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

Women's share of population ages 15+ living with HIV (%) in The Bahamas was 49.30 as of 2020. Its highest value over the past 30 years was 49.70 in 2015, while its lowest value was 45.60 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 45.60
1991 45.80
1992 46.00
1993 46.20
1994 46.40
1995 46.60
1996 46.90
1997 47.20
1998 47.50
1999 47.70
2000 47.90
2001 48.00
2002 48.10
2003 48.10
2004 48.10
2005 48.10
2006 48.20
2007 48.40
2008 48.80
2009 49.20
2010 49.50
2011 49.60
2012 49.60
2013 49.60
2014 49.70
2015 49.70
2016 49.60
2017 49.50
2018 49.50
2019 49.50
2020 49.30

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