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.

Rates of HIV diagnosis among males ages 13 and older by 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: Santa Clara County is for total population; race/ethnicity:Asian/Pacific Islander, Black/African American, Latino and White (non-Hispanic White only).Rate per 100,000 males ages 13 and older (Numeric): Number of HIV diagnosis per 100,000 males ages 13 and older in a particular category

description: These data were reported to the NYC DOHMH by June 30, 2014 This dataset includes data on new diagnoses of HIV and AIDS in NYC for the calendar years 2010 through 2013. Reported cases and case rates (per 100,000 population) are stratified by age group, race/ethnicity, and United Hospital Fund (UHF) neighborhood. For more information, please visit the HIV/AIDS Surveillance Data module on EpiQuery: nyc.gov/health/epiquery Note: - Rates marked "NA" cannot be calculated because the underlying population size is unknown. - Tables or charts may contain suppressed data: cells representing 1-5 person(s) with an underlying denominator of <500 persons, or non-zero cells witha denominator <=100 as per Intercensal 2014 estimates, are marked with an asterisk (); abstract: These data were reported to the NYC DOHMH by June 30, 2014 This dataset includes data on new diagnoses of HIV and AIDS in NYC for the calendar years 2010 through 2013. Reported cases and case rates (per 100,000 population) are stratified by age group, race/ethnicity, and United Hospital Fund (UHF) neighborhood. For more information, please visit the HIV/AIDS Surveillance Data module on EpiQuery: nyc.gov/health/epiquery Note: - Rates marked "NA" cannot be calculated because the underlying population size is unknown. - Tables or charts may contain suppressed data: cells representing 1-5 person(s) with an underlying denominator of <500 persons, or non-zero cells witha denominator <=100 as per Intercensal 2014 estimates, are marked with an asterisk ()

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.

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.

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.

*Includes persons of unknown race/ethnicity.Because of small populations of Native Hawaiians and other Pacific Islanders they are grouped with multiple races/other.

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

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.

As of 2023, only around six percent of male and eight percent of female high school students in the United States reported ever being tested for HIV. This graph presents the percentage of high school students in the United States who were ever tested for HIV as of 2023, by gender and race/ethnicity.

The share of Hispanics or Latinos in the U.S. with HIV who did not adhere to any prescribed medication due to the costs associated was approximately 6 percent. The statistic illustrates the prevalence of non-adherence to any prescribed medication due to costs among people with HIV in the U.S. from 2016 to 2017, by ethnicity.

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.

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.

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

HIV diagnoses have been growing in Hong Kong, particularly since around 1989. By March 2023, the cumulative number of ethnic Chinese diagnosed with HIV in Hong Kong stood at 8,176 among a total of 11,737 cases of HIV.

The self-defined ethnicity of married husbands and wives in the 2011 Ethiopian Demographic and Health Survey (Row percentages).

BackgroundThe reasons for black/white disparities in HIV epidemics among men who have sex with men have puzzled researchers for decades. Understanding reasons for these disparities requires looking beyond individual-level behavioral risk to a more comprehensive framework.Methods and FindingsFrom July 2010-Decemeber 2012, 803 men (454 black, 349 white) were recruited through venue-based and online sampling; consenting men were provided HIV and STI testing, completed a behavioral survey and a sex partner inventory, and provided place of residence for geocoding. HIV prevalence was higher among black (43%) versus white (13% MSM (prevalence ratio (PR) 3.3, 95% confidence interval (CI): 2.5–4.4). Among HIV-positive men, the median CD4 count was significantly lower for black (490 cells/µL) than white (577 cells/µL) MSM; there was no difference in the HIV RNA viral load by race. Black men were younger, more likely to be bisexual and unemployed, had less educational attainment, and reported fewer male sex partners, fewer unprotected anal sex partners, and less non-injection drug use. Black MSM were significantly more likely than white MSM to have rectal chlamydia and gonorrhea, were more likely to have racially concordant partnerships, more likely to have casual (one-time) partners, and less likely to discuss serostatus with partners. The census tracts where black MSM lived had higher rates of poverty and unemployment, and lower median income. They also had lower proportions of male-male households, lower male to female sex ratios, and lower HIV diagnosis rates.ConclusionsAmong black and white MSM in Atlanta, disparities in HIV and STI prevalence by race are comparable to those observed nationally. We identified differences between black and white MSM at the individual, dyadic/sexual network, and community levels. The reasons for black/white disparities in HIV prevalence in Atlanta are complex, and will likely require a multilevel framework to understand comprehensively.

AIDS diagnoses have been growing in Hong Kong, particularly since around 1994. By March 2023, the cumulative number of ethnic Chinese diagnosed with AIDS in Hong Kong stood at 1,866 among a total of 2,417 cases of AIDS.

Data sources: heroin overdose deaths/infant mortality-Vital Statistics Administration; lead-Medicaid; HIV diagnoses-Prevention and Health Promotion Administration; and immunizations-National Immunization Survey.