Core Indicators for Monitoring the Ending the HIV Epidemic Initiative

Core Indicators for Monitoring the Ending the HIV Epidemic Initiative:
National HIV Surveillance System Data Reported through December 2022; and Preexposure Prophylaxis (PrEP) Data Reported through September 2022
This issue of HIV Surveillance Data Tables is published by the Division of HIV Prevention (DHP), National Center for HIV, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention (CDC), U.S. Department of Health and Human Services, Atlanta, Georgia.
Data are presented for diagnoses of HIV infection reported to CDC through December 2022 and preexposure prophylaxis (PrEP) data reported through September 2022.
HIV Surveillance Data Tables is not copyrighted and may be used and copied without permission. Citation of the source is, however, appreciated.
Suggested Citation
Centers for Disease Control and Prevention. Core indicators for monitoring the Ending the HIV Epidemic initiative: National HIV Surveillance System data reported through December 2022; and preexposure prophylaxis (PrEP) data reported through September 2022. HIV Surveillance Data Tables 2022;3(4). https://www.cdc.gov/hiv/library/reports/surveillance-data-tables/. Published May 2023. Accessed [date].
Technical Notes
The Ending the HIV Epidemic in the U.S. (EHE) initiative leverages critical scientific advances in HIV prevention, diagnosis, treatment, and outbreak response [1]. The goal of the initiative is to reduce new HIV infections by 75% by 2025 and then by at least 90% by 2030. The included tables provide national-, state-, and county-level (EHE Phase I jurisdictions only; see Table 7) data for the 6 core indicators of the EHE initiative, which are the following:
- New HIV infections: the estimated number of new HIV infections in a calendar year.
- Knowledge of HIV status: the estimated percentage of persons with HIV who have received a diagnosis.
- Diagnoses of HIV infection: the number of HIV infections confirmed by laboratory or clinical evidence in a calendar year.
- Linkage to HIV medical care: the percentage of persons who have received a diagnosis of HIV infection in a calendar year and were linked to HIV medical care within 1 month.
- HIV viral suppression: the percentage of persons living with diagnosed HIV who have a suppressed viral load at the most recent test in a calendar year.
- Preexposure prophylaxis (PrEP) coverage: the percentage of the number of persons prescribed PrEP in a calendar year relative to the estimated number of persons with indications for PrEP in a calendar year.
The Centers for Disease Control and Prevention (CDC) routinely releases HIV Surveillance Data Tables on the core indicators for EHE to allow for more timely monitoring of progress.
Surveillance of HIV Infection
Data presented were reported (after the removal of personally identifiable information) to the CDC through December 31, 2022. Please use caution when interpreting the following:
- Data for the year 2020. Should be interpreted with caution due to the impact of the COVID-19 pandemic on access to HIV testing, care-related services, and case surveillance activities in state/local jurisdictions. [2–6].
- Data for the year 2022. Data provided using a National HIV Surveillance System (NHSS) dataset produced prior to reaching a 12-month reporting lag are considered preliminary.
- HIV incidence and prevalence estimates. Estimates for years 2020 and 2021 should be interpreted with caution due to adjustments made to the CD4+ T-lymphocyte (CD4)-based depletion model [7] to account for the impact of COVID-19 on HIV testing and diagnosis in the United States. The original CD4-based model assumes stable testing and diagnosis trends during the period assessed. However, the COVID-19 pandemic caused both HIV testing [5, 6] and HIV diagnoses [8, 9] to deviate from recent trends. The monthly distribution of diagnoses occurring during 2020 and 2021 were adjusted to account for excess delay. See the Technical Notes of Estimated HIV incidence and prevalence in the United States, 2017–2021 at https://www.cdc.gov/hiv/library/reports/hiv-surveillance.html for additional information.
- Data on diagnoses of HIV infection. HIV surveillance reports may not be representative of all persons with HIV because not all infected persons have been (1) tested or (2) tested at a time when the infection could be detected and diagnosed. Also, some states offer anonymous HIV testing; the results of anonymous tests are not reported to the confidential, name-based HIV registries of state and local health departments. Therefore, reports of confidential test results may not represent all persons who tested positive for HIV infection.
- Deaths and prevalence-based data (HIV viral suppression) due to known delays in reporting of deaths to CDC.
- Numbers less than 12 and trends based on these numbers.
Tabulation and Presentation of Data
New HIV Infections (HIV Incidence)
New HIV infections among persons aged ≥ 13 years are estimated using the first CD4 test result after HIV diagnosis and a CD4-depletion model indicating disease progression or duration after infection (Tables 1a–c).
More information on estimating new HIV infections can be found at in the report Estimated HIV incidence and prevalence in the United States, 2017–2021 at https://www.cdc.gov/hiv/library/reports/hiv-surveillance.html.
Knowledge of HIV Status
The Knowledge of HIV Status indicator is measured as the percentage of persons aged ≥ 13 years with diagnosed HIV infection (Tables 2a–c). For this measure, the numerator (data reported to CDC) is the number of persons aged ≥ 13 years living with diagnosed HIV infection at the end of the year. The denominator, total HIV prevalence, is the estimated number of persons aged ≥13 years living with HIV infection (diagnosed or undiagnosed) at the end of the year. Knowledge of status and prevalence data for the year 2021 are preliminary and based on death data reported to CDC as of December 2022. The following areas had incomplete reporting of deaths for the year 2021, and prevalence estimates should be interpreted with caution: Mississippi. Estimates for areas without laws requiring reporting of laboratory data, or with incomplete reporting of laboratory data to CDC, should also be interpreted with caution. Areas without laws: Idaho. Areas with incomplete reporting: New Jersey, Pennsylvania (excluding Philadelphia County), and Puerto Rico.
More information on calculating HIV prevalence and percentage of persons with diagnosed HIV infection can be found in the report Estimated HIV incidence and prevalence in the United States, 2017–2021 at https://www.cdc.gov/hiv/library/reports/hiv-surveillance.html.
Diagnoses of HIV Infection
Diagnoses of HIV infection are the numbers of persons aged ≥ 13 years with HIV diagnosed during 2017–2022 (Tables 3a–d). Data presented were reported (after the removal of personally identifiable information) to CDC.
An evaluation of surveillance data (2016–2020 diagnoses) found that, on average, approximately 80% of HIV diagnoses are reported to CDC during the year of diagnosis and approximately 98% of HIV diagnoses are reported to CDC by the end of the following year. Data for the year 2022 are considered preliminary until a 12-month reporting delay has been reached and should be interpreted with caution.
More information on counting diagnoses of HIV infection can be found in the HIV Surveillance Report, 2021 at https://www.cdc.gov/hiv/library/reports/hiv-surveillance.html.
Linkage to HIV Medical Care
Linkage to HIV medical care within 1 month of HIV diagnosis is measured for persons aged ≥ 13 years whose infection was diagnosed during January 2021 through September 2022 and who resided in any of the jurisdictions (including EHE Phase I jurisdictions) with complete reporting of laboratory data to CDC at the time of diagnosis (Tables 4a–c). The numerator is the number of persons aged ≥ 13 years whose HIV infection was diagnosed during January 2021 through September 2022 and who had ≥ 1 CD4 or viral load (VL) tests within 1 month of HIV diagnosis. The denominator is the number of persons aged ≥ 13 years whose HIV infection was diagnosed during January 2021 through September 2022. Reporting of linkage to HIV medical care data requires a minimum 3-month reporting delay to account for delays in reporting of laboratory results to NHSS; therefore, data on linkage to HIV medical care in these surveillance tables are for persons with HIV diagnosed during January 2021 through September 2022 and reported to NHSS through December 2022. Data are not provided for states and associated areas that do not have laws requiring reporting of all CD4 and viral loads or that have incomplete reporting of laboratory data to CDC. Areas without laws: Idaho. Areas with incomplete reporting: New Jersey, Pennsylvania (excluding Philadelphia County, and Puerto Rico.
More information on calculating linkage to care can be found at in the report Monitoring selected national HIV prevention and care objectives by using HIV surveillance data—United States and 6 dependent areas, 2021 at https://www.cdc.gov/hiv/library/reports/hiv-surveillance.html.
HIV Viral Suppression
Viral suppression at most recent test during 2021 is measured for persons aged ≥ 13 years who resided, as of their most recent known address during 2021, in any of the jurisdictions (including EHE Phase I jurisdictions) with complete reporting of laboratory data to CDC and who were alive at the end of 2021 (Tables 5a–c). The numerator is the number of persons aged ≥ 13 years with HIV infection diagnosed by the end of 2020 and who had a VL of < 200 copies/mL at the most recent test in 2021. The denominator is the number of persons aged ≥ 13 years with HIV diagnosed by the end of 2020 and who were alive at the end of 2021. Data used to calculate prevalence are based on deaths reported to CDC as of December 2022. The following areas had incomplete reporting of deaths for the year 2021, and viral suppression data should be interpreted with caution: Mississippi. Data are not provided for states and associated areas that do not have laws requiring reporting of all CD4 and viral loads or that have incomplete reporting of laboratory data to CDC. Areas without laws: Idaho. Areas with incomplete reporting: New Jersey, Pennsylvania (excluding Philadelphia County), and Puerto Rico.
More information on calculating viral suppression can be found in the report Monitoring selected national HIV prevention and care objectives by using HIV surveillance data—United States and 6 dependent areas, 2021 at https://www.cdc.gov/hiv/library/reports/hiv-surveillance.html.
Preexposure Prophylaxis (PrEP) Coverage
PrEP coverage, reported as a percentage, is defined as the number of persons aged ≥ 16 years classified as having been prescribed PrEP during the specified year divided by the estimated number of persons aged ≥ 16 years who had indications for PrEP during the specified year (Tables 6a–c). PrEP coverage is an EHE indicator that is not a reportable disease or condition and is not reported to NHSS. Multiple data sources, described below, are used to calculate PrEP coverage.
Please use caution when interpreting PrEP data. Different data sources were used in the numerator and denominator to calculate PrEP coverage.
Persons prescribed PrEP
National pharmacy data from the IQVIA Real World Data—Longitudinal Prescriptions database (hereafter, IQVIA database) are used to classify persons aged ≥ 16 years who have been prescribed PrEP in the specific year. The IQVIA database captures prescriptions from all payers and represents approximately 93% of all prescriptions from retail pharmacies and 77% from mail-order outlets in the United States. The database does not include prescriptions from some closed health care systems that do not make their prescription data available to IQVIA. Therefore, these are minimum estimates of PrEP coverage. The annual number of persons classified as having been prescribed PrEP was based on a validated algorithm that discerns whether tenofovir disoproxil fumarate and emtricitabine (TDF/FTC) was prescribed for PrEP after excluding prescriptions for HIV treatment, hepatitis B treatment, or HIV postexposure prophylaxis [10–12]. Tenofovir alafenamide and emtricitabine (TAF/FTC) was approved as an alternative drug for PrEP by the U.S. Food and Drug Administration (FDA) in October 2019. Long-acting injectable cabotegravir (CAB-LA) was approved by the FDA as an additional prevention option for PrEP in December 2021. TAF/FTC and injectable cabotegravir were included in the algorithm after their approval to classify the number of persons prescribed PrEP.
The number of persons classified as having been prescribed PrEP is reported by sex, age group, and race/ethnicity. Transmission category data are not available in the IQVIA database, and race/ethnicity data are available for < 40% of persons with PrEP prescriptions. Please use caution when interpreting PrEP data by race/ethnicity. Race/ethnicity categories available in the IQVIA database include White, Black/African American, Hispanic/Latino, and other. The number of persons prescribed PrEP for each racial/ethnic group presented in this report was extrapolated by applying the racial/ethnic distribution of known records to those for which data on race/ethnicity were unknown.
Geographic Designations
In the IQVIA database, a person’s location is reported as a 3-digit ZIP code prefix (hereafter, ZIP3) assigned by the U.S. Postal Service. To estimate the number of persons prescribed PrEP at the state or county level, a probability-based approach is used to crosswalk between ZIP3s and states/counties by using data from (a) the U.S. Census Bureau’s American Community Survey (ACS) 5-year estimates by ZIP Code Tabulation Areas (ZCTAs) [13], and (b) the U.S Department of Housing and Urban Development’s ZIP Code Crosswalk Files [14]. Because of reliability concerns, subnational estimates of < 40 are not included.
Persons with PrEP indications
U.S. Census Bureau files and their ACS were used to estimate the number of men who have sex with men (MSM) in a jurisdiction [15, 16]. Next, behavioral data from the National Health and Nutrition Examination Survey (NHANES) were used to estimate the proportion of HIV-negative MSM with indications for PrEP [17].
The number of HIV-negative MSM with indications for PrEP was multiplied by the ratio of percentage of diagnoses during the specified year attributed to other major transmission risk groups compared to the percentage among MSM in a given state or county. The estimated numbers of persons with indications for PrEP in the 3 major transmission risk groups (MSM, heterosexuals, persons who inject drugs) in each jurisdiction were then summed to yield a state- or county-specific estimate. State estimates were then summed for a national total of persons with indications for PrEP [15]. Jurisdictional estimates were rounded to the nearest 10.
The tables included in this report provide updated data on PrEP coverage for the years January 2017–September 2022 by using the IQVIA data reported through September 2022. IQVIA conducts data quality assurance activities. As a result, the number of persons classified as having been prescribed PrEP in a given year might change from time to time. The impact of the changes may vary by demographic category nationally and by jurisdiction. The data sources used to estimate the number of persons with indications for PrEP have different schedules of availability. Consequently, the availability of a denominator lags the availability of a numerator. PrEP coverage data with a lagged denominator are considered preliminary.
For this release of HIV Surveillance Data Tables, 2018 denominators were used for 2019, 2020, 2021, and 2022 PrEP coverage data; consequently, 2019 through September 2022 PrEP coverage data are considered preliminary. In addition to being preliminary, data for the year 2020 should be interpreted with awareness of the impact of the COVID-19 pandemic on filling PrEP prescriptions in state/local jurisdictions [18].
More information on calculating PrEP coverage can be found in the report Monitoring selected national HIV prevention and care objectives by using HIV surveillance data—United States and 6 dependent areas, 2021 at https://www.cdc.gov/hiv/library/reports/hiv-surveillance.html
References
- HHS. What is Ending the HIV Epidemic in the U.S.? https://www.hiv.gov/federal-response/ending-the-hiv-epidemic/overview. Updated July 2, 2022. Accessed March 13, 2023.
- CDC [Schuchat A, CDC COVID-19 Response Team]. Public health response to the initiation and spread of pandemic COVID-19 in the United States, February 24–April 21, 2020. MMWR 2020;69(18):551–556. doi:http://dx.doi.org/10.15585/mmwr.mm6918e2
- Delaney KP, Jayanthi P, Emerson B, et al. Impact of COVID-19 on commercial laboratory testing for HIV in the United States. 2021 CROI, March 6–10, 2021. Abstract 739.
- Moitra E, Tao J, Olsen J, et al. Impact of the COVID-19 pandemic on HIV testing rates across four geographically diverse urban centres in the United States: an observational study. Lancet Reg Health Am 2022;7:100159. doi:10.1016/j.lana.2021.100159
- Chang JJ, Chen Q, Hechter RC, Dionne-Odom J, Bruxvoort K. Changes in HIV and STI testing and diagnoses during the COVID-19 pandemic. 2022 CROI, February 12–16 and 22–24, 2022. Oral Abstract 142.
- DiNenno EA, Delaney KP, Pitasi MA, et al. HIV testing before and during the COVID-19 pandemic—United States, 2019–2020. MMWR 2022;71(25):820–824. doi:10.15585/mmwr.mm7125a2. PMID: 35737573
- Song R, Hall HI, Green TA, Szwarcwald CL, Pantazis N. Using CD4 data to estimate HIV incidence, prevalence, and percent of undiagnosed infections in the United States. J Acquir Immune Defic Syndr 2017;74(1):3–9. doi:10.1097/QAI.0000000000001151
- CDC. HIV Surveillance Report, 2020; vol. 33. http://www.cdc.gov/hiv/library/reports/hiv-surveillance.html. Published May 2022. Accessed March 13, 2023.
- Viguerie A, Song R, Johnson AS, Lyles CM, Hernandez A, Farnham PG. Isolating the effect of COVID-19–related disruptions on HIV diagnoses in the United States in 2020. J Acquir Immune Defic Syndr 2023;92(4):293–299. doi:10.1097/QAI.0000000000003140
- Wu H, Mendoza MC, Huang YA, Hayes T, Smith DK, Hoover KW. Uptake of HIV preexposure prophylaxis among commercially insured persons—United States, 2010–2014. Clin Infect Dis 2017;64(2):144–149. doi:10.1093/cid/ciw701
- CDC [Huang YA, Zhu W, Smith DK, Harris N, Hoover KW]. HIV preexposure prophylaxis, by race and ethnicity—United States, 2014–2016. MMWR 2018;67(41):1147–1150. doi:10.15585/mmwr.mm6741a3
- Furukawa NW, Smith DK, Gonzalez CJ, et al. Evaluation of algorithms used for PrEP surveillance using a reference population from New York City, July 2016–June 2018. Public Health Rep 2020;135(2):202–210. doi:10.1177/0033354920904085
- U.S. Census Bureau. American Community Survey 5-year data (2009–2021). https://www.census.gov/data/developers/data-sets/acs-5year.2019.html. Published December 2022. Accessed March 13, 2023.
- U.S. Department of Housing and Urban Development (HUD). HUD USPS ZIP code crosswalk files. https://www.huduser.gov/portal/datasets/usps_crosswalk.html. Updated August 2022. Accessed March 13, 2023.
- Grey JA, Bernstein KT, Sullivan PS, et al. Estimating the population sizes of men who have sex with men in US states and counties using data from the American Community Survey. JMIR Public Health Surveill 2016;2(1):e14. doi:10.2196/publichealth.5365
- Purcell DW, Johnson CH, Lansky A, et al. Estimating the population size of men who have sex with men in the United States to obtain HIV and syphilis rates. Open AIDS J 2012;6:98–107. doi:10.2174/1874613601206010098
- CDC [Smith DK, Van Handel M, Wolitski RJ, et al]. Vital Signs: Estimated percentages and numbers of adults with indications for preexposure prophylaxis to prevent HIV acquisition—United States, 2015. MMWR 2015;64(46):1291–1295. doi:10.15585/mmwr.mm6446a4
- Huang YA, Zhu W, Wiener J, Kourtis AP, Hall HI, Hoover KW. Impact of COVID-19 on HIV preexposure prophylaxis prescriptions in the United States—a time series analysis. Clin Infect Dis 2022:ciac038. doi:10.1093/cid/ciac038
Suggested Citation
Centers for Disease Control and Prevention. Core indicators for monitoring the Ending the HIV Epidemic initiative: National HIV Surveillance System data reported through December 2022; and preexposure prophylaxis (PrEP) data reported through September 2022. HIV Surveillance Data Tables 2022;3(4). https://www.cdc.gov/hiv/library/reports/surveillance-data-tables/. Published May 2023. Accessed [date].
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Acknowledgments
This issue of HIV Surveillance Data Tables was prepared by the following staff and contractors of the Division of HIV Prevention, National Center for HIV, Viral Hepatitis, STD, and TB Prevention, CDC: Anna Satcher Johnson, Zanetta Gant, Ya-lin Huang, Weiming Zhu, Ruiguang Song, Baohua Wu, Sue Reynolds, Jianmin Li, Xiaohong Hu, Pei Hou, Emily Zhu, Lei Yu, Avery Smithson, Wei Wei, Iddrisu Abdallah, Juliet Morales, Anna Baker, Andre Dailey, Shacara Johnson Lyons, Alex Viguerie, Norma Harris, Stacy Cohen, and Michael Friend (editing and desktop publishing).
The Web and Consumer Services Team of the Prevention Communications Branch are acknowledged for their contributions to the report website.
Publication of HIV Surveillance Data Tables was made possible by the contributions of the state and territorial health departments and the HIV surveillance programs that provided surveillance data to CDC.
2017 | 2018 | 2019 | 2020 (COVID-19 pandemic)a | 2021a | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
No. | RSE | 95% CI | No. | RSE | 95% CI | No. | RSE | 95% CI | No. | RSE | 95% CI | No. | RSE | 95% CI | |
Sex at birth | |||||||||||||||
Male | 29,700 | 2.1 | 28,500–30,900 | 29,400 | 2.4 | 28,000–30,800 | 28,500 | 2.8 | 26,900–30,000 | 27,700 | 3.4 | 25,900–29,600 | 25,900 | 4.0 | 23,900–27,900 |
Female | 6,800 | 4.1 | 6,200–7,300 | 6,700 | 4.7 | 6,100–7,300 | 6,400 | 5.4 | 5,700–7,000 | 5,900 | 6.6 | 5,100–6,700 | 6,200 | 6.9 | 5,400–7,000 |
Age at infection (yr) | |||||||||||||||
13–24 | 9,300 | 3.7 | 8,600–10,000 | 8,400 | 4.4 | 7,700–9,200 | 7,700 | 5.4 | 6,900–8,500 | 6,900 | 6.8 | 6,000–7,800 | 6,100 | 8.0 | 5,200–7,100 |
25–34 | 13,600 | 3.1 | 12,700–14,400 | 13,800 | 3.5 | 12,900–14,800 | 13,500 | 4.0 | 12,500–14,600 | 13,700 | 4.8 | 12,400–14,900 | 12,600 | 5.6 | 11,200–14,000 |
35–44 | 6,500 | 4.5 | 5,900–7,000 | 6,700 | 5.0 | 6,000–7,300 | 6,800 | 5.7 | 6,000–7,500 | 6,700 | 6.9 | 5,800–7,600 | 6,800 | 7.6 | 5,800–7,800 |
45–54 | 4,300 | 5.5 | 3,900–4,800 | 4,200 | 6.4 | 3,700–4,800 | 3,900 | 7.5 | 3,400–4,500 | 3,700 | 9.2 | 3,000–4,400 | 3,600 | 10.3 | 2,900–4,300 |
≥55 | 2,800 | 7.0 | 2,400–3,200 | 2,900 | 7.6 | 2,500–3,400 | 2,900 | 8.7 | 2,400–3,400 | 2,700 | 10.6 | 2,200–3,300 | 3,000 | 11.3 | 2,300–3,600 |
Race/ethnicity | |||||||||||||||
American Indian/Alaska Native | 190 | 26.3 | 90–290 | 180 | *31.2 | 70–280 | 210 | *32.7 | 70–340 | 230 | *35.9 | 70–390 | 190 | *45.8 | 20–360 |
Asian | 600 | 15.3 | 420–780 | 560 | 18.2 | 360–760 | 540 | 20.3 | 330–760 | 510 | 25.2 | 260–760 | 470 | 29.6 | 200–750 |
Black/African American | 15,100 | 2.9 | 14,300–16,000 | 15,000 | 3.3 | 14,000–15,900 | 14,400 | 3.8 | 13,300–15,400 | 13,900 | 4.7 | 12,600–15,200 | 13,000 | 5.4 | 11,600–14,300 |
Hispanic/Latinob | 10,100 | 3.8 | 9,400–10,900 | 10,100 | 4.3 | 9,200–10,900 | 9,600 | 5.1 | 8,600–10,600 | 9,100 | 6.3 | 8,000–10,200 | 9,300 | 6.9 | 8,100–10,600 |
Native Hawaiian/other Pacific Islander | 60 | *49.1 | 0–110 | … | … | … | … | … | … | … | … | … | … | … | … |
White | 9,000 | 3.7 | 8,400–9,700 | 9,000 | 4.2 | 8,200–9,700 | 8,800 | 4.8 | 8,000–9,600 | 8,800 | 5.6 | 7,800–9,700 | 8,200 | 6.5 | 7,100–9,200 |
Multiracial | 1,400 | 10.1 | 1,100–1,600 | 1,300 | 11.6 | 1,000–1,600 | 1,300 | 13.3 | 930–1,600 | 1,100 | 17.0 | 730–1,500 | 890 | 21.1 | 520–1,300 |
Transmission categoryc | |||||||||||||||
Male-to-male sexual contactd | 24,500 | 2.3 | 23,400–25,600 | 23,900 | 2.7 | 22,700–25,200 | 23,100 | 3.1 | 21,700–24,500 | 22,700 | 3.8 | 21,000–24,400 | 21,100 | 4.4 | 19,300–23,000 |
Injection drug usee | 2,400 | 6.6 | 2,100–2,700 | 2,600 | 7.6 | 2,200–3,000 | 2,600 | 8.6 | 2,200–3,000 | 2,600 | 10.9 | 2,000–3,100 | 2,500 | 12.4 | 1,900–3,100 |
Male | 1,300 | 9.7 | 1,100–1,600 | 1,500 | 10.3 | 1,200–1,800 | 1,400 | 12.4 | 1,100–1,800 | 1,500 | 14.7 | 1,100–2,000 | 1,400 | 17.6 | 930–1,900 |
Female | 1,100 | 8.9 | 930–1,300 | 1,100 | 10.6 | 910–1,400 | 1,200 | 11.6 | 890–1,400 | 1,000 | 15.6 | 700–1,300 | 1,100 | 17.3 | 710–1,400 |
Male-to-male sexual contactdd and injection drug usee | 1,400 | 8.8 | 1,200–1,600 | 1,500 | 9.2 | 1,200–1,800 | 1,500 | 10.4 | 1,200–1,800 | 1,400 | 13.2 | 1,000–1,700 | 1,300 | 15.2 | 890–1,600 |
Heterosexual contactf | 8,100 | 4.2 | 7,400–8,800 | 8,000 | 4.8 | 7,200–8,800 | 7,600 | 5.5 | 6,800–8,400 | 6,900 | 6.8 | 6,000–7,800 | 7,100 | 7.2 | 6,100–8,100 |
Male | 2,500 | 9.1 | 2,100–3,000 | 2,500 | 10.3 | 2,000–3,000 | 2,400 | 11.5 | 1,900–3,000 | 2,100 | 15.1 | 1,400–2,700 | 2,000 | 16.5 | 1,400–2,700 |
Female | 5,600 | 4.7 | 5,100–6,100 | 5,500 | 5.3 | 5,000–6,100 | 5,200 | 6.1 | 4,600–5,800 | 4,900 | 7.4 | 4,200–5,600 | 5,100 | 7.6 | 4,300–5,800 |
Region of residence | |||||||||||||||
Northeast | 5,100 | 5.1 | 4,600–5,600 | 5,000 | 5.8 | 4,400–5,500 | 4,700 | 6.9 | 4,100–5,300 | 4,600 | 8.4 | 3,800–5,300 | 4,400 | 9.4 | 3,600–5,200 |
Midwest | 4,900 | 5.1 | 4,400–5,300 | 4,800 | 5.8 | 4,300–5,300 | 4,500 | 6.9 | 3,900–5,200 | 4,700 | 8.1 | 3,900–5,400 | 4,400 | 9.2 | 3,600–5,200 |
South | 19,000 | 2.6 | 18,000–20,000 | 18,800 | 3.0 | 17,700–19,900 | 18,400 | 3.5 | 17,100–19,600 | 17,200 | 4.3 | 15,700–18,600 | 16,700 | 4.8 | 15,100–18,200 |
West | 7,500 | 4.2 | 6,900–8,100 | 7,600 | 4.7 | 6,900–8,300 | 7,200 | 5.5 | 6,500–8,000 | 7,200 | 6.6 | 6,300–8,200 | 6,600 | 7.7 | 5,600–7,600 |
Totalg | 36,500 | 1.9 | 35,100–37,800 | 36,100 | 2.2 | 34,600–37,700 | 34,800 | 2.5 | 33,100–36,600 | 33,600 | 3.1 | 31,600–35,700 | 32,100 | 3.5 | 29,900–34,300 |
Abbreviations: RSE, relative standard error; CI, confidence interval; CD4, CD4+ T-lymphocyte count (cells/μL) or percentage [footnotes only]; CDC, the Centers for Disease Control and Prevention [footnotes only].
Note. Estimates derived by using HIV surveillance data and CD4 data for persons aged ≥13 years at diagnosis.
Estimates rounded to the nearest 100 for estimates > 1,000 and to the nearest 10 for estimates ≤ 1,000 to reflect model uncertainty.
Estimates with an RSE 30%‒50%, preceded by an asterisk(*), should be used with caution.
Estimates with an RSE > 50% are not shown and are replaced with an ellipsis (…).
a Estimates for years 2020 and 2021 should be interpreted with caution due to adjustments made to the monthly distribution of reported diagnoses during those years to account for the impact of COVID-19 on HIV testing and diagnosis in the United States. See Technical Notes of Estimated HIV Incidence and Prevalence in the United States, 2017‒2021 for more information.
b Hispanic/Latino persons can be of any race.
c Transmission category is classified based on a hierarchy of the risk factors most likely responsible for HIV transmission; classification is determined based on the person’s assigned sex at birth. Data have been statistically adjusted to account for missing transmission category; therefore, values may not sum to column total.
d Includes individuals assigned male sex at birth, regardless of current gender identity, who have had sexual contact with other males, and individuals assigned male sex at birth who have had sexual contact with both males and females (i.e., bisexual contact).
e Includes persons who injected nonprescription drugs or who injected prescription drugs for nonmedical purposes. Also includes injection of drugs prescribed to persons if there is evidence that injection equipment was shared (e.g., syringes, needles, cookers).
f Heterosexual contact with a person known to have, or with a risk factor for, HIV infection.
g Includes persons with other risk factors, including hemophilia, blood transfusion, and risk factor not reported or not identified. Data not displayed because the numbers were too small to be meaningful.
