In 2022, Black or African Americans had the highest rates of HIV diagnoses among males in the United States. In that year, among all men, 22 per 100,000 men were diagnosed with HIV. This statistic displays the rate of HIV diagnoses among males in the U.S. in 2022, by race and ethnicity (per 100,000 population).

These data were reported to the NYC DOHMH by March 31, 2021 This dataset includes data on new diagnoses of HIV and AIDS in NYC for the calendar years 2016 through 2020. Reported cases and case rates (per 100,000 population) are stratified by United Hospital Fund (UHF) neighborhood, sex, and race/ethnicity. Note: - Cells marked "NA" cannot be calculated because of cell suppression or 0 denominator.

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.

These data were reported to the NYC DOHMH by March 31, 2021 This dataset includes data on new diagnoses of HIV and AIDS in NYC for the calendar years 2016 through 2020. Reported cases and case rates (per 100,000 population) are stratified by United Hospital Fund (UHF) neighborhood, age group, and race/ethnicity. Note: - Cells marked "NA" cannot be calculated because of cell suppression or 0 denominator.

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.

Percentages of MSM newly diagnosed with HIV infection by age and race/ethnicity, 2016, Santa Clara County. Source: Santa Clara County Public Health Department, enhanced HIV/AIDS reporting system (eHARS), data as of 4/30/2017. METADATA:Notes (String): Lists table title, notes and sourcesCategory (String): Lists the category representing the data: Age group: 13-24, 25-29, 30-39, 40-49, 50 and older; race/ethnicity:Asian/Pacific Islander, Black/African American, Latino, White (non-Hispanic White only), Other/Unknown.Percentage (Numeric): Percentage of MSM diagnosed with HIV in a particular category among all MSM diagnoses

These data were reported to the NYC DOHMH by March 31, 2021 This dataset includes data on new diagnoses of HIV and AIDS in NYC for the calendar years 2016 through 2020. Reported cases and case rates (per 100,000 population) are stratified by United Hospital Fund (UHF) neighborhood, sex, and race/ethnicity. Note: - Cells marked "NA" cannot be calculated because of cell suppression or 0 denominator.

In 2022, among first-time HIV cases in Canada where race and/or ethnicity was reported, 30.5 percent of cases were identified as white. Indigenous people (including First Nations, Inuit, Métis, and those identified as Indigenous-not otherwise specified) accounted for 22.6 percent of cases, and 18 percent were reported as Black. This statistic shows the distribution of first-time HIV diagnoses in 2022 in Canada, by race and/or ethnicity reported.

The states with the highest rates of HIV diagnoses in 2022 included Georgia, Louisiana, and Florida. However, the states with the highest number of people with HIV were Texas, California, and Florida. In Texas, there were around 4,896 people diagnosed with HIV. HIV/AIDS diagnoses In 2022, there were an estimated 38,043 new HIV diagnoses in the United States, a slight increase compared to the year before. Men account for the majority of these new diagnoses. There are currently around 1.2 million people living with HIV in the United States. Deaths from HIV The death rate from HIV has decreased significantly over the past few decades. In 2023, there were only 1.3 deaths from HIV per 100,000 population, the lowest rate since the epidemic began. However, the death rate varies greatly depending on race or ethnicity, with the death rate from HIV for African Americans reaching 19.2 per 100,000 population in 2022, compared to just three deaths per 100,000 among the white population.

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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

1MSM includes MSM-IDU.2Heterosexual/Injection Drug Use/Other mode of transmission.**Incidence estimate not calculated due to incomplete data.

Because of the small populations of American Indian/Alaska Native populations in the cities, they are grouped with multiple races/other.Because of small populations of Native Hawaiians and other Pacific Islanders they are grouped with multiple races/other.

