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

Women's share of population ages 15+ living with HIV (%) in Congo was 69.70 as of 2020. Its highest value over the past 30 years was 69.70 in 2020, while its lowest value was 59.20 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 59.20
1991 60.20
1992 61.10
1993 61.90
1994 62.60
1995 63.30
1996 63.90
1997 64.50
1998 65.10
1999 65.70
2000 66.20
2001 66.70
2002 67.10
2003 67.40
2004 67.70
2005 67.80
2006 67.90
2007 67.90
2008 67.80
2009 67.60
2010 67.30
2011 67.10
2012 67.10
2013 67.30
2014 67.60
2015 67.90
2016 68.30
2017 68.70
2018 69.10
2019 69.40
2020 69.70

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