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

Women's share of population ages 15+ living with HIV (%) in Senegal was 59.70 as of 2020. Its highest value over the past 30 years was 59.70 in 2020, while its lowest value was 43.50 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 43.50
1991 44.20
1992 44.70
1993 45.30
1994 45.70
1995 46.20
1996 46.70
1997 47.10
1998 47.40
1999 47.80
2000 48.00
2001 48.30
2002 48.50
2003 48.70
2004 48.90
2005 49.10
2006 49.30
2007 49.70
2008 50.50
2009 51.40
2010 52.40
2011 53.50
2012 54.60
2013 55.70
2014 56.50
2015 57.20
2016 57.90
2017 58.50
2018 59.10
2019 59.50
2020 59.70

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