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

Women's share of population ages 15+ living with HIV (%) in Guatemala was 40.60 as of 2020. Its highest value over the past 30 years was 41.20 in 2016, while its lowest value was 8.30 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 8.30
1991 10.80
1992 13.30
1993 15.90
1994 18.40
1995 20.80
1996 23.10
1997 25.40
1998 27.60
1999 29.80
2000 31.90
2001 33.90
2002 35.70
2003 37.10
2004 37.80
2005 38.40
2006 39.00
2007 39.40
2008 39.80
2009 40.10
2010 40.20
2011 40.40
2012 40.60
2013 40.70
2014 40.80
2015 41.00
2016 41.20
2017 41.10
2018 41.00
2019 40.80
2020 40.60

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