2017 | 2018 | 2019 | 2020 (COVID-19 pandemic)a | 2021a | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Area of residence | No. | RSE | 95% CI | No. | RSE | 95% CI | No. | RSE | 95% CI | No. | RSE | 95% CI | No. | RSE | 95% CI |
Alabama | 620 | 13.9 | 450–790 | 570 | 16.7 | 390–760 | 540 | 19.9 | 330–750 | 590 | 21.3 | 340–830 | 670 | 22.3 | 380–970 |
Alaska | … | … | … | … | … | … | … | … | … | … | … | … | … | … | … |
Arizona | 800 | 13.0 | 590–1,000 | 820 | 14.9 | 580–1,100 | 760 | 18.1 | 490–1,000 | 720 | 22.9 | 390–1,000 | 780 | 24.0 | 410–1,200 |
Arkansas | 300 | 23.7 | 160–430 | 260 | 29.6 | 110–410 | 330 | 28.5 | 150–510 | 360 | *32.2 | 130–580 | 380 | *33.4 | 130–640 |
California | 4,600 | 5.2 | 4,200–5,100 | 4,700 | 5.9 | 4,100–5,200 | 4,300 | 7.1 | 3,700–4,900 | 4,300 | 8.3 | 3,600–5,000 | 4,000 | 9.8 | 3,200–4,700 |
Colorado | 440 | 17.1 | 290–580 | 400 | 21.0 | 230–560 | 460 | 21.9 | 260–650 | 370 | *30.3 | 150–590 | 490 | 28.6 | 210–760 |
Connecticut | 250 | 22.5 | 140–350 | 210 | 28.6 | 90–320 | 160 | *37.9 | 40–290 | 200 | *40.4 | 40–360 | 180 | *44.4 | 20–330 |
Delaware | 120 | *33.1 | 40–200 | 90 | *48.7 | 0–170 | … | … | … | … | … | … | … | … | … |
District of Columbia | 230 | 24.8 | 120–340 | 230 | 26.7 | 110–350 | 190 | *33.5 | 70–320 | 140 | *47.9 | 10–280 | 150 | *46.8 | 10–300 |
Florida | 4,400 | 5.3 | 3,900–4,800 | 4,100 | 6.3 | 3,600–4,700 | 3,900 | 7.4 | 3,400–4,500 | 3,800 | 9.0 | 3,100–4,500 | 3,700 | 9.9 | 3,000–4,400 |
Georgia | 2,600 | 7.4 | 2,200–3,000 | 2,500 | 8.7 | 2,100–3,000 | 2,400 | 10.3 | 1,900–2,900 | 2,300 | 12.9 | 1,700–2,900 | 2,300 | 14.1 | 1,700–2,900 |
Hawaii | 80 | *41.5 | 10–150 | … | … | … | … | … | … | … | … | … | … | … | … |
Idahob | … | … | … | … | … | … | … | … | … | … | … | … | … | … | … |
Illinois | 1,300 | 9.8 | 1,000–1,500 | 1,300 | 11.1 | 1,000–1,600 | 1,200 | 13.6 | 850–1,500 | 1,100 | 16.5 | 780–1,500 | 1,100 | 18.8 | 680–1,500 |
Indiana | 510 | 16.0 | 350–670 | 550 | 17.4 | 360–740 | 500 | 21.5 | 290–710 | 630 | 22.4 | 350–900 | 540 | 26.4 | 260–810 |
Iowa | 100 | *36.8 | 30–180 | 120 | *37.7 | 30–210 | 140 | *39.2 | 30–250 | … | … | … | … | … | … |
Kansas | 90 | *43.0 | 10–170 | 120 | *40.8 | 20–210 | 190 | *33.4 | 60–310 | 160 | *43.7 | 20–300 | … | … | … |
Kentucky | 330 | 19.9 | 200–460 | 440 | 18.9 | 270–600 | 380 | 24.3 | 200–560 | 390 | 29.3 | 170–620 | 420 | *31.7 | 160–680 |
Louisiana | 920 | 12.0 | 700–1,100 | 950 | 13.3 | 700–1,200 | 840 | 16.8 | 560–1,100 | 880 | 19.6 | 540–1,200 | 760 | 23.1 | 420–1,100 |
Maine | … | … | … | … | … | … | … | … | … | … | … | … | … | … | … |
Maryland | 770 | 13.4 | 570–970 | 840 | 13.8 | 610–1,100 | 730 | 16.9 | 490–970 | 680 | 20.3 | 410–940 | 630 | 23.3 | 340–910 |
Massachusetts | 500 | 15.1 | 350–650 | 590 | 15.0 | 420–760 | 460 | 19.8 | 280–640 | 350 | 26.6 | 170–530 | 370 | 28.6 | 160–570 |
Michigan | 660 | 13.7 | 480–840 | 640 | 15.7 | 440–840 | 600 | 18.7 | 380–820 | 630 | 21.6 | 360–890 | 590 | 24.7 | 310–880 |
Minnesota | 250 | 22.6 | 140–360 | 310 | 22.7 | 170–450 | 270 | 27.8 | 120–420 | 240 | *34.9 | 80–410 | 230 | *39.9 | 50–420 |
Mississippi | 420 | 18.6 | 270–580 | 440 | 21.2 | 260–630 | 470 | 23.9 | 250–690 | 460 | 28.9 | 200–720 | 420 | *36.4 | 120–730 |
Missouri | 540 | 13.4 | 400–690 | 480 | 16.8 | 320–640 | 460 | 19.2 | 290–630 | 440 | 24.6 | 230–660 | 470 | 24.2 | 250–700 |
Montana | … | … | … | … | … | … | … | … | … | … | … | … | … | … | … |
Nebraska | 110 | *35.2 | 30–180 | … | … | … | … | … | … | … | … | … | … | … | … |
Nevada | 530 | 16.1 | 370–700 | 590 | 17.7 | 380–790 | 590 | 21.0 | 350–830 | 610 | 25.3 | 300–910 | 520 | *31.3 | 200–840 |
New Hampshire | … | … | … | … | … | … | … | … | … | … | … | … | … | … | … |
New Jerseyb | 1,100 | 12.2 | 820–1,300 | 920 | 15.2 | 650–1,200 | 1,000 | 16.0 | 680–1,300 | 970 | 20.3 | 580–1,400 | 1,100 | 18.9 | 670–1,500 |
New Mexico | 140 | 26.3 | 70–210 | 190 | 25.6 | 90–280 | 160 | *32.1 | 60–270 | 140 | *43.0 | 20–260 | 130 | *48.8 | 10–260 |
New York | 2,200 | 7.6 | 1,900–2,600 | 2,000 | 9.1 | 1,700–2,400 | 1,900 | 10.6 | 1,500–2,300 | 1,900 | 12.4 | 1,400–2,400 | 1,700 | 14.5 | 1,200–2,200 |
North Carolina | 1,300 | 9.5 | 1,000–1,500 | 1,200 | 11.0 | 970–1,500 | 1,400 | 11.5 | 1,100–1,700 | 1,200 | 15.5 | 800–1,500 | 1,100 | 17.3 | 700–1,400 |
North Dakota | … | … | … | … | … | … | … | … | … | … | … | … | … | … | … |
Ohio | 920 | 11.7 | 710–1,100 | 890 | 13.6 | 660–1,100 | 860 | 15.8 | 590–1,100 | 810 | 18.7 | 510–1,100 | 850 | 20.8 | 500–1,200 |
Oklahoma | 340 | 18.9 | 220–470 | 340 | 22.3 | 190–480 | 430 | 21.9 | 250–620 | 390 | 28.4 | 170–610 | 370 | *33.5 | 130–610 |
Oregon | 190 | 26.1 | 90–290 | 170 | *31.4 | 70–280 | 190 | *33.2 | 70–320 | 210 | *38.8 | 50–370 | 230 | *42.6 | 40–420 |
Pennsylvaniab | 980 | 12.9 | 740–1,200 | 1,000 | 13.3 | 760–1,300 | 860 | 15.8 | 600–1,100 | 850 | 18.8 | 540–1,200 | 650 | 23.8 | 350–950 |
Puerto Ricob | 410 | 18.6 | 260–560 | 350 | 22.4 | 200–510 | 320 | 26.7 | 150–490 | 280 | *33.6 | 100–470 | 280 | *35.4 | 90–470 |
Rhode Island | 80 | *34.5 | 30–140 | 60 | *47.7 | 0–120 | … | … | … | … | … | … | … | … | … |
South Carolina | 690 | 15.0 | 480–890 | 700 | 17.2 | 460–930 | 670 | 20.2 | 400–930 | 630 | 23.7 | 340–920 | 650 | 27.5 | 300–1,000 |
South Dakota | … | … | … | … | … | … | … | … | … | … | … | … | … | … | … |
Tennessee | 750 | 12.0 | 570–930 | 740 | 13.8 | 540–940 | 800 | 14.5 | 570–1,000 | 700 | 19.1 | 440–960 | 720 | 20.2 | 430–1,000 |
Texas | 4,400 | 5.5 | 3,900–4,800 | 4,500 | 6.2 | 3,900–5,000 | 4,500 | 7.0 | 3,900–5,100 | 4,200 | 8.8 | 3,500–5,000 | 4,000 | 10.0 | 3,300–4,800 |
Utah | 130 | *34.1 | 40–220 | 140 | *37.1 | 40–240 | 140 | *42.0 | 30–260 | … | … | … | … | … | … |
Vermont | … | … | … | … | … | … | … | … | … | … | … | … | … | … | … |
Virginia | 850 | 12.8 | 630–1,100 | 820 | 14.9 | 580–1,100 | 800 | 17.1 | 530–1,100 | 720 | 21.3 | 420–1,000 | 640 | 24.4 | 330–950 |
Washington | 450 | 17.1 | 300–600 | 540 | 17.5 | 360–730 | 510 | 21.0 | 300–720 | 450 | 27.2 | 210–690 | 470 | *30.2 | 190–750 |
West Virginia | 110 | *37.7 | 30–200 | 170 | *35.4 | 50–300 | 260 | *34.1 | 90–430 | … | … | … | … | … | … |
Wisconsin | 250 | 23.1 | 130–360 | 210 | 29.5 | 90–330 | 220 | *33.1 | 80–360 | 300 | *31.9 | 110–490 | 230 | *41.5 | 40–430 |
Wyoming | … | … | … | … | … | … | … | … | … | … | … | … | … | … | … |
Abbreviations: RSE, relative standard error; CI, confidence interval; CD4, CD4+ T-lymphocyte count (cells/μL) or percentage [footnotes only]; CDC, the Centers for Disease Control and Prevention [footnotes only].
Note. Estimates derived by using HIV surveillance data and CD4 data for persons aged ≥ 13 years at diagnosis.
Estimates rounded to the nearest 100 for estimates > 1,000 and to the nearest 10 for estimates ≤ 1,000 to reflect model uncertainty.
Estimates with an RSE 30%‒50%, preceded by an asterisk(*), should be used with caution.
Estimates with an RSE > 50% are not shown and are replaced with an ellipsis (…).
a Estimates for years 2020 and 2021 should be interpreted with caution due to adjustments made to the monthly distribution of reported diagnoses during those years to account for the impact of COVID-19 on HIV testing and diagnosis in the United States. See Technical Notes of Estimated HIV Incidence and Prevalence in the United States, 2017‒2021 for more information.
b Estimates should be interpreted with caution because the jurisdiction does not have laws requiring complete reporting of laboratory data or has incomplete reporting. Areas without laws: Idaho. Areas with incomplete reporting: New Jersey, Pennsylvania (excluding Philadelphia), and Puerto Rico.
2017 | 2018 | 2019 | 2020 (COVID-19 pandemic)a | 2021a | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Area of residence | No. | RSE | 95% CI | No. | RSE | 95% CI | No. | RSE | 95% CI | No. | RSE | 95% CI | No. | RSE | 95% CI |
Arizona | |||||||||||||||
Maricopa County | 570 | 15.7 | 390–740 | 550 | 18.5 | 350–750 | 510 | 22.2 | 290–730 | 470 | 28.9 | 200–740 | 460 | *31.9 | 170–750 |
California | |||||||||||||||
Alameda County | 190 | 25.7 | 90–280 | 190 | 28.5 | 80–300 | 200 | *31.9 | 80–330 | 150 | *42.5 | 30–280 | 170 | *45.5 | 20–320 |
Los Angeles County | 1,500 | 9.0 | 1,200–1,800 | 1,500 | 10.3 | 1,200–1,800 | 1,400 | 12.1 | 1,100–1,700 | 1,400 | 14.2 | 980–1,700 | 1,200 | 17.1 | 790–1,600 |
Orange County | 290 | 20.5 | 170–410 | 280 | 23.6 | 150–410 | 230 | 29.8 | 90–360 | 280 | *31.5 | 110–450 | 230 | *38.7 | 60–410 |
Riverside County | 270 | 21.5 | 150–380 | 290 | 23.4 | 150–420 | 260 | 27.8 | 120–410 | 280 | *31.3 | 110–450 | 240 | *37.9 | 60–430 |
Sacramento County | 220 | 23.6 | 120–320 | 220 | 26.8 | 100–330 | 210 | *31.4 | 80–330 | 180 | *39.2 | 40–320 | … | … | … |
San Bernardino County | 270 | 21.1 | 160–390 | 260 | 24.5 | 140–390 | 310 | 25.5 | 160–470 | 310 | 29.8 | 130–490 | 280 | *35.5 | 80–470 |
San Diego County | 430 | 16.8 | 290–580 | 420 | 19.1 | 270–580 | 420 | 22.1 | 240–600 | 370 | 27.2 | 170–570 | 410 | 29.3 | 170–640 |
San Francisco County | 170 | 26.8 | 80–260 | 160 | *31.5 | 60–260 | 120 | *41.7 | 20–210 | 120 | *47.0 | 10–240 | 140 | *49.9 | 0–280 |
District of Columbia | 230 | 24.8 | 120–340 | 230 | 26.7 | 110–350 | 190 | *33.5 | 70–320 | 140 | *47.9 | 10–280 | 150 | *46.8 | 10–300 |
Florida | |||||||||||||||
Broward County | 650 | 13.4 | 480–820 | 530 | 17.1 | 350–700 | 540 | 19.0 | 340–750 | 510 | 23.7 | 270–740 | 500 | 26.2 | 240–760 |
Duval County | 270 | 20.8 | 160–380 | 240 | 25.0 | 120–370 | 220 | *30.1 | 90–350 | 280 | *32.0 | 100–450 | 230 | *38.9 | 50–400 |
Hillsborough County | 300 | 19.8 | 180–410 | 270 | 23.8 | 140–400 | 240 | 28.7 | 100–370 | 290 | *31.3 | 110–470 | 180 | *44.2 | 20–330 |
Miami-Dade County | 1,100 | 10.1 | 910–1,400 | 1,100 | 12.1 | 800–1,300 | 980 | 14.2 | 700–1,200 | 850 | 18.3 | 550–1,200 | 870 | 19.8 | 530–1,200 |
Orange County | 430 | 16.5 | 290–560 | 410 | 19.5 | 250–560 | 450 | 20.9 | 270–640 | 440 | 25.5 | 220–670 | 460 | 27.4 | 210–700 |
Palm Beach County | 260 | 21.2 | 150–360 | 260 | 24.5 | 130–380 | 240 | 28.7 | 100–370 | 300 | *30.8 | 120–480 | 230 | *38.3 | 60–410 |
Pinellas County | 160 | 26.6 | 80–250 | 140 | *33.4 | 50–230 | 150 | *36.6 | 40–250 | 160 | *42.3 | 30–290 | … | … | … |
Georgia | |||||||||||||||
Cobb County | 190 | 26.1 | 90–280 | 160 | *33.0 | 60–260 | 190 | *34.7 | 60–320 | 170 | *45.1 | 20–330 | … | … | … |
DeKalb County | 360 | 18.8 | 230–490 | 390 | 20.9 | 230–560 | 320 | 26.7 | 150–490 | 290 | *34.5 | 100–490 | 320 | *37.1 | 90–550 |
Fulton County | 590 | 14.7 | 420–760 | 620 | 16.8 | 410–820 | 530 | 21.0 | 310–750 | 590 | 24.5 | 300–870 | 530 | 28.7 | 230–830 |
Gwinnett County | 160 | 27.9 | 70–250 | 150 | *34.3 | 50–250 | 190 | *34.4 | 60–330 | … | … | … | … | … | … |
Illinois | |||||||||||||||
Cook County | 910 | 11.3 | 710–1,100 | 890 | 13.1 | 660–1,100 | 810 | 15.9 | 560–1,100 | 830 | 18.8 | 520–1,100 | 780 | 21.4 | 450–1,100 |
Indiana | |||||||||||||||
Marion County | 220 | 22.2 | 130–320 | 220 | 25.0 | 110–330 | 230 | 28.5 | 100–360 | 240 | *33.4 | 80–400 | 210 | *39.7 | 50–370 |
Louisiana | |||||||||||||||
East Baton Rouge Parish | 170 | 26.3 | 80–250 | 180 | 28.5 | 80–280 | 160 | *34.2 | 50–280 | 120 | *49.2 | 0–240 | … | … | … |
Orleans Parish | 150 | 27.9 | 70–230 | 150 | *30.6 | 60–240 | 130 | *38.4 | 30–230 | … | … | … | … | … | … |
Maryland | |||||||||||||||
Baltimore City | 200 | 26.9 | 90–300 | 210 | 27.2 | 100–330 | 130 | *40.4 | 30–240 | 180 | *40.4 | 40–310 | 150 | *48.0 | 10–280 |
Montgomery County | 100 | *37.8 | 30–170 | 90 | *41.1 | 20–170 | 100 | *47.6 | 10–180 | … | … | … | … | … | …–… |
Prince George’s County | 200 | 26.3 | 100–310 | 260 | 24.8 | 130–380 | 230 | *30.3 | 90–370 | 170 | *41.6 | 30–300 | 200 | *41.1 | 40–360 |
Massachusetts | |||||||||||||||
Suffolk County | 120 | 26.0 | 60–180 | 120 | 27.5 | 60–190 | 120 | *31.1 | 50–190 | 120 | *33.9 | 40–200 | 120 | *38.7 | 30–210 |
Michigan | |||||||||||||||
Wayne County | 280 | 20.1 | 170–390 | 270 | 23.8 | 140–390 | 280 | 25.8 | 140–420 | 270 | *31.1 | 110–440 | 220 | *39.7 | 50–390 |
Nevada | |||||||||||||||
Clark County | 480 | 16.3 | 330–630 | 520 | 18.3 | 330–700 | 490 | 22.4 | 270–700 | 530 | 25.7 | 260–800 | 460 | *32.2 | 170–740 |
New Jersey | |||||||||||||||
Essex Countyb | 310 | 21.4 | 180–440 | 220 | 29.9 | 90–340 | 200 | *35.9 | 60–330 | 230 | *38.6 | 60–400 | 270 | *34.3 | 90–450 |
Hudson Countyb | 160 | 29.7 | 70–250 | 150 | *35.7 | 50–260 | 110 | *48.0 | 10–210 | 140 | *48.7 | 10–280 | 130 | *49.0 | 0–260 |
New York | |||||||||||||||
Bronx County | 400 | 17.2 | 270–540 | 390 | 19.4 | 240–540 | 370 | 23.1 | 200–540 | 390 | 26.0 | 190–580 | 380 | 29.1 | 160–600 |
Kings County | 470 | 15.8 | 330–620 | 450 | 18.4 | 290–610 | 400 | 22.2 | 230–580 | 380 | 26.2 | 180–570 | 360 | *30.0 | 150–570 |
New York County | 350 | 18.4 | 220–470 | 310 | 22.1 | 170–440 | 270 | 26.8 | 130–420 | 300 | 29.4 | 130–470 | 260 | *35.1 | 80–440 |
Queens County | 330 | 18.7 | 210–460 | 320 | 21.5 | 190–460 | 250 | 28.2 | 110–390 | 290 | *30.0 | 120–460 | 270 | *34.7 | 80–450 |
North Carolina | |||||||||||||||
Mecklenburg County | 290 | 18.7 | 180–390 | 240 | 23.6 | 130–350 | 290 | 23.2 | 160–420 | 250 | *31.2 | 100–400 | 190 | *37.9 | 50–330 |
Ohio | |||||||||||||||
Cuyahoga County | 130 | *30.4 | 50–210 | 130 | *33.7 | 40–220 | 130 | *38.9 | 30–230 | 160 | *38.6 | 40–290 | 160 | *46.8 | 10–300 |
Franklin County | 190 | 25.0 | 100–280 | 200 | 27.5 | 90–310 | 210 | *30.7 | 80–330 | 180 | *37.1 | 50–310 | 150 | *47.3 | 10–300 |
Hamilton County | 150 | 27.9 | 70–230 | 140 | *32.9 | 50–230 | 130 | *39.3 | 30–220 | 120 | *44.7 | 10–230 | … | … | … |
Pennsylvania | |||||||||||||||
Philadelphia County | 390 | 16.1 | 270–520 | 410 | 17.4 | 270–550 | 410 | 19.4 | 250–560 | 280 | *30.7 | 110–440 | 290 | *31.3 | 110–470 |
Puerto Rico | |||||||||||||||
San Juan Municipiob | 100 | *35.2 | 30–170 | 70 | *48.4 | 0–130 | 80 | *47.1 | 10–150 | … | … | … | … | … | … |
Tennessee | |||||||||||||||
Shelby County | 240 | 20.0 | 150–340 | 250 | 21.9 | 140–360 | 280 | 23.3 | 150–400 | 210 | *32.6 | 80–350 | 220 | *33.6 | 80–370 |
Texas | |||||||||||||||
Bexar County | 300 | 20.2 | 180–420 | 320 | 22.5 | 180–460 | 370 | 23.9 | 200–540 | 380 | 28.5 | 170–600 | 310 | *35.2 | 90–520 |
Dallas County | 830 | 12.3 | 630–1,000 | 820 | 14.1 | 600–1,100 | 650 | 17.9 | 420–880 | 730 | 20.5 | 440–1,000 | 750 | 22.5 | 420–1,100 |
Harris County | 1,100 | 10.4 | 910–1,400 | 1,100 | 12.0 | 860–1,400 | 1,200 | 13.5 | 850–1,500 | 1,100 | 16.9 | 730–1,400 | 1,000 | 19.0 | 660–1,400 |
Tarrant County | 300 | 20.6 | 180–420 | 280 | 23.8 | 150–420 | 380 | 23.5 | 210–560 | 29.2 | 150 | 570–320 | 320 | *34.6 | 100–530 |
Travis County | 210 | 24.7 | 110–310 | 240 | 26.0 | 120–360 | 180 | *34.4 | 60–300 | *42.7 | 30 | 310–190 | 190 | *45.1 | 20–350 |
Washington | |||||||||||||||
King County | 210 | 25.8 | 100–310 | 260 | 25.0 | 130–390 | 220 | *33.2 | 80–360 | *39.6 | 50 | 370–200 | 200 | *46.3 | 20–390 |
Abbreviations: RSE, relative standard error; CI, confidence interval; CD4, CD4+ T-lymphocyte count (cells/μL) or percentage [footnotes only]; CDC, the Centers for Disease Control and Prevention [footnotes only].
Note. Estimates derived by using HIV surveillance data and CD4 data for persons aged ≥ 13 years at diagnosis.
Estimates rounded to the nearest 100 for estimates > 1,000 and to the nearest 10 for estimates ≤ 1,000 to reflect model uncertainty.
Estimates with an RSE 30%‒50%, preceded by an asterisk(*), should be used with caution.
Estimates with an RSE > 50% are not shown and are replaced with an ellipsis (…).
a Estimates for years 2020 and 2021 should be interpreted with caution due to adjustments made to the monthly distribution of reported diagnoses during those years to account for the impact of COVID-19 on HIV testing and diagnosis in the United States. See Technical Notes of Estimated HIV Incidence and Prevalence in the United States, 2017‒2021 for more information.
b Estimates should be interpreted with caution because the jurisdiction does not have laws requiring complete reporting of laboratory data or has incomplete reporting. Areas without laws: Idaho. Areas with incomplete reporting: New Jersey, Pennsylvania (excluding Philadelphia), and Puerto Rico.
