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

Women's share of population ages 15+ living with HIV (%) in Peru was 20.10 as of 2020. Its highest value over the past 30 years was 20.10 in 2020, while its lowest value was 9.30 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 9.30
1991 9.90
1992 10.60
1993 11.30
1994 12.00
1995 12.70
1996 13.40
1997 14.00
1998 14.60
1999 15.00
2000 15.40
2001 15.70
2002 16.00
2003 16.20
2004 16.40
2005 16.70
2006 16.90
2007 17.30
2008 17.80
2009 18.40
2010 18.90
2011 19.20
2012 19.50
2013 19.70
2014 19.90
2015 19.90
2016 20.00
2017 20.00
2018 20.00
2019 20.00
2020 20.10

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