HIV/AIDS deaths in the U.S. have dropped significantly in recent years. In 1995, the death rate from HIV per 100,000 people was 16.2. That number has since decreased to 1.3 per 100,000 as of 2023. The reduction in the HIV death rate in the U.S. can be attributed to an increase in access to HIV medications. HIV/AIDS in the U.S. Human immunodeficiency virus (HIV) and acquired immune deficiency syndrome (AIDS) cause a systemic viral infection that damages the immune system. AIDS is a syndrome that is caused by HIV. AIDS is when the immune system is severely weakened by HIV and the body can no longer fight off infections. Among all U.S. states, Georgia, followed by Florida and Louisiana, had the highest rates of new HIV diagnoses in 2022. HIV/AIDS treatments in the U.S. HIV/AIDS treatments include antiretroviral medications to reduce the levels of HIV within the body. The largest funders for HIV/AIDS medications and research are the National Institutes of Health (NIH) and the Ryan White Program. The top HIV drug worldwide, based on revenue generated in 2023 was Biktarvy. Around the world, access to antiretroviral treatment has increased dramatically in recent years, a huge step in reducing the number of HIV-related deaths. There is currently no cure for HIV.

In 2023, the death rate from HIV was highest among African Americans, with around 18 deaths per 100,000 population. This statistic shows the death rate from HIV in the U.S. in 2023, by race and ethnicity, per 100,000 population.

This data set includes tables on persons living with HIV/AIDS, newly diagnosed HIV cases and all cause deaths in HIV/AIDS cases by gender, age, race/ethnicity and transmission category. In all tables, cases are reported as of December 31 of the given year, as reported by January 9, 2019, to allow a minimum of 12 months reporting delay. Gender is determined by both current gender and sex at birth variables; transgender values are assigned when current gender is identified as "Transgender" or when a discrepancy is identified between a person's sex at birth and their current gender (e.g., cases where sex at birth is "Male" and current gender is "Female" will become Transgender: Male to Female.) Prior to 2003, Asian and Native Hawaiian/Pacific Islanders were classified as one combined group. In order to present these race/ethnicities separately, living cases recorded under this combined classification were split and redistributed according to their expected proportional population representation estimated from post-2003 data.

United States US: Prevalence of HIV: Total: % of Population Aged 15-49 data was reported at 0.500 % in 2014. This stayed constant from the previous number of 0.500 % for 2013. United States US: Prevalence of HIV: Total: % of Population Aged 15-49 data is updated yearly, averaging 0.500 % from Dec 2008 (Median) to 2014, with 7 observations. The data reached an all-time high of 0.500 % in 2014 and a record low of 0.500 % in 2014. United States US: Prevalence of HIV: Total: % of Population Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Health Statistics. Prevalence of HIV refers to the percentage of people ages 15-49 who are infected with HIV.; ; UNAIDS estimates.; Weighted Average;

Contents

HIV/AIDS** data from the HIV Surveillance Annual Report * Note: Data reported to the HIV Epidemiology and Field Services Program by June 30, 2016. All data shown are for people ages 13 and older. Borough-wide and citywide totals may include cases assigned to a borough with an unknown UHF or assigned to NYC with an unknown borough, respectively. Therefore, UHF totals may not sum to borough totals and borough totals may not sum to citywide totals."

Dataset has 18 features including:

Year, Borough, UHF, Gender, Age, Race, HIV diagnoses, HIV diagnosis rate, Concurrent diagnoses, % linked to care within 3 months, AIDS diagnoses, AIDS diagnosis rate, PLWDHI prevalence, % viral suppression, Deaths, Death rate, HIV-related death rate, Non-HIV-related death rate

This scatter chart displays incidence of HIV (per 1,000 uninfected population) against death rate (per 1,000 people) in the Americas. The data is about regions.

This scatter chart displays death rate (per 1,000 people) against incidence of HIV (per 1,000 uninfected population). The data is about regions.

This scatter chart displays incidence of HIV (per 1,000 uninfected population) against death rate (per 1,000 people). The data is about countries.

In 2023, the death rate from HIV was highest among those aged 60 to 64 years, with around **** deaths per 100,000 population. This statistic shows the death rate from HIV in the U.S. in 2023, by age, per 100,000 population.