2017 | 2018 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Persons living with diagnosed or undiagnosed HIV infection | Persons living with diagnosed HIV infection | Persons living with diagnosed or undiagnosed HIV infection | Persons living with diagnosed HIV infection | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
No. | RSE | 95% CI | No.b | % | RSE | 95% CI | No. | RSE | 95% CI | No.b | % | RSE | 95% CI | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Sex at birth | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Male | 886,200 | 0.3 | 880,100–892,200 | 753,766 | 85.1 | 0.4 | 84.5–85.6 | 904,500 | 0.4 | 898,300–910,800 | 772,969 | 85.5 | 0.4 | 84.9–86.1 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Female | 256,600 | 0.6 | 253,500–259,600 | 228,901 | 89.2 | 0.6 | 88.2–90.3 | 259,800 | 0.6 | 256,700–263,000 | 232,542 | 89.5 | 0.6 | 88.4–90.6 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Age (yr) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
13–24 | 65,200 | 1.0 | 63,900–66,500 | 27,742 | 42.6 | 1.0 | 41.7–43.4 | 59,200 | 1.2 | 57,800–60,600 | 26,607 | 45.0 | 1.2 | 43.9–46.0 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
25–34 | 203,900 | 0.5 | 201,900–206,000 | 148,377 | 72.8 | 0.5 | 72.0–73.5 | 211,200 | 0.5 | 209,000–213,500 | 153,232 | 72.5 | 0.5 | 71.8–73.3 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
35–44 | 216,800 | 0.4 | 214,900–218,600 | 186,686 | 86.1 | 0.4 | 85.4–86.9 | 220,200 | 0.5 | 218,300–222,200 | 189,167 | 85.9 | 0.5 | 85.1–86.7 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
45–54 | 313,600 | 0.3 | 311,400–315,700 | 291,493 | 93.0 | 0.3 | 92.3–93.6 | 301,000 | 0.4 | 298,800–303,100 | 279,604 | 92.9 | 0.4 | 92.2–93.6 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
≥ 55 | 343,200 | 0.4 | 340,400–346,100 | 328,369 | 95.7 | 0.4 | 94.9–96.5 | 372,800 | 0.4 | 369,800–375,800 | 356,901 | 95.7 | 0.4 | 95.0–96.5 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Race/ethnicity | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
American Indian/Alaska Native | 3,500 | 5.6 | 3,100–3,900 | 2,730 | 77.3 | 5.6 | 69.7–86.7 | 3,700 | 5.6 | 3,300–4,100 | 2,853 | 77.9 | 5.7 | 70.2–87.5 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Asianc | 16,500 | 2.3 | 15,800–17,300 | 13,516 | 81.8 | 2.3 | 78.3–85.7 | 17,100 | 2.3 | 16,300–17,900 | 14,375 | 84.1 | 2.3 | 80.5–88.1 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Black/African American | 461,000 | 0.5 | 456,700–465,400 | 395,740 | 85.8 | 0.5 | 85.0–86.7 | 469,600 | 0.5 | 465,100–474,100 | 404,951 | 86.2 | 0.5 | 85.4–87.1 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Hispanic/Latinod | 268,800 | 0.6 | 265,700–272,000 | 223,165 | 83.0 | 0.6 | 82.0–84.0 | 277,000 | 0.6 | 273,700–280,200 | 231,101 | 83.4 | 0.6 | 82.5–84.4 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Native Hawaiian/other Pacific Islander | 990 | 9.9 | 800–1,200 | 739 | 74.4 | 10.3 | 62.3–92.3 | 1,000 | 10.1 | 830–1,200 | 784 | 75.8 | 10.5 | 63.3–94.4 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
White | 329,600 | 0.6 | 325,700–333,400 | 291,194 | 88.4 | 0.6 | 87.3–89.4 | 333,600 | 0.6 | 329,600–337,500 | 295,534 | 88.6 | 0.6 | 87.6–89.7 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Multiracial | 61,600 | 1.2 | 60,200–63,000 | 54,920 | 89.2 | 1.2 | 87.2–91.3 | 61,800 | 1.2 | 60,400–63,300 | 55,250 | 89.4 | 1.2 | 87.3–91.5 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transmission categorye | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Male-to-male sexual contactf | 655,100 | 0.4 | 650,000–660,200 | 549,064 | 83.8 | 0.4 | 83.2–84.5 | 673,000 | 0.4 | 667,700–678,200 | 567,472 | 84.3 | 0.4 | 83.7–85.0 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Injection drug useg | 125,900 | 1.1 | 123,300–128,500 | 116,784 | 92.8 | 1.1 | 90.9–94.7 | 125,200 | 1.1 | 122,500–127,800 | 115,950 | 92.6 | 1.1 | 90.7–94.6 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Male | 73,200 | 1.5 | 71,100–75,300 | 67,774 | 92.6 | 1.5 | 90.1–95.3 | 72,600 | 1.5 | 70,500–74,700 | 67,101 | 92.4 | 1.5 | 89.8–95.2 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Female | 52,700 | 1.5 | 51,200–54,200 | 49,011 | 93.0 | 1.5 | 90.4–95.8 | 52,600 | 1.5 | 51,000–54,100 | 48,850 | 92.9 | 1.5 | 90.2–95.8 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Male-to-male sexual contactf and injection drug useg | 63,400 | 1.3 | 61,800–65,000 | 58,001 | 91.5 | 1.3 | 89.2–93.9 | 63,500 | 1.3 | 61,900–65,200 | 58,116 | 91.5 | 1.3 | 89.2–93.9 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Heterosexual contacth | 294,500 | 0.6 | 291,200–297,700 | 255,234 | 86.7 | 0.6 | 85.7–87.7 | 298,900 | 0.6 | 295,500–302,200 | 260,362 | 87.1 | 0.6 | 86.1–88.1 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Male | 92,200 | 1.1 | 90,300–94,200 | 76,847 | 83.3 | 1.1 | 81.6–85.1 | 93,200 | 1.1 | 91,200–95,300 | 78,210 | 83.9 | 1.1 | 82.1–85.8 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Female | 202,200 | 0.7 | 199,600–204,800 | 178,387 | 88.2 | 0.7 | 87.1–89.4 | 205,600 | 0.7 | 202,900–208,300 | 182,152 | 88.6 | 0.7 | 87.4–89.8 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Region of residence | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Northeast | 248,600 | 0.7 | 245,300–251,800 | 226,712 | 91.2 | 0.7 | 90.0–92.4 | 250,000 | 0.7 | 246,700–253,400 | 228,784 | 91.5 | 0.7 | 90.3–92.7 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Midwest | 139,100 | 0.9 | 136,800–141,500 | 117,129 | 84.2 | 0.9 | 82.8–85.6 | 142,000 | 0.9 | 139,600–144,400 | 120,165 | 84.6 | 0.9 | 83.2–86.1 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
South | 527,000 | 0.4 | 522,500–531,600 | 443,937 | 84.2 | 0.4 | 83.5–85.0 | 538,900 | 0.4 | 534,200–543,600 | 456,294 | 84.7 | 0.4 | 83.9–85.4 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
West | 228,000 | 0.7 | 225,000–231,000 | 194,889 | 85.5 | 0.7 | 84.4–86.6 | 233,400 | 0.7 | 230,300–236,500 | 200,268 | 85.8 | 0.7 | 84.7–87.0 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Totali | 1,142,700 | 0.3 | 1,135,900–1,149,500 | 982,667 | 86.0 | 0.3 | 85.5–86.5 | 1,164,400 | 0.3 | 1,157,400–1,171,400 | 1,005,511 | 86.4 | 0.3 | 85.8–86.9 |
2019 | 2020 (COVID-19 pandemic)a | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Persons living with diagnosed or undiagnosed HIV infection | Persons living with diagnosed HIV infection | Persons living with diagnosed or undiagnosed HIV infection | Persons living with diagnosed HIV infection | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
No. | RSE | 95% CI | No.b | % | RSE | 95% CI | No. | RSE | 95% CI | No.b | % | RSE | 95% CI | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Sex at birth | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Male | 921,900 | 0.4 | 915,400–928,400 | 791,399 | 85.8 | 0.4 | 85.2–86.5 | 932,300 | 0.4 | 925,600–939,100 | 802,910 | 86.1 | 0.4 | 85.5–86.7 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Female | 262,900 | 0.6 | 259,700–266,100 | 236,166 | 89.8 | 0.6 | 88.7–90.9 | 263,600 | 0.6 | 260,300–267,000 | 237,346 | 90.0 | 0.6 | 88.9–91.2 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Age (yr) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
13–24 | 53,500 | 1.4 | 52,000–55,000 | 25,934 | 48.5 | 1.4 | 47.2–49.9 | 46,900 | 1.7 | 45,300–48,500 | 24,027 | 51.3 | 1.8 | 49.6–53.1 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
25–34 | 216,200 | 0.6 | 213,800–218,700 | 156,651 | 72.4 | 0.6 | 71.6–73.3 | 217,100 | 0.7 | 214,300–219,900 | 156,512 | 72.1 | 0.7 | 71.2–73.0 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
35–44 | 225,100 | 0.5 | 223,000–227,200 | 192,529 | 85.5 | 0.5 | 84.7–86.4 | 230,200 | 0.5 | 227,900–232,600 | 195,916 | 85.1 | 0.5 | 84.2–86.0 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
45–54 | 287,400 | 0.4 | 285,300–289,600 | 266,664 | 92.8 | 0.4 | 92.1–93.5 | 273,800 | 0.4 | 271,600–276,000 | 253,579 | 92.6 | 0.4 | 91.9–93.4 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
≥ 55 | 402,600 | 0.4 | 399,500–405,700 | 385,787 | 95.8 | 0.4 | 95.1–96.6 | 428,000 | 0.4 | 424,700–431,200 | 410,222 | 95.9 | 0.4 | 95.1–96.6 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Race/ethnicity | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
American Indian/Alaska Native | 3,800 | 5.7 | 3,400–4,200 | 2,990 | 78.4 | 5.8 | 70.6–88.2 | 3,900 | 5.9 | 3,500–4,400 | 3,099 | 78.8 | 6.0 | 70.6–89.1 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Asianc | 17,700 | 2.3 | 16,900–18,500 | 15,118 | 85.6 | 2.3 | 81.9–89.7 | 18,100 | 2.4 | 17,200–18,900 | 15,721 | 87.1 | 2.4 | 83.2–91.3 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Black/African American | 477,600 | 0.5 | 473,000–482,200 | 413,920 | 86.7 | 0.5 | 85.8–87.5 | 481,700 | 0.5 | 476,900–486,500 | 418,714 | 86.9 | 0.5 | 86.1–87.8 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Hispanic/Latinod | 284,700 | 0.6 | 281,200–288,100 | 239,069 | 84.0 | 0.6 | 83.0–85.0 | 289,500 | 0.6 | 285,900–293,200 | 244,303 | 84.4 | 0.6 | 83.3–85.5 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Native Hawaiian/other Pacific Islander | 1,100 | 10.2 | 850–1,300 | 830 | 78.0 | 10.7 | 64.9–97.6 | 1,100 | 10.7 | 880–1,300 | 882 | 79.8 | 10.9 | 66.0–100 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
White | 337,300 | 0.6 | 333,300–341,300 | 299,443 | 88.8 | 0.6 | 87.7–89.8 | 339,300 | 0.6 | 335,100–343,400 | 301,619 | 88.9 | 0.6 | 87.8–90.0 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Multiracial | 62,000 | 1.2 | 60,600–63,500 | 55,536 | 89.5 | 1.2 | 87.4–91.7 | 61,700 | 1.3 | 60,200–63,200 | 55,260 | 89.6 | 1.3 | 87.4–91.8 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transmission categorye | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Male-to-male sexual contactf | 689,900 | 0.4 | 684,500–695,300 | 585,215 | 84.8 | 0.4 | 84.2–85.5 | 701,900 | 0.4 | 696,200–707,600 | 598,237 | 85.2 | 0.4 | 84.5–85.9 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Injection drug useg | 124,500 | 1.1 | 121,900–127,200 | 115,253 | 92.6 | 1.1 | 90.6–94.6 | 123,000 | 1.1 | 120,200–125,700 | 113,525 | 92.3 | 1.1 | 90.3–94.4 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Male | 72,100 | 1.5 | 69,900–74,200 | 66,494 | 92.2 | 1.5 | 89.6–95.1 | 71,100 | 1.6 | 68,900–73,300 | 65,327 | 91.9 | 1.6 | 89.1–94.8 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Female | 52,400 | 1.5 | 50,900–54,000 | 48,759 | 93.0 | 1.5 | 90.2–95.9 | 51,800 | 1.6 | 50,200–53,500 | 48,198 | 93.0 | 1.6 | 90.1–96.0 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Male-to-male sexual contactf and injection drug useg | 63,600 | 1.3 | 62,000–65,300 | 58,324 | 91.6 | 1.3 | 89.3–94.1 | 63,200 | 1.4 | 61,500–64,900 | 57,858 | 91.5 | 1.4 | 89.1–94.1 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Heterosexual contacth | 302,900 | 0.6 | 299,400–306,300 | 265,124 | 87.5 | 0.6 | 86.5–88.6 | 304,000 | 0.6 | 300,400–307,600 | 267,001 | 87.8 | 0.6 | 86.8–88.9 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Male | 94,100 | 1.1 | 92,000–96,200 | 79,292 | 84.3 | 1.1 | 82.4–86.2 | 93,900 | 1.2 | 91,700–96,100 | 79,440 | 84.6 | 1.2 | 82.6–86.6 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Female | 208,800 | 0.7 | 206,000–211,500 | 185,832 | 89.0 | 0.7 | 87.8–90.2 | 210,100 | 0.7 | 207,200–212,900 | 187,561 | 89.3 | 0.7 | 88.1–90.5 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Region of residence | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Northeast | 250,900 | 0.7 | 247,500–254,300 | 230,293 | 91.8 | 0.7 | 90.6–93.0 | 250,200 | 0.7 | 246,700–253,700 | 229,844 | 91.9 | 0.7 | 90.6–93.2 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Midwest | 144,500 | 0.9 | 142,000–147,000 | 122,883 | 85.0 | 0.9 | 83.6–86.5 | 146,400 | 0.9 | 143,800–149,000 | 124,830 | 85.3 | 0.9 | 83.8–86.8 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
South | 550,900 | 0.5 | 546,000–555,800 | 468,902 | 85.1 | 0.5 | 84.4–85.9 | 558,000 | 0.5 | 552,900–563,100 | 476,871 | 85.5 | 0.5 | 84.7–86.3 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
West | 238,500 | 0.7 | 235,300–241,700 | 205,487 | 86.2 | 0.7 | 85.0–87.3 | 241,400 | 0.7 | 238,100–244,800 | 208,711 | 86.4 | 0.7 | 85.3–87.7 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Totali | 1,184,800 | 0.3 | 1,177,600–1,192,100 | 1,027,565 | 86.7 | 0.3 | 86.2–87.3 | 1,196,000 | 0.3 | 1,188,400–1,203,500 | 1,040,256 | 87.0 | 0.3 | 86.4–87.5 |
2021a | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Persons living with diagnosed or undiagnosed HIV infection | Persons living with diagnosed HIV infection | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
No. | RSE | 95% CI | No.b | % | RSE | 95% CI | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Sex at birth | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Male | 946,500 | 0.4 | 939,400–953,500 | 819,141 | 86.5 | 0.4 | 85.9–87.2 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Female | 265,900 | 0.7 | 262,500–269,300 | 239,759 | 90.2 | 0.7 | 89.0–91.3 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Age (yr) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
13–24 | 41,900 | 2.1 | 40,200–43,700 | 23,671 | 56.4 | 2.1 | 54.2–58.9 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
25–34 | 217,100 | 0.7 | 214,000–220,200 | 157,035 | 72.3 | 0.7 | 71.3–73.4 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
35–44 | 238,300 | 0.6 | 235,700–241,000 | 202,019 | 84.8 | 0.6 | 83.8–85.7 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
45–54 | 263,000 | 0.4 | 260,700–265,300 | 243,001 | 92.4 | 0.4 | 91.6–93.2 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
≥ 55 | 452,000 | 0.4 | 448,600–455,400 | 433,174 | 95.8 | 0.4 | 95.1–96.6 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Race/ethnicity | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
American Indian/Alaska Native | 4,100 | 6.1 | 3,600–4,500 | 3,245 | 80.1 | 6.2 | 71.5–91.0 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Asianc | 18,600 | 2.4 | 17,700–19,400 | 16,455 | 88.7 | 2.5 | 84.6–93.1 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Black/African American | 487,500 | 0.5 | 482,500–492,500 | 425,519 | 87.3 | 0.5 | 86.4–88.2 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Hispanic/Latinod | 297,200 | 0.7 | 293,400–301,100 | 252,342 | 84.9 | 0.7 | 83.8–86.0 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Native Hawaiian/other Pacific Islander | 1,200 | 11.1 | 950–1,400 | 948 | 80.7 | 10.6 | 66.3–100 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
White | 342,000 | 0.6 | 337,800–346,300 | 304,871 | 89.1 | 0.6 | 88.0–90.3 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Multiracial | 61,200 | 1.3 | 59,600–62,800 | 54,864 | 89.6 | 1.3 | 87.4–92.0 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transmission categorye | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Male-to-male sexual contactf | 716,900 | 0.4 | 710,900–722,900 | 615,019 | 85.8 | 0.4 | 85.1–86.5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Injection drug useg | 121,900 | 1.2 | 119,200–124,700 | 112,395 | 92.2 | 1.2 | 90.1–94.3 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Male | 70,400 | 1.6 | 68,100–72,600 | 64,530 | 91.7 | 1.6 | 88.8–94.7 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Female | 51,600 | 1.6 | 49,900–53,200 | 47,864 | 92.8 | 1.6 | 89.9–95.9 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Male-to-male sexual contactf and injection drug useg | 62,900 | 1.4 | 61,100–64,600 | 57,559 | 91.6 | 1.4 | 89.1–94.2 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Heterosexual contacth | 306,700 | 0.6 | 303,000–310,500 | 270,255 | 88.1 | 0.6 | 87.0–89.2 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Male | 94,100 | 1.2 | 91,800–96,400 | 79,991 | 85.0 | 1.2 | 82.9–87.1 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Female | 212,600 | 0.7 | 209,600–215,600 | 190,265 | 89.5 | 0.7 | 88.3–90.8 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Region of residence | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Northeast | 250,600 | 0.7 | 247,100–254,200 | 230,704 | 92.0 | 0.7 | 90.7–93.4 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Midwest | 148,800 | 0.9 | 146,000–151,500 | 127,435 | 85.7 | 0.9 | 84.1–87.3 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
South | 567,800 | 0.5 | 562,400–573,200 | 487,976 | 85.9 | 0.5 | 85.1–86.8 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
West | 245,200 | 0.7 | 241,700–248,700 | 212,785 | 86.8 | 0.7 | 85.6–88.0 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Totali | 1,212,400 | 0.3 | 1,204,500–1,220,200 | 1,058,900 | 87.3 | 0.3 | 86.8–87.9 |
Abbreviations: RSE, relative standard error; CI, confidence interval; CDC, the Centers for Disease Control and Prevention [footnotes only]l; CD4, CD4+ T-lymphocyte count (cells/μL) or percentage [footnotes only].
Note. Estimates for the year 2021 data are preliminary and based on deaths reported to CDC as of December 2022. Estimates derived by using HIV surveillance data and CD4 data for persons aged ≥ 13 years at diagnosis.
a Estimates for years 2020 and 2021 should be interpreted with caution due to adjustments made to the monthly distribution of reported diagnoses during those years to account for the impact of COVID-19 on HIV testing and diagnosis in the United States. See Technical Notes of Estimated HIV Incidence and Prevalence in the United States, 2017‒2021 for more information.
b Reported to the National HIV Surveillance System.
c Includes Asian/Pacific Islander legacy cases.
d Hispanic/Latino persons can be of any race.
e Transmission category is classified based on a hierarchy of the risk factors most likely responsible for HIV transmission; classification is determined based on the person’s assigned sex at birth. Data have been statistically adjusted to account for missing transmission category; therefore, values may not sum to column total.
f Includes individuals assigned male sex at birth, regardless of current gender identity, who have had sexual contact with other males, and individuals assigned male sex at birth who have had sexual contact with both males and females (i.e., bisexual contact).
g Includes persons who injected nonprescription drugs or who injected prescription drugs for nonmedical purposes. Also includes injection of drugs prescribed to persons if there is evidence that injection equipment was shared (e.g., syringes, needles, cookers).
h Heterosexual contact with a person known to have, or with a risk factor for, HIV infection.
i Includes persons with other risk factors, including hemophilia, blood transfusion, and risk factor not reported or not identified. Data not displayed because the numbers were too small to be meaningful.
2017 | 2018 | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Persons living with diagnosed or undiagnosed HIV infection | Persons living with diagnosed HIV infection | Persons living with diagnosed or undiagnosed HIV infection | Persons living with diagnosed HIV infection | |||||||||||
No. | RSE | 95% CI | No.b | % | RSE | 95% CI | No. | RSE | 95% CI | No.b | % | RSE | 95% CI | |
Alabama | 15,600 | 2.6 | 14,800–16,400 | 12,899 | 82.5 | 2.6 | 78.6–86.9 | 16,000 | 2.6 | 15,200–16,800 | 13,331 | 83.2 | 2.6 | 79.1–87.6 |
Alaska | 820 | 10.8 | 710–1,000 | 705 | 85.7 | 8.7 | 70.7–100 | 810 | 11.2 | 690–990 | 694 | 85.2 | 9.0 | 69.8–100 |
Arizona | 18,800 | 2.2 | 18,000–19,600 | 15,606 | 83.1 | 2.2 | 79.6–86.9 | 19,500 | 2.2 | 18,600–20,300 | 16,246 | 83.4 | 2.3 | 79.9–87.2 |
Arkansas | 6,900 | 3.8 | 6,400–7,400 | 5,458 | 79.0 | 3.9 | 73.5–85.5 | 7,000 | 3.9 | 6,500–7,600 | 5,614 | 79.8 | 4.0 | 74.1–86.4 |
California | 146,700 | 0.8 | 144,300–149,100 | 126,922 | 86.5 | 0.8 | 85.1–88.0 | 149,300 | 0.9 | 146,800–151,800 | 129,640 | 86.8 | 0.9 | 85.4–88.3 |
Colorado | 13,800 | 2.6 | 13,100–14,500 | 11,969 | 86.7 | 2.6 | 82.5–91.3 | 14,300 | 2.6 | 13,500–15,000 | 12,422 | 87.1 | 2.6 | 82.9–91.7 |
Connecticut | 11,200 | 3.1 | 10,500–11,900 | 10,138 | 90.5 | 3.1 | 85.3–96.4 | 11,300 | 3.1 | 10,600–12,000 | 10,281 | 91.1 | 3.2 | 85.8–97.0 |
Delaware | 3,700 | 5.3 | 3,300–4,100 | 3,218 | 86.9 | 5.4 | 78.7–97.0 | 3,700 | 5.4 | 3,300–4,100 | 3,240 | 87.1 | 5.5 | 78.7–97.4 |
District of Columbia | 15,100 | 2.7 | 14,300–15,900 | 14,039 | 93.0 | 2.7 | 88.4–98.1 | 14,900 | 2.7 | 14,100–15,700 | 13,917 | 93.2 | 2.7 | 88.5–98.5 |
Florida | 125,800 | 0.9 | 123,600–128,100 | 107,755 | 85.6 | 0.9 | 84.1–87.2 | 127,700 | 0.9 | 125,400–130,000 | 109,843 | 86.0 | 0.9 | 84.5–87.6 |
Georgia | 63,600 | 1.2 | 62,100–65,100 | 52,255 | 82.2 | 1.2 | 80.3–84.2 | 65,600 | 1.2 | 64,000–67,200 | 54,270 | 82.7 | 1.2 | 80.8–84.7 |
Hawaii | 2,700 | 6.4 | 2,400–3,000 | 2,376 | 88.5 | 6.2 | 78.6–100 | 2,600 | 6.7 | 2,300–3,000 | 2,324 | 88.8 | 6.2 | 78.5–100 |
Idahoc | 1,500 | 10.7 | 1,200–1,800 | 1,093 | 74.2 | 11.2 | 61.3–93.9 | 1,500 | 11.2 | 1,200–1,900 | 1,143 | 74.4 | 11.8 | 61.1–95.4 |
Illinois | 39,800 | 1.6 | 38,600–41,100 | 34,336 | 86.2 | 1.6 | 83.5–89.1 | 40,500 | 1.6 | 39,200–41,900 | 35,131 | 86.6 | 1.7 | 83.9–89.5 |
Indiana | 13,000 | 2.7 | 12,300–13,700 | 10,859 | 83.4 | 2.7 | 79.1–88.1 | 13,400 | 2.8 | 12,700–14,100 | 11,209 | 83.6 | 2.8 | 79.3–88.4 |
Iowa | 3,100 | 5.1 | 2,800–3,400 | 2,634 | 84.4 | 5.2 | 76.7–93.9 | 3,200 | 5.2 | 2,900–3,600 | 2,744 | 84.7 | 5.2 | 76.9–94.3 |
Kansas | 3,600 | 5.3 | 3,200–4,000 | 2,972 | 82.5 | 5.4 | 74.7–92.2 | 3,600 | 5.5 | 3,200–4,000 | 3,043 | 83.7 | 5.6 | 75.6–93.8 |
Kentucky | 8,400 | 3.3 | 7,900–9,000 | 6,903 | 81.8 | 3.3 | 76.9–87.4 | 8,700 | 3.3 | 8,200–9,300 | 7,154 | 81.8 | 3.3 | 76.8–87.4 |
Louisiana | 24,100 | 2.1 | 23,100–25,100 | 20,019 | 83.2 | 2.1 | 79.8–86.8 | 24,500 | 2.2 | 23,500–25,600 | 20,491 | 83.5 | 2.2 | 80.1–87.2 |
Maine | 1,800 | 7.5 | 1,500–2,000 | 1,537 | 86.5 | 7.3 | 75.4–100 | 1,800 | 7.6 | 1,600–2,100 | 1,585 | 87.0 | 7.1 | 75.7–100 |
Maryland | 36,100 | 1.7 | 34,900–37,300 | 32,102 | 89.0 | 1.7 | 86.1–92.0 | 36,400 | 1.7 | 35,200–37,700 | 32,609 | 89.5 | 1.7 | 86.6–92.6 |
Massachusetts | 22,000 | 2.1 | 21,100–22,900 | 19,945 | 90.7 | 2.1 | 87.2–94.6 | 22,200 | 2.1 | 21,300–23,100 | 20,248 | 91.1 | 2.1 | 87.5–95.0 |
Michigan | 18,300 | 2.5 | 17,400–19,200 | 15,449 | 84.5 | 2.5 | 80.6–88.8 | 18,500 | 2.5 | 17,600–19,400 | 15,762 | 85.1 | 2.5 | 81.1–89.5 |
Minnesota | 9,300 | 3.0 | 8,800–9,900 | 8,140 | 87.1 | 3.1 | 82.2–92.7 | 9,600 | 3.0 | 9,100–10,200 | 8,416 | 87.3 | 3.1 | 82.4–92.9 |
Mississippid | 11,000 | 3.1 | 10,300–11,700 | 9,089 | 82.5 | 3.2 | 77.7–87.9 | 11,200 | 3.2 | 10,400–11,900 | 9,259 | 83.0 | 3.2 | 78.1–88.6 |
Missouri | 14,000 | 2.7 | 13,300–14,700 | 12,140 | 86.7 | 2.7 | 82.4–91.5 | 14,300 | 2.7 | 13,600–15,100 | 12,445 | 86.7 | 2.7 | 82.4–91.5 |
Montana | 680 | 10.2 | 600–820 | 604 | 88.9 | 7.4 | 74.1–100 | 700 | 10.2 | 630–840 | 628 | 90.2 | 7.1 | 75.1–100 |
Nebraska | 2,500 | 6.0 | 2,200–2,800 | 2,085 | 83.7 | 6.1 | 74.9–95.0 | 2,500 | 6.1 | 2,200–2,800 | 2,128 | 84.7 | 6.2 | 75.6–96.4 |
Nevada | 11,600 | 2.8 | 10,900–12,200 | 9,397 | 81.2 | 2.8 | 77.0–85.9 | 12,200 | 2.8 | 11,600–12,900 | 9,975 | 81.5 | 2.8 | 77.3–86.2 |
New Hampshire | 1,300 | 8.7 | 1,200–1,500 | 1,156 | 88.3 | 7.1 | 75.5–100 | 1,400 | 8.5 | 1,200–1,600 | 1,224 | 89.1 | 6.8 | 76.4–100 |
New Jerseyc | 38,300 | 1.9 | 36,900–39,800 | 33,765 | 88.1 | 1.9 | 84.9–91.4 | 38,400 | 1.9 | 36,900–39,800 | 33,888 | 88.3 | 1.9 | 85.1–91.8 |
New Mexico | 3,900 | 4.6 | 3,600–4,300 | 3,382 | 86.6 | 4.7 | 79.4–95.2 | 4,100 | 4.5 | 3,800–4,500 | 3,579 | 86.6 | 4.6 | 79.5–95.0 |
New York | 133,000 | 0.9 | 130,600–135,300 | 122,472 | 92.1 | 0.9 | 90.5–93.8 | 133,200 | 0.9 | 130,800–135,600 | 123,159 | 92.4 | 0.9 | 90.8–94.1 |
North Carolina | 35,600 | 1.6 | 34,500–36,700 | 30,380 | 85.4 | 1.6 | 82.8–88.2 | 36,600 | 1.6 | 35,400–37,700 | 31,306 | 85.6 | 1.6 | 83.0–88.4 |
North Dakota | 630 | 13.7 | 460–800 | 404 | 64.3 | 14.8 | 50.7–88.1 | 680 | 13.9 | 500–870 | 442 | 64.8 | 15.0 | 50.9–89.2 |
Ohio | 25,700 | 1.9 | 24,700–26,700 | 21,502 | 83.7 | 1.9 | 80.6–87.0 | 26,200 | 2.0 | 25,200–27,200 | 22,066 | 84.3 | 2.0 | 81.2–87.6 |
Oklahoma | 7,300 | 3.8 | 6,800–7,900 | 5,930 | 81.1 | 3.8 | 75.5–87.6 | 7,500 | 3.8 | 7,000–8,100 | 6,091 | 80.9 | 3.8 | 75.3–87.4 |
Oregon | 7,700 | 3.3 | 7,200–8,200 | 6,808 | 88.4 | 3.4 | 83.0–94.6 | 7,800 | 3.4 | 7,300–8,300 | 6,983 | 89.3 | 3.4 | 83.7–95.6 |
Pennsylvaniac | 38,700 | 1.6 | 37,500–39,900 | 34,533 | 89.2 | 1.6 | 86.5–92.2 | 39,300 | 1.7 | 38,100–40,600 | 35,164 | 89.4 | 1.7 | 86.6–92.4 |
Puerto Ricoc,d | 17,500 | 3.0 | 16,500–18,500 | 15,628 | 89.3 | 3.0 | 84.4–94.9 | 17,300 | 3.1 | 16,200–18,300 | 15,483 | 89.7 | 3.1 | 84.6–95.4 |
Rhode Island | 2,800 | 5.8 | 2,500–3,100 | 2,498 | 90.0 | 5.4 | 80.8–100 | 2,800 | 5.8 | 2,500–3,100 | 2,549 | 90.6 | 5.3 | 81.3–100 |
South Carolina | 19,600 | 2.3 | 18,700–20,500 | 16,214 | 82.8 | 2.3 | 79.2–86.7 | 20,000 | 2.3 | 19,100–20,900 | 16,683 | 83.3 | 2.3 | 79.6–87.3 |
South Dakota | 740 | 12.0 | 570–910 | 565 | 76.8 | 12.6 | 62.1–100 | 770 | 12.3 | 600–960 | 600 | 77.7 | 12.3 | 62.6–100 |
Tennessee | 19,600 | 2.3 | 18,700–20,400 | 16,564 | 84.7 | 2.3 | 81.1–88.6 | 20,200 | 2.2 | 19,300–21,000 | 17,166 | 85.2 | 2.3 | 81.6–89.1 |
Texas | 106,300 | 1.0 | 104,300–108,300 | 87,340 | 82.2 | 1.0 | 80.6–83.7 | 109,800 | 1.0 | 107,800–111,900 | 90,838 | 82.7 | 1.0 | 81.2–84.3 |
Utah | 3,300 | 5.4 | 3,000–3,700 | 2,725 | 82.0 | 5.5 | 74.2–91.7 | 3,500 | 5.3 | 3,200–3,900 | 2,910 | 82.5 | 5.4 | 74.7–92.1 |
Vermont | 730 | 10.0 | 670–880 | 668 | 91.0 | 6.7 | 76.0–100 | 740 | 10.1 | 690–890 | 686 | 92.4 | 6.3 | 77.2–100 |
Virginia | 25,700 | 2.0 | 24,700–26,700 | 21,991 | 85.5 | 2.0 | 82.2–89.0 | 26,300 | 2.0 | 25,200–27,300 | 22,597 | 86.0 | 2.0 | 82.7–89.5 |
