Core Indicators for Monitoring the Ending the HIV Epidemic Initiative (Early Release)
Core Indicators for Monitoring the Ending the HIV Epidemic Initiative (Early Release): National HIV Surveillance System Data Reported through December 2020; and Preexposure Prophylaxis (PrEP) Data Reported through September 2020
This issue of HIV Surveillance Data Tables is published by the Division of HIV/AIDS Prevention (DHAP), National Center for HIV/AIDS, 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 2020 and preexposure prophylaxis (PrEP) data reported through September 2020.
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 (early release): National HIV Surveillance System data reported through December 2020; and preexposure prophylaxis (PrEP) data reported through September 2020. HIV Surveillance Data Tables 2021;2(No. 2). http://www.cdc.gov/hiv/library/reports/surveillance-data-tables/vol-2-no-2/index.html. Published March 2021. Accessed [date].
The Ending the HIV Epidemic: A Plan for America (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% in 5 years, and by at least 90% in 10 years. 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.
The included early release 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.
- HIV diagnoses: 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.
Surveillance of HIV Infection
Data presented were reported (after the removal of personally identifiable information) to the Centers for Disease Control and Prevention (CDC) through December 31, 2020. Please use caution when interpreting the following:
- 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 (knowledge of status and HIV viral suppression). Data for the year 2019 are preliminary and based on deaths reported to CDC as of December 2020.
- Numbers less than 12 and trends based on these numbers.
- All data for the year 2020 are considered preliminary (provided using an NHSS dataset produced prior to reaching a 12-month reporting lag) and may be incomplete due to the impact of the COVID-19 pandemic on HIV case surveillance activities in state/local jurisdictions [2].
Tabulation and Presentation of Data
New HIV Infections
New HIV infections among persons aged ≥ 13 years are estimated using the first CD4+ T-lymphocyte (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 Estimated HIV incidence and prevalence in the United States, 2014–2018 pdf icon[PDF – 2.5 MB].
HIV Prevalence and Diagnosed Infection
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 2019 are preliminary and based on death data reported to CDC as of December 2020. The following areas had incomplete reporting of deaths for the year 2019, and prevalence estimates should be interpreted with caution: Kansas, Massachusetts, Mississippi, Nevada, North Dakota, and Vermont. 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 and Pennsylvania (excluding Philadelphia). Areas with incomplete reporting: Kansas, Kentucky, New Jersey, Puerto Rico, and Vermont.
More information on calculating HIV prevalence and percentage of persons with diagnosed HIV infection can be found at Estimated HIV incidence and prevalence in the United States, 2014–2018 pdf icon[PDF – 2.5 MB].
Diagnoses of HIV Infection
Diagnoses of HIV infection are the numbers of persons aged ≥13 years with HIV diagnosed during 2017–2020 (Tables 3a–d).
Data reported to NHSS are considered preliminary until a 12-month reporting lag has been reached and should be interpreted with caution. In addition to being preliminary, data for the year 2020 should be interpreted with caution due to the impact of the COVID-19 pandemic on HIV case surveillance activities in state and local jurisdictions.
More information on counting diagnoses of HIV infection can be found at HIV Surveillance Report, 2018 [Updated].
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 2019 through September 2020, 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 the specified period, 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 the specified period. Reporting of linkage to HIV medical care data requires a minimum 3-month reporting lag to account for delays in reporting of laboratory results to NHSS; therefore, data for the year 2020 on linkage to HIV medical care in these surveillance tables are for persons with HIV diagnosed during January through September of 2020 and that were reported to NHSS through December 2020. 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 and Pennsylvania (excluding Philadelphia). Areas with incomplete reporting: Kansas, Kentucky, New Jersey, Puerto Rico, and Vermont.
Data reported to NHSS are considered preliminary until a 12-month reporting lag has been reached; preliminary data should be interpreted with caution. In addition to being preliminary, data for the year 2020 should be interpreted with caution due to the impact of the COVID-19 pandemic on HIV case surveillance activities in state/local jurisdictions.
More information on calculating linkage to care can be found at Monitoring selected national HIV prevention and care objectives by using HIV surveillance data—United States and 6 dependent areas, 2018 pdf icon[PDF – 3.8 MB].
