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

Women's share of population ages 15+ living with HIV (%) in Uruguay was 43.80 as of 2020. Its highest value over the past 30 years was 46.80 in 2005, while its lowest value was 43.70 in 2018.

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 44.80
1991 45.40
1992 45.70
1993 46.00
1994 46.20
1995 46.30
1996 46.40
1997 46.40
1998 46.40
1999 46.40
2000 46.40
2001 46.50
2002 46.60
2003 46.70
2004 46.80
2005 46.80
2006 46.70
2007 46.60
2008 46.30
2009 46.00
2010 45.70
2011 45.40
2012 45.00
2013 44.60
2014 44.40
2015 44.20
2016 44.00
2017 43.80
2018 43.70
2019 43.70
2020 43.80

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