Washington | 14,900 | 2.5 | 14,200–15,600 | 12,980 | 87.1 | 2.5 | 83.0–91.6 | 15,400 | 2.5 | 14,600–16,100 | 13,381 | 87.1 | 2.5 | 83.1–91.7 |
West Virginia | 2,200 | 6.8 | 1,900–2,500 | 1,781 | 79.8 | 6.9 | 70.4–92.0 | 2,400 | 6.8 | 2,100–2,700 | 1,885 | 77.9 | 6.9 | 68.8–89.9 |
Wisconsin | 7,100 | 3.7 | 6,600–7,600 | 6,043 | 85.4 | 3.7 | 79.7–92.1 | 7,200 | 3.7 | 6,700–7,700 | 6,179 | 85.7 | 3.7 | 79.9–92.4 |
Wyoming | 370 | 15.1 | 320–480 | 322 | 86.8 | 9.7 | 67.0–100 | 390 | 14.7 | 340–510 | 343 | 87.1 | 9.5 | 67.6–100 |
2019 | 2020 (COVID-19 pandemic)a | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Persons living with diagnosed or undiagnosed HIV infection | Persons living with diagnosed HIV infection | Persons living with diagnosed or undiagnosed HIV infection | Persons living with diagnosed HIV infection | |||||||||||
No. | RSE | 95% CI | No.b | % | RSE | 95% CI | No. | RSE | 95% CI | No.b | % | RSE | 95% CI | |
Alabama | 16,300 | 2.6 | 15,500–17,200 | 13,721 | 84.0 | 2.6 | 79.9–88.6 | 16,600 | 2.7 | 15,700–17,500 | 13,992 | 84.4 | 2.7 | 80.1–89.1 |
Alaska | 840 | 11.3 | 710–1,000 | 711 | 84.6 | 9.3 | 69.2–100 | 850 | 11.7 | 720–1,000 | 721 | 84.9 | 9.3 | 69.1–100 |
Arizona | 20,200 | 2.3 | 19,300–21,100 | 16,969 | 83.9 | 2.3 | 80.3–87.9 | 20,700 | 2.4 | 19,800–21,700 | 17,472 | 84.3 | 2.4 | 80.6–88.4 |
Arkansas | 7,300 | 4.0 | 6,700–7,900 | 5,815 | 79.9 | 4.1 | 74.1–86.7 | 7,500 | 4.2 | 6,800–8,100 | 5,948 | 79.8 | 4.3 | 73.7–87.1 |
California | 151,700 | 0.9 | 149,100–154,200 | 132,153 | 87.1 | 0.9 | 85.7–88.6 | 152,800 | 0.9 | 150,200–155,500 | 133,497 | 87.3 | 0.9 | 85.8–88.9 |
Colorado | 14,600 | 2.6 | 13,900–15,400 | 12,790 | 87.5 | 2.6 | 83.2–92.2 | 14,900 | 2.7 | 14,100–15,600 | 13,031 | 87.7 | 2.7 | 83.3–92.5 |
Connecticut | 11,400 | 3.2 | 10,600–12,100 | 10,392 | 91.5 | 3.2 | 86.2–97.6 | 11,300 | 3.3 | 10,600–12,100 | 10,391 | 91.7 | 3.3 | 86.2–98.0 |
Delaware | 3,800 | 5.5 | 3,400–4,200 | 3,326 | 87.7 | 5.5 | 79.2–98.2 | 3,900 | 5.6 | 3,400–4,300 | 3,381 | 87.5 | 5.7 | 78.8–98.3 |
District of Columbia | 14,800 | 2.8 | 14,000–15,700 | 13,882 | 93.5 | 2.8 | 88.7–99.0 | 14,500 | 2.9 | 13,700–15,400 | 13,655 | 94.0 | 2.9 | 88.9–99.6 |
Florida | 129,700 | 0.9 | 127,300–132,100 | 112,068 | 86.4 | 0.9 | 84.8–88.0 | 130,900 | 1.0 | 128,400–133,400 | 113,398 | 86.7 | 1.0 | 85.0–88.3 |
Georgia | 67,500 | 1.2 | 65,900–69,100 | 56,154 | 83.2 | 1.2 | 81.2–85.3 | 68,600 | 1.3 | 66,800–70,300 | 57,318 | 83.6 | 1.3 | 81.5–85.8 |
Hawaii | 2,600 | 6.9 | 2,300–3,000 | 2,339 | 89.4 | 6.1 | 78.8–100 | 2,600 | 7.1 | 2,400–3,000 | 2,351 | 89.1 | 6.2 | 78.2–100 |
Idahoc | 1,600 | 11.5 | 1,300–2,000 | 1,215 | 74.1 | 12.2 | 60.5–95.8 | 1,700 | 12.2 | 1,300–2,100 | 1,244 | 74.7 | 12.9 | 60.3–98.1 |
Illinois | 40,500 | 1.7 | 39,200–41,900 | 35,248 | 86.9 | 1.7 | 84.1–89.9 | 40,600 | 1.8 | 39,200–42,000 | 35,390 | 87.2 | 1.8 | 84.3–90.3 |
Indiana | 13,600 | 2.8 | 12,900–14,400 | 11,430 | 83.8 | 2.8 | 79.3–88.7 | 14,000 | 3.0 | 13,200–14,800 | 11,692 | 83.6 | 3.0 | 79.0–88.7 |
Iowa | 3,400 | 5.3 | 3,000–3,700 | 2,832 | 84.0 | 5.3 | 76.2–93.7 | 3,400 | 5.5 | 3,000–3,800 | 2,887 | 84.4 | 5.6 | 76.1–94.7 |
Kansas | 3,800 | 5.6 | 3,300–4,200 | 3,104 | 82.7 | 5.7 | 74.6–92.9 | 3,900 | 5.6 | 3,500–4,400 | 3,264 | 83.0 | 5.7 | 74.7–93.3 |
Kentucky | 9,100 | 3.3 | 8,500–9,700 | 7,456 | 81.9 | 3.4 | 76.9–87.7 | 9,400 | 3.5 | 8,800–10,100 | 7,761 | 82.4 | 3.5 | 77.2–88.4 |
Louisiana | 25,000 | 2.2 | 23,900–26,100 | 20,964 | 83.9 | 2.2 | 80.5–87.7 | 25,200 | 2.3 | 24,000–26,300 | 21,131 | 84.0 | 2.3 | 80.4–87.9 |
Maine | 1,800 | 7.8 | 1,600–2,100 | 1,619 | 88.2 | 6.8 | 76.5–100 | 1,800 | 8.0 | 1,600–2,100 | 1,626 | 88.4 | 6.8 | 76.3–100 |
Maryland | 36,400 | 1.8 | 35,200–37,700 | 32,785 | 90.0 | 1.8 | 87.0–93.2 | 36,400 | 1.8 | 35,200–37,700 | 32,922 | 90.3 | 1.8 | 87.2–93.6 |
Massachusetts | 22,400 | 2.1 | 21,500–23,400 | 20,526 | 91.5 | 2.1 | 87.8–95.5 | 22,500 | 2.2 | 21,600–23,500 | 20,671 | 91.8 | 2.2 | 88.0–95.8 |
Michigan | 19,100 | 2.5 | 18,100–20,000 | 16,367 | 85.9 | 2.5 | 81.9–90.3 | 19,300 | 2.6 | 18,400–20,300 | 16,642 | 86.0 | 2.6 | 81.9–90.6 |
Minnesota | 9,900 | 3.1 | 9,300–10,500 | 8,679 | 87.7 | 3.1 | 82.7–93.3 | 10,000 | 3.1 | 9,400–10,700 | 8,858 | 88.1 | 3.2 | 83.0–93.9 |
Mississippid | 11,400 | 3.3 | 10,700–12,200 | 9,528 | 83.4 | 3.3 | 78.3–89.2 | 11,500 | 3.5 | 10,700–12,300 | 9,554 | 83.1 | 3.5 | 77.7–89.2 |
Missouri | 14,500 | 2.7 | 13,800–15,300 | 12,667 | 87.1 | 2.7 | 82.7–92.0 | 14,600 | 2.8 | 13,800–15,400 | 12,755 | 87.4 | 2.8 | 82.8–92.5 |
Montana | 710 | 10.3 | 650–860 | 652 | 91.4 | 6.7 | 76.0–100 | 740 | 10.2 | 680–890 | 680 | 92.0 | 6.5 | 76.7–100 |
Nebraska | 2,600 | 6.3 | 2,200–2,900 | 2,184 | 85.2 | 6.4 | 75.9–97.2 | 2,700 | 6.4 | 2,400–3,000 | 2,287 | 84.8 | 6.5 | 75.4–97.0 |
Nevada | 12,900 | 2.8 | 12,200–13,600 | 10,538 | 81.8 | 2.8 | 77.6–86.6 | 13,300 | 3.0 | 12,600–14,100 | 10,889 | 81.6 | 3.0 | 77.1–86.6 |
New Hampshire | 1,400 | 8.4 | 1,300–1,700 | 1,275 | 89.8 | 6.5 | 77.1–100 | 1,400 | 8.6 | 1,300–1,700 | 1,295 | 90.4 | 6.4 | 77.4–100 |
New Jerseyc | 38,700 | 2.0 | 37,200–40,200 | 34,282 | 88.6 | 2.0 | 85.4–92.2 | 38,700 | 2.0 | 37,200–40,200 | 34,376 | 88.9 | 2.0 | 85.5–92.5 |
New Mexico | 4,300 | 4.5 | 3,900–4,700 | 3,754 | 87.4 | 4.6 | 80.2–95.9 | 4,400 | 4.6 | 4,000–4,800 | 3,867 | 87.5 | 4.7 | 80.2–96.3 |
New York | 132,800 | 0.9 | 130,400–135,200 | 123,173 | 92.7 | 0.9 | 91.1–94.5 | 131,600 | 1.0 | 129,100–134,100 | 122,311 | 92.9 | 1.0 | 91.2–94.7 |
North Carolina | 37,900 | 1.6 | 36,700–39,100 | 32,577 | 86.0 | 1.6 | 83.4–88.9 | 38,300 | 1.7 | 37,000–39,500 | 33,118 | 86.5 | 1.7 | 83.8–89.5 |
North Dakota | 740 | 14.3 | 530–950 | 486 | 65.6 | 15.5 | 51.3–91.3 | 760 | 15.0 | 540–980 | 515 | 67.7 | 16.4 | 52.4–95.9 |
Ohio | 26,900 | 2.0 | 25,800–27,900 | 22,874 | 85.1 | 2.0 | 81.9–88.5 | 27,300 | 2.0 | 26,200–28,300 | 23,327 | 85.6 | 2.0 | 82.3–89.1 |
Oklahoma | 7,800 | 3.9 | 7,300–8,400 | 6,321 | 80.5 | 3.9 | 74.9–87.1 | 8,100 | 4.0 | 7,400–8,700 | 6,550 | 81.0 | 4.0 | 75.1–87.9 |
Oregon | 8,000 | 3.4 | 7,500–8,600 | 7,183 | 89.6 | 3.4 | 84.0–96.0 | 8,100 | 3.5 | 7,500–8,700 | 7,269 | 89.6 | 3.5 | 83.8–96.3 |
Pennsylvaniac | 39,800 | 1.7 | 38,500–41,100 | 35,721 | 89.8 | 1.7 | 87.0–92.9 | 39,900 | 1.7 | 38,500–41,200 | 35,860 | 90.0 | 1.7 | 87.0–93.1 |
Puerto Ricoc,d | 17,300 | 3.1 | 16,200–18,300 | 15,556 | 90.1 | 3.1 | 85.0–96.0 | 17,100 | 3.2 | 16,000–18,200 | 15,496 | 90.6 | 3.2 | 85.3–96.7 |
Rhode Island | 2,900 | 5.8 | 2,600–3,200 | 2,611 | 91.2 | 5.1 | 81.8–100 | 2,900 | 6.0 | 2,600–3,200 | 2,617 | 91.0 | 5.2 | 81.5–100 |
South Carolina | 20,500 | 2.4 | 19,600–21,500 | 17,236 | 84.0 | 2.4 | 80.2–88.1 | 20,900 | 2.5 | 19,800–21,900 | 17,568 | 84.3 | 2.5 | 80.4–88.5 |
South Dakota | 800 | 12.5 | 640–1,000 | 636 | 79.2 | 11.7 | 63.6–100 | 860 | 12.9 | 680–1,100 | 679 | 78.7 | 12.1 | 62.8–100 |
Tennessee | 20,700 | 2.3 | 19,700–21,600 | 17,641 | 85.3 | 2.3 | 81.7–89.3 | 21,100 | 2.3 | 20,100–22,100 | 18,158 | 86.0 | 2.3 | 82.3–90.2 |
Texas | 113,300 | 1.0 | 111,100–115,500 | 94,185 | 83.1 | 1.0 | 81.6–84.8 | 115,900 | 1.0 | 113,600–118,200 | 96,755 | 83.5 | 1.0 | 81.9–85.2 |
Utah | 3,700 | 5.4 | 3,300–4,100 | 3,055 | 83.0 | 5.4 | 75.1–92.8 | 3,900 | 5.4 | 3,400–4,300 | 3,232 | 83.8 | 5.5 | 75.7–93.8 |
Vermont | 750 | 10.2 | 690–900 | 694 | 92.5 | 6.3 | 77.1–100 | 750 | 10.4 | 700–900 | 697 | 92.8 | 6.3 | 77.0–100 |
Virginia | 26,900 | 2.1 | 25,800–28,000 | 23,253 | 86.4 | 2.1 | 83.1–90.0 | 27,200 | 2.1 | 26,000–28,300 | 23,563 | 86.7 | 2.1 | 83.3–90.5 |
Washington | 15,800 | 2.5 | 15,000–16,600 | 13,788 | 87.3 | 2.6 | 83.1–91.9 | 16,100 | 2.6 | 15,300–16,900 | 14,110 | 87.5 | 2.6 | 83.3–92.3 |
West Virginia | 2,600 | 7.2 | 2,300–3,000 | 1,990 | 75.7 | 7.3 | 66.4–88.2 | 2,800 | 7.6 | 2,400–3,200 | 2,099 | 75.4 | 7.8 | 65.6–88.7 |
Wisconsin | 7,400 | 3.7 | 6,900–8,000 | 6,376 | 86.0 | 3.8 | 80.1–92.8 | 7,600 | 3.9 | 7,000–8,200 | 6,534 | 85.7 | 3.9 | 79.6–92.7 |
Wyoming | 390 | 15.5 | 340–510 | 340 | 87.6 | 9.6 | 67.2–100 | 390 | 16.2 | 350–520 | 348 | 88.5 | 9.5 | 67.2–100 |
2021a | |||||||
---|---|---|---|---|---|---|---|
Persons living with diagnosed or undiagnosed HIV infection | Persons living with diagnosed HIV infection | ||||||
No. | RSE | 95% CI | No.b | % | RSE | 95% CI | |
Alabama | 17,000 | 2.8 | 16,100–17,900 | 14,313 | 84.3 | 2.8 | 79.9–89.2 |
Alaska | 860 | 12.1 | 740–1,100 | 743 | 86.7 | 8.8 | 70.0–100 |
Arizona | 21,400 | 2.5 | 20,300–22,400 | 18,056 | 84.6 | 2.5 | 80.7–88.9 |
Arkansas | 7,800 | 4.4 | 7,100–8,400 | 6,178 | 79.7 | 4.5 | 73.3–87.3 |
California | 154,300 | 0.9 | 151,500–157,100 | 135,306 | 87.7 | 0.9 | 86.1–89.3 |
Colorado | 15,300 | 2.8 | 14,400–16,100 | 13,328 | 87.3 | 2.8 | 82.9–92.3 |
Connecticut | 11,400 | 3.3 | 10,600–12,100 | 10,466 | 92.0 | 3.3 | 86.4–98.5 |
Delaware | 3,900 | 5.8 | 3,500–4,400 | 3,471 | 87.9 | 5.9 | 78.9–99.1 |
District of Columbia | 14,300 | 3.0 | 13,500–15,200 | 13,504 | 94.2 | 3.0 | 89.0–100 |
Florida | 133,000 | 1.0 | 130,400–135,600 | 115,906 | 87.1 | 1.0 | 85.4–88.9 |
Georgia | 70,100 | 1.4 | 68,200–72,000 | 58,899 | 84.0 | 1.4 | 81.8–86.3 |
Hawaii | 2,700 | 7.3 | 2,400–3,000 | 2,369 | 89.1 | 6.3 | 78.0–100 |
Idahoc | 1,700 | 12.9 | 1,300–2,100 | 1,285 | 75.7 | 13.4 | 60.4–100 |
Illinois | 40,500 | 1.8 | 39,000–42,000 | 35,388 | 87.4 | 1.8 | 84.3–90.7 |
Indiana | 14,500 | 3.0 | 13,700–15,400 | 12,208 | 84.0 | 3.0 | 79.3–89.2 |
Iowa | 3,500 | 5.7 | 3,200–3,900 | 3,009 | 84.8 | 5.8 | 76.2–95.5 |
Kansas | 4,100 | 5.7 | 3,700–4,600 | 3,446 | 83.8 | 5.8 | 75.3–94.4 |
Kentucky | 9,800 | 3.6 | 9,100–10,400 | 8,066 | 82.7 | 3.7 | 77.2–89.1 |
Louisiana | 25,300 | 2.4 | 24,200–26,500 | 21,376 | 84.4 | 2.4 | 80.6–88.5 |
Maine | 1,900 | 8.2 | 1,700–2,200 | 1,670 | 89.0 | 6.7 | 76.6–100 |
Maryland | 36,400 | 1.8 | 35,000–37,700 | 32,944 | 90.6 | 1.9 | 87.4–94.0 |
Massachusetts | 22,600 | 2.2 | 21,600–23,600 | 20,793 | 92.0 | 2.2 | 88.1–96.1 |
Michigan | 19,800 | 2.6 | 18,800–20,800 | 17,115 | 86.4 | 2.6 | 82.2–91.1 |
Minnesota | 10,200 | 3.2 | 9,600–10,900 | 9,086 | 88.7 | 3.2 | 83.4–94.7 |
Mississippid | 11,700 | 3.7 | 10,900–12,600 | 9,764 | 83.2 | 3.7 | 77.6–89.6 |
Missouri | 14,800 | 2.9 | 14,000–15,700 | 12,999 | 87.6 | 2.9 | 82.9–92.9 |
Montana | 780 | 10.1 | 720–930 | 717 | 91.9 | 6.5 | 76.7–100 |
Nebraska | 2,800 | 6.7 | 2,400–3,100 | 2,348 | 84.8 | 6.8 | 75.0–97.6 |
Nevada | 13,800 | 3.1 | 13,000–14,700 | 11,336 | 82.0 | 3.1 | 77.3–87.3 |
New Hampshire | 1,500 | 8.6 | 1,300–1,700 | 1,339 | 90.6 | 6.3 | 77.5–100 |
New Jerseyc | 39,000 | 2.1 | 37,400–40,600 | 34,636 | 88.8 | 2.1 | 85.3–92.6 |
New Mexico | 4,600 | 4.7 | 4,100–5,000 | 3,990 | 87.7 | 4.8 | 80.2–96.7 |
New York | 131,100 | 1.0 | 128,500–133,600 | 122,136 | 93.2 | 1.0 | 91.4–95.0 |
North Carolina | 38,900 | 1.7 | 37,600–40,200 | 33,947 | 87.2 | 1.7 | 84.4–90.3 |
North Dakota | 800 | 16.0 | 550–1,100 | 533 | 66.5 | 17.8 | 50.6–97.0 |
Ohio | 27,700 | 2.1 | 26,600–28,900 | 23,842 | 86.0 | 2.1 | 82.6–89.6 |
Oklahoma | 8,400 | 4.1 | 7,700–9,100 | 6,878 | 81.7 | 4.2 | 75.6–88.9 |
Oregon | 8,300 | 3.7 | 7,700–8,900 | 7,433 | 89.6 | 3.7 | 83.6–96.6 |
Pennsylvaniac | 40,100 | 1.8 | 38,700–41,500 | 36,287 | 90.5 | 1.8 | 87.5–93.8 |
Puerto Ricoc,d | 17,100 | 3.2 | 16,000–18,200 | 15,579 | 91.1 | 3.3 | 85.7–97.3 |
Rhode Island | 2,900 | 6.1 | 2,700–3,300 | 2,663 | 91.6 | 5.0 | 81.9–100 |
South Carolina | 21,200 | 2.6 | 20,100–22,300 | 17,914 | 84.5 | 2.6 | 80.5–89.0 |
South Dakota | 910 | 13.5 | 710–1,100 | 708 | 78.1 | 12.5 | 61.7–100 |
Tennessee | 21,400 | 2.4 | 20,400–22,400 | 18,554 | 86.6 | 2.4 | 82.7–90.9 |
Texas | 119,000 | 1.0 | 116,500–121,400 | 99,947 | 84.0 | 1.0 | 82.3–85.8 |
Utah | 4,000 | 5.6 | 3,600–4,500 | 3,409 | 84.4 | 5.7 | 76.0–94.8 |
Vermont | 760 | 10.4 | 710–920 | 714 | 93.5 | 6.1 | 77.6–100 |
Virginia | 27,600 | 2.2 | 26,500–28,800 | 24,143 | 87.3 | 2.2 | 83.8–91.2 |
Washington | 16,500 | 2.7 | 15,600–17,300 | 14,445 | 87.8 | 2.7 | 83.3–92.7 |
West Virginia | 2,900 | 8.3 | 2,400–3,300 | 2,172 | 76.1 | 8.5 | 65.4–90.8 |
Wisconsin | 7,800 | 4.0 | 7,200–8,400 | 6,753 | 86.2 | 4.0 | 79.9–93.5 |
Wyoming | 420 | 16.2 | 370–550 | 368 | 88.6 | 9.4 | 67.2–100 |
Abbreviations: RSE, relative standard error; CI, confidence interval; CD4, CD4+ T-lymphocyte count (cells/μL) or percentage [footnotes only].
Note. Estimates for the year 2021 data are preliminary and based on deaths reported to CDC as of December 2022. Estimates derived by using HIV surveillance data and CD4 data for persons aged ≥ 13 years at diagnosis.
Estimates rounded to the nearest 100 for estimates > 1,000 and to the nearest 10 for estimates ≤ 1,000 to reflect the uncertainty.
a Estimates for years 2020 and 2021 should be interpreted with caution due to adjustments made to the monthly distribution of reported diagnoses during those years to account for the impact of COVID-19 on HIV testing and diagnosis in the United States. See Technical Notes of Estimated HIV Incidence and Prevalence in the United States, 2017‒2021 for more information.
b Reported to the National HIV Surveillance System.
c Estimates should be interpreted with caution because the jurisdiction does not have laws requiring complete reporting of laboratory data or has incomplete reporting. Areas without laws: Idaho. Areas with incomplete reporting: New Jersey, Pennsylvania (excluding Philadelphia), and Puerto Rico.
d Estimates should be interpreted with caution due to incomplete ascertainment of deaths that occurred during the year 2021.
2017 | 2018 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Persons living with diagnosed or undiagnosed HIV infection | Persons living with diagnosed HIV infection | Persons living with diagnosed or undiagnosed HIV infection | Persons living with diagnosed HIV infection | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
No. | RSE | 95% CI | No.b | % | RSE | 95% CI | No. | RSE | 95% CI | No.b | % | RSE | 95% CI | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Arizona | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Maricopa County | 13,000 | 2.7 | 12,300–13,600 | 10,672 | 82.4 | 2.7 | 78.2 | 13,400 | 2.8 | 12,700–14,100 | 11,101 | 82.8 | 2.8 | 78.6–87.6 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
California | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Alameda County | 6,700 | 4.0 | 6,200–7,200 | 5,813 | 86.8 | 4.0 | 80.5 | 6,900 | 4.0 | 6,300–7,400 | 5,984 | 87.3 | 4.0 | 81.0–94.7 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Los Angeles County | 54,300 | 1.4 | 52,800–55,800 | 47,840 | 88.1 | 1.4 | 85.7 | 54,900 | 1.4 | 53,400–56,400 | 48,646 | 88.6 | 1.4 | 86.2–91.1 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Orange County | 8,100 | 3.6 | 7,600–8,700 | 6,719 | 82.5 | 3.6 | 77.0 | 8,200 | 3.7 | 7,600–8,800 | 6,824 | 82.8 | 3.7 | 77.3–89.3 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Riverside County | 9,600 | 2.6 | 9,100–10,100 | 8,455 | 88.4 | 2.6 | 84.1 | 10,100 | 2.6 | 9,600–10,600 | 9,000 | 88.8 | 2.6 | 84.6–93.5 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Sacramento County | 5,000 | 4.3 | 4,500–5,400 | 4,173 | 84.1 | 4.3 | 77.5 | 5,100 | 4.3 | 4,700–5,600 | 4,303 | 83.8 | 4.4 | 77.3–91.6 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
San Bernardino County | 5,300 | 4.3 | 4,800–5,700 | 4,092 | 77.4 | 4.3 | 71.3 | 5,600 | 4.2 | 5,200–6,100 | 4,422 | 78.7 | 4.3 | 72.7–85.8 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
San Diego County | 14,900 | 2.6 | 14,100–15,600 | 12,848 | 86.4 | 2.6 | 82.2 | 15,100 | 2.6 | 14,300–15,900 | 13,032 | 86.3 | 2.6 | 82.1–90.9 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
San Francisco County | 12,800 | 3.4 | 12,300–13,700 | 12,279 | 95.6 | 2.8 | 89.7 | 12,600 | 3.5 | 12,100–13,400 | 12,093 | 96.2 | 2.7 | 90.0–100 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
District of Columbia | 15,100 | 2.7 | 14,300–15,900 | 14,039 | 93.0 | 2.7 | 88.4 | 14,900 | 2.7 | 14,100–15,700 | 13,917 | 93.2 | 2.7 | 88.5–98.5 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Florida | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Broward County | 21,400 | 2.1 | 20,600–22,300 | 19,045 | 88.8 | 2.1 | 85.3 | 21,700 | 2.1 | 20,800–22,600 | 19,334 | 89.2 | 2.1 | 85.6–93.1 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Duval County | 7,100 | 3.9 | 6,500–7,600 | 5,834 | 82.4 | 3.9 | 76.6 | 7,200 | 3.9 | 6,700–7,800 | 6,018 | 83.1 | 3.9 | 77.2–90.0 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Hillsborough County | 7,900 | 3.6 | 7,300–8,500 | 6,628 | 83.8 | 3.7 | 78.2 | 8,000 | 3.7 | 7,500–8,600 | 6,775 | 84.2 | 3.7 | 78.5–90.8 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Miami-Dade County | 29,500 | 2.0 | 28,400–30,700 | 25,649 | 86.8 | 2.0 | 83.5 | 29,800 | 2.0 | 28,600–31,000 | 25,960 | 87.1 | 2.0 | 83.8–90.7 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Orange County | 10,100 | 3.2 | 9,500–10,700 | 8,298 | 82.3 | 3.2 | 77.5 | 10,300 | 3.2 | 9,700–11,000 | 8,555 | 83.0 | 3.2 | 78.1–88.6 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Palm Beach County | 8,900 | 3.6 | 8,300–9,600 | 7,724 | 86.6 | 3.6 | 80.9 | 9,000 | 3.7 | 8,300–9,600 | 7,779 | 86.8 | 3.7 | 81.0–93.5 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Pinellas County | 5,200 | 4.3 | 4,800–5,700 | 4,488 | 85.8 | 4.3 | 79.2 | 5,200 | 4.4 | 4,800–5,700 | 4,524 | 86.5 | 4.4 | 79.7–94.7 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Georgia | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Cobb County | 3,700 | 4.6 | 3,400–4,000 | 2,994 | 80.9 | 4.7 | 74.1 | 3,900 | 4.7 | 3,500–4,200 | 3,162 | 81.7 | 4.7 | 74.8–89.9 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DeKalb County | 9,600 | 3.1 | 9,000–10,200 | 8,108 | 84.1 | 3.2 | 79.3 | 10,000 | 3.1 | 9,400–10,600 | 8,455 | 84.4 | 3.2 | 79.5–89.9 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Fulton County | 16,800 | 2.4 | 16,000–17,600 | 14,230 | 84.9 | 2.4 | 81.1 | 17,600 | 2.4 | 16,800–18,400 | 15,043 | 85.5 | 2.4 | 81.7–89.6 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Gwinnett County | 3,400 | 4.5 | 3,100–3,700 | 2,716 | 79.4 | 4.5 | 73.0 | 3,500 | 4.6 | 3,200–3,900 | 2,843 | 80.2 | 4.6 | 73.6–88.1 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Illinois | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Cook County | 28,300 | 2.0 | 27,200–29,400 | 24,537 | 86.6 | 2.0 | 83.3 | 28,500 | 2.0 | 27,400–29,700 | 24,833 | 87.1 | 2.0 | 83.7–90.7 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Indiana | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Marion County | 5,300 | 4.2 | 4,900–5,700 | 4,475 | 84.6 | 4.2 | 78.1 | 5,400 | 4.2 | 5,000–5,900 | 4,605 | 84.7 | 4.3 | 78.2–92.3 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Louisiana | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
East Baton Rouge Parish | 4,500 | 4.8 | 4,000–4,900 | 3,788 | 84.9 | 4.8 | 77.6 | 4,500 | 4.9 | 4,100–5,000 | 3,852 | 85.1 | 4.9 | 77.7–94.1 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Orleans Parish | 5,300 | 5.1 | 4,800–5,900 | 4,729 | 88.5 | 5.1 | 80.5 | 5,400 | 5.1 | 4,900–5,900 | 4,822 | 89.1 | 5.1 | 81.1–99.0 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Maryland | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Baltimore City | 11,800 | 3.3 | 11,000–12,500 | 10,855 | 92.2 | 3.3 | 86.5 | 10,900 | 3.6 | 10,200–11,700 | 10,034 | 91.8 | 3.7 | 85.6–98.8 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Montgomery County | 4,200 | 4.7 | 3,900–4,600 | 3,770 | 88.8 | 4.8 | 81.2 | 4,300 | 4.8 | 3,900–4,700 | 3,829 | 89.6 | 4.9 | 81.9–98.9 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Prince George’s County | 8,800 | 3.3 | 8,200–9,400 | 7,579 | 86.0 | 3.3 | 80.9 | 9,000 | 3.3 | 8,400–9,600 | 7,839 | 86.9 | 3.3 | 81.7–92.9 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Massachusetts | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Suffolk County | 6,100 | 4.2 | 5,700–6,600 | 5,671 | 93.1 | 3.8 | 86.0 | 6,000 | 4.3 | 5,600–6,500 | 5,620 | 93.4 | 3.8 | 86.2–100 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Michigan | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Wayne County | 7,500 | 4.1 | 6,900–8,100 | 6,357 | 84.8 | 4.2 | 78.4 | 7,800 | 4.1 | 7,100–8,400 | 6,656 | 85.8 | 4.1 | 79.4–93.3 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Nevada | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Clark County | 9,800 | 3.0 | 9,200–10,400 | 7,935 | 80.9 | 3.0 | 76.4 | 10,400 | 3.0 | 9,800–11,000 | 8,448 | 81.3 | 3.0 | 76.8–86.3 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
New Jersey | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Essex Countyc | 9,900 | 3.9 | 9,100–10,600 | 8,879 | 89.7 | 3.9 | 83.4 | 9,800 | 4.0 | 9,100–10,600 | 8,843 | 90.1 | 4.0 | 83.6–97.7 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Hudson Countyc | 5,400 | 5.1 | 4,900–6,000 | 4,752 | 87.2 | 5.2 | 79.3 | 5,500 | 5.2 | 4,900–6,000 | 4,768 | 87.5 | 5.3 | 79.4–97.4 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
New York | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Bronx County | 28,300 | 1.8 | 27,300–29,300 | 26,493 | 93.6 | 1.8 | 90.5 | 28,400 | 1.8 | 27,400–29,400 | 26,690 | 93.9 | 1.8 | 90.7–97.3 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Kings County | 27,700 | 2.0 | 26,600–28,800 | 25,567 | 92.4 | 2.0 | 88.9 | 27,700 | 2.0 | 26,600–28,800 | 25,727 | 92.8 | 2.0 | 89.2–96.6 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
New York County | 28,200 | 2.1 | 27,000–29,300 | 26,536 | 94.2 | 2.1 | 90.5 | 28,100 | 2.1 | 26,900–29,300 | 26,527 | 94.4 | 2.1 | 90.6–98.6 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Queens County | 16,900 | 2.5 | 16,100–17,800 | 15,303 | 90.4 | 2.5 | 86.2 | 17,100 | 2.5 | 16,200–17,900 | 15,528 | 91.0 | 2.5 | 86.8–95.7 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
North Carolina | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Mecklenburg County | 6,500 | 3.8 | 6,000–7,000 | 5,598 | 85.9 | 3.8 | 80.0 | 6,700 | 3.7 | 6,200–7,200 | 5,800 | 86.3 | 3.8 | 80.4–93.1 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Ohio | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Cuyahoga County | 5,300 | 4.2 | 4,900–5,700 | 4,557 | 86.0 | 4.2 | 79.5 | 5,400 | 4.2 | 4,900–5,800 | 4,670 | 86.6 | 4.3 | 80.0–94.5 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Franklin County | 5,500 | 4.1 | 5,100–6,000 | 4,704 | 85.0 | 4.1 | 78.7 | 5,600 | 4.1 | 5,100–6,000 | 4,758 | 85.1 | 4.2 | 78.7–92.6 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Hamilton County | 3,600 | 5.1 | 3,200–3,900 | 2,856 | 80.1 | 5.2 | 72.7 | 3,600 | 5.3 | 3,200–3,900 | 2,889 | 81.2 | 5.4 | 73.5–90.7 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Pennsylvania | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Philadelphia County | 18,300 | 2.4 | 17,400–19,100 | 16,746 | 91.7 | 2.4 | 87.6 | 18,200 | 2.4 | 17,300–19,000 | 16,688 | 91.8 | 2.4 | 87.7–96.4 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Puerto Rico | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
San Juan Municipioc | 3,600 | 7.1 | 3,200–4,100 | 3,207 | 89.0 | 6.3 | 78.0 | 3,600 | 7.2 | 3,200–4,100 | 3,248 | 90.0 | 6.0 | 78.8–100 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Tennessee | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Shelby County | 7,100 | 3.8 | 6,500–7,600 | 6,031 | 85.2 | 3.9 | 79.2 | 7,300 | 3.8 | 6,800–7,800 | 6,291 | 86.2 | 3.8 | 80.2–93.1 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Texas | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Bexar County | 7,300 | 3.6 | 6,800–7,900 | 6,074 | 82.7 | 3.7 | 77.2 | 7,500 | 3.7 | 7,000–8,100 | 6,253 | 83.2 | 3.7 | 77.6–89.7 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Dallas County | 20,800 | 2.2 | 19,900–21,700 | 17,319 | 83.2 | 2.2 | 79.8 | 21,500 | 2.2 | 20,600–22,400 | 17,966 | 83.6 | 2.2 | 80.2–87.3 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Harris County | 29,700 | 1.9 | 28,600–30,700 | 24,623 | 83.0 | 1.9 | 80.1 | 30,400 | 1.9 | 29,200–31,500 | 25,422 | 83.7 | 1.9 | 80.7–86.9 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Tarrant County | 6,600 | 3.7 | 6,100–7,100 | 5,405 | 81.7 | 3.7 | 76.1 | 6,900 | 3.7 | 6,300–7,400 | 5,636 | 82.3 | 3.8 | 76.6–88.8 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Travis County | 5,600 | 4.2 | 5,200–6,100 | 4,693 | 83.4 | 4.2 | 77.1 | 5,900 | 4.2 | 5,400–6,300 | 4,883 | 83.3 | 4.2 | 77.0–90.7 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Washington | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
King County | 7,700 | 3.7 | 7,200–8,300 | 6,745 | 87.1 | 3.7 | 81.2 | 7,800 | 3.8 | 7,200–8,400 | 6,805 | 87.5 | 3.8 | 81.4–94.5 |
2019 | 2020 (COVID-19 pandemic)a | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Persons living with diagnosed or undiagnosed HIV infection | Persons living with diagnosed HIV infection | Persons living with diagnosed or undiagnosed HIV infection | Persons living with diagnosed HIV infection | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
No. | RSE | 95% CI | No.b | % | RSE | 95% CI | No. | RSE | 95% CI | No.b | % | RSE | 95% CI | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Arizona | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Maricopa County | 13,900 | 2.8 | 13,100–14,600 | 11,561 | 83.4 | 2.8 | 79.0–88.2 | 14,200 | 2.9 | 13,400–15,000 | 11,926 | 84.0 | 2.9 | 79.5–89.1 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
California | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Alameda County | 6,900 | 4.1 | 6,300–7,400 | 6,038 | 87.6 | 4.1 | 81.1–95.2 | 6,800 | 4.3 | 6,200–7,400 | 5,965 | 87.9 | 4.3 | 81.1–95.9 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Los Angeles County | 55,500 | 1.4 | 54,000–57,100 | 49,420 | 89.0 | 1.4 | 86.5–91.5 | 55,700 | 1.5 | 54,100–57,300 | 49,814 | 89.4 | 1.5 | 86.9–92.0 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Orange County | 8,300 | 3.7 | 7,700–8,900 | 6,917 | 83.2 | 3.8 | 77.5–89.8 | 8,400 | 3.8 | 7,800–9,000 | 7,034 | 83.6 | 3.9 | 77.8–90.5 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Riverside County | 10,500 | 2.6 | 10,000–11,000 | 9,367 | 89.3 | 2.6 | 85.0–94.0 | 10,800 | 2.6 | 10,300–11,400 | 9,709 | 89.5 | 2.6 | 85.1–94.4 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Sacramento County | 5,300 | 4.4 | 4,800–5,700 | 4,412 | 83.5 | 4.4 | 76.9–91.3 | 5,400 | 4.5 | 4,900–5,900 | 4,534 | 83.8 | 4.5 | 77.0–91.9 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
San Bernardino County | 5,900 | 4.3 | 5,400–6,400 | 4,692 | 79.4 | 4.3 | 73.3–86.7 | 6,000 | 4.5 | 5,500–6,600 | 4,803 | 79.7 | 4.5 | 73.3–87.4 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
San Diego County | 15,300 | 2.7 | 14,500–16,100 | 13,176 | 86.3 | 2.7 | 82.1–91.1 | 15,400 | 2.7 | 14,600–16,200 | 13,299 | 86.4 | 2.7 | 82.1–91.3 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
San Francisco County | 12,400 | 3.6 | 12,000–13,200 | 11,972 | 96.9 | 2.5 | 90.5–100 | 12,100 | 3.7 | 11,800–13,000 | 11,781 | 97.2 | 2.5 | 90.6–100 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
District of Columbia | 14,800 | 2.8 | 14,000–15,700 | 13,882 | 93.5 | 2.8 | 88.7–99.0 | 14,500 | 2.9 | 13,700–15,400 | 13,655 | 94.0 | 2.9 | 88.9–99.6 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Florida | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Broward County | 22,000 | 2.2 | 21,000–22,900 | 19,650 | 89.4 | 2.2 | 85.7–93.4 | 22,100 | 2.2 | 21,100–23,100 | 19,811 | 89.6 | 2.2 | 85.8–93.7 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Duval County | 7,300 | 4.0 | 6,700–7,900 | 6,152 | 84.1 | 4.0 | 78.0–91.2 | 7,400 | 4.1 | 6,800–8,000 | 6,266 | 84.4 | 4.1 | 78.1–91.8 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Hillsborough County | 8,200 | 3.7 | 7,600–8,800 | 6,989 | 84.8 | 3.7 | 79.1–91.4 | 8,400 | 3.8 | 7,800–9,000 | 7,176 | 85.2 | 3.8 | 79.3–92.1 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Miami-Dade County | 29,900 | 2.1 | 28,700–31,200 | 26,186 | 87.4 | 2.1 | 84.0–91.2 | 30,000 | 2.2 | 28,700–31,200 | 26,269 | 87.6 | 2.2 | 84.1–91.5 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Orange County | 10,500 | 3.3 | 9,800–11,200 | 8,759 | 83.3 | 3.3 | 78.2–89.0 | 10,600 | 3.4 | 9,900–11,400 | 8,892 | 83.5 | 3.5 | 78.2–89.5 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Palm Beach County | 9,100 | 3.7 | 8,400–9,700 | 7,864 | 86.8 | 3.7 | 80.9–93.6 | 9,200 | 3.8 | 8,500–9,900 | 7,925 | 86.3 | 3.8 | 80.3–93.3 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Pinellas County | 5,400 | 4.4 | 4,900–5,900 | 4,731 | 87.6 | 4.4 | 80.7–95.7 | 5,500 | 4.5 | 5,000–6,000 | 4,836 | 88.3 | 4.5 | 81.1–96.8 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Georgia | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Cobb County | 4,000 | 4.8 | 3,700–4,400 | 3,324 | 82.1 | 4.8 | 75.1–90.6 | 4,200 | 5.0 | 3,800–4,600 | 3,481 | 82.5 | 5.0 | 75.2–91.4 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DeKalb County | 10,400 | 3.2 | 9,700–11,000 | 8,823 | 85.1 | 3.2 | 80.1–90.7 | 10,500 | 3.3 | 9,800–11,200 | 8,964 | 85.5 | 3.3 | 80.3–91.4 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Fulton County | 18,100 | 2.4 | 17,300–19,000 | 15,572 | 85.9 | 2.4 | 82.1–90.1 | 18,500 | 2.5 | 17,600–19,400 | 15,937 | 86.1 | 2.5 | 82.2–90.5 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Gwinnett County | 3,700 | 4.7 | 3,400–4,100 | 3,039 | 81.5 | 4.8 | 74.6–89.9 | 3,800 | 5.0 | 3,400–4,200 | 3,177 | 83.2 | 5.0 | 75.8–92.2 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Illinois | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Cook County | 29,100 | 2.0 | 27,900–30,200 | 25,486 | 87.6 | 2.0 | 84.3–91.3 | 29,200 | 2.1 | 28,000–30,400 | 25,639 | 87.8 | 2.1 | 84.3–91.6 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Indiana | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Marion County | 5,500 | 4.4 | 5,000–5,900 | 4,605 | 84.2 | 4.4 | 77.6–92.2 | 5,600 | 4.5 | 5,100–6,100 | 4,726 | 84.2 | 4.6 | 77.3–92.4 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Louisiana | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
East Baton Rouge Parish | 4,600 | 5.0 | 4,100–5,000 | 3,886 | 85.0 | 5.1 | 77.4–94.3 | 4,700 | 5.0 | 4,200–5,200 | 4,051 | 86.0 | 5.1 | 78.3–95.4 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Orleans Parish | 5,500 | 5.1 | 4,900–6,000 | 4,913 | 89.8 | 5.2 | 81.6–99.8 | 5,400 | 5.3 | 4,900–6,000 | 4,886 | 89.9 | 5.2 | 81.5–100 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Maryland | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Baltimore City | 10,900 | 3.7 | 10,100–11,700 | 10,025 | 92.3 | 3.7 | 86.0–99.5 | 10,500 | 3.9 | 9,700–11,300 | 9,725 | 92.2 | 3.9 | 85.7–99.8 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Montgomery County | 4,300 | 4.9 | 3,900–4,700 | 3,868 | 90.4 | 5.0 | 82.4–100 | 4,200 | 5.1 | 3,800–4,600 | 3,825 | 90.7 | 4.9 | 82.4–100 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Prince George’s County | 9,100 | 3.4 | 8,500–9,700 | 7,929 | 87.5 | 3.4 | 82.1–93.6 | 9,000 | 3.5 | 8,400–9,600 | 7,973 | 88.3 | 3.5 | 82.7–94.7 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Massachusetts | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Suffolk County | 6,000 | 4.3 | 5,600–6,500 | 5,624 | 93.6 | 3.7 | 86.3–100 | 6,000 | 4.4 | 5,600–6,500 | 5,632 | 93.6 | 3.8 | 86.2–100 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Michigan | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Wayne County | 8,000 | 4.1 | 7,300–8,600 | 6,868 | 86.3 | 4.1 | 79.9–93.8 | 8,000 | 4.2 | 7,400–8,700 | 6,940 | 86.3 | 4.2 | 79.7–94.1 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Nevada | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Clark County | 10,900 | 3.0 | 10,200–11,500 | 8,893 | 81.8 | 3.0 | 77.2–86.9 | 11,300 | 3.2 | 10,600–12,000 | 9,252 | 81.5 | 3.2 | 76.8–86.9 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
New Jersey | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Essex Countyc | 9,800 | 4.0 | 9,000–10,600 | 8,853 | 90.4 | 4.1 | 83.8–98.2 | 9,700 | 4.2 | 8,900–10,500 | 8,768 | 90.6 | 4.2 | 83.7–98.7 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Hudson Countyc | 5,500 | 5.3 | 4,900–6,000 | 4,808 | 88.2 | 5.4 | 79.9–98.4 | 5,400 | 5.5 | 4,800–6,000 | 4,799 | 88.5 | 5.6 | 79.9–99.3 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
New York | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Bronx County | 28,700 | 1.8 | 27,700–29,700 | 27,121 | 94.4 | 1.8 | 91.2–97.8 | 28,400 | 1.8 | 27,400–29,400 | 26,797 | 94.3 | 1.8 | 91.0–97.9 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Kings County | 27,700 | 2.1 | 26,600–28,800 | 25,730 | 93.0 | 2.1 | 89.4–96.9 | 27,400 | 2.1 | 26,200–28,500 | 25,541 | 93.3 | 2.1 | 89.6–97.4 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
New York County | 27,800 | 2.2 | 26,600–29,000 | 26,340 | 94.6 | 2.2 | 90.7–98.8 | 27,400 | 2.2 | 26,200–28,600 | 25,945 | 94.7 | 2.2 | 90.7–99.0 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Queens County | 17,200 | 2.5 | 16,300–18,000 | 15,728 | 91.7 | 2.5 | 87.3–96.5 | 17,100 | 2.6 | 16,200–17,900 | 15,716 | 92.1 | 2.6 | 87.6–97.0 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
North Carolina | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Mecklenburg County | 7,000 | 3.8 | 6,500–7,500 | 6,023 | 86.4 | 3.8 | 80.5–93.3 | 7,100 | 3.9 | 6,500–7,600 | 6,127 | 86.7 | 3.9 | 80.5–93.8 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Ohio | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Cuyahoga County | 5,400 | 4.3 | 5,000–5,900 | 4,752 | 87.3 | 4.3 | 80.5–95.3 | 5,500 | 4.4 | 5,000–6,000 | 4,850 | 87.7 | 4.4 | 80.8–96.0 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Franklin County | 5,800 | 4.1 | 5,300–6,300 | 4,991 | 85.8 | 4.2 | 79.3–93.4 | 5,900 | 4.2 | 5,400–6,400 | 5,132 | 86.5 | 4.3 | 79.9–94.3 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Hamilton County | 3,600 | 5.4 | 3,300–4,000 | 3,024 | 83.0 | 5.5 | 75.0–92.8 | 3,700 | 5.6 | 3,300–4,100 | 3,083 | 83.4 | 5.6 | 75.2–93.6 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Pennsylvania | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Philadelphia County | 18,300 | 2.4 | 17,400–19,200 | 16,848 | 92.1 | 2.4 | 87.9–96.7 | 18,000 | 2.5 | 17,100–18,900 | 16,651 | 92.4 | 2.5 | 88.0–97.2 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Puerto Rico | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
San Juan Municipioc | 3,700 | 7.2 | 3,300–4,200 | 3,309 | 90.4 | 5.8 | 79.3–100 | 3,700 | 7.2 | 3,400–4,200 | 3,392 | 91.3 | 5.6 | 80.0–100 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Tennessee | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Shelby County | 7,400 | 3.9 | 6,800–7,900 | 6,332 | 86.0 | 3.9 | 79.9–93.2 | 7,200 | 4.1 | 6,600–7,800 | 6,246 | 86.7 | 4.1 | 80.3–94.4 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Texas | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Bexar County | 7,800 | 3.7 | 7,200–8,400 | 6,500 | 83.3 | 3.8 | 77.6–89.9 | 8,100 | 3.9 | 7,500–8,700 | 6,727 | 83.3 | 3.9 | 77.4–90.2 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Dallas County | 21,900 | 2.2 | 21,000–22,900 | 18,499 | 84.4 | 2.2 | 80.9–88.2 | 22,300 | 2.3 | 21,300–23,300 | 18,953 | 84.9 | 2.3 | 81.3–88.8 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Harris County | 31,200 | 1.9 | 20,100–32,400 | 26,367 | 84.4 | 1.9 | 81.3–87.7 | 31,800 | 2.0 | 30,500–33,000 | 26,897 | 84.7 | 2.0 | 81.5–88.1 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Tarrant County | 7,200 | 3.8 | 6,600–7,700 | 5,882 | 82.1 | 3.8 | 76.4–88.7 | 7,400 | 3.9 | 6,900–8,000 | 6,144 | 82.6 | 4.0 | 76.6–89.5 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Travis County | 6,000 | 4.2 | 5,500–6,500 | 5,024 | 83.7 | 4.3 | 77.3–91.2 | 6,100 | 4.3 | 5,600–6,600 | 5,138 | 84.3 | 4.4 | 77.7–92.1 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Washington | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
King County | 7,900 | 3.9 | 7,300–8,500 | 6,969 | 88.0 | 3.9 | 81.8–95.2 | 8,000 | 4.0 | 7,300–8,600 | 7,024 | 88.1 | 4.0 | 81.7–95.6 |
2021a | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Persons living with diagnosed or undiagnosed HIV infection | Persons living with diagnosed HIV infection | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
No. | RSE | 95% CI | No.b | % | RSE | 95% CI | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Arizona | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Maricopa County | 14,500 | 3.0 | 13,700–15,400 | 12,286 | 84.6 | 3.0 | 79.8–89.9 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
California | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Alameda County | 6,800 | 4.4 | 6,200–7,300 | 5,950 | 88.0 | 4.5 | 81.0–96.4 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Los Angeles County | 55,800 | 1.5 | 54,200–57,500 | 50,182 | 89.9 | 1.5 | 87.3–92.7 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Orange County | 8,500 | 3.9 | 7,900–9,200 | 7,181 | 84.2 | 4.0 | 78.1–91.3 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Riverside County | 11,200 | 2.7 | 10,600–11,800 | 10,089 | 90.0 | 2.7 | 85.5–94.9 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Sacramento County | 5,400 | 4.6 | 4,900–5,900 | 4,610 | 84.8 | 4.7 | 77.7–93.3 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
San Bernardino County | 6,200 | 4.6 | 5,600–6,800 | 5,009 | 80.6 | 4.7 | 73.9–88.7 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
San Diego County | 15,600 | 2.8 | 14,700–16,400 | 13,442 | 86.3 | 2.8 | 81.8–91.3 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
San Francisco County | 11,900 | 3.8 | 11,600–12,800 | 11,601 | 97.5 | 2.4 | 90.7–100 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
District of Columbia | 14,300 | 3.0 | 13,500–15,200 | 13,504 | 94.2 | 3.0 | 89.0–100 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Florida | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Broward County | 22,400 | 2.3 | 21,400–23,400 | 20,137 | 90.0 | 2.3 | 86.1–94.2 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Duval County | 7,500 | 4.2 | 6,900–8,100 | 6,413 | 85.3 | 4.3 | 78.8–93.0 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Hillsborough County | 8,500 | 3.9 | 7,900–9,200 | 7,379 | 86.7 | 3.9 | 80.6–93.8 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Miami-Dade County | 30,500 | 2.2 | 29,200–31,800 | 26,875 | 88.1 | 2.2 | 84.4–92.0 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Orange County | 11,100 | 3.5 | 10,300–11,800 | 9,252 | 83.7 | 3.5 | 78.3–89.9 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Palm Beach County | 9,300 | 3.9 | 8,500–10,000 | 8,034 | 86.8 | 3.9 | 80.7–94.0 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Pinellas County | 5,500 | 4.6 | 5,000–6,000 | 4,895 | 88.9 | 4.6 | 81.5–97.7 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Georgia | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Cobb County | 4,300 | 5.1 | 3,900–4,800 | 3,623 | 83.8 | 5.2 | 76.1–93.1 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DeKalb County | 10,600 | 3.5 | 9,800–11,300 | 9,064 | 85.8 | 3.5 | 80.4–92.0 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Fulton County | 18,900 | 2.5 | 17,900–19,800 | 16,290 | 86.3 | 2.6 | 82.2–90.9 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Gwinnett County | 3,900 | 5.2 | 3,500–4,300 | 3,315 | 84.6 | 5.3 | 76.7–94.3 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Illinois | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Cook County | 29,000 | 2.2 | 27,800–30,300 | 25,493 | 87.9 | 2.2 | 84.3–91.9 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Indiana | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Marion County | 5,800 | 4.6 | 5,300–6,300 | 4,927 | 84.8 | 4.7 | 77.7–93.2 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Louisiana | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
East Baton Rouge Parish | 4,700 | 5.2 | 4,200–5,200 | 4,086 | 86.7 | 5.2 | 78.7–96.5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Orleans Parish | 5,400 | 5.5 | 4,800–5,900 | 4,822 | 90.0 | 5.3 | 81.3–100 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Maryland | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Baltimore City | 10,900 | 3.8 | 10,100–11,700 | 10,109 | 92.5 | 3.8 | 86.1–100 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Montgomery County | 4,300 | 5.2 | 3,900–4,700 | 3,889 | 91.3 | 4.8 | 82.9–100 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Prince George’s County | 9,000 | 3.6 | 8,400–9,600 | 7,959 | 88.5 | 3.6 | 82.7–95.3 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Massachusetts | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Suffolk County | 6,000 | 4.5 | 5,600–6,500 | 5,594 | 93.6 | 3.8 | 86.1–100 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Michigan | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Wayne County | 8,300 | 4.2 | 7,600–8,900 | 7,180 | 87.0 | 4.3 | 80.3–94.9 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Nevada | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Clark County | 11,700 | 3.3 | 11,000–12,500 | 9,630 | 82.0 | 3.3 | 77.0–87.7 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
New Jersey | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Essex Countyc | 9,700 | 4.3 | 8,800–10,500 | 8,723 | 90.2 | 4.4 | 83.2–98.6 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Hudson Countyc | 5,500 | 5.5 | 4,900–6,100 | 4,884 | 88.7 | 5.6 | 80.0–99.5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
New York | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Bronx County | 28,100 | 1.9 | 27,100–29,200 | 26,554 | 94.4 | 1.9 | 91.0–98.0 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Kings County | 27,300 | 2.2 | 26,100–28,400 | 25,538 | 93.6 | 2.2 | 89.8–97.7 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
New York County | 27,200 | 2.3 | 26,000–28,400 | 25,805 | 94.8 | 2.3 | 90.8–99.3 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Queens County | 17,200 | 2.6 | 16,300–18,100 | 15,909 | 92.5 | 2.6 | 88.0–97.6 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
North Carolina | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Mecklenburg County | 7,100 | 4.0 | 6,600–7,700 | 6,227 | 87.6 | 4.0 | 81.2–95.0 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Ohio | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Cuyahoga County | 5,600 | 4.6 | 5,100–6,100 | 4,923 | 88.0 | 4.6 | 80.8–96.6 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Franklin County | 6,000 | 4.4 | 5,500–6,500 | 5,214 | 87.1 | 4.4 | 80.2–95.3 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Hamilton County | 3,700 | 5.7 | 3,300–4,100 | 3,135 | 84.1 | 5.8 | 75.5–94.7 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Pennsylvania | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Philadelphia County | 17,900 | 2.6 | 17,000–18,800 | 16,546 | 92.6 | 2.6 | 88.1–97.6 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Puerto Rico | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
San Juan Municipioc | 3,900 | 6.9 | 3,600–4,500 | 3,622 | 92.3 | 5.2 | 81.3–100 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Tennessee | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Shelby County | 7,400 | 4.2 | 6,800–8,000 | 6,482 | 87.8 | 4.2 | 81.2–95.6 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Texas | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Bexar County | 8,200 | 4.0 | 7,600–8,900 | 6,875 | 83.7 | 4.1 | 77.5–90.9 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Dallas County | 22,900 | 2.3 | 21,800–23,900 | 19,505 | 85.3 | 2.4 | 81.6–89.4 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Harris County | 32,400 | 2.0 | 33,700–27,585 | 27,585 | 85.2 | 2.0 | 81.9–88.7 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Tarrant County | 7,700 | 4.1 | 8,300–6,346 | 6,346 | 82.7 | 4.1 | 76.5–89.9 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Travis County | 6,200 | 4.5 | 6,700–5,229 | 5,229 | 84.9 | 4.6 | 78.0–93.1 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Washington | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
King County | 8,100 | 4.1 | 8,700–7,127 | 7,127 | 88.4 | 4.1 | 81.8–96.2 |
Abbreviations: RSE, relative standard error; CI, confidence interval; CD4, CD4+ T-lymphocyte count (cells/μL) or percentage [footnotes only].
Note. Estimates for the year 2021 data are preliminary and based on deaths reported to CDC as of December 2022. Estimates derived by using HIV surveillance data and CD4 data for persons aged ≥ 13 years at diagnosis.
Estimates rounded to the nearest 100 for estimates > 1,000 and to the nearest 10 for estimates ≤ 1,000 to reflect the uncertainty.
a Estimates for years 2020 and 2021 should be interpreted with caution due to adjustments made to the monthly distribution of reported diagnoses during those years to account for the impact of COVID-19 on HIV testing and diagnosis in the United States. See Technical Notes of Estimated HIV Incidence and Prevalence in the United States, 2017‒2021 for more information.
b Reported to the National HIV Surveillance System.
c Estimates should be interpreted with caution because the jurisdiction does not have laws requiring complete reporting of laboratory data or has incomplete reporting. Areas without laws: Idaho. Areas with incomplete reporting: New Jersey, Pennsylvania (excluding Philadelphia), and Puerto Rico.
2017 | 2018 | 2019 | 2020 (COVID-19 pandemic)a | 2021 | 2022 (preliminary)b | |
---|---|---|---|---|---|---|
No. | No. | No. | No. | No. | No. | |
Gender | ||||||
Male | 30,398 | 29,563 | 28,779 | 24,148 | 28,283 | 26,095 |
Female | 7,229 | 7,008 | 6,873 | 5,387 | 6,522 | 6,018 |
Transgender womanc | 651 | 661 | 692 | 676 | 811 | 639 |
Transgender manc | 32 | 48 | 45 | 41 | 56 | 42 |
Additional gender identityd | 18 | 19 | 32 | 23 | 44 | 52 |
Age at diagnosis (yr) | ||||||
13–24 | 8,297 | 7,865 | 7,660 | 6,125 | 6,927 | 5,961 |
25–34 | 13,400 | 13,346 | 13,027 | 11,279 | 13,081 | 12,211 |
35–44 | 7,235 | 7,150 | 7,048 | 5,874 | 7,543 | 7,289 |
45–54 | 5,563 | 5,194 | 4,874 | 3,872 | 4,442 | 3,991 |
≥ 55 | 3,833 | 3,744 | 3,812 | 3,125 | 3,723 | 3,394 |
Race/ethnicity | ||||||
American Indian/Alaska Native | 193 | 170 | 193 | 189 | 223 | 186 |
Asian | 911 | 844 | 722 | 610 | 737 | 707 |
Black/African American | 16,107 | 15,593 | 15,296 | 12,643 | 14,522 | 13,214 |
Hispanic/Latinoe | 9,995 | 9,921 | 9,851 | 8,037 | 10,059 | 9,835 |
Native Hawaiian/other Pacific Islander | 46 | 57 | 59 | 63 | 76 | 75 |
White | 9,543 | 9,323 | 8,985 | 7,732 | 9,058 | 8,190 |
Multiracial | 1,533 | 1,391 | 1,315 | 1,001 | 1,041 | 639 |
Transmission categoryf | ||||||
Male-to-male sexual contactg | 25,345 | 24,464 | 23,870 | 20,460 | 23,855 | 22,362 |
Injection drug useh | ||||||
Male | 1,291 | 1,376 | 1,362 | 1,170 | 1,415 | 1,231 |
Female | 1,109 | 1,117 | 1,182 | 895 | 1,075 | 1,002 |
Male-to-male sexual contactg and injection drug useh | 1,517 | 1,531 | 1,581 | 1,185 | 1,373 | 1,055 |
Heterosexual contacti | ||||||
Male | 2,882 | 2,839 | 2,643 | 2,006 | 2,460 | 2,097 |
Female | 6,106 | 5,892 | 5,695 | 4,494 | 5,456 | 4,991 |
Region of residence | ||||||
Northeast | 5,988 | 5,552 | 5,317 | 4,241 | 4,988 | 4,221 |
Midwest | 5,099 | 4,941 | 4,767 | 4,106 | 4,815 | 4,284 |
South | 19,645 | 19,225 | 18,950 | 15,537 | 18,703 | 17,957 |
West | 7,596 | 7,581 | 7,387 | 6,391 | 7,210 | 6,384 |
Totalj | 38,328 | 37,299 | 36,421 | 30,275 | 35,716 | 32,846 |
Abbreviation: CDC, the Centers for Disease Control and Prevention [footnotes only].
Note. Data are for cases reported to CDC through December 2022.
a Data for the year 2020 should be interpreted with caution due to the impact of the COVID-19 pandemic on HIV access to HIV testing, care-related services, and case surveillance activities in state/local jurisdictions.
b Data for the year 2022 are considered preliminary until a 12-month reporting delay has been reached and should be interpreted with caution.
c “Transgender woman” includes individuals who were assigned “male” sex at birth but have ever identified as “female” gender. “Transgender man” includes individuals who were assigned “female” sex at birth but have ever identified as “male” gender.
d Additional gender identity examples include “bigender,” “gender queer,” and “two-spirit.”
e Hispanic/Latino persons can be of any race.
f Transmission category is classified based on a hierarchy of the risk factors most likely responsible for HIV transmission; classification is determined based on the person’s assigned sex at birth. Data have been statistically adjusted to account for missing transmission category; therefore, values may not sum to column total.
g Includes individuals assigned male sex at birth, regardless of current gender identity, who have had sexual contact with other males, and individuals assigned male sex at birth who have had sexual contact with both males and females (i.e., bisexual contact).
h Includes persons who injected nonprescription drugs or who injected prescription drugs for nonmedical purposes. Also includes injection of drugs prescribed to persons if there is evidence that injection equipment was shared (e.g., syringes, needles, cookers).
i Heterosexual contact with a person known to have, or with a risk factor for, HIV infection.
j Includes persons with other risk factors, including hemophilia, blood transfusion, and risk factor not reported or not identified. Data not displayed because the numbers were too small to be meaningful.
2017 | 2018 | 2019 | 2020 (COVID-19 pandemic)a | 2021 | 2022 (preliminary)b | |
---|---|---|---|---|---|---|
No. | No. | No. | No. | No. | No. | |
Gender | ||||||
Male | 30,765 | 29,941 | 29,118 | 24,409 | 28,620 | 26,374 |
Female | 7,323 | 7,089 | 6,956 | 5,433 | 6,604 | 6,077 |
Transgender womanc | 653 | 665 | 694 | 679 | 812 | 640 |
Transgender manc | 32 | 48 | 45 | 41 | 56 | 42 |
Additional gender identityd | 18 | 19 | 32 | 23 | 44 | 52 |
Age at diagnosis (yr) | ||||||
13–24 | 8,376 | 7,948 | 7,724 | 6,177 | 6,987 | 6,006 |
25–34 | 13,523 | 13,482 | 13,145 | 11,361 | 13,204 | 12,326 |
35–44 | 7,323 | 7,227 | 7,126 | 5,940 | 7,634 | 7,354 |
45–54 | 5,655 | 5,289 | 4,943 | 3,926 | 4,519 | 4,046 |
≥ 55 | 3,914 | 3,816 | 3,907 | 3,181 | 3,792 | 3,453 |
Race/ethnicity | ||||||
American Indian/Alaska Native | 193 | 170 | 193 | 189 | 223 | 186 |
Asian | 914 | 848 | 729 | 610 | 738 | 707 |
Black/African American | 16,112 | 15,605 | 15,304 | 12,650 | 14,528 | 13,218 |
Hispanic/Latinoe | 10,441 | 10,359 | 10,250 | 8,338 | 10,467 | 10,165 |
Native Hawaiian/other Pacific Islander | 49 | 59 | 63 | 64 | 76 | 75 |
White | 9,547 | 9,329 | 8,991 | 7,733 | 9,063 | 8,195 |
Multiracial | 1,535 | 1,392 | 1,315 | 1,001 | 1,041 | 639 |
Transmission categoryf | ||||||
Male-to-male sexual contactg | 25,587 | 24,742 | 24,110 | 20,660 | 24,107 | 22,565 |
Injection drug useh | ||||||
Male | 1,325 | 1,401 | 1,385 | 1,189 | 1,436 | 1,255 |
Female | 1,118 | 1,120 | 1,188 | 898 | 1,077 | 1,007 |
Male-to-male sexual contactg and injection drug useh | 1,529 | 1,542 | 1,595 | 1,190 | 1,375 | 1,059 |
Heterosexual contacti | ||||||
Male | 2,963 | 2,906 | 2,709 | 2,046 | 2,523 | 2,146 |
Female | 6,190 | 5,970 | 5,773 | 4,536 | 5,536 | 5,045 |
Region of residence | ||||||
Northeast | 5,988 | 5,552 | 5,317 | 4,241 | 4,988 | 4,221 |
Midwest | 5,099 | 4,941 | 4,767 | 4,106 | 4,815 | 4,284 |
South | 19,645 | 19,225 | 18,950 | 15,537 | 18,703 | 17,957 |
West | 7,596 | 7,581 | 7,387 | 6,391 | 7,210 | 6,384 |
U.S. dependent areas | 463 | 463 | 424 | 310 | 420 | 339 |
Totalj | 38,791 | 37,762 | 36,845 | 30,585 | 36,136 | 33,185 |
Abbreviation: CDC, the Centers for Disease Control and Prevention [footnotes only].