Viral Suppression
Viral suppression at most recent test during the specified year is measured for persons aged ≥ 13 years who resided, as of their most recent known address during the specified year, 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 the specified year (Tables 5a–c). The numerator is the number of persons aged ≥ 13 years with HIV infection diagnosed by the end of the prior year, and who had a VL of < 200 copies/mL at the most recent test in the specified year. The denominator is the number of persons aged ≥ 13 years whose HIV infection was diagnosed by the end of the prior year, and who were alive at the end of the specified year. Viral suppression data for the year 2019 are preliminary. Data used to calculate prevalence are based on deaths reported to CDC as of December 2020. The following areas had incomplete reporting of deaths for the year 2019, and viral suppression data should be interpreted with caution: Kansas, Massachusetts, Mississippi, Nevada, North Dakota, and Vermont. Data are not provided for states and associated EHE Phase I 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 and Pennsylvania (excluding Philadelphia). Areas with incomplete lab reporting: Kansas, Kentucky, New Jersey, Puerto Rico, and Vermont.
More information on calculating viral suppression can be found at Monitoring selected national HIV prevention and care objectives by using HIV surveillance data—United States and 6 dependent areas, 2018 pdf icon[PDF – 3.8 MB].
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).
Number of persons prescribed, which is reported as a case count, is defined as the number of persons aged ≥16 years classified as having been prescribed PrEP during the specified year.
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 92% of all prescriptions from retail pharmacies and 60%–86% 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 [3–5]. 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. Starting in 2019, TAF/FTC was included in the algorithm 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) [6], and (b) the U.S Department of Housing and Urban Development’s ZIP Code Crosswalk Files [7]. Because of reliability concerns, subnational estimates of <40 are not included.
Persons with PrEP indications
ACS and US Census Bureau files were used to estimate the number of MSM (men who have sex with men) in a jurisdiction [8.9].. 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 [10]. For the 2018 denominator, this proportion was updated with recent NHANES data.
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 [8]. Jurisdictional estimates were rounded to the nearest 10. Beginning in 2017, methods were adjusted to provide the estimated number of persons of other races/ethnicities (including Asians and other race/ethnic groups), in addition to Blacks/African Americans, Hispanics/Latinos, and whites. Also beginning in 2017, an adjustment was applied to calculate an estimated number of persons with PrEP indications in counties with suppressed data for the number of HIV diagnoses in some transmission risk groups, age groups, or race/ethnicity groups.
The tables included in this report provide updated data on PrEP coverage for the year 2017 and 2018 and preliminary data for the year 2019 and for the year 2020 (from January through September) using the IQVIA data reported through September 2020. 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 by approximately 1 year. PrEP coverage data with a lagged denominator are considered preliminary. For this release of HIV Surveillance Data Tables, 2017 denominators were used for 2017 PrEP coverage data; 2018 denominators were used for 2018, 2019, and 2020 PrEP coverage data. 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.
More information on calculating PrEP coverage can be found at Monitoring selected national HIV prevention and care objectives by using HIV surveillance data—United States and 6 dependent areas, 2018. pdf icon[PDF – 3.8 MB]
References
- HHS. What is ‘Ending the HIV Epidemic: A Plan for America’? https://www.hiv.gov/federal-response/ending-the-hiv-epidemic/overviewexternal icon. Published October 4, 2019. February 4, 2021.
- 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.mm6918e2external icon
- 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 (2009-2018). https://www.census.gov/data/developers/data-sets/acs-5year.2016.htmlexternal icon. Published December 19, 2019. Accessed February 4, 2021.
- U.S. Department of Housing and Urban Development (HUD). HUD USPS ZIP code crosswalk files. https://www.huduser.gov/portal/datasets/usps_crosswalk.htmlexternal icon. Published 2019. February 4, 2021.
- Grey JA, Bernstein KT, Sullivan PS, Purcell DW, Chesson HW, Gift TL, Rosenberg ES. 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 and surveillance. 2016;2(1):e14.
- Purcell DW, Johnson CH, Lansky A, Prejean J, Stein R, Denning P, 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
- 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
Suggested Citation
Centers for Disease Control and Prevention. Core indicators for monitoring the Ending the HIV Epidemic initiative (early release): National HIV Surveillance System data reported through December 2020; and preexposure prophylaxis (PrEP) data reported through September 2020. HIV Surveillance Data Tables 2021;2(No. 2). http://www.cdc.gov/hiv/library/reports/surveillance-data-tables/vol-2-no-2/index.html. Published March 2021. Accessed [date].