Rate: Number of deaths (per 100,000) due to HIV disease

Definition: Deaths with human immunodeficiency virus (HIV) disease as the underlying cause (ICD-10 codes: B20-B24).

Data Sources:

(1) Centers for Disease Control and Prevention, National Center for Health Statistics

(2) Death Certificate Database, Office of Vital Statistics and Registry, New Jersey Department of Health

(3) Population Estimates, State Data Center, New Jersey Department of Labor and Workforce Development

This scatter chart displays death rate (per 1,000 people) against incidence of HIV (per 1,000 uninfected population) in Europe. The data is about countries.

Prevalence of HIV, total (% of population ages 15-49) in United States was reported at 0.4 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Prevalence of HIV, total (% of population ages 15-49) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

The AIDS Public Information Data Set (APIDS) for years 1981-2002 on CDC WONDER online database contains counts of AIDS (Acquired Immune Deficiency Syndrome) cases reported by state and local health departments, by demographics; location (region and selected metropolitan areas); case-definition; month/year and quarter-year of diagnosis, report, and death (if applicable); and HIV exposure group (risk factors for AIDS). Data are produced by the US Department of Health and Human Services (US DHHS), Public Health Service (PHS), Centers for Disease Control and Prevention (CDC), National Center for HIV, STD and TB Prevention (NCHSTP), Division of HIV/AIDS Prevention (DHP).

BackgroundIn a given population the age pattern of mortality is an important determinant of total number of deaths, age structure, and through effects on age structure, the number of births and thereby growth. Good mortality models exist for most populations except those experiencing generalized HIV epidemics and some developing country populations. The large number of deaths concentrated at very young and adult ages in HIV-affected populations produce a unique ‘humped’ age pattern of mortality that is not reproduced by any existing mortality models. Both burden of disease reporting and population projection methods require age-specific mortality rates to estimate numbers of deaths and produce plausible age structures. For countries with generalized HIV epidemics these estimates should take into account the future trajectory of HIV prevalence and its effects on age-specific mortality. In this paper we present a parsimonious model of age-specific mortality for countries with generalized HIV/AIDS epidemics.Methods and FindingsThe model represents a vector of age-specific mortality rates as the weighted sum of three independent age-varying components. We derive the age-varying components from a Singular Value Decomposition of the matrix of age-specific mortality rate schedules. The weights are modeled as a function of HIV prevalence and one of three possible sets of inputs: life expectancy at birth, a measure of child mortality, or child mortality with a measure of adult mortality. We calibrate the model with 320 five-year life tables for each sex from the World Population Prospects 2010 revision that come from the 40 countries of the world that have and are experiencing a generalized HIV epidemic. Cross validation shows that the model is able to outperform several existing model life table systems.ConclusionsWe present a flexible, parsimonious model of age-specific mortality for countries with generalized HIV epidemics. Combined with the outputs of existing epidemiological and demographic models, this model makes it possible to project future age-specific mortality profiles and number of deaths for countries with generalized HIV epidemics.

This dataset is about countries per year in Burkina Faso. It has 64 rows. It features 4 columns: country, incidence of HIV, and death rate.

This dataset is about countries per year in Jordan. It has 64 rows. It features 4 columns: country, incidence of HIV, and death rate.

This dataset is about countries. It has 194 rows. It features 5 columns: access to electricity, incidence of HIV, death rate, and population. It is 94% filled with non-null values.

Cuba CU: Prevalence of HIV: Total: % of Population Aged 15-49 data was reported at 0.600 % in 2022. This stayed constant from the previous number of 0.600 % for 2021. Cuba CU: Prevalence of HIV: Total: % of Population Aged 15-49 data is updated yearly, averaging 0.200 % from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 0.600 % in 2022 and a record low of 0.100 % in 2003. Cuba CU: Prevalence of HIV: Total: % of Population Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Cuba – Table CU.World Bank.WDI: Social: Health Statistics. Prevalence of HIV refers to the percentage of people ages 15-49 who are infected with HIV.;UNAIDS estimates.;Weighted average;

This dataset is about countries in Africa. It has 54 rows. It features 3 columns: incidence of HIV, and death rate.