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

Women's share of population ages 15+ living with HIV (%) in Suriname was 46.80 as of 2020. Its highest value over the past 30 years was 61.40 in 1990, while its lowest value was 41.40 in 2007.

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 61.40
1991 59.10
1992 57.00
1993 55.00
1994 53.00
1995 51.20
1996 49.50
1997 48.10
1998 46.70
1999 45.50
2000 44.50
2001 43.70
2002 43.00
2003 42.40
2004 42.00
2005 41.70
2006 41.50
2007 41.40
2008 41.50
2009 41.60
2010 41.80
2011 42.10
2012 42.40
2013 42.90
2014 43.50
2015 44.10
2016 44.80
2017 45.30
2018 45.80
2019 46.30
2020 46.80

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