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Acknowledgments
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.
HIV Surveillance Data Tables was prepared by the following staff and contractors of the Division of HIV/AIDS Prevention, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, CDC: Anna Satcher Johnson, Zanetta Gant, Ya-lin Huang, Dawn Smith, Rick Song, Baohua Wu, Xiaohong Hu, Jianmin Li, Shihua Wang, Chan Jin, Chenchen Yu, Weiming Zhu, Anne Patala, Lei Yu, Norma Harris, and Michael Friend and the Web and Consumer Services Team of the Prevention Communications Branch (editing and desktop publishing).
2017 | 2018 | 2019 | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
No. | RSE | 95% CI | No. | RSE | 95% CI | No. | RSE | 95% CI | ||||
Sex at birth | ||||||||||||
Male | 30,000 | 2.7 | 28,400 | 31,600 | 29,600 | 3.2 | 27,700 | 31,400 | 28,400 | 3.8 | 26,300 | 30,500 |
Female | 6,700 | 5.1 | 6,100 | 7,400 | 6,700 | 5.7 | 5,900 | 7,400 | 6,400 | 6.6 | 5,600 | 7,200 |
Age at infection (yr) | ||||||||||||
13–24 | 8,600 | 4.9 | 7,700 | 9,400 | 7,800 | 6.1 | 6,800 | 8,700 | 7,200 | 7.4 | 6,200 | 8,300 |
25–34 | 14,100 | 3.9 | 13,000 | 15,200 | 14,300 | 4.5 | 13,000 | 15,500 | 13,800 | 5.3 | 12,400 | 15,300 |
35–44 | 6,700 | 5.6 | 5,900 | 7,400 | 6,900 | 6.4 | 6,100 | 7,800 | 6,900 | 7.4 | 5,900 | 7,900 |
45–54 | 4,400 | 6.9 | 3,800 | 5,000 | 4,200 | 8.1 | 3,600 | 4,900 | 3,800 | 9.9 | 3,100 | 4,600 |
≥55 | 3,000 | 8.5 | 2,500 | 3,400 | 3,100 | 9.5 | 2,500 | 3,600 | 3,100 | 10.9 | 2,400 | 3,800 |
Race/ethnicity | ||||||||||||
American Indian/Alaska Native | 190 | *33.5 | 70 | 320 | 210 | *37.8 | 50 | 370 | 230 | *41.2 | 40 | 420 |
Asian | 620 | 19.2 | 380 | 850 | 580 | 23.2 | 320 | 850 | 550 | 26.8 | 260 | 840 |
Black/African American | 14,900 | 3.7 | 13,800 | 16,000 | 14,800 | 4.3 | 13,500 | 16,000 | 14,300 | 5.1 | 12,900 | 15,700 |
Hispanic/Latinoa | 10,800 | 4.7 | 9,800 | 11,800 | 11,000 | 5.5 | 9,800 | 12,200 | 10,200 | 6.7 | 8,900 | 11,600 |
Native Hawaiian/other Pacific Islander | … | … | … | … | … | … | … | … | … | … | … | … |
White | 9,100 | 4.5 | 8,300 | 9,800 | 8,700 | 5.3 | 7,800 | 9,600 | 8,600 | 6.1 | 7,600 | 9,600 |
Multiracial | 1,100 | 14.3 | 810 | 1,400 | 940 | 17.9 | 610 | 1,300 | 900 | 20.9 | 530 | 1,300 |
Transmission categoryb | ||||||||||||
Male-to-male sexual contact | 24,900 | 2.9 | 23,400 | 26,300 | 24,100 | 3.5 | 22,500 | 25,800 | 23,100 | 4.2 | 21,200 | 25,000 |
Injection drug use | 2,300 | 8.5 | 1,900 | 2,700 | 2,500 | 9.5 | 2,000 | 3,000 | 2,500 | 11.3 | 1,900 | 3,000 |
Male | 1,300 | 12.3 | 970 | 1,600 | 1,500 | 13.2 | 1,100 | 1,800 | 1,400 | 16.2 | 940 | 1,800 |
Female | 1,000 | 11.2 | 810 | 1,300 | 1,000 | 13.1 | 770 | 1,300 | 1,100 | 15.4 | 750 | 1,400 |
