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

Women's share of population ages 15+ living with HIV (%) in Fiji was 46.40 as of 2020. Its highest value over the past 30 years was 46.40 in 2020, while its lowest value was 35.00 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 35.00
1991 37.00
1992 37.10
1993 38.60
1994 39.60
1995 40.60
1996 41.10
1997 41.70
1998 42.30
1999 42.70
2000 43.20
2001 43.70
2002 43.50
2003 44.00
2004 44.00
2005 44.40
2006 44.60
2007 44.80
2008 44.80
2009 45.10
2010 45.20
2011 45.40
2012 45.50
2013 45.50
2014 45.70
2015 45.70
2016 45.80
2017 46.00
2018 46.20
2019 46.30
2020 46.40

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