Descriptive statistics Descriptive statistics for the dependent and independent variables of this study were presented in Table 1. Out of 3314 undergraduate students in the sample, 2583 (77.9%) expressed their willingness to accept a free HIV test. More than two thirds (66.9%) of these subjects were females and the majority of respondents (94.5%) were Han. Of college students in this sample, nearly two fifths (37.4%) lived in the local city less than one year and about one third (31.0%) were freshmen. Nearly one half (48.2%) of our participants were medical students. To our surprise, 15.2% reported their sexual orientation is non-heterosexual and 55.9% spent less than one thousand Yuan on their monthly living expenses. HIV/AIDS-related knowledge was lacking with only 39.1% of participants answering more than 10 out of twelve questions correctly. Furthermore, stigma and discrimination towards people living with HIV/AIDS were serious, since the number of correct responses that nearly half (45.5%) of the respondents responded to the 24 specific situations was no more than eighteen. The majority of college students mentioned at least one free HIV testing site and also recognized the necessity to provide a free HIV test in the local university (78.8% and 88.7%, respectively). Beyond our expectation, more than half (56.2%) of college students were ignorant of the "Four Frees and One Care" policy. Despite the fact that 18.9% of college students reported having had sexual behavior, only 49.5% perceived the risk of HIV infection. Bivariable analysis The results of the bivariable analysis were shown in Table 1. Those who expressed greater willingness to accept a free HIV test tended to be medical students, higher levels of HIV-related knowledge, lower levels of stigma and discrimination, awareness of the "Four Frees and One Care" policy, knowledge of free HIV testing centers, recognition of the necessity to provide a free HIV test in the local university, and higher perception of the risk of HIV infection. No significant differences were reported between willingness and unwillingness in gender, race, grade, length of time, sexual orientation, monthly living expense, and history of sexual behavior. Multivariable logistic regression analysis The stepwise multiple logistic regression model predicting willingness to accept a free HIV test was shown in Table 2. When all seven significant variables were included into the logistic regression model, only four variables (i.e., stigma and discrimination towards people living with HIV/AIDS, knowledge of free HIV testing centers, recognition of the necessity to provide a free HIV test in the local university, perceived risk of HIV infection) remained statistically significantly related to willingness to participate in a free HIV test, while three variables including major, HIV-related knowledge, and awareness of the “Four Frees and One Care” policy lost their statistical significance, as indicated in Table 2. Among all these four significant predictors, the odds ratio(OR) was the highest for recognition of the necessity to provide a free HIV test in the local university. The college students having recognized the necessity were more likely to express their willingness to accept to a free HIV test (OR=2.20, 95CI=1.73--2.80, P<0.001) than those having not recognized the necessity. The odds of willingness were 1.41 times (95CI=1.17--1.68, P<0.001) of respondents who had lower levels of stigma and discrimination towards people living with HIV/AIDS, compared to that of those with high levels of stigma and discrimination. In addition, being more knowledgeable about free HIV testing centers (OR = 1.44, 95%CI=1.17--1.77, P<0.001) and having higher HIV risk perception (OR =1.64, 95%CI=1.37--1.95, P<0.001) were significantly associated with greater willingness to use VCT service.

In 2023, Black or African Americans accounted for 50 percent of all HIV diagnoses among females in the United States. This statistic shows the distribution of HIV diagnoses among females in the U.S. in 2023, by race and ethnicity.

Background: The majority of the transgender female population in South Florida are Latina and Black, and are at greatest risk for acquiring HIV, yet there is limited research focused on South Florida transgender women of color. The study objective was to describe the disparities among racial/ethnic minority transgender women regarding HIV screening, pre exposure prophylaxis (PrEP) knowledge and PrEP utilization.

Methods: Sixty transgender women, recruited from South Florida community-based organizations, completed a questionnaire on HIV prevention and PrEP awareness and use. Univariate statistics were generated to describe sexual risk behavior, PrEP awareness and use, and HIV screening by race/ethnicity.

Results: Of the 60 participants, 50% were Latina, 35% African American/non-Hispanic Black (AA/NHB), 12% white and 3% other race/ethnicity. 75% reported being screened for HIV in the last 12 months, 15% of the participants reported living with HIV (PLWH), while 19% reported an unknown status. Compared to Latinas, AA/NHB demonstrated more risk (>1 sexual partner: 76% vs 57%; transactional sex: 49% vs. 29%; unprotected receptive anal sex: 43% v. 27%), yet had less engagement in routine care (77% vs. 86%). PrEP knowledge was 77% among Latinas, 71% among whites, 48% among Blacks, and 50% among other race/ethnicity. 65% of participants knew about PrEP. Of the 8% with current or previous PrEP use, none were African American.

Conclusion: Findings suggest that education and public health campaigns in South Florida that promote HIV prevention should focus on increasing awareness and utilization of PrEP among racial/ethnic minority transgender, particularly among AA/NHB transgender women who are most at risk and had the lowest knowledge and use of PrEP.

In 2022, among first-time HIV cases in Canada where race and/or ethnicity was reported, the highest share among males was among white individuals, at 34.6 percent. Among females, the highest share was reported by Indigenous females, at 41.7 percent. This statistic shows the distribution of first-time HIV diagnoses in 2022 in Canada, by race and/or ethnicity reported and gender.

Demographics on ethnicity and risk factors for HIV/AIDS in Napa County, 2017-2024.

