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

Women's share of population ages 15+ living with HIV (%) in Argentina was 30.80 as of 2020. Its highest value over the past 30 years was 30.80 in 2020, while its lowest value was 28.80 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 28.80
1991 28.90
1992 29.00
1993 29.00
1994 29.10
1995 29.20
1996 29.30
1997 29.40
1998 29.40
1999 29.50
2000 29.50
2001 29.60
2002 29.60
2003 29.70
2004 29.70
2005 29.80
2006 29.90
2007 30.00
2008 30.10
2009 30.10
2010 30.20
2011 30.30
2012 30.30
2013 30.40
2014 30.50
2015 30.50
2016 30.60
2017 30.60
2018 30.70
2019 30.80
2020 30.80

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