Haiti - Prevalence of HIV, male (% ages 15-24)

Prevalence of HIV, male (% ages 15-24) in Haiti was 0.400 as of 2020. Its highest value over the past 30 years was 1.000 in 1991, while its lowest value was 0.400 in 2017.

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

Source: UNAIDS estimates.

See also:

Year Value
1990 0.900
1991 1.000
1992 0.900
1993 0.900
1994 0.800
1995 0.800
1996 0.700
1997 0.600
1998 0.600
1999 0.500
2000 0.500
2001 0.500
2002 0.500
2003 0.500
2004 0.500
2005 0.500
2006 0.500
2007 0.500
2008 0.500
2009 0.500
2010 0.500
2011 0.500
2012 0.500
2013 0.500
2014 0.500
2015 0.500
2016 0.500
2017 0.400
2018 0.400
2019 0.400
2020 0.400

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 being especially vulnerable.

Classification

Topic: Health Indicators

Sub-Topic: Risk factors