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

Women's share of population ages 15+ living with HIV (%) in New Zealand was 15.90 as of 2020. Its highest value over the past 30 years was 19.50 in 1998, while its lowest value was 15.90 in 2020.

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 19.00
1991 19.10
1992 19.10
1993 19.20
1994 19.20
1995 19.40
1996 19.40
1997 19.40
1998 19.50
1999 19.30
2000 19.10
2001 19.00
2002 18.90
2003 18.90
2004 18.90
2005 19.00
2006 19.10
2007 19.20
2008 19.20
2009 19.20
2010 19.10
2011 18.90
2012 18.70
2013 18.50
2014 18.20
2015 17.80
2016 17.50
2017 17.10
2018 16.60
2019 16.30
2020 15.90

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