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

Women's share of population ages 15+ living with HIV (%) in Jamaica was 51.30 as of 2020. Its highest value over the past 30 years was 51.30 in 2020, while its lowest value was 49.30 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 49.30
1991 49.40
1992 49.50
1993 49.60
1994 49.60
1995 49.70
1996 49.70
1997 49.70
1998 49.60
1999 49.60
2000 49.70
2001 49.90
2002 50.10
2003 50.30
2004 50.50
2005 50.60
2006 50.60
2007 50.60
2008 50.60
2009 50.50
2010 50.50
2011 50.30
2012 50.10
2013 50.00
2014 50.20
2015 50.40
2016 50.60
2017 50.70
2018 51.00
2019 51.20
2020 51.30

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