Note. Data are for cases reported to CDC through December 2022.
a Data for the year 2020 should be interpreted with caution due to the impact of the COVID-19 pandemic on HIV access to HIV testing, care-related services, and case surveillance activities in state/local jurisdictions.
b Data for the year 2022 are considered preliminary until a 12-month reporting delay has been reached and should be interpreted with caution.
c “Transgender woman” includes individuals who were assigned “male” sex at birth but have ever identified as “female” gender. “Transgender man” includes individuals who were assigned “female” sex at birth but have ever identified as “male” gender.
d Additional gender identity examples include “bigender,” “gender queer,” and “two-spirit.
e Hispanic/Latino persons can be of any race.
f Transmission category is classified based on a hierarchy of the risk factors most likely responsible for HIV transmission; classification is determined based on the person’s assigned sex at birth. Data have been statistically adjusted to account for missing transmission category; therefore, values may not sum to column total.
g Includes individuals assigned male sex at birth, regardless of current gender identity, who have had sexual contact with other males, and individuals assigned male sex at birth who have had sexual contact with both males and females (i.e., bisexual contact).
h Includes persons who injected nonprescription drugs or who injected prescription drugs for nonmedical purposes. Also includes injection of drugs prescribed to persons if there is evidence that injection equipment was shared (e.g., syringes, needles, cookers).
i Heterosexual contact with a person known to have, or with a risk factor for, HIV infection.
j Includes persons with other risk factors, including hemophilia, blood transfusion, and risk factor not reported or not identified. Data not displayed because the numbers were too small to be meaningful.
2017 | 2018 | 2019 | 2020 (COVID-19 pandemic)a | 2021 | 2022 (preliminary)b | |
---|---|---|---|---|---|---|
Area of residence | No. | No. | No. | No. | No. | No. |
Alabama | 647 | 606 | 635 | 590 | 625 | 402 |
Alaska | 29 | 23 | 27 | 29 | 30 | 31 |
Arizona | 721 | 752 | 748 | 657 | 781 | 703 |
Arkansas | 285 | 283 | 289 | 245 | 338 | 330 |
California | 4,856 | 4,764 | 4,508 | 4,010 | 4,399 | 3,702 |
Colorado | 433 | 400 | 463 | 327 | 406 | 387 |
Connecticut | 274 | 258 | 213 | 171 | 233 | 188 |
Delaware | 125 | 92 | 93 | 92 | 81 | 123 |
District of Columbia | 315 | 278 | 248 | 194 | 195 | 190 |
Florida | 4,546 | 4,352 | 4,150 | 3,230 | 4,072 | 4,815 |
Georgia | 2,607 | 2,505 | 2,408 | 1,974 | 2,371 | 2,351 |
Hawaii | 76 | 72 | 63 | 50 | 65 | 47 |
Idaho | 45 | 36 | 34 | 35 | 54 | 34 |
Illinois | 1,382 | 1,379 | 1,281 | 1,081 | 1,195 | 998 |
Indiana | 514 | 514 | 484 | 430 | 528 | 557 |
Iowa | 125 | 114 | 101 | 100 | 124 | 117 |
Kansas | 119 | 155 | 132 | 140 | 154 | 124 |
Kentucky | 368 | 377 | 326 | 300 | 390 | 376 |
Louisiana | 987 | 954 | 879 | 718 | 899 | 872 |
Maine | 29 | 31 | 30 | 16 | 31 | 33 |
Maryland | 1,014 | 994 | 914 | 709 | 749 | 679 |
Massachusetts | 600 | 645 | 537 | 430 | 440 | 268 |
Michigan | 771 | 718 | 675 | 517 | 633 | 597 |
Minnesota | 278 | 288 | 276 | 230 | 297 | 251 |
Mississippi | 431 | 475 | 469 | 404 | 419 | 362 |
Missouri | 505 | 449 | 488 | 369 | 549 | 484 |
Montana | 29 | 24 | 25 | 14 | 22 | 10 |
Nebraska | 87 | 77 | 80 | 73 | 105 | 84 |
Nevada | 497 | 498 | 517 | 397 | 501 | 502 |
New Hampshire | 32 | 38 | 31 | 32 | 32 | 28 |
New Jersey | 1,110 | 1,015 | 1,084 | 799 | 1,143 | 882 |
New Mexico | 148 | 155 | 176 | 129 | 149 | 73 |
New York | 2,741 | 2,454 | 2,345 | 1,975 | 2,116 | 1,936 |
North Carolina | 1,289 | 1,180 | 1,367 | 1,079 | 1,390 | 1,274 |
North Dakota | 39 | 35 | 40 | 37 | 37 | 5 |
Ohio | 980 | 977 | 965 | 882 | 909 | 772 |
Oklahoma | 302 | 278 | 346 | 342 | 387 | 267 |
Oregon | 203 | 227 | 198 | 179 | 202 | 234 |
Pennsylvania | 1,097 | 1,018 | 994 | 753 | 913 | 834 |
Rhode Island | 85 | 75 | 72 | 52 | 68 | 48 |
South Carolina | 704 | 726 | 721 | 660 | 652 | 596 |
South Dakota | 41 | 29 | 34 | 34 | 31 | 32 |
Tennessee | 720 | 740 | 768 | 646 | 831 | 798 |
Texas | 4,363 | 4,429 | 4,350 | 3,596 | 4,363 | 3,589 |
Utah | 116 | 121 | 135 | 133 | 133 | 126 |
Vermont | 20 | 18 | 11 | 13 | 12 | 4 |
Virginia | 864 | 863 | 832 | 618 | 792 | 800 |
Washington | 433 | 497 | 480 | 417 | 461 | 525 |
West Virginia | 78 | 93 | 155 | 140 | 149 | 133 |
Wisconsin | 258 | 206 | 211 | 213 | 253 | 263 |
Wyoming | 10 | 12 | 13 | 14 | 7 | 10 |
Subtotal | 38,328 | 37,299 | 36,421 | 30,275 | 35,716 | 32,846 |
U.S. dependent areas | ||||||
American Samoa | 0 | 0 | 0 | 0 | 0 | 0 |
Guam | 6 | 7 | 11 | 1 | 0 | 0 |
Northern Mariana Islands | 1 | 1 | 2 | 0 | 0 | 0 |
Puerto Rico | 447 | 437 | 396 | 300 | 410 | 328 |
Republic of Palau | 0 | 0 | 0 | 0 | 0 | 0 |
U.S. Virgin Islands | 9 | 18 | 15 | 9 | 10 | 11 |
Subtotal | 463 | 463 | 424 | 310 | 420 | 339 |
Total | 38,791 | 37,762 | 36,845 | 30,585 | 36,136 | 33,185 |
Abbreviation: CDC, the Centers for Disease Control and Prevention [footnotes only].
Note. Data are based on residence at the time of diagnosis of HIV infection. Data are for cases reported to CDC through December 2022.
a Data for the year 2020 should be interpreted with caution due to the impact of the COVID-19 pandemic on HIV access to HIV testing, care-related services, and case surveillance activities in state/local jurisdictions.
b Data for the year 2022 are considered preliminary until a 12-month reporting delay has been reached and should be interpreted with caution.
2017 | 2018 | 2019 | 2020 (COVID-19 pandemic)a | 2021 | 2022 (preliminary)b | |
---|---|---|---|---|---|---|
No. | No. | No. | No. | No. | No. | |
Arizona | ||||||
Maricopa County | 492 | 528 | 507 | 471 | 518 | 472 |
California | ||||||
Alameda County | 204 | 201 | 219 | 159 | 185 | 193 |
Los Angeles County | 1,749 | 1,706 | 1,545 | 1,403 | 1,486 | 1,160 |
Orange County | 314 | 287 | 245 | 264 | 266 | 235 |
Riverside County | 275 | 263 | 266 | 237 | 258 | 242 |
Sacramento County | 183 | 178 | 164 | 154 | 175 | 108 |
San Bernardino County | 257 | 262 | 296 | 265 | 301 | 218 |
San Diego County | 415 | 385 | 403 | 328 | 369 | 181 |
San Francisco County | 242 | 238 | 210 | 154 | 185 | 201 |
District of Columbia | 315 | 278 | 248 | 194 | 195 | 190 |
Florida | ||||||
Broward County | 671 | 583 | 555 | 424 | 570 | 648 |
Duval County | 295 | 267 | 279 | 231 | 280 | 292 |
Hillsborough County | 300 | 284 | 256 | 237 | 294 | 309 |
Miami-Dade County | 1,140 | 1,100 | 1,056 | 736 | 937 | 1,212 |
Orange County | 465 | 441 | 442 | 358 | 416 | 452 |
Palm Beach County | 285 | 272 | 222 | 201 | 273 | 341 |
Pinellas County | 165 | 174 | 179 | 149 | 122 | 141 |
Georgia | ||||||
Cobb County | 156 | 157 | 178 | 135 | 152 | 151 |
DeKalb County | 369 | 359 | 341 | 264 | 342 | 369 |
Fulton County | 618 | 601 | 531 | 474 | 525 | 556 |
Gwinnett County | 177 | 148 | 208 | 144 | 165 | 141 |
Illinois | ||||||
Cook County | 989 | 989 | 902 | 759 | 843 | 644 |
Indiana | ||||||
Marion County | 226 | 205 | 204 | 169 | 216 | 218 |
Louisiana | ||||||
East Baton Rouge Parish | 163 | 177 | 155 | 124 | 141 | 127 |
Orleans Parish | 180 | 176 | 159 | 102 | 145 | 138 |
Maryland | ||||||
Baltimore City | 236 | 233 | 196 | 173 | 156 | 133 |
Montgomery County | 162 | 126 | 131 | 79 | 96 | 104 |
Prince George’s County | 301 | 305 | 279 | 218 | 229 | 231 |
Massachusetts | ||||||
Suffolk County | 164 | 147 | 133 | 131 | 132 | 72 |
Michigan | ||||||
Wayne County | 322 | 300 | 289 | 227 | 256 | 236 |
Nevada | ||||||
Clark County | 449 | 443 | 450 | 346 | 445 | 457 |
New Jersey | ||||||
Essex County | 309 | 259 | 229 | 200 | 266 | 183 |
Hudson County | 160 | 164 | 147 | 127 | 149 | 144 |
New York | ||||||
Bronx County | 500 | 460 | 504 | 345 | 416 | 345 |
Kings County | 635 | 550 | 474 | 443 | 441 | 405 |
New York County | 398 | 374 | 339 | 298 | 317 | 289 |
Queens County | 434 | 417 | 355 | 322 | 333 | 315 |
North Carolina | ||||||
Mecklenburg County | 267 | 237 | 269 | 208 | 278 | 251 |
Ohio | ||||||
Cuyahoga County | 148 | 151 | 159 | 183 | 164 | 124 |
Franklin County | 223 | 194 | 215 | 206 | 187 | 146 |
Hamilton County | 187 | 183 | 172 | 132 | 122 | 85 |
Pennsylvania | ||||||
Philadelphia County | 509 | 439 | 445 | 305 | 360 | 307 |
Puerto Rico | ||||||
San Juan Municipio | 112 | 104 | 89 | 77 | 99 | 95 |
Tennessee | ||||||
Shelby County | 259 | 290 | 260 | 234 | 294 | 320 |
Texas | ||||||
Bexar County | 348 | 322 | 332 | 285 | 328 | 260 |
Dallas County | 824 | 800 | 747 | 663 | 798 | 769 |
Harris County | 1,103 | 1,207 | 1,222 | 934 | 1,161 | 1,102 |
Tarrant County | 303 | 280 | 314 | 294 | 302 | 277 |
Travis County | 212 | 189 | 178 | 164 | 225 | 209 |
Washington | ||||||
King County | 212 | 287 | 242 | 199 | 218 | 285 |
Abbreviation: CDC, the Centers for Disease Control and Prevention [footnotes only].
Note. Data are based on residence at the time of diagnosis of HIV infection. Data are for cases reported to CDC through December 2022.
a Data for the year 2020 should be interpreted with caution due to the impact of the COVID-19 pandemic on HIV access to HIV testing, care-related services, and case surveillance activities in state/local jurisdictions.
b Data for the year 2022 are considered preliminary until a 12-month reporting delay has been reached and should be interpreted with caution.
2021 | 2022 (January-September, preliminary)a | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
Total diagnoses | ≥ 1 CD4 or VL tests | No CD4 or VL test | Total diagnoses | ≥ 1 CD4 or VL tests | No CD4 or VL test | |||||
No. | No. | % | No. | % | No. | No. | % | No. | % | |
Gender | ||||||||||
Male | 26,654 | 21,833 | 81.9 | 4,821 | 18.1 | 20,566 | 17,079 | 83.0 | 3,487 | 17.0 |
Female | 6,069 | 4,961 | 81.7 | 1,108 | 18.3 | 4,707 | 3,835 | 81.5 | 872 | 18.5 |
Transgender womanb | 785 | 654 | 83.3 | 131 | 16.7 | 535 | 452 | 84.5 | 83 | 15.5 |
Transgender manb | 55 | 51 | 92.7 | 4 | 7.3 | 32 | 31 | 96.9 | 1 | 3.1 |
Additional gender identityc | 43 | 36 | 83.7 | 7 | 16.3 | 39 | 38 | 97.4 | 1 | 2.6 |
Age at diagnosis (yr) | ||||||||||
13-24 | 6,561 | 5,263 | 80.2 | 1,298 | 19.8 | 4,810 | 3,953 | 82.2 | 857 | 17.8 |
25-34 | 12,337 | 10,074 | 81.7 | 2,263 | 18.3 | 9,609 | 7,959 | 82.8 | 1,650 | 17.2 |
35-44 | 7,087 | 5,824 | 82.2 | 1,263 | 17.8 | 5,727 | 4,772 | 83.3 | 955 | 16.7 |
45-54 | 4,153 | 3,462 | 83.4 | 691 | 16.6 | 3,142 | 2,597 | 82.7 | 545 | 17.3 |
>55 | 3,468 | 2,912 | 84.0 | 556 | 16.0 | 2,591 | 2,154 | 83.1 | 437 | 16.9 |
Race/ethnicity | ||||||||||
American Indian/Alaska Native | 220 | 182 | 82.7 | 38 | 17.3 | 156 | 122 | 78.2 | 34 | 21.8 |
Asian | 699 | 608 | 87.0 | 91 | 13.0 | 571 | 510 | 89.3 | 61 | 10.7 |
Black/African American | 13,650 | 10,889 | 79.8 | 2,761 | 20.2 | 10,422 | 8,316 | 79.8 | 2,106 | 20.2 |
Hispanic/Latinod | 9,416 | 7,958 | 84.5 | 1,458 | 15.5 | 7,730 | 6,695 | 86.6 | 1,035 | 13.4 |
Native Hawaiian/other Pacific Islander | 74 | 59 | 79.7 | 15 | 20.3 | 61 | 47 | 77.0 | 14 | 23.0 |
White | 8,580 | 7,048 | 82.1 | 1,532 | 17.9 | 6,409 | 5,310 | 82.9 | 1,099 | 17.1 |
Multiracial | 967 | 791 | 81.8 | 176 | 18.2 | 530 | 435 | 82.1 | 95 | 17.9 |
Transmission categorye | ||||||||||
Male-to-male sexual contactf | 22,659 | 18,717 | 82.6 | 3,942 | 17.4 | 17,730 | 14,833 | 83.7 | 2,898 | 16.3 |
Injection drug useg | 2,326 | 1,757 | 75.5 | 569 | 24.5 | 1,715 | 1,327 | 77.4 | 388 | 22.6 |
Male | 1,311 | 975 | 74.3 | 337 | 25.7 | 928 | 710 | 76.6 | 217 | 23.4 |
Female | 1,015 | 783 | 77.1 | 232 | 22.9 | 787 | 617 | 78.4 | 170 | 21.6 |
Male-to-male sexual contactf and injection drug useg | 1,301 | 1,026 | 78.8 | 276 | 21.2 | 866 | 705 | 81.4 | 161 | 18.6 |
Heterosexual contacth | 7,244 | 5,972 | 82.4 | 1,272 | 17.6 | 5,491 | 4,505 | 82.0 | 986 | 18.0 |
Male | 2,178 | 1,779 | 81.7 | 399 | 18.3 | 1,588 | 1,298 | 81.7 | 290 | 18.3 |
Female | 5,065 | 4,192 | 82.8 | 873 | 17.2 | 3,903 | 3,207 | 82.2 | 696 | 17.8 |
Totali | 33,606 | 27,535 | 81.9 | 6,071 | 18.1 | 25,879 | 21,435 | 82.8 | 4,444 | 17.2 |
Abbreviations: CD4, CD4+ T-lymphocyte count (cells/µL) or percentage; VL, viral load (copies/mL); CDC, the Centers for Disease Control and Prevention [footnotes only].
Note. Linkage to HIV medical care was measured by documentation of ≥ 1 CD4 or VL tests ≤ 1 month after diagnosis of HIV infection. Data are based on residence at time of diagnosis of HIV infection. Data are not provided for states and associated jurisdictions that do not have laws requiring reporting of all CD4 and viral loads or that have incomplete reporting of laboratory data to CDC. Areas without laws: Idaho. Areas with incomplete reporting: New Jersey, Pennsylvania (excluding Philadelphia), and Puerto Rico.
a Data for the year 2022 are considered preliminary until a 12-month reporting delay has been reached and should be interpreted with caution.
b “Transgender woman” includes individuals who were assigned “male” sex at birth but have ever identified as “female” gender. “Transgender man” includes individuals who were assigned “female” sex at birth but have ever identified as “male” gender
c Additional gender identity examples include “bigender,” “gender queer,” and “two-spirit.”
d Hispanic/Latino persons can be of any race
e Transmission category is classified based on a hierarchy of the risk factors most likely responsible for HIV transmission; classification is determined based on the person’s assigned sex at birth. Data have been statistically adjusted to account for missing transmission category; therefore, values may not sum to column total
f Includes individuals assigned male sex at birth, regardless of current gender identity, who have had sexual contact with other males, and individuals assigned male sex at birth who have had sexual contact with both males and females (i.e., bisexual contact).
g Includes persons who injected nonprescription drugs or who injected prescription drugs for nonmedical purposes. Also includes injection of drugs prescribed to persons if there is evidence that injection equipment was shared (e.g., syringes, needles, cookers).
h Heterosexual contact with a person known to have, or with a risk factor for, HIV infection.
i Includes persons with other risk factors, including hemophilia, blood transfusion, and risk factor not reported or not identified. Data not displayed because the numbers were too small to be meaningful.
2021 | 2022 (January-September, preliminary)a | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
Total diagnoses | ≥ 1 CD4 or VL tests | No CD4 or VL test | Total diagnoses | ≥ 1 CD4 or VL tests | No CD4 or VL test | |||||
Area of residence | No. | No. | % | No. | % | No. | No. | % | No. | % |
Alabama | 625 | 502 | 80.3 | 123 | 19.7 | 359 | 296 | 82.5 | 63 | 17.5 |
Alaska | 30 | 28 | 93.3 | 2 | 6.7 | 19 | 18 | 94.7 | 1 | 5.3 |
Arizona | 781 | 661 | 84.6 | 120 | 15.4 | 671 | 568 | 84.6 | 103 | 15.4 |
Arkansas | 338 | 261 | 77.2 | 77 | 22.8 | 243 | 194 | 79.8 | 49 | 20.2 |
California | 4,399 | 3,628 | 82.5 | 771 | 17.5 | 3,214 | 2,667 | 83.0 | 547 | 17.0 |
Colorado | 406 | 343 | 84.5 | 63 | 15.5 | 325 | 268 | 82.5 | 57 | 17.5 |
Connecticut | 233 | 204 | 87.6 | 29 | 12.4 | 169 | 143 | 84.6 | 26 | 15.4 |
Delaware | 81 | 68 | 84.0 | 13 | 16.0 | 92 | 78 | 84.8 | 14 | 15.2 |
District of Columbia | 195 | 154 | 79.0 | 41 | 21.0 | 171 | 146 | 85.4 | 25 | 14.6 |
Florida | 4,072 | 3,366 | 82.7 | 706 | 17.3 | 3,732 | 3,147 | 84.3 | 585 | 15.7 |
Georgia | 2,371 | 1,934 | 81.6 | 437 | 18.4 | 1,946 | 1,632 | 83.9 | 314 | 16.1 |
Hawaii | 65 | 55 | 84.6 | 10 | 15.4 | 38 | 32 | 84.2 | 6 | 15.8 |
Illinois | 1,195 | 1,022 | 85.5 | 173 | 14.5 | 872 | 752 | 86.2 | 120 | 13.8 |
Indiana | 528 | 401 | 75.9 | 127 | 24.1 | 455 | 350 | 76.9 | 105 | 23.1 |
Iowa | 124 | 106 | 85.5 | 18 | 14.5 | 79 | 72 | 91.1 | 7 | 8.9 |
Kansas | 154 | 139 | 90.3 | 15 | 9.7 | 99 | 92 | 92.9 | 7 | 7.1 |
Kentucky | 390 | 289 | 74.1 | 101 | 25.9 | 300 | 238 | 79.3 | 62 | 20.7 |
Louisiana | 899 | 725 | 80.6 | 174 | 19.4 | 674 | 529 | 78.5 | 145 | 21.5 |
Maine | 31 | 27 | 87.1 | 4 | 12.9 | 28 | 27 | 96.4 | 1 | 3.6 |
Maryland | 749 | 650 | 86.8 | 99 | 13.2 | 566 | 511 | 90.3 | 55 | 9.7 |
Massachusetts | 440 | 403 | 91.6 | 37 | 8.4 | 248 | 220 | 88.7 | 28 | 11.3 |
Michigan | 633 | 547 | 86.4 | 86 | 13.6 | 474 | 413 | 87.1 | 61 | 12.9 |
Minnesota | 297 | 254 | 85.5 | 43 | 14.5 | 193 | 160 | 82.9 | 33 | 17.1 |
Mississippi | 419 | 299 | 71.4 | 120 | 28.6 | 293 | 160 | 54.6 | 133 | 45.4 |
Missouri | 549 | 427 | 77.8 | 122 | 22.2 | 391 | 321 | 82.1 | 70 | 17.9 |
Montana | 22 | 21 | 95.5 | 1 | 4.5 | 10 | 7 | 70.0 | 3 | 30.0 |
Nebraska | 105 | 88 | 83.8 | 17 | 16.2 | 71 | 62 | 87.3 | 9 | 12.7 |
Nevada | 501 | 439 | 87.6 | 62 | 12.4 | 405 | 366 | 90.4 | 39 | 9.6 |
New Hampshire | 32 | 32 | 100 | 0 | 0.0 | 24 | 17 | 70.8 | 7 | 29.2 |
New Mexico | 149 | 127 | 85.2 | 22 | 14.8 | 67 | 60 | 89.6 | 7 | 10.4 |
New York | 2,116 | 1,814 | 85.7 | 302 | 14.3 | 1,628 | 1,423 | 87.4 | 205 | 12.6 |
North Carolina | 1,390 | 1,115 | 80.2 | 275 | 19.8 | 1,047 | 849 | 81.1 | 198 | 18.9 |
North Dakota | 37 | 31 | 83.8 | 6 | 16.2 | 5 | 3 | 60.0 | 2 | 40.0 |
Ohio | 909 | 757 | 83.3 | 152 | 16.7 | 668 | 560 | 83.8 | 108 | 16.2 |
Oklahoma | 387 | 303 | 78.3 | 84 | 21.7 | 223 | 175 | 78.5 | 48 | 21.5 |
Oregon | 202 | 159 | 78.7 | 43 | 21.3 | 191 | 163 | 85.3 | 28 | 14.7 |
Rhode Island | 68 | 58 | 85.3 | 10 | 14.7 | 44 | 42 | 95.5 | 2 | 4.5 |
South Carolina | 652 | 557 | 85.4 | 95 | 14.6 | 531 | 434 | 81.7 | 97 | 18.3 |
South Dakota | 31 | 25 | 80.6 | 6 | 19.4 | 29 | 19 | 65.5 | 10 | 34.5 |
Tennessee | 831 | 583 | 70.2 | 248 | 29.8 | 656 | 473 | 72.1 | 183 | 27.9 |
Texas | 4,363 | 3,431 | 78.6 | 932 | 21.4 | 3,142 | 2,519 | 80.2 | 623 | 19.8 |
Utah | 133 | 111 | 83.5 | 22 | 16.5 | 110 | 89 | 80.9 | 21 | 19.1 |
Vermont | 12 | 12 | 100 | 0 | 0.0 | 4 | 3 | 75.0 | 1 | 25.0 |
Virginia | 792 | 633 | 79.9 | 159 | 20.1 | 642 | 523 | 81.5 | 119 | 18.5 |
Washington | 461 | 407 | 88.3 | 54 | 11.7 | 393 | 343 | 87.3 | 50 | 12.7 |
West Virginia | 149 | 107 | 71.8 | 42 | 28.2 | 118 | 72 | 61.0 | 46 | 39.0 |
Wisconsin | 253 | 226 | 89.3 | 27 | 10.7 | 211 | 191 | 90.5 | 20 | 9.5 |
Wyoming | 7 | 6 | 85.7 | 1 | 14.3 | 9 | 8 | 88.9 | 1 | 11.1 |
Abbreviations: CD4, CD4+ T-lymphocyte count (cells/µL) or percentage; VL, viral load (copies/mL); CDC, the Centers for Disease Control and Prevention [footnotes only].
Note. Linkage to HIV medical care was measured by documentation of ≥ 1 CD4 or VL tests ≤ 1 month after diagnosis of HIV infection. Data are based on residence at time of diagnosis of HIV infection. Data are not provided for states and associated jurisdictions that do not have laws requiring reporting of all CD4 and viral loads or that have incomplete reporting of laboratory data to CDC. Areas without laws: Idaho. Areas with incomplete reporting: New Jersey, Pennsylvania (excluding Philadelphia), and Puerto Rico.
a Data for the year 2022 are considered preliminary until a 12-month reporting delay has been reached and should be interpreted with caution.
2021 | 2022 (January-September, preliminary)a | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
Total diagnoses | ≥ 1 CD4 or VL tests | No CD4 or VL test | Total diagnoses | ≥ 1 CD4 or VL tests | No CD4 or VL test | |||||
Area of residence | No. | No. | % | No. | % | No. | No. | % | No. | % |
Arizona | ||||||||||
Maricopa County | 518 | 446 | 86.1 | 72 | 13.9 | 447 | 387 | 86.6 | 60 | 13.4 |
California | ||||||||||
Alameda County | 185 | 162 | 87.6 | 23 | 12.4 | 151 | 130 | 86.1 | 21 | 13.9 |
Los Angeles County | 1,486 | 1,194 | 80.3 | 292 | 19.7 | 995 | 817 | 82.1 | 178 | 17.9 |
Orange County | 266 | 230 | 86.5 | 36 | 13.5 | 184 | 154 | 83.7 | 30 | 16.3 |
Riverside County | 258 | 199 | 77.1 | 59 | 22.9 | 221 | 178 | 80.5 | 43 | 19.5 |
Sacramento County | 175 | 151 | 86.3 | 24 | 13.7 | 107 | 96 | 89.7 | 11 | 10.3 |
San Bernardino County | 301 | 230 | 76.4 | 71 | 23.6 | 204 | 147 | 72.1 | 57 | 27.9 |
San Diego County | 369 | 307 | 83.2 | 62 | 16.8 | 172 | 140 | 81.4 | 32 | 18.6 |
San Francisco County | 185 | 174 | 94.1 | 11 | 5.9 | 163 | 148 | 90.8 | 15 | 9.2 |
District of Columbia | 195 | 154 | 79.0 | 41 | 21.0 | 171 | 146 | 85.4 | 25 | 14.6 |
Florida | ||||||||||
Broward County | 570 | 467 | 81.9 | 103 | 18.1 | 492 | 418 | 85.0 | 74 | 15.0 |
Duval County | 280 | 222 | 79.3 | 58 | 20.7 | 220 | 164 | 74.5 | 56 | 25.5 |
Hillsborough County | 294 | 234 | 79.6 | 60 | 20.4 | 244 | 206 | 84.4 | 38 | 15.6 |
Miami-Dade County | 937 | 768 | 82.0 | 169 | 18.0 | 927 | 778 | 83.9 | 149 | 16.1 |
Orange County | 416 | 340 | 81.7 | 76 | 18.3 | 372 | 303 | 81.5 | 69 | 18.5 |
Palm Beach County | 273 | 231 | 84.6 | 42 | 15.4 | 269 | 243 | 90.3 | 26 | 9.7 |
Pinellas County | 122 | 99 | 81.1 | 23 | 18.9 | 97 | 81 | 83.5 | 16 | 16.5 |
Georgia | ||||||||||
Cobb County | 152 | 131 | 86.2 | 21 | 13.8 | 130 | 111 | 85.4 | 19 | 14.6 |
DeKalb County | 342 | 283 | 82.7 | 59 | 17.3 | 296 | 245 | 82.8 | 51 | 17.2 |
Fulton County | 525 | 438 | 83.4 | 87 | 16.6 | 463 | 394 | 85.1 | 69 | 14.9 |
Gwinnett County | 165 | 144 | 87.3 | 21 | 12.7 | 127 | 114 | 89.8 | 13 | 10.2 |
Illinois | ||||||||||
Cook County | 843 | 730 | 86.6 | 113 | 13.4 | 572 | 497 | 86.9 | 75 | 13.1 |
Indiana | ||||||||||
Marion County | 216 | 170 | 78.7 | 46 | 21.3 | 187 | 141 | 75.4 | 46 | 24.6 |
Louisiana | ||||||||||
East Baton Rouge Parish | 141 | 112 | 79.4 | 29 | 20.6 | 91 | 75 | 82.4 | 16 | 17.6 |
Orleans Parish | 145 | 131 | 90.3 | 14 | 9.7 | 100 | 86 | 86.0 | 14 | 14.0 |
Maryland | ||||||||||
Baltimore City | 156 | 133 | 85.3 | 23 | 14.7 | 116 | 107 | 92.2 | 9 | 7.8 |
Montgomery County | 96 | 85 | 88.5 | 11 | 11.5 | 84 | 76 | 90.5 | 8 | 9.5 |
Prince George’s County | 229 | 198 | 86.5 | 31 | 13.5 | 185 | 168 | 90.8 | 17 | 9.2 |
Massachusetts | ||||||||||
Suffolk County | 132 | 127 | 96.2 | 5 | 3.8 | 68 | 61 | 89.7 | 7 | 10.3 |
Michigan | ||||||||||
Wayne County | 256 | 216 | 84.4 | 40 | 15.6 | 191 | 161 | 84.3 | 30 | 15.7 |
Nevada | ||||||||||
Clark County | 445 | 387 | 87.0 | 58 | 13.0 | 369 | 333 | 90.2 | 36 | 9.8 |
New York | ||||||||||
Bronx County | 416 | 359 | 86.3 | 57 | 13.7 | 296 | 250 | 84.5 | 46 | 15.5 |
Kings County | 441 | 378 | 85.7 | 63 | 14.3 | 345 | 312 | 90.4 | 33 | 9.6 |
New York County | 317 | 262 | 82.6 | 55 | 17.4 | 252 | 210 | 83.3 | 42 | 16.7 |
Queens County | 333 | 285 | 85.6 | 48 | 14.4 | 260 | 233 | 89.6 | 27 | 10.4 |
North Carolina | ||||||||||
Mecklenburg County | 278 | 226 | 81.3 | 52 | 18.7 | 214 | 167 | 78.0 | 47 | 22.0 |
Ohio | ||||||||||
Cuyahoga County | 164 | 146 | 89.0 | 18 | 11.0 | 100 | 86 | 86.0 | 14 | 14.0 |
Franklin County | 187 | 161 | 86.1 | 26 | 13.9 | 144 | 125 | 86.8 | 19 | 13.2 |
Hamilton County | 122 | 109 | 89.3 | 13 | 10.7 | 74 | 66 | 89.2 | 8 | 10.8 |
Pennsylvania | ||||||||||
Philadelphia County | 360 | 301 | 83.6 | 59 | 16.4 | 248 | 204 | 82.3 | 44 | 17.7 |
Tennessee | ||||||||||
Shelby County | 294 | 177 | 60.2 | 117 | 39.8 | 268 | 172 | 64.2 | 96 | 35.8 |
Texas | ||||||||||
Bexar County | 328 | 263 | 80.2 | 65 | 19.8 | 254 | 205 | 80.7 | 49 | 19.3 |
Dallas County | 798 | 613 | 76.8 | 185 | 23.2 | 660 | 516 | 78.2 | 144 | 21.8 |
Harris County | 1,161 | 873 | 75.2 | 288 | 24.8 | 954 | 757 | 79.4 | 197 | 20.6 |
Tarrant County | 302 | 236 | 78.1 | 66 | 21.9 | 250 | 181 | 72.4 | 69 | 27.6 |
Travis County | 225 | 195 | 86.7 | 30 | 13.3 | 174 | 152 | 87.4 | 22 | 12.6 |
Washington | ||||||||||
King County | 218 | 194 | 89.0 | 24 | 11.0 | 212 | 187 | 88.2 | 25 | 11.8 |
Abbreviations: CD4, CD4+ T-lymphocyte count (cells/µL) or percentage; VL, viral load (copies/mL); CDC, the Centers for Disease Control and Prevention [footnotes only].
