Caribbean small states - Prevalence of HIV, female (% ages 15-24)

Prevalence of HIV, female (% ages 15-24) in Caribbean small states was 0.258 as of 2020. Its highest value over the past 30 years was 0.368 in 2002, while its lowest value was 0.214 in 1990.

Definition: Prevalence of HIV, female is the percentage of females who are infected with HIV. Youth rates are as a percentage of the relevant age group.

Source: UNAIDS estimates.

See also:

Year Value
1990 0.214
1991 0.267
1992 0.267
1993 0.274
1994 0.295
1995 0.290
1996 0.293
1997 0.304
1998 0.322
1999 0.341
2000 0.355
2001 0.355
2002 0.368
2003 0.367
2004 0.367
2005 0.362
2006 0.317
2007 0.317
2008 0.297
2009 0.302
2010 0.282
2011 0.283
2012 0.271
2013 0.271
2014 0.272
2015 0.256
2016 0.250
2017 0.251
2018 0.265
2019 0.265
2020 0.258

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

General Comments: In many developing countries most new infections occur in young adults, with young women especially vulnerable.

Classification

Topic: Health Indicators

Sub-Topic: Risk factors