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

Women's share of population ages 15+ living with HIV (%) in Romania was 38.70 as of 2020. Its highest value over the past 30 years was 49.60 in 2001, while its lowest value was 38.70 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 44.10
1991 45.30
1992 46.30
1993 47.10
1994 47.80
1995 48.30
1996 48.80
1997 49.20
1998 49.40
1999 49.50
2000 49.60
2001 49.60
2002 49.50
2003 49.50
2004 49.30
2005 49.10
2006 48.90
2007 48.70
2008 48.40
2009 48.10
2010 47.60
2011 47.00
2012 46.30
2013 45.40
2014 44.10
2015 43.00
2016 42.00
2017 41.20
2018 40.40
2019 39.50
2020 38.70

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