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

Women's share of population ages 15+ living with HIV (%) in Paraguay was 40.90 as of 2020. Its highest value over the past 30 years was 41.90 in 2007, while its lowest value was 32.80 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 32.80
1991 33.80
1992 34.60
1993 35.50
1994 36.50
1995 37.40
1996 38.30
1997 39.00
1998 39.60
1999 40.10
2000 40.50
2001 40.80
2002 41.20
2003 41.40
2004 41.70
2005 41.90
2006 41.90
2007 41.90
2008 41.80
2009 41.70
2010 41.60
2011 41.50
2012 41.40
2013 41.50
2014 41.50
2015 41.50
2016 41.40
2017 41.40
2018 41.30
2019 41.10
2020 40.90

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