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

Women's share of population ages 15+ living with HIV (%) in Zimbabwe was 60.40 as of 2020. Its highest value over the past 30 years was 60.40 in 2020, while its lowest value was 53.20 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 53.20
1991 53.70
1992 54.10
1993 54.50
1994 54.80
1995 55.00
1996 55.30
1997 55.50
1998 55.80
1999 56.00
2000 56.30
2001 56.60
2002 56.80
2003 57.10
2004 57.30
2005 57.40
2006 57.60
2007 57.70
2008 57.80
2009 57.80
2010 58.50
2011 58.70
2012 58.90
2013 59.20
2014 59.40
2015 59.50
2016 59.70
2017 59.90
2018 60.00
2019 60.20
2020 60.40

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