.00
1994 70.30
1995 70.50
1996 70.60
1997 70.70
1998 70.70
1999 70.80
2000 70.90
2001 71.00
2002 71.10
2003 71.10
2004 71.10
2005 70.80
2006 70.30
2007 69.80
2008 69.40
2009 69.00
2010 68.70
2011 68.40
2012 68.20
2013 68.20
2014 68.40
2015 68.60
2016 68.80
2017 69.00
2018 69.20
2019 69.40
2020 69.60

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