Heavily indebted poor countries (HIPC) - Prevalence of HIV, male (% ages 15-24)

Prevalence of HIV, male (% ages 15-24) in Heavily indebted poor countries (HIPC) was 0.549 as of 2020. Its highest value over the past 30 years was 0.870 in 1995, while its lowest value was 0.549 in 2020.

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 0.729
1991 0.784
1992 0.833
1993 0.850
1994 0.864
1995 0.870
1996 0.867
1997 0.840
1998 0.813
1999 0.783
2000 0.755
2001 0.724
2002 0.714
2003 0.699
2004 0.685
2005 0.681
2006 0.672
2007 0.670
2008 0.674
2009 0.673
2010 0.676
2011 0.685
2012 0.685
2013 0.681
2014 0.668
2015 0.660
2016 0.631
2017 0.621
2018 0.578
2019 0.572
2020 0.549

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