HIV care continuum among persons with HIV infection ages 13 and older, 2016, Santa Clara County. The HIV care continuum is a model to track the delivery of services to persons with HIV infection across the entire continuum of diagnosis and care. It has five major stages of HIV medical care that persons with HIV infection will go through from initial HIV diagnosis to achieving viral suppression. They are 1) HIV diagnosis, 2) linkage to care, 3) engagement and retention in care, 4) receiving antiretroviral therapy, and 5) achieving viral suppression. Estimates of linkage to care, engagement and retention in care, and viral suppression are included in this data table. Source: Santa Clara County Public Health Department, enhanced HIV/AIDS reporting system (eHARS), data as of 4/30/2017. METADATA:Notes (String): Lists table title, notes and sourcesCategory (String): Lists the category representing the data: Santa Clara County is for total population living with HIV infection; sex: male, female; age group: 13-24, 25-44, 45-64, 65 and older; race/ethnicity: African American, Asian/Pacific Islander, Latino and White (non-Hispanic White only); transmission mode: MSM, IDU, MSM & IDU, heterosexual contactPercentage of linkage to care (Numeric): Percentage of persons with one or more documented viral load or CD4 test within one month of diagnosis among all persons newly diagnosed with HIV infection in 2016. Percentages are not reported if the denominator is less than 20.Percentage of in care (Numeric): Percentage of persons with at least 1 documented CD4 or viral load test in 2016 among those diagnosed with HIV through 2015 and alive in 2016. Percentages are not reported if the denominator is less than 20.Percentage of retention in care (Numeric): Percentage of persons with at least 2 documented CD4 or viral load tests in 2016, at least 3 months apart among those diagnosed with HIV through 2015 and alive in 2016. Percentages are not reported if the denominator is less than 20.Percentage of viral load suppression (Numeric): Percentage of persons with most recent HIV viral load in 2016 less than 200 copies/ml among those diagnosed with HIV through 2015 and alive in 2016. Percentages are not reported if the denominator is less than 20.

Description: The adult and youth data of the SABSSM 2002 study cover information from adults and youths 15 years and older on topics ranging from biographical information, media and communication, male circumcision, marital status and marriage practice, partner and partner characteristics, sexual behaviour and practices, voluntary counseling and testing (VCT), sexual orientation, interpersonal communication, practices around widowhood, knowledge and perceptions of HIV and AIDS, stigma, hospitalisation and health status. The data set consists of 643 variables and 9788 cases. Abstract: Background: This is the first in a series of national HIV household surveys conducted in South Africa. The survey was commissioned by the Nelson Mandela Children's Fund and the Nelson Mandela Foundation. The key aims were to determine the HIV prevalence in the general population, identify risk factors that increase vulnerability of South Africans to HIV infections, to identify the contexts within which sexual behaviour occurs and the obstacles to risk reduction and to determine the level of exposure of all sectors of society to current prevention. The Nelson Mandela Children's Fund requested the HSRC to assess the impact of current HIV and AIDS education and awareness programmes designed to slow down the epidemic, including infection rates, stigma, care and support for affected individuals and families. Methodology: Sampling methods: multi-stage cluster stratified sample stratified by province, settlement geography (geotype) and predominant race group in each area. A systematic sample of 15 households was drawn from each of 1 000 census enumeration areas (EAs). In each household, one person was randomly selected in each of four mutually exclusive age groups (2-11 years; 12-14 years; 15-24 years; 25+ years). Field workers administered questionnaires to selected respondents and also collected oral fluid specimens for HIV testing. Results: This study sampled a cross-section of 9 963 South Africans aged two years and older. HIV is a generalised epidemic in South Africa that extends to all age groups, geographic areas and race groups. It showed 11.4 % were HIV positive, 15.6 per cent of them aged between 15 and 49. Women (12.8% HIV positive) were more at risk of infection than men (9.5% HIV positive). Urban informal settlements have the highest incidence of HIV infection (21.3%). Free State showed the highest prevalence (14.9%) with Eastern Cape having the lowest (6.6%). Higher rates of infection (5.6%) are also found in children aged 2-14 and Africans (10.2%). Awareness of HIV status was low. Only 18.9% reported that they were previously tested. Fewer women (3.9%) reported more than one sexual partner as compared to men (13.5%). Condom use at last sex was low among both women (24.7%) and men (30.3%). Knowledge of HIV and AIDS is generally high, with sexual behaviour changes taking root in encouragingly low numbers of sexual partners and high levels of abstinence among the youth. There is still great uncertainty of the relationship between HIV and AIDS and popular myths. South Africans from all walks of life are at risk. In particular, wealthy Africans have the same levels of risk as poorer Africans - whereas in other race groups, poorer people are more vulnerable to infection. Conclusions: The study recommended the expansion of voluntary counselling and testing. Prevention programmes ought to focus on reduction on multiple partners and increased condom use. It further recommended, inter alia, that HIV/AIDS prevention programmes be intensified for people living in informal settlements, campaigns be implemented using mass media to address myths and misconceptions and that information needs in rural communities and poorer households due to lack of access to mass media channels, should be attended to.