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

Prevalence of HIV, male (% ages 15-24) in Sierra Leone was 0.600 as of 2020. Its highest value over the past 30 years was 0.800 in 2000, while its lowest value was 0.400 in 1990.

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

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