Male-to-male sexual contact and injection drug use | 1,300 | 11.1 | 1,000 | 1,600 | 1,400 | 11.8 | 1,100 | 1,800 | 1,400 | 13.4 | 1,100 | 1,800 |
Heterosexual contactc | 8,200 | 5.3 | 7,300 | 9,000 | 8,200 | 5.9 | 7,200 | 9,100 | 7,800 | 6.8 | 6,700 | 8,800 |
Male | 2,500 | 11.5 | 1,900 | 3,100 | 2,600 | 12.7 | 1,900 | 3,200 | 2,400 | 14.5 | 1,700 | 3,100 |
Female | 5,700 | 5.6 | 5,000 | 6,300 | 5,600 | 6.4 | 4,900 | 6,300 | 5,300 | 7.4 | 4,600 | 6,100 |
Region of residence | ||||||||||||
Northeast | 5,100 | 6.4 | 4,500 | 5,800 | 4,900 | 7.5 | 4,200 | 5,600 | 4,700 | 9.1 | 3,900 | 5,500 |
Midwest | 4,900 | 6.5 | 4,200 | 5,500 | 4,700 | 7.6 | 4,000 | 5,400 | 4,500 | 9.0 | 3,700 | 5,300 |
South | 19,200 | 3.3 | 17,900 | 20,400 | 19,100 | 3.9 | 17,600 | 20,500 | 18,500 | 4.5 | 16,800 | 20,100 |
West | 7,500 | 5.3 | 6,800 | 8,300 | 7,600 | 6.2 | 6,700 | 8,500 | 7,100 | 7.4 | 6,100 | 8,200 |
Totald | 36,700 | 2.4 | 35,000 | 38,400 | 36,200 | 2.8 | 34,300 | 38,200 | 34,800 | 3.3 | 32,600 | 37,100 |
Abbreviations: RSE, relative standard error; CI, confidence interval; CD4, CD4+ T-lymphocyte count (cells/μL) or percentage (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 the uncertainty.
Estimates with an RSE of 30%–50% are preceded by an asterisk (*) and should be used with caution because they do not meet the standard of reliability.
Estimates with an RSE>50% are not shown and are replaced with an ellipsis (…).
aHispanic/Latino persons can be of any race.
bData by transmission category have been statistically adjusted to account for missing risk-factor information.
cHeterosexual contact with a person known to have, or with a risk factor for, HIV infection.
dIncludes persons with HIV infection attributed to hemophilia or blood transfusion, or whose risk factor was not reported or not identified.
2017 | 2018 | 2019 | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Area of residence | No. | RSE | 95% CI | No. | RSE | 95% CI | No. | RSE | 95% CI | |||
Alabama | 630 | 18.1 | 400 | 850 | 600 | 21.3 | 350 | 850 | 570 | 25.7 | 280 | 860 |
Alaska | … | … | … | … | … | … | … | … | … | … | … | … |
Arizona | 840 | 16.4 | 570 | 1,100 | 870 | 19.0 | 550 | 1,200 | 800 | 23.2 | 440 | 1,200 |
Arkansas | 300 | 28.0 | 130 | 460 | 240 | *37.3 | 60 | 410 | 330 | *35.3 | 100 | 560 |
California | 4,600 | 6.6 | 4,000 | 5,200 | 4,500 | 7.6 | 3,900 | 5,200 | 4,000 | 9.6 | 3,300 | 4,800 |
Colorado | 440 | 22.4 | 250 | 630 | 430 | 26.5 | 210 | 650 | 510 | 28.2 | 230 | 800 |
Connecticut | 250 | 28.6 | 110 | 380 | 190 | *39.4 | 40 | 340 | 160 | *49.4 | 0 | 320 |
Delaware | 120 | *36.8 | 30 | 210 | … | … | … | … | … | … | … | … |
