Libya - Women's share of population ages 15+ living with HIV (%)

Women's share of population ages 15+ living with HIV (%) in Libya was 29.70 as of 2020. Its highest value over the past 30 years was 29.70 in 2020, while its lowest value was 21.80 in 1990.

Definition: Prevalence of HIV is the percentage of people who are infected with HIV. Female rate is as a percentage of the total population ages 15+ who are living with HIV.

Source: UNAIDS estimates.

See also:

Year Value
1990 21.80
1991 22.70
1992 23.30
1993 23.70
1994 24.20
1995 24.80
1996 25.10
1997 25.70
1998 25.90
1999 26.30
2000 26.50
2001 26.70
2002 26.80
2003 26.90
2004 26.90
2005 27.10
2006 27.20
2007 27.20
2008 27.30
2009 27.40
2010 27.60
2011 27.80
2012 28.10
2013 28.30
2014 28.60
2015 28.80
2016 29.00
2017 29.20
2018 29.40
2019 29.60
2020 29.70

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

Classification

Topic: Health Indicators

Sub-Topic: Risk factors