Note. Linkage to HIV medical care was measured by documentation of ≥ 1 CD4 or VL tests ≤ 1 month after diagnosis of HIV infection. Data are based on residence at time of diagnosis of HIV infection. Data are not provided for states and associated jurisdictions that do not have laws requiring reporting of all CD4 and viral loads or that have incomplete reporting of laboratory data to CDC. Areas without laws: Idaho. Areas with incomplete reporting: New Jersey, Pennsylvania (excluding Philadelphia), and Puerto Rico.
a Data for the year 2022 are considered preliminary until a 12-month reporting delay has been reached and should be interpreted with caution.
Persons alive at year-end 2021 | VL < 200 copies/mL | ||
---|---|---|---|
No. | No. | % | |
Gender | |||
Male | 733,871 | 486,719 | 66.3 |
Female | 217,656 | 140,231 | 64.4 |
Transgender womana | 11,674 | 7,757 | 66.4 |
Transgender mana | 499 | 370 | 74.1 |
Additional gender identityb | 302 | 223 | 73.8 |
Age at year-end 2020 (yr) | |||
13–24 | 27,140 | 17,677 | 65.1 |
25–34 | 152,935 | 97,532 | 63.8 |
35–44 | 183,689 | 117,369 | 63.9 |
45–54 | 233,009 | 154,813 | 66.4 |
≥ 55 | 367,229 | 247,909 | 67.5 |
Race/ethnicity | |||
American Indian/Alaska Native | 2,992 | 1,908 | 63.8 |
Asianc | 15,188 | 10,614 | 69.9 |
Black/African American | 386,688 | 238,353 | 61.6 |
Hispanic/Latinod | 227,387 | 146,163 | 64.3 |
Native Hawaiian/other Pacific Islander | 855 | 542 | 63.4 |
White | 280,199 | 200,892 | 71.7 |
Multiracial | 50,067 | 36,786 | 73.5 |
Transmission categorye | |||
Male-to-male sexual contactf | 561,493 | 385,253 | 68.6 |
Injection drug useg | 96,246 | 53,923 | 56.0 |
Male | 54,849 | 28,778 | 52.5 |
Female | 41,397 | 25,145 | 60.7 |
Male-to-male sexual contactf and injection drug useg | 53,043 | 34,514 | 65.1 |
Heterosexual contacth | 239,228 | 153,516 | 64.2 |
Male | 69,386 | 42,133 | 60.7 |
Female | 169,842 | 111,383 | 65.6 |
Otheri | 13,992 | 8,094 | 57.8 |
Male | 7,039 | 3,996 | 56.8 |
Female | 6,953 | 4,098 | 58.9 |
Totalj | 964,002 | 635,300 | 65.9 |
Abbreviations: VL, viral load (copies/mL); CDC, the Centers for Disease Control and Prevention [footnotes only]; CD4, CD4+ T-lymphocyte count (cells/µL) or percentage [footnotes only].
Note. Data are based on address of residence as of December 31, 2021 (i.e., most recent known address). Data for the year 2021 are preliminary and based on death data received by CDC as of December 2022. A VL test result of < 200 copies/mL indicates HIV viral suppression. VL test results are from the most recent test during 2021. Data are not provided for states and associated jurisdictions that do not have laws requiring reporting of all CD4 and viral loads or that have incomplete reporting of laboratory data to CDC. Areas without laws: Idaho. Areas with incomplete reporting: New Jersey, Pennsylvania (excluding Philadelphia), and Puerto Rico.
a “Transgender woman” includes individuals who were assigned “male” sex at birth but have ever identified as “female” gender. “Transgender man” includes individuals who were assigned “female” sex at birth but have ever identified as “male” gender.
b Additional gender identity examples include “bigender,” “gender queer,” and “two-spirit.”
c Includes Asian/Pacific Islander legacy cases.
d Hispanic/Latino persons can be of any race.
e Transmission category is classified based on a hierarchy of the risk factors most likely responsible for HIV transmission; classification is determined based on the person’s assigned sex at birth. Data have been statistically adjusted to account for missing transmission category; therefore, values may not sum to column total.
f Includes individuals assigned male sex at birth, regardless of current gender identity, who have had sexual contact with other males, and individuals assigned male sex at birth who have had sexual contact with both males and females (i.e., bisexual contact).
g Includes persons who injected nonprescription drugs or who injected prescription drugs for nonmedical purposes. Also includes injection of drugs prescribed to persons if there is evidence that injection equipment was shared (e.g., syringes, needles, cookers).
h Heterosexual contact with a person known to have, or with a risk factor for, HIV infection.
i Other risk factors, including hemophilia, blood transfusion, and risk factor not reported or not identified.
j Includes 626 persons of unknown race/ethnicity.
Persons alive at year-end 2021 | VL < 200 copies/mL | ||
---|---|---|---|
No. | No. | % | |
Alabama | 13,774 | 8,146 | 59.1 |
Alaska | 718 | 572 | 79.7 |
Arizona | 17,490 | 10,955 | 62.6 |
Arkansas | 5,900 | 3,097 | 52.5 |
California | 131,709 | 87,675 | 66.6 |
Colorado | 13,022 | 7,890 | 60.6 |
Connecticut | 10,406 | 7,484 | 71.9 |
Delaware | 3,439 | 2,525 | 73.4 |
District of Columbia | 13,401 | 7,418 | 55.4 |
Florida | 113,218 | 77,793 | 68.7 |
Georgia | 57,083 | 35,470 | 62.1 |
Hawaii | 2,323 | 1,839 | 79.2 |
Illinois | 34,556 | 21,881 | 63.3 |
Indiana | 11,821 | 8,322 | 70.4 |
Iowa | 2,923 | 2,389 | 81.7 |
Kansas | 3,340 | 2,523 | 75.5 |
Kentucky | 7,759 | 5,062 | 65.2 |
Louisiana | 20,700 | 14,263 | 68.9 |
Maine | 1,650 | 1,279 | 77.5 |
Maryland | 32,719 | 20,214 | 61.8 |
Massachusetts | 20,672 | 14,483 | 70.1 |
Michigan | 16,652 | 11,987 | 72.0 |
Minnesota | 8,915 | 5,962 | 66.9 |
Mississippia | 9,474 | 5,646 | 59.6 |
Missouri | 12,570 | 8,403 | 66.8 |
Montana | 698 | 564 | 80.8 |
Nebraska | 2,274 | 1,541 | 67.8 |
Nevada | 10,921 | 6,971 | 63.8 |
New Hampshire | 1,333 | 1,006 | 75.5 |
New Mexico | 3,873 | 2,183 | 56.4 |
New York | 122,351 | 79,119 | 64.7 |
North Carolina | 32,933 | 22,383 | 68.0 |
North Dakota | 506 | 317 | 62.6 |
Ohio | 23,181 | 15,307 | 66.0 |
Oklahoma | 6,585 | 4,046 | 61.4 |
Oregon | 7,268 | 5,616 | 77.3 |
Rhode Island | 2,647 | 1,809 | 68.3 |
South Carolina | 17,474 | 12,679 | 72.6 |
South Dakota | 687 | 380 | 55.3 |
Tennessee | 17,938 | 12,005 | 66.9 |
Texas | 96,292 | 60,494 | 62.8 |
Utah | 3,317 | 2,338 | 70.5 |
Vermont | 712 | 531 | 74.6 |
Virginia | 23,635 | 15,378 | 65.1 |
Washington | 14,141 | 11,121 | 78.6 |
West Virginia | 2,056 | 1,118 | 54.4 |
Wisconsin | 6,579 | 4,869 | 74.0 |
Wyoming | 367 | 247 | 67.3 |
Total | 964,002 | 635,300 | 65.9 |
Abbreviations: VL, viral load (copies/mL); CDC, the Centers for Disease Control and Prevention [footnotes only]; CD4, CD4+ T-lymphocyte count (cells/µL) or percentage [footnotes only].
Note. Data are based on address of residence as of December 31, 2021 (i.e., most recent known address). Data for the year 2021 are preliminary and based on death data received by CDC as of December 2022. A VL test result of < 200 copies/mL indicates HIV viral suppression. VL test results are from the most recent test during 2021. Data are not provided for states and associated jurisdictions that do not have laws requiring reporting of all CD4 and viral loads or that have incomplete reporting of laboratory data to CDC. Areas without laws: Idaho. Areas with incomplete reporting: New Jersey, Pennsylvania (excluding Philadelphia), and Puerto Rico.
a Data should be interpreted with caution due to incomplete ascertainment of deaths that occurred during the year 2021.
Persons alive at year-end 2021 | VL < 200 copies/mL | ||
---|---|---|---|
Area of residence | No. | No. | % |
Arizona | |||
Maricopa County | 11,910 | 7,494 | 62.9 |
California | |||
Alameda County | 5,808 | 4,152 | 71.5 |
Los Angeles County | 49,007 | 31,877 | 65.0 |
Orange County | 6,963 | 4,557 | 65.4 |
Riverside County | 9,862 | 7,691 | 78.0 |
Sacramento County | 4,467 | 3,128 | 70.0 |
San Bernardino County | 4,769 | 2,919 | 61.2 |
San Diego County | 13,163 | 7,748 | 58.9 |
San Francisco County | 11,437 | 8,350 | 73.0 |
District of Columbia | 13,401 | 7,418 | 55.4 |
Florida | |||
Broward County | 19,788 | 13,586 | 68.7 |
Duval County | 6,218 | 4,324 | 69.5 |
Hillsborough County | 7,162 | 5,196 | 72.5 |
Miami-Dade County | 26,224 | 16,142 | 61.6 |
Orange County | 8,938 | 6,433 | 72.0 |
Palm Beach County | 7,887 | 5,100 | 64.7 |
Pinellas County | 4,812 | 3,745 | 77.8 |
Georgia | |||
Cobb County | 3,501 | 2,332 | 66.6 |
DeKalb County | 8,802 | 5,637 | 64.0 |
Fulton County | 15,851 | 9,885 | 62.4 |
Gwinnett County | 3,199 | 2,147 | 67.1 |
Illinois | |||
Cook County | 24,919 | 15,173 | 60.9 |
Indiana | |||
Marion County | 4,752 | 3,507 | 73.8 |
Louisiana | |||
East Baton Rouge Parish | 3,983 | 3,021 | 75.8 |
Orleans Parish | 4,721 | 3,199 | 67.8 |
Maryland | |||
Baltimore City | 10,110 | 6,303 | 62.3 |
Montgomery County | 3,850 | 2,028 | 52.7 |
Prince George’s County | 7,865 | 4,763 | 60.6 |
Massachusetts | |||
Suffolk County | 5,527 | 3,765 | 68.1 |
Michigan | |||
Wayne County | 6,974 | 4,767 | 68.4 |
Nevada | |||
Clark County | 9,255 | 5,909 | 63.8 |
New York | |||
Bronx County | 26,854 | 17,245 | 64.2 |
Kings County | 25,601 | 16,330 | 63.8 |
New York County | 25,777 | 15,598 | 60.5 |
Queens County | 15,810 | 10,089 | 63.8 |
North Carolina | |||
Mecklenburg County | 6,013 | 4,025 | 66.9 |
Ohio | |||
Cuyahoga County | 4,810 | 3,132 | 65.1 |
Franklin County | 5,072 | 3,581 | 70.6 |
Hamilton County | 3,037 | 1,954 | 64.3 |
Pennsylvania | |||
Philadelphia County | 16,404 | 10,051 | 61.3 |
Tennessee | |||
Shelby County | 6,278 | 4,007 | 63.8 |
Texas | |||
Bexar County | 6,596 | 4,112 | 62.3 |
Dallas County | 18,809 | 11,348 | 60.3 |
Harris County | 26,727 | 17,120 | 64.1 |
Tarrant County | 6,120 | 4,162 | 68.0 |
Travis County | 5,032 | 3,506 | 69.7 |
Washington | |||
King County | 6,965 | 5,707 | 81.9 |
Abbreviations: VL, viral load (copies/mL); CDC, the Centers for Disease Control and Prevention [footnotes only]; CD4, CD4+ T-lymphocyte count (cells/µL) or percentage [footnotes only].
Note. Data are based on address of residence as of December 31, 2021 (i.e., most recent known address). Data for the year 2021 are preliminary and based on death data received by CDC as of December 2022. A VL test result of < 200 copies/mL indicates HIV viral suppression. VL test results are from the most recent test during 2021. Data are not provided for states and associated jurisdictions that do not have laws requiring reporting of all CD4 and viral loads or that have incomplete reporting of laboratory data to CDC. Areas without laws: Idaho. Areas with incomplete reporting: New Jersey, Pennsylvania (excluding Philadelphia), and Puerto Rico.
2017 | 2018 | 2019 | |||||||
---|---|---|---|---|---|---|---|---|---|
Persons prescribed PrEPa | Persons with PrEP indicationsb | PrEP coveragec | Persons prescribed PrEPa | Persons with PrEP indicationsb | PrEP coveragec | Persons prescribed PrEPa | Persons with PrEP indicationsb | PrEP coveragec | |
No. | No. | % | No. | No. | % | No. | No. | % | |
Sex at birth | |||||||||
Male | 143,672 | 993,840 | 14.5 | 204,039 | 989,200 | 20.6 | 253,750 | 989,200 | 25.7 |
Female | 11,261 | 227,240 | 5.0 | 15,796 | 227,010 | 7.0 | 21,040 | 227,010 | 9.3 |
Age (yr) | |||||||||
16–24 | 20,080 | 259,130 | 7.7 | 29,300 | 246,290 | 11.9 | 37,595 | 246,290 | 15.3 |
25–34 | 62,346 | 425,690 | 14.6 | 90,658 | 434,680 | 20.9 | 111,654 | 434,680 | 25.7 |
35–44 | 36,475 | 233,560 | 15.6 | 50,699 | 238,470 | 21.3 | 64,030 | 238,470 | 26.9 |
45–54 | 23,763 | 180,870 | 13.1 | 31,487 | 173,420 | 18.2 | 37,396 | 173,420 | 21.6 |
≥ 55 | 12,308 | 121,830 | 10.1 | 17,715 | 123,350 | 14.4 | 24,159 | 123,350 | 19.6 |
Race/ethnicityd | |||||||||
Black/African American | 19,776 | 475,100 | 4.2 | 29,059 | 468,540 | 6.2 | 37,447 | 468,540 | 8.0 |
Hispanic/Latinoe | 23,416 | 299,580 | 7.8 | 35,110 | 312,820 | 11.2 | 45,212 | 312,820 | 14.5 |
Other | 7,020 | 132,040 | 5.3 | 9,890 | 131,180 | 7.5 | 12,289 | 131,180 | 9.4 |
White | 104,820 | 311,250 | 33.7 | 145,894 | 300,650 | 48.5 | 179,985 | 300,650 | 59.9 |
Total | 155,032 | 1,221,080 | 12.7 | 219,954 | 1,216,210 | 18.1 | 274,933 | 1,216,210 | 22.6 |
2020 (COVID-19 pandemic) | 2021 | 2022 (January – September) | |||||||
---|---|---|---|---|---|---|---|---|---|
Persons prescribed PrEPa | Persons with PrEP indicationsb | PrEP coveragec | Persons prescribed PrEPa | Persons with PrEP indicationsb | PrEP coveragec | Persons prescribed PrEPa | Persons with PrEP indicationsb | PrEP coveragec | |
No. | No. | % | No. | No. | % | No. | No. | % | |
Sex at birth | |||||||||
Male | 276,915 | 989,200 | 28.0 | 337,697 | 989,200 | 34.1 | 355,379 | 989,200 | 35.9 |
Female | 23,562 | 227,010 | 10.4 | 28,014 | 227,010 | 12.3 | 26,888 | 227,010 | 11.8 |
Age (yr) | |||||||||
16–24 | 37,709 | 246,290 | 15.3 | 48,552 | 246,290 | 19.7 | 46,933 | 246,290 | 19.1 |
25–34 | 120,220 | 434,680 | 27.7 | 145,758 | 434,680 | 33.5 | 151,005 | 434,680 | 34.7 |
35–44 | 71,840 | 238,470 | 30.1 | 88,516 | 238,470 | 37.1 | 96,302 | 238,470 | 40.4 |
45–54 | 40,454 | 173,420 | 23.3 | 46,224 | 173,420 | 26.7 | 47,616 | 173,420 | 27.5 |
≥ 55 | 30,208 | 123,350 | 24.5 | 36,740 | 123,350 | 29.8 | 40,283 | 123,350 | 32.7 |
Race/ethnicityd | |||||||||
Black/African American | 43,332 | 468,540 | 9.2 | 51,878 | 468,540 | 11.1 | 51,708 | 468,540 | 11.0 |
Hispanic/Latinoe | 51,104 | 312,820 | 16.3 | 64,018 | 312,820 | 20.5 | 66,177 | 312,820 | 21.2 |
Other | 12,840 | 131,180 | 9.8 | 15,779 | 131,180 | 12.0 | 16,779 | 131,180 | 12.8 |
White | 193,268 | 300,650 | 64.3 | 234,318 | 300,650 | 77.9 | 247,701 | 300,650 | 82.4 |
Total | 300,544 | 1,216,210 | 24.7 | 365,994 | 1,216,210 | 30.1 | 382,364 | 1,216,210 | 31.4 |
Abbreviations: PrEP, preexposure prophylaxis; FDA, Food and Drug Administration [footnotes only].
Note. Data for years 2020 and 2021 should be interpreted with caution due to the impact of the COVID-19 pandemic on filling PrEP prescriptions in state/local jurisdictions.
a Estimated by using data from IQVIA pharmacy database reported through September 2022 based on an algorithm that included FDA-approved drugs for PrEP. Data for which values are unknown were not reported; thus, values may not sum to column total.
b Estimated by using 2017 and 2018 data from National HIV Surveillance System, National Health and Nutrition Examination Survey, and U.S. Census Bureau’s American Community Survey. Data are rounded to the nearest 10. Data for which values are unknown were not reported; thus, values may not sum to column total. The data sources used to estimate the number of persons with indications for PrEP have different schedules of data availability. Consequently, the availability of a denominator may lag the availability of a numerator. In this table, 2017 denominators were used for 2017 PrEP coverage data; 2018 denominators were used for 2018–2022 PrEP coverage data.
c PrEP coverage, reported as a percentage, was calculated as the number who have been prescribed PrEP divided by the estimated number of persons who had indications for PrEP.
d Race/ethnicity data were only available for <40% of persons prescribed PrEP each year. Number prescribed PrEP and PrEP coverage for race/ethnicity reported in the table were adjusted applying the distribution of records with known race/ethnicity to records with missing race/ethnicity.
e Hispanic/Latino persons can be of any race.
2017 | 2018 | 2019 | |||||||
---|---|---|---|---|---|---|---|---|---|
Persons prescribed PrEPa | Persons with PrEP indicationsb | PrEP coveragec | Persons prescribed PrEPa | Persons with PrEP indicationsb | PrEP coveragec | Persons prescribed PrEPa | Persons with PrEP indicationsb | PrEP coveragec | |
No. | No. | % | No. | No. | % | No. | No. | % | |
Alabama | 1,010 | 11,390 | 8.9 | 1,531 | 11,020 | 13.9 | 1,834 | 11,020 | 16.6 |
Alaska | 125 | 2,370 | 5.3 | 199 | 1,780 | 11.2 | 227 | 1,780 | 12.8 |
Arizona | 2,250 | 26,820 | 8.4 | 3,494 | 25,780 | 13.6 | 4,575 | 25,780 | 17.7 |
Arkansas | 412 | 4,840 | 8.5 | 585 | 5,130 | 11.4 | 728 | 5,130 | 14.2 |
California | 26,071 | 166,150 | 15.7 | 35,902 | 165,030 | 21.8 | 41,579 | 165,030 | 25.2 |
Colorado | 2,410 | 25,510 | 9.4 | 3,449 | 25,120 | 13.7 | 4,396 | 25,120 | 17.5 |
Connecticut | 1,574 | 10,970 | 14.3 | 2,268 | 9,560 | 23.7 | 2,661 | 9,560 | 27.8 |
Delaware | 280 | 4,860 | 5.8 | 423 | 4,400 | 9.6 | 476 | 4,400 | 10.8 |
District of Columbia | 3,800 | 13,710 | 27.7 | 5,007 | 12,950 | 38.7 | 5,882 | 12,950 | 45.4 |
Florida | 8,493 | 125,160 | 6.8 | 14,715 | 125,330 | 11.7 | 21,744 | 125,330 | 17.3 |
Georgia | 4,462 | 40,680 | 11.0 | 6,295 | 39,030 | 16.1 | 8,645 | 39,030 | 22.1 |
Hawaii | 438 | 5,440 | 8.1 | 679 | 4,360 | 15.6 | 815 | 4,360 | 18.7 |
Idaho | 265 | 3,860 | 6.9 | 370 | 4,790 | 7.7 | 479 | 4,790 | 10.0 |
Illinois | 10,133 | 54,620 | 18.6 | 13,858 | 55,860 | 24.8 | 16,641 | 55,860 | 29.8 |
Indiana | 1,553 | 21,640 | 7.2 | 2,195 | 22,170 | 9.9 | 2,979 | 22,170 | 13.4 |
Iowa | 764 | 4,280 | 17.9 | 1,145 | 4,760 | 24.1 | 1,414 | 4,760 | 29.7 |
Kansas | 523 | 5,570 | 9.4 | 722 | 5,060 | 14.3 | 902 | 5,060 | 17.8 |
Kentucky | 750 | 13,170 | 5.7 | 1,205 | 12,990 | 9.3 | 1,600 | 12,990 | 12.3 |
Louisiana | 2,190 | 15,490 | 14.1 | 3,302 | 15,920 | 20.7 | 3,916 | 15,920 | 24.6 |
Maine | 318 | 3,270 | 9.7 | 499 | 3,950 | 12.6 | 651 | 3,950 | 16.5 |
Maryland | 2,677 | 28,150 | 9.5 | 3,944 | 27,300 | 14.4 | 4,929 | 27,300 | 18.1 |
Massachusetts | 5,503 | 25,110 | 21.9 | 7,615 | 24,900 | 30.6 | 9,303 | 24,900 | 37.4 |
Michigan | 2,254 | 28,520 | 7.9 | 3,471 | 29,570 | 11.7 | 4,349 | 29,570 | 14.7 |
Minnesota | 2,506 | 23,770 | 10.5 | 3,469 | 21,720 | 16.0 | 4,202 | 21,720 | 19.3 |
Mississippi | 471 | 5,030 | 9.4 | 653 | 4,530 | 14.4 | 948 | 4,530 | 20.9 |
Missouri | 1,882 | 19,420 | 9.7 | 2,720 | 18,370 | 14.8 | 3,474 | 18,370 | 18.9 |
Montana | 119 | 2,750 | 4.3 | 185 | 2,290 | 8.1 | 268 | 2,290 | 11.7 |
Nebraska | 346 | 2,590 | 13.4 | 471 | 2,180 | 21.6 | 619 | 2,180 | 28.4 |
Nevada | 1,049 | 10,870 | 9.7 | 1,485 | 11,390 | 13.0 | 2,181 | 11,390 | 19.1 |
New Hampshire | 319 | 3,110 | 10.3 | 498 | 3,020 | 16.5 | 618 | 3,020 | 20.5 |
New Jersey | 3,273 | 28,590 | 11.4 | 4,587 | 25,280 | 18.1 | 5,667 | 25,280 | 22.4 |
New Mexico | 612 | 6,720 | 9.1 | 810 | 6,800 | 11.9 | 1,072 | 6,800 | 15.8 |
New York | 22,484 | 74,450 | 30.2 | 30,023 | 72,640 | 41.3 | 35,281 | 72,640 | 48.6 |
North Carolina | 2,584 | 33,110 | 7.8 | 4,019 | 32,490 | 12.4 | 5,397 | 32,490 | 16.6 |
North Dakota | 108 | 1,230 | 8.8 | 160 | 1,520 | 10.5 | 187 | 1,520 | 12.3 |
Ohio | 3,470 | 40,940 | 8.5 | 4,735 | 40,320 | 11.7 | 6,095 | 40,320 | 15.1 |
Oklahoma | 529 | 11,030 | 4.8 | 810 | 11,030 | 7.3 | 1,155 | 11,030 | 10.5 |
Oregon | 2,048 | 20,720 | 9.9 | 2,763 | 19,750 | 14.0 | 3,400 | 19,750 | 17.2 |
Pennsylvania | 6,085 | 36,160 | 16.8 | 8,502 | 36,490 | 23.3 | 10,092 | 36,490 | 27.7 |
Puerto Ricod | 123 | 9,700 | 1.3 | 246 | 9,700 | 2.5 | 329 | 9,700 | 3.4 |
Rhode Island | 625 | 4,360 | 14.3 | 862 | 3,880 | 22.2 | 1,082 | 3,880 | 27.9 |
South Carolina | 703 | 10,390 | 6.8 | 1,241 | 10,390 | 11.9 | 1,724 | 10,390 | 16.6 |
South Dakota | 55 | 1,000 | 5.5 | 101 | 910 | 11.1 | 150 | 910 | 16.5 |
Tennessee | 1,709 | 22,890 | 7.5 | 2,596 | 22,460 | 11.6 | 3,892 | 22,460 | 17.3 |
Texas | 11,084 | 123,400 | 9.0 | 17,702 | 123,790 | 14.3 | 23,120 | 123,790 | 18.7 |
Utah | 1,050 | 6,900 | 15.2 | 1,490 | 6,840 | 21.8 | 2,035 | 6,840 | 29.8 |
Vermont | 217 | 1,490 | 14.6 | 280 | 1,060 | 26.4 | 337 | 1,060 | 31.8 |
Virginia | 2,043 | 33,670 | 6.1 | 3,121 | 31,430 | 9.9 | 4,403 | 31,430 | 14.0 |
Washington | 6,332 | 35,600 | 17.8 | 8,238 | 40,050 | 20.6 | 9,885 | 40,050 | 24.7 |
West Virginia | 237 | 3,660 | 6.5 | 369 | 5,250 | 7.0 | 570 | 5,250 | 10.9 |
Wisconsin | 1,289 | 14,230 | 9.1 | 1,856 | 12,980 | 14.3 | 2,471 | 12,980 | 19.0 |
Wyoming | 49 | 1,410 | 3.5 | 73 | 890 | 8.2 | 96 | 890 | 10.8 |
2020 (COVID-19 pandemic) | 2021 | 2022 (January – September) | |||||||
---|---|---|---|---|---|---|---|---|---|
Persons prescribed PrEPa | Persons with PrEP indicationsb | PrEP coveragec | Persons prescribed PrEPa | Persons with PrEP indicationsb | PrEP coveragec | Persons prescribed PrEPa | Persons with PrEP indicationsb | PrEP coveragec | |
No. | No. | % | No. | No. | % | No. | No. | % | |
Alabama | 1,908 | 11,020 | 17.3 | 2,764 | 11,020 | 25.1 | 3,018 | 11,020 | 27.4 |
Alaska | 243 | 1,780 | 13.7 | 308 | 1,780 | 17.3 | 347 | 1,780 | 19.5 |
Arizona | 5,055 | 25,780 | 19.6 | 6,571 | 25,780 | 25.5 | 7,297 | 25,780 | 28.3 |
Arkansas | 861 | 5,130 | 16.8 | 1,275 | 5,130 | 24.9 | 1,449 | 5,130 | 28.2 |
California | 42,234 | 165,030 | 25.6 | 50,239 | 165,030 | 30.4 | 53,925 | 165,030 | 32.7 |
Colorado | 4,791 | 25,120 | 19.1 | 6,187 | 25,120 | 24.6 | 6,625 | 25,120 | 26.4 |
Connecticut | 2,459 | 9,560 | 25.7 | 3,036 | 9,560 | 31.8 | 3,473 | 9,560 | 36.3 |
Delaware | 474 | 4,400 | 10.8 | 645 | 4,400 | 14.7 | 733 | 4,400 | 16.7 |
District of Columbia | 5,967 | 12,950 | 46.1 | 6,790 | 12,950 | 52.4 | 6,945 | 12,950 | 53.6 |
Florida | 34,501 | 125,330 | 27.5 | 42,584 | 125,330 | 34.0 | 39,596 | 125,330 | 31.6 |
Georgia | 9,754 | 39,030 | 25.0 | 12,173 | 39,030 | 31.2 | 12,271 | 39,030 | 31.4 |
Hawaii | 902 | 4,360 | 20.7 | 1,134 | 4,360 | 26.0 | 1,308 | 4,360 | 30.0 |
Idaho | 666 | 4,790 | 13.9 | 878 | 4,790 | 18.3 | 933 | 4,790 | 19.5 |
Illinois | 15,962 | 55,860 | 28.6 | 18,417 | 55,860 | 33.0 | 19,543 | 55,860 | 35.0 |
Indiana | 3,195 | 22,170 | 14.4 | 4,261 | 22,170 | 19.2 | 4,801 | 22,170 | 21.7 |
Iowa | 1,555 | 4,760 | 32.7 | 1,951 | 4,760 | 41.0 | 1,945 | 4,760 | 40.9 |
Kansas | 951 | 5,060 | 18.8 | 1,278 | 5,060 | 25.3 | 1,383 | 5,060 | 27.3 |
Kentucky | 1,654 | 12,990 | 12.7 | 2,225 | 12,990 | 17.1 | 2,576 | 12,990 | 19.8 |
Louisiana | 3,566 | 15,920 | 22.4 | 4,152 | 15,920 | 26.1 | 4,156 | 15,920 | 26.1 |
Maine | 669 | 3,950 | 16.9 | 908 | 3,950 | 23.0 | 977 | 3,950 | 24.7 |
Maryland | 4,797 | 27,300 | 17.6 | 5,793 | 27,300 | 21.2 | 5,981 | 27,300 | 21.9 |
Massachusetts | 9,369 | 24,900 | 37.6 | 10,164 | 24,900 | 40.8 | 11,348 | 24,900 | 45.6 |
Michigan | 4,665 | 29,570 | 15.8 | 5,900 | 29,570 | 20.0 | 6,261 | 29,570 | 21.2 |
Minnesota | 4,206 | 21,720 | 19.4 | 5,251 | 21,720 | 24.2 | 5,817 | 21,720 | 26.8 |
Mississippi | 1,091 | 4,530 | 24.1 | 1,592 | 4,530 | 35.1 | 1,525 | 4,530 | 33.7 |
Missouri | 3,564 | 18,370 | 19.4 | 4,173 | 18,370 | 22.7 | 4,484 | 18,370 | 24.4 |
Montana | 294 | 2,290 | 12.8 | 395 | 2,290 | 17.2 | 457 | 2,290 | 20.0 |
Nebraska | 718 | 2,180 | 32.9 | 1,004 | 2,180 | 46.1 | 1,128 | 2,180 | 51.7 |
Nevada | 2,497 | 11,390 | 21.9 | 4,877 | 11,390 | 42.8 | 4,422 | 11,390 | 38.8 |
New Hampshire | 650 | 3,020 | 21.5 | 803 | 3,020 | 26.6 | 886 | 3,020 | 29.3 |
New Jersey | 5,904 | 25,280 | 23.4 | 7,267 | 25,280 | 28.7 | 7,725 | 25,280 | 30.6 |
New Mexico | 1,235 | 6,800 | 18.2 | 1,594 | 6,800 | 23.4 | 1,767 | 6,800 | 26.0 |
New York | 34,116 | 72,640 | 47.0 | 39,082 | 72,640 | 53.8 | 40,223 | 72,640 | 55.4 |
North Carolina | 6,161 | 32,490 | 19.0 | 7,964 | 32,490 | 24.5 | 8,697 | 32,490 | 26.8 |
North Dakota | 183 | 1,520 | 12.0 | 246 | 1,520 | 16.2 | 295 | 1,520 | 19.4 |
Ohio | 6,802 | 40,320 | 16.9 | 8,465 | 40,320 | 21.0 | 9,071 | 40,320 | 22.5 |
Oklahoma | 1,523 | 11,030 | 13.8 | 2,321 | 11,030 | 21.0 | 2,423 | 11,030 | 22.0 |
Oregon | 3,826 | 19,750 | 19.4 | 4,691 | 19,750 | 23.8 | 5,283 | 19,750 | 26.7 |
Pennsylvania | 10,562 | 36,490 | 28.9 | 13,049 | 36,490 | 35.8 | 14,090 | 36,490 | 38.6 |
Puerto Ricod | 368 | 9,700 | 3.8 | 608 | 9,700 | 6.3 | 698 | 9,700 | 7.2 |
Rhode Island | 1,155 | 3,880 | 29.8 | 1,512 | 3,880 | 39.0 | 1,616 | 3,880 | 41.6 |
South Carolina | 2,103 | 10,390 | 20.2 | 2,934 | 10,390 | 28.2 | 3,185 | 10,390 | 30.7 |
South Dakota | 141 | 910 | 15.5 | 214 | 910 | 23.5 | 263 | 910 | 28.9 |
Tennessee | 5,166 | 22,460 | 23.0 | 7,227 | 22,460 | 32.2 | 7,877 | 22,460 | 35.1 |
Texas | 27,496 | 123,790 | 22.2 | 34,728 | 123,790 | 28.1 | 35,883 | 123,790 | 29.0 |
Utah | 2,366 | 6,840 | 34.6 | 3,262 | 6,840 | 47.7 | 3,535 | 6,840 | 51.7 |
Vermont | 321 | 1,060 | 30.3 | 480 | 1,060 | 45.3 | 501 | 1,060 | 47.3 |
Virginia | 5,117 | 31,430 | 16.3 | 6,280 | 31,430 | 20.0 | 6,607 | 31,430 | 21.0 |
Washington | 10,065 | 40,050 | 25.1 | 11,377 | 40,050 | 28.4 | 12,134 | 40,050 | 30.3 |
West Virginia | 521 | 5,250 | 9.9 | 707 | 5,250 | 13.5 | 785 | 5,250 | 15.0 |
Wisconsin | 2,529 | 12,980 | 19.5 | 2,816 | 12,980 | 21.7 | 2,928 | 12,980 | 22.6 |
Wyoming | 98 | 890 | 11.0 | 139 | 890 | 15.6 | 160 | 890 | 18.0 |
Abbreviations: PrEP, preexposure prophylaxis; FDA, Food and Drug Administration [footnotes only].
