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

Women's share of population ages 15+ living with HIV (%) in Niger was 58.70 as of 2020. Its highest value over the past 30 years was 58.70 in 2020, while its lowest value was 45.20 in 2001.

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 46.40
1991 46.50
1992 46.50
1993 46.40
1994 46.30
1995 46.10
1996 46.00
1997 45.80
1998 45.60
1999 45.40
2000 45.30
2001 45.20
2002 45.20
2003 45.20
2004 45.40
2005 45.60
2006 46.00
2007 46.60
2008 47.40
2009 48.40
2010 49.50
2011 50.70
2012 51.80
2013 52.90
2014 54.00
2015 55.20
2016 56.30
2017 57.10
2018 57.70
2019 58.20
2020 58.70

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