Latin America & Caribbean | Prevalence of HIV, total (% of population ages 15-49)

Prevalence of HIV refers to the percentage of people ages 15-49 who are infected with HIV. 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.
Publisher
The World Bank
Origin
Latin America & Caribbean
Records
63
Source
Latin America & Caribbean | Prevalence of HIV, total (% of population ages 15-49)
1960
1961
1962
1963
1964
1965
1966
1967
1968
1969
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990 0.19679183
1991 0.20671436
1992 0.21758967
1993 0.25699781
1994 0.2650986
1995 0.27599235
1996 0.28945427
1997 0.34728087
1998 0.3453204
1999 0.36087223
2000 0.36705501
2001 0.36729905
2002 0.37024613
2003 0.42934933
2004 0.42936136
2005 0.42673562
2006 0.4317287
2007 0.43519206
2008 0.43099261
2009 0.46369955
2010 0.46672652
2011 0.46513801
2012 0.46363653
2013 0.4566486
2014 0.4626256
2015 0.46472194
2016 0.48328874
2017 0.48406513
2018 0.48810113
2019 0.48858109
2020 0.52350893
2021 0.51943455
2022

Latin America & Caribbean | Prevalence of HIV, total (% of population ages 15-49)

Prevalence of HIV refers to the percentage of people ages 15-49 who are infected with HIV. 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.
Publisher
The World Bank
Origin
Latin America & Caribbean
Records
63
Source