District of Columbia | 210 | 29.7 | 90 | 330 | 230 | 29.9 | 100 | 370 | 190 | *38.2 | 50 | 330 |
Florida | 4,400 | 6.4 | 3,900 | 5,000 | 4,300 | 7.5 | 3,700 | 4,900 | 4,000 | 8.9 | 3,300 | 4,700 |
Georgia | 2,500 | 9.2 | 2,100 | 3,000 | 2,500 | 11.0 | 2,000 | 3,000 | 2,400 | 13.1 | 1,800 | 3,000 |
Hawaii | 100 | *44.8 | 10 | 180 | … | … | … | … | … | … | … | … |
Idahoa | … | … | … | … | … | … | … | … | … | … | … | … |
Illinois | 1,300 | 12.6 | 970 | 1,600 | 1,300 | 14.4 | 930 | 1,700 | 1,200 | 17.7 | 790 | 1,600 |
Indiana | 530 | 21.1 | 310 | 750 | 580 | 22.6 | 330 | 840 | 540 | 28.3 | 240 | 850 |
Iowa | 100 | *49.9 | 0 | 210 | … | … | … | … | … | … | … | … |
Kansasa | … | … | … | … | … | … | … | … | 210 | *42.3 | 40 | 390 |
Kentuckya | 310 | 26.1 | 150 | 470 | 420 | 24.2 | 220 | 620 | 340 | *33.1 | 120 | 560 |
Louisiana | 1,000 | 15.0 | 700 | 1,300 | 1,100 | 16.5 | 720 | 1,400 | 870 | 22.3 | 490 | 1,300 |
Maine | … | … | … | … | … | … | … | … | … | … | … | … |
Maryland | 760 | 16.7 | 510 | 1,000 | 830 | 17.2 | 550 | 1,100 | 740 | 21.0 | 430 | 1,000 |
Massachusetts | 570 | 18.3 | 360 | 770 | 680 | 18.2 | 430 | 920 | 530 | 24.6 | 270 | 780 |
Michigan | 720 | 17.3 | 470 | 960 | 670 | 20.8 | 400 | 950 | 630 | 25.0 | 320 | 930 |
Minnesota | 250 | 29.2 | 110 | 390 | 290 | *31.4 | 110 | 470 | 260 | *37.8 | 70 | 450 |
Mississippi | 480 | 26.1 | 230 | 720 | 440 | *32.4 | 160 | 720 | 550 | *32.9 | 190 | 900 |
Missouri | 520 | 17.9 | 340 | 700 | 480 | 22.5 | 270 | 690 | 450 | 26.3 | 220 | 680 |
Montana | … | … | … | … | … | … | … | … | … | … | … | … |
Nebraska | 110 | *42.9 | 20 | 200 | … | … | … | … | … | … | … | … |
Nevada | 570 | 20.9 | 330 | 800 | 610 | 23.3 | 330 | 890 | 740 | 25.0 | 380 | 1,100 |
New Hampshire | … | … | … | … | … | … | … | … | … | … | … | … |
New Jerseya | 1,100 | 15.6 | 750 | 1,400 | 960 | 19.0 | 600 | 1,300 | 990 | 20.8 | 590 | 1,400 |
New Mexico | 140 | *35.6 | 40 | 230 | 180 | *35.7 | 60 | 310 | 170 | *44.0 | 20 | 310 |
New York | 2,200 | 9.5 | 1,800 | 2,600 | 2,000 | 11.5 | 1,600 | 2,500 | 1,800 | 13.9 | 1,300 | 2,300 |
North Carolina | 1,200 | 12.0 | 900 | 1,500 | 1,100 | 14.7 | 760 | 1,400 | 1,200 | 14.9 | 860 | 1,600 |
North Dakota | … | … | … | … | … | … | … | … | … | … | … | … |
Ohio | 970 | 14.7 | 690 | 1,300 | 890 | 17.8 | 580 | 1,200 | 870 | 20.6 | 520 | 1,200 |
Oklahoma | 320 | 25.1 | 160 | 470 | 300 | *31.6 | 110 | 490 | 370 | *33.3 | 130 | 610 |
Oregon | 210 | *31.9 | 80 | 340 | 190 | *39.5 | *40 | 340 | 200 | *44.1 | 30 | 380 |
Pennsylvaniaa | 970 | 19.0 | 610 | 1,300 | 980 | 20.5 | 590 | 1,400 | 800 | 22.1 | 450 | 1,100 |
Puerto Ricoa | 400 | 22.9 | 220 | 580 | 320 | 28.7 | 140 | 510 | 280 | *35.4 | 90 | 480 |
Rhode Island | 80 | *47.2 | 10 | 150 | … | … | … | … | … | … | … | … |
