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

Prevalence of HIV, male (% ages 15-24) in Low income was 0.461 as of 2020. Its highest value over the past 30 years was 0.670 in 1995, while its lowest value was 0.461 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 0.602
1991 0.636
1992 0.662
1993 0.663
1994 0.666
1995 0.670
1996 0.667
1997 0.655
1998 0.636
1999 0.613
2000 0.603
2001 0.580
2002 0.580
2003 0.574
2004 0.566
2005 0.564
2006 0.558
2007 0.555
2008 0.565
2009 0.560
2010 0.564
2011 0.577
2012 0.582
2013 0.579
2014 0.563
2015 0.555
2016 0.529
2017 0.523
2018 0.484
2019 0.478
2020 0.461

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