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

Women's share of population ages 15+ living with HIV (%) in Djibouti was 56.50 as of 2020. Its highest value over the past 30 years was 56.50 in 2020, while its lowest value was 47.20 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 47.20
1991 49.00
1992 50.30
1993 51.50
1994 52.60
1995 53.40
1996 54.10
1997 54.70
1998 55.00
1999 55.10
2000 55.20
2001 55.30
2002 55.30
2003 55.40
2004 55.50
2005 55.60
2006 55.70
2007 55.80
2008 55.80
2009 55.90
2010 55.90
2011 55.90
2012 55.90
2013 55.80
2014 55.80
2015 56.00
2016 55.80
2017 55.70
2018 56.00
2019 56.30
2020 56.50

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