South Carolina | 700 | 19.3 | 430 | 960 | 690 | 22.8 | 380 | 1,000 | 710 | 25.5 | 350 | 1,100 |
South Dakota | … | … | … | … | … | … | … | … | … | … | … | … |
Tennessee | 700 | 15.7 | 490 | 920 | 660 | 18.6 | 420 | 900 | 710 | 19.6 | 440 | 980 |
Texas | 4,400 | 6.9 | 3,800 | 5,000 | 4,500 | 7.8 | 3,800 | 5,200 | 4,500 | 9.2 | 3,700 | 5,300 |
Utah | 110 | *42.6 | 20 | 200 | 130 | *43.2 | 20 | 250 | 150 | *47.3 | 10 | 290 |
Vermonta | … | … | … | … | … | … | … | … | … | … | … | … |
Virginia | 850 | 15.3 | 600 | 1,100 | 800 | 18.1 | 520 | 1,100 | 760 | 21.2 | 440 | 1,100 |
Washington | 480 | 21.2 | 280 | 680 | 520 | 23.3 | 280 | 760 | 540 | 27.3 | 250 | 830 |
West Virginia | 80 | *50.0 | 0 | 170 | 110 | *48.1 | 10 | 220 | 210 | *40.7 | 40 | 380 |
Wisconsin | 240 | 28.2 | 110 | 370 | 190 | *38.5 | 50 | 330 | 210 | *41.1 | 40 | 370 |
Wyoming | … | … | … | … | … | … | … | … | … | … | … | … |
Abbreviations: RSE, relative standard error; CI, confidence interval; CD4, CD4+ T-lymphocyte count (cells/μL) or percentage (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 the uncertainty.
Estimates with an RSE of 30%–50% are preceded by an asterisk (*) and should be used with caution because they do not meet the standard of reliability.
Estimates with an RSE>50% are not shown and are replaced with an ellipsis (…).
aEstimates 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 and New Jersey. Areas with incomplete reporting: Kansas, Kentucky, Pennsylvania (excluding Philadelphia), Puerto Rico, and Vermont.
2017 | 2018 | 2019 | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Area of residence | No. | RSE | 95% CI | No. | RSE | 95% CI | No. | RSE | 95% CI | |||
Arizona | ||||||||||||
Maricopa County | 560 | 19.2 | 350 | 760 | 560 | 22.4 | 320 | 810 | 520 | 27.6 | 240 | 800 |
California | ||||||||||||
Alameda County | 180 | *32.6 | 60 | 290 | 180 | *36.7 | 50 | 320 | 200 | *41.3 | 40 | 360 |
Los Angeles County | 1,400 | 11.4 | 1,100 | 1,800 | 1,400 | 13.1 | 1,100 | 1,800 | 1,300 | 16.0 | 900 | 1,700 |
Orange County | 270 | 26.3 | 130 | 410 | 270 | *30.4 | 110 | 430 | 200 | *40.7 | 40 | 370 |
Riverside County | 270 | 26.5 | 130 | 410 | 270 | *30.0 | 110 | 440 | 260 | *35.9 | 80 | 440 |
Sacramento County | 220 | 29.2 | 90 | 350 | 160 | *39.4 | 40 | 280 | 140 | *48.6 | 10 | 280 |
San Bernardino County | 260 | 26.9 | 120 | 400 | 240 | *31.9 | 90 | 390 | 300 | *33.6 | 100 | 490 |
San Diego County | 450 | 20.5 | 270 | 630 | 430 | 24.2 | 220 | 630 | 360 | *30.7 | 140 | 570 |
San Francisco County | 170 | *33.3 | 60 | 280 | 150 | *40.4 | 30 | 270 | … | … | … | … |
District of Columbia | 210 | 29.7 | 90 | 330 | 230 | 29.9 | 100 | 370 | 190 | *38.2 | 50 | 330 |
Florida | ||||||||||||
