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

Women's share of population ages 15+ living with HIV (%) in Italy was 28.60 as of 2020. Its highest value over the past 30 years was 28.60 in 2020, while its lowest value was 26.60 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 26.60
1991 26.70
1992 26.80
1993 26.90
1994 27.00
1995 27.00
1996 27.10
1997 27.20
1998 27.30
1999 27.40
2000 27.50
2001 27.50
2002 27.60
2003 27.60
2004 27.70
2005 27.70
2006 27.80
2007 27.90
2008 27.90
2009 28.00
2010 28.00
2011 28.10
2012 28.10
2013 28.10
2014 28.20
2015 28.20
2016 28.20
2017 28.30
2018 28.40
2019 28.50
2020 28.60

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