Note. Data for years 2020 and 2021 should be interpreted with caution due to the impact of the COVID-19 pandemic on filling PrEP prescriptions in state/local jurisdictions.
a Estimated by using data from IQVIA pharmacy database reported through September 2022 based on an algorithm that included FDA-approved drugs for PrEP. Data for which values are unknown were not reported thus values may not sum to column total.
b Estimated by using 2017 and 2018 data from National HIV Surveillance System, National Health and Nutrition Examination Survey, and U.S. Census Bureau’s American Community Survey. Data are rounded to the nearest 10. Data for which values are unknown were not reported; thus, values may not sum to column total. The data sources used to estimate the number of persons with indications for PrEP have different schedules of data availability. Consequently, the availability of a denominator may lag the availability of a numerator. In this table, 2017 denominators were used for 2017 PrEP coverage data; 2018 denominators were used for 2018–2022 PrEP coverage data.
c PrEP coverage, reported as a percentage, was calculated as the number who have been prescribed PrEP divided by the estimated number of persons who had indications for PrEP.
d Number of persons with PrEP indications in Puerto Rico is not available in 2017. Number of persons with PrEP indications in 2018 is used for 2017 denominator.
2017 | 2018 | 2019 | |||||||
---|---|---|---|---|---|---|---|---|---|
Persons prescribed PrEPa | Persons with PrEP indicationsb | PrEP coveragec | Persons prescribed PrEPa | Persons with PrEP indicationsb | PrEP coveragec | Persons prescribed PrEPa | Persons with PrEP indicationsb | PrEP coveragec | |
No. | No. | % | No. | No. | % | No. | No. | % | |
Arizona | |||||||||
Maricopa County | 1,787 | 23,540 | 7.6 | 2,792 | 22,720 | 12.3 | 3,532 | 22,720 | 15.5 |
California | |||||||||
Alameda County | 1,401 | 7,260 | 19.3 | 1,851 | 8,930 | 20.7 | 2,156 | 8,930 | 24.1 |
Los Angeles County | 8,656 | 64,180 | 13.5 | 12,077 | 67,450 | 17.9 | 13,679 | 67,450 | 20.3 |
Orange County | 1,050 | 9,990 | 10.5 | 1,602 | 10,510 | 15.2 | 2,036 | 10,510 | 19.4 |
Riverside County | 993 | 11,040 | 9.0 | 1,419 | 11,080 | 12.8 | 1,797 | 11,080 | 16.2 |
Sacramento County | 581 | 5,460 | 10.6 | 787 | 5,920 | 13.3 | 955 | 5,920 | 16.1 |
San Bernardino County | 379 | 12,450 | 3.0 | 608 | 11,890 | 5.1 | 751 | 11,890 | 6.3 |
San Diego County | 2,340 | 19,420 | 12.0 | 3,360 | 14,500 | 23.2 | 3,729 | 14,500 | 25.7 |
San Francisco County | 6,245 | 11,330 | 55.1 | 7,811 | 10,840 | 72.1 | 8,828 | 10,840 | 81.4 |
District of Columbia | 3,800 | 13,710 | 27.7 | 5,007 | 12,950 | 38.7 | 5,882 | 12,950 | 45.4 |
Florida | |||||||||
Broward County | 1,975 | 20,030 | 9.9 | 2,906 | 20,470 | 14.2 | 3,837 | 20,470 | 18.7 |
Duval County | 243 | 9,250 | 2.6 | 367 | 8,970 | 4.1 | 496 | 8,970 | 5.5 |
Hillsborough County | 613 | 12,670 | 4.8 | 1,094 | 12,910 | 8.5 | 1,385 | 12,910 | 10.7 |
Miami-Dade County | 1,936 | 22,190 | 8.7 | 3,796 | 21,760 | 17.4 | 6,462 | 21,760 | 29.7 |
Orange County | 1,011 | 16,500 | 6.1 | 1,870 | 15,310 | 12.2 | 2,782 | 15,310 | 18.2 |
Palm Beach County | 366 | 7,620 | 4.8 | 577 | 9,170 | 6.3 | 883 | 9,170 | 9.6 |
Pinellas County | 481 | 10,470 | 4.6 | 820 | 9,530 | 8.6 | 1,139 | 9,530 | 12.0 |
Georgia | |||||||||
Cobb County | 272 | 3,570 | 7.6 | 388 | 3,070 | 12.6 | 569 | 3,070 | 18.5 |
DeKalb County | 863 | 6,370 | 13.5 | 1,170 | 6,290 | 18.6 | 1,539 | 6,290 | 24.5 |
Fulton County | 1,884 | 12,060 | 15.6 | 2,553 | 13,120 | 19.5 | 3,298 | 13,120 | 25.1 |
Gwinnett County | 318 | 3,390 | 9.4 | 458 | 3,240 | 14.1 | 686 | 3,240 | 21.2 |
Illinois | |||||||||
Cook County | 8,490 | 38,270 | 22.2 | 11,420 | 39,060 | 29.2 | 13,619 | 39,060 | 34.9 |
Indiana | |||||||||
Marion County | 688 | 8,490 | 8.1 | 867 | 9,150 | 9.5 | 1,149 | 9,150 | 12.6 |
Louisiana | |||||||||
East Baton Rouge Parish | 223 | 1,290 | 17.3 | 437 | 1,810 | 24.1 | 489 | 1,810 | 27.0 |
Orleans Parish | 860 | 5,230 | 16.4 | 1,193 | 4,590 | 26.0 | 1,512 | 4,590 | 32.9 |
Maryland | |||||||||
Baltimore City | 466 | 6,000 | 7.8 | 655 | 6,330 | 10.3 | 900 | 6,330 | 14.2 |
Montgomery County | 513 | 5,790 | 8.9 | 765 | 5,770 | 13.3 | 894 | 5,770 | 15.5 |
Prince George’s County | 439 | 3,830 | 11.5 | 653 | 4,040 | 16.2 | 799 | 4,040 | 19.8 |
Massachusetts | |||||||||
Suffolk County | 1,673 | 7,050 | 23.7 | 2,219 | 6,520 | 34.0 | 2762 | 6,520 | 42.4 |
Michigan | |||||||||
Wayne County | 686 | 9,470 | 7.2 | 1,020 | 9,270 | 11.0 | 1,201 | 9,270 | 13.0 |
Nevada | |||||||||
Clark County | 889 | 8,790 | 10.1 | 1,244 | 11,670 | 10.7 | 1,860 | 11,670 | 15.9 |
New Jersey | |||||||||
Essex County | 393 | 5,190 | 7.6 | 576 | 4,090 | 14.1 | 679 | 4,090 | 16.6 |
Hudson County | 629 | 4,720 | 13.3 | 859 | 4,650 | 18.5 | 1,057 | 4,650 | 22.7 |
New York | |||||||||
Bronx County | 1,290 | 6,690 | 19.3 | 1,984 | 5,570 | 35.6 | 2,194 | 5,570 | 39.4 |
Kings County | 4,745 | 15,300 | 31.0 | 6,324 | 15,650 | 40.4 | 7,574 | 15,650 | 48.4 |
New York County | 9,453 | 14,790 | 63.9 | 12,162 | 15,540 | 78.3 | 14,147 | 15,540 | 91.0 |
Queens County | 2,487 | 8,740 | 28.5 | 3,272 | 9,230 | 35.4 | 3,857 | 9,230 | 41.8 |
North Carolina | |||||||||
Mecklenburg County | 654 | 9,430 | 6.9 | 965 | 8,450 | 11.4 | 1,343 | 8,450 | 15.9 |
Ohio | |||||||||
Cuyahoga County | 596 | 8,200 | 7.3 | 811 | 7,520 | 10.8 | 953 | 7,520 | 12.7 |
Franklin County | 1,286 | 13,660 | 9.4 | 1,616 | 11,620 | 13.9 | 2,032 | 11,620 | 17.5 |
Hamilton County | 259 | 6,430 | 4.0 | 434 | 7,720 | 5.6 | 564 | 7,720 | 7.3 |
Pennsylvania | |||||||||
Philadelphia County | 2,356 | 8,550 | 27.6 | 3,221 | 9,840 | 32.7 | 3,650 | 9,840 | 37.1 |
Puerto Rico | |||||||||
San Juan Municipiod | 16 | 2,190 | 0.7 | 21 | 2,190 | 1.0 | 25 | 2,190 | 1.1 |
Tennessee | |||||||||
Shelby County | 301 | 7,590 | 4.0 | 460 | 6,450 | 7.1 | 633 | 6,450 | 9.8 |
Texas | |||||||||
Bexar County | 665 | 13,010 | 5.1 | 1,142 | 11,920 | 9.6 | 1,530 | 11,920 | 12.8 |
Dallas County | 2,119 | 22,000 | 9.6 | 3,230 | 28,670 | 11.3 | 4,095 | 28,670 | 14.3 |
Harris County | 2,520 | 39,780 | 6.3 | 3,937 | 40,670 | 9.7 | 4,929 | 40,670 | 12.1 |
Tarrant County | 658 | 11,550 | 5.7 | 1,170 | 11,340 | 10.3 | 1,452 | 11,340 | 12.8 |
Travis County | 2,176 | 10,810 | 20.1 | 3,346 | 11,590 | 28.9 | 4,527 | 11,590 | 39.1 |
Washington | |||||||||
King County | 4,557 | 13,690 | 33.3 | 5,769 | 17,890 | 32.2 | 6,890 | 17,890 | 38.5 |
2020 (COVID-19 pandemic) | 2021 | 2022 (January – September) | |||||||
---|---|---|---|---|---|---|---|---|---|
Persons prescribed PrEPa | Persons with PrEP indicationsb | PrEP coveragec | Persons prescribed PrEPa | Persons with PrEP indicationsb | PrEP coveragec | Persons prescribed PrEPa | Persons with PrEP indicationsb | PrEP coveragec | |
No. | No. | % | No. | No. | % | No. | No. | % | |
Arizona | |||||||||
Maricopa County | 3,891 | 22,720 | 17.1 | 5,026 | 22,720 | 22.1 | 5,618 | 22,720 | 24.7 |
California | |||||||||
Alameda County | 2,013 | 8,930 | 22.5 | 2,217 | 8,930 | 24.8 | 2,389 | 8,930 | 26.8 |
Los Angeles County | 14,705 | 67,450 | 21.8 | 18,457 | 67,450 | 27.4 | 20,495 | 67,450 | 30.4 |
Orange County | 2,195 | 10,510 | 20.9 | 2,832 | 10,510 | 26.9 | 2,917 | 10,510 | 27.8 |
Riverside County | 1,933 | 11,080 | 17.4 | 2,538 | 11,080 | 22.9 | 2,809 | 11,080 | 25.4 |
Sacramento County | 976 | 5,920 | 16.5 | 1,103 | 5,920 | 18.6 | 1,197 | 5,920 | 20.2 |
San Bernardino County | 816 | 11,890 | 6.9 | 1,190 | 11,890 | 10.0 | 1,340 | 11,890 | 11.3 |
San Diego County | 3,795 | 14,500 | 26.2 | 4,430 | 14,500 | 30.6 | 4,707 | 14,500 | 32.5 |
San Francisco County | 8,133 | 10,840 | 75.0 | 8,189 | 10,840 | 75.5 | 8,116 | 10,840 | 74.9 |
District of Columbia | 5,967 | 12,950 | 46.1 | 6,790 | 12,950 | 52.4 | 6,945 | 12,950 | 53.6 |
Florida | |||||||||
Broward County | 6,779 | 20,470 | 33.1 | 8,328 | 20,470 | 40.7 | 7,070 | 20,470 | 34.5 |
Duval County | 720 | 8,970 | 8.0 | 883 | 8,970 | 9.8 | 1,188 | 8,970 | 13.2 |
Hillsborough County | 1,534 | 12,910 | 11.9 | 2,043 | 12,910 | 15.8 | 2,284 | 12,910 | 17.7 |
Miami-Dade County | 10,190 | 21,760 | 46.8 | 11,410 | 21,760 | 52.4 | 9,361 | 21,760 | 43.0 |
Orange County | 3,879 | 15,310 | 25.3 | 4,722 | 15,310 | 30.8 | 5,008 | 15,310 | 32.7 |
Palm Beach County | 3,008 | 9,170 | 32.8 | 2,760 | 9,170 | 30.1 | 2,073 | 9,170 | 22.6 |
Pinellas County | 1,225 | 9,530 | 12.9 | 1,655 | 9,530 | 17.4 | 1,876 | 9,530 | 19.7 |
Georgia | |||||||||
Cobb County | 656 | 3,070 | 21.4 | 812 | 3,070 | 26.4 | 825 | 3,070 | 26.9 |
DeKalb County | 1,680 | 6,290 | 26.7 | 2,016 | 6,290 | 32.1 | 2,012 | 6,290 | 32.0 |
Fulton County | 3,590 | 13,120 | 27.4 | 4,269 | 13,120 | 32.5 | 4,235 | 13,120 | 32.3 |
Gwinnett County | 797 | 3,240 | 24.6 | 1,005 | 3,240 | 31.0 | 1,027 | 3,240 | 31.7 |
Illinois | |||||||||
Cook County | 12,891 | 39,060 | 33.0 | 14,755 | 39,060 | 37.8 | 15,455 | 39,060 | 39.6 |
Indiana | |||||||||
Marion County | 1,209 | 9,150 | 13.2 | 1,591 | 9,150 | 17.4 | 1,788 | 9,150 | 19.5 |
Louisiana | |||||||||
East Baton Rouge Parish | 529 | 1,810 | 29.2 | 584 | 1,810 | 32.3 | 536 | 1,810 | 29.6 |
Orleans Parish | 1,328 | 4,590 | 28.9 | 1,517 | 4,590 | 33.1 | 1,486 | 4,590 | 32.4 |
Maryland | |||||||||
Baltimore City | 841 | 6,330 | 13.3 | 974 | 6,330 | 15.4 | 984 | 6,330 | 15.5 |
Montgomery County | 898 | 5,770 | 15.6 | 1,151 | 5,770 | 19.9 | 1,258 | 5,770 | 21.8 |
Prince George’s County | 819 | 4,040 | 20.3 | 984 | 4,040 | 24.4 | 949 | 4,040 | 23.5 |
Massachusetts | |||||||||
Suffolk County | 2,798 | 6,520 | 42.9 | 2,809 | 6,520 | 43.1 | 3,136 | 6,520 | 48.1 |
Michigan | |||||||||
Wayne County | 1,230 | 9,270 | 13.3 | 1,554 | 9,270 | 16.8 | 1,613 | 9,270 | 17.4 |
Nevada | |||||||||
Clark County | 2,094 | 11,670 | 17.9 | 4,284 | 11,670 | 36.7 | 3,491 | 11,670 | 29.9 |
New Jersey | |||||||||
Essex County | 710 | 4,090 | 17.4 | 836 | 4,090 | 20.4 | 869 | 4,090 | 21.2 |
Hudson County | 1,065 | 4,650 | 22.9 | 1,301 | 4,650 | 28.0 | 1,384 | 4,650 | 29.8 |
New York | |||||||||
Bronx County | 2,011 | 5,570 | 36.1 | 2,074 | 5,570 | 37.2 | 1,853 | 5,570 | 33.3 |
Kings County | 7,432 | 15,650 | 47.5 | 8,871 | 15,650 | 56.7 | 9,080 | 15,650 | 58.0 |
New York County | 13,748 | 15,540 | 88.5 | 15,745 | 15,540 | 101.3 | 16,059 | 15,540 | 103.3 |
Queens County | 3,795 | 9,230 | 41.1 | 4,279 | 9,230 | 46.4 | 4,514 | 9,230 | 48.9 |
North Carolina | |||||||||
Mecklenburg County | 1,575 | 8,450 | 18.6 | 1,974 | 8,450 | 23.4 | 2,069 | 8,450 | 24.5 |
Ohio | |||||||||
Cuyahoga County | 963 | 7,520 | 12.8 | 1,261 | 7,520 | 16.8 | 1,445 | 7,520 | 19.2 |
Franklin County | 2,301 | 11,620 | 19.8 | 2,731 | 11,620 | 23.5 | 2,793 | 11,620 | 24.0 |
Hamilton County | 638 | 7,720 | 8.3 | 815 | 7,720 | 10.6 | 862 | 7,720 | 11.2 |
Pennsylvania | |||||||||
Philadelphia County | 3,500 | 9,840 | 35.6 | 4,049 | 9,840 | 41.1 | 4,345 | 9,840 | 44.2 |
Puerto Rico | |||||||||
San Juan Municipiod | 27 | 2,190 | 1.2 | 62 | 2,190 | 2.8 | 99 | 2,190 | 4.5 |
Tennessee | |||||||||
Shelby County | 812 | 6,450 | 12.6 | 941 | 6,450 | 14.6 | 1,002 | 6,450 | 15.5 |
Texas | |||||||||
Bexar County | 1,783 | 11,920 | 15.0 | 2,355 | 11,920 | 19.8 | 2,508 | 11,920 | 21.0 |
Dallas County | 5,152 | 28,670 | 18.0 | 6,544 | 28,670 | 22.8 | 6,432 | 28,670 | 22.4 |
Harris County | 5,977 | 40,670 | 14.7 | 7,479 | 40,670 | 18.4 | 7,679 | 40,670 | 18.9 |
Tarrant County | 1,635 | 11,340 | 14.4 | 2,104 | 11,340 | 18.6 | 2,190 | 11,340 | 19.3 |
Travis County | 5,043 | 11,590 | 43.5 | 5,784 | 11,590 | 49.9 | 5,914 | 11,590 | 51.0 |
Washington | |||||||||
King County | 6,965 | 17,890 | 38.9 | 7,634 | 17,890 | 42.7 | 7,999 | 17,890 | 44.7 |
Abbreviations: PrEP, preexposure prophylaxis; FDA, Food and Drug Administration [footnotes only].
Note. Data for years 2020 and 2021 should be interpreted with caution due to the impact of the COVID-19 pandemic on filling PrEP prescriptions in state/local jurisdictions.
a Estimated by using data from IQVIA pharmacy database reported through September 2022 based on an algorithm that included FDA-approved drugs for PrEP. Data for which values are unknown were not reported thus values may not sum to column total.
b Estimated by using 2017 and 2018 data from National HIV Surveillance System, National Health and Nutrition Examination Survey, and U.S. Census Bureau’s American Community Survey. Data are rounded to the nearest 10. Data for which values are unknown were not reported; thus, values may not sum to column total. The data sources used to estimate the number of persons with indications for PrEP have different schedules of data availability. Consequently, the availability of a denominator may lag the availability of a numerator. In this table, 2017 denominators were used for 2017 PrEP coverage data; 2018 denominators were used for 2018–2022 PrEP coverage data.
c PrEP coverage, reported as a percentage, was calculated as the number who have been prescribed PrEP divided by the estimated number of persons who had indications for PrEP.
d Number of persons with PrEP indications in San Juan Municipio is not available in 2017. Number of persons with PrEP indications in 2018 is used for 2017 denominator.
e Data value <40 was not reported due to unreliability.
Jurisdictions | Territories | States |
---|---|---|
Arizona | Puerto Ricoa | Alabama |
Maricopa County | San Juan Municipioa | Arkansas |
California | Kentucky | |
Alameda County | Mississippi | |
Los Angeles County | Missouri | |
Orange County | Oklahoma | |
Riverside County | South Carolina | |
Sacramento County | ||
San Bernardino County | ||
San Diego County | ||
San Francisco County | ||
District of Columbia | ||
Florida | ||
Broward County | ||
Duval County | ||
Hillsborough County | ||
Miami-Dade County | ||
Orange County | ||
Palm Beach County | ||
Pinellas County | ||
Georgia | ||
Cobb County | ||
DeKalb County | ||
Fulton County | ||
Gwinnett County | ||
Illinois | ||
Cook County | ||
Indiana | ||
Marion County | ||
Louisiana | ||
East Baton Rouge Parish | ||
Orleans Parish | ||
Maryland | ||
Baltimore City | ||
Montgomery County | ||
Prince George’s County | ||
Massachusetts | ||
Suffolk County | ||
Michigan | ||
Wayne County | ||
Nevada | ||
Clark County | ||
New Jerseya | ||
Essex County | ||
Hudson County | ||
New York | ||
Bronx County | ||
Kings County | ||
New York County | ||
Queens County | ||
North Carolina | ||
Mecklenburg County | ||
Ohio | ||
Cuyahoga County | ||
Franklin County | ||
Hamilton County | ||
Pennsylvaniaa | ||
Philadelphia County | ||
Tennessee | ||
Shelby County | ||
Texas | ||
Bexar County | ||
Dallas County | ||
Harris County | ||
Tarrant County | ||
Travis County | ||
Washington | ||
King County |
Abbreviation: CDC, the Centers for Disease Control and Prevention [footnotes only].
Note. For more information on the Ending the HIV Epidemic in the U.S. initiative, see https://www.hiv.gov/federal-response/ending-the-hiv-epidemic/overview.
a Linkage to care and viral suppression data are not provided for states and associated jurisdictions that have incomplete reporting of laboratory data to CDC: New Jersey, Pennsylvania (excluding Philadelphia), and Puerto Rico.
Indicator | 2017a | 2018 | 2019 | 2020 (COVID-19 Pandemic) | 2001 |
---|---|---|---|---|---|
Reduce the estimated number of new HIV infections by 90% | 37,000 | 36,100 | 34,800 | 33,600 | 32,100 |
Increase the percentage of people living with HIV who know their serostatus to at least 95% (knowledge of HIV status) | 85.8 | 86.4 | 86.7 | 87.0 | 87.3 |
Reduce the number of new HIV diagnoses by 90%b | 38,351 | 37,299 | 36,421 | 30,275 | 35,716 |
Increase the percentage of persons with newly diagnosed HIV infection linked to HIV medical care within one month of diagnosis to at least 95% | 77.8 | 80.2 | 81.3 | 82.4 | 81.9 |
Increase the percentage of persons with diagnosed HIV infection who are virally suppressed to at least 95% | 63.1 | 64.7 | 65.5 | 64.6 | 65.9 |
Increase the percentage of the estimated number of persons with indications for PrEP who have been classified as having been prescribed PrEP to at least 50% (PrEP coverage)c | 12.7 | 18.1 | 22.6 | 24.7 | 30.1 |
Abbreviations: PrEP, preexposure prophylaxis; CDC, Centers for Disease Control and Prevention [footnotes only].
Note. Information on Ending the HIV Epidemic in the U.S. can be found at https://www.hiv.gov/federal-response/ending-the-hiv-epidemic/overview.
a Baseline data for EHE indicators, published at https://www.cdc.gov/hiv/pdf/library/reports/surveillance-data-tables/vol-1-no-1/cdc-hiv-surveillance-tables-vol-1-no-1.pdf. Baseline data for PrEP EHE indicator published at https://www.cdc.gov/hiv/library/reports/surveillance-data-tables/vol-2-no-2/index.html.
b Persons aged ≥13 years only.
c PrEP coverage, reported as a percentage, was calculated as the number of persons classified as having been been prescribed PrEP divided by the estimated number of persons who had indications for PrEP.