Broward County | 650 | 16.0 | 450 | 860 | 550 | 20.0 | 340 | 770 | 560 | 22.8 | 310 | 810 |
Duval County | 260 | 25.5 | 130 | 390 | 230 | *31.0 | 90 | 370 | 190 | *39.2 | 40 | 340 |
Hillsborough County | 290 | 24.2 | 150 | 420 | 270 | 28.4 | 120 | 430 | 210 | *37.1 | 60 | 370 |
Miami-Dade County | 1,200 | 12.0 | 890 | 1,400 | 1,100 | 13.9 | 840 | 1,500 | 1,100 | 16.4 | 740 | 1,400 |
Orange County | 430 | 19.8 | 260 | 600 | 450 | 22.2 | 250 | 650 | 450 | 25.4 | 230 | 680 |
Palm Beach County | 260 | 25.3 | 130 | 390 | 250 | 29.8 | 100 | 400 | 230 | *36.0 | 70 | 390 |
Pinellas County | 150 | *33.6 | 50 | 250 | 140 | *40.2 | 30 | 240 | 150 | *44.6 | 20 | 280 |
Georgia | ||||||||||||
Cobb County | 170 | *33.2 | 60 | 290 | 160 | *41.6 | 30 | 280 | 220 | *41.3 | 40 | 390 |
DeKalb County | 340 | 23.8 | 180 | 500 | 390 | 26.2 | 190 | 590 | 330 | *33.4 | 110 | 550 |
Fulton County | 570 | 18.4 | 360 | 770 | 620 | 20.8 | 370 | 870 | 500 | 27.2 | 230 | 770 |
Gwinnett County | 160 | *34.4 | 50 | 270 | 140 | *43.6 | 20 | 260 | 200 | *42.7 | 30 | 370 |
Illinois | ||||||||||||
Cook County | 940 | 14.5 | 680 | 1,200 | 890 | 17.4 | 580 | 1,200 | 870 | 20.7 | 520 | 1,200 |
Indiana | ||||||||||||
Marion County | 230 | 29.0 | 100 | 350 | 250 | *31.4 | 100 | 400 | 250 | *38.9 | 60 | 430 |
Louisiana | ||||||||||||
East Baton Rouge Parish | 180 | *31.5 | 70 | 290 | 190 | *34.3 | 60 | 320 | 180 | *42.1 | 30 | 330 |
Orleans Parish | 160 | *32.8 | 60 | 270 | 160 | *37.6 | 40 | 280 | 140 | *47.6 | 10 | 270 |
Maryland | ||||||||||||
Baltimore City | 190 | *34.1 | 60 | 310 | 210 | *34.0 | 70 | 350 | 140 | *49.0 | 10 | 280 |
Montgomery County | 110 | *45.0 | 10 | 200 | … | … | … | … | … | … | … | … |
Prince George’s County | 190 | *33.7 | 60 | 320 | 260 | *30.3 | 110 | 420 | 240 | *37.2 | 70 | 420 |
Massachusetts | ||||||||||||
Suffolk County | 130 | *36.7 | 40 | 230 | 140 | *37.8 | 40 | 250 | 140 | *43.5 | 20 | 260 |
Michigan | ||||||||||||
Wayne County | 290 | 24.8 | 150 | 430 | 270 | 29.8 | 110 | 430 | 300 | *32.9 | 100 | 490 |
Nevada | ||||||||||||
Clark County | 500 | 21.8 | 290 | 720 | 550 | 24.1 | 290 | 820 | 630 | 27.0 | 300 | 970 |
New Jersey | ||||||||||||
Essex Countya | 310 | 26.6 | 150 | 480 | 230 | *36.5 | 70 | 390 | 210 | *43.5 | 30 | 390 |
Hudson Countya | 160 | *37.5 | 40 | 280 | 170 | *41.7 | 30 | 320 | … | … | … | … |
New York | ||||||||||||
Bronx County | 380 | 21.8 | 220 | 550 | 410 | 24.0 | 220 | 600 | 400 | 28.7 | 170 | 620 |
Kings County | 490 | 19.2 | 310 | 680 | 470 | 22.6 | 260 | 670 | 370 | 29.6 | 160 | 590 |
New York County | 340 | 23.0 | 190 | 500 | 280 | 28.9 | 120 | 440 | 270 | *35.1 | 80 | 450 |
Queens County | 340 | 23.3 | 180 | 490 | 300 | 28.2 | 130 | 460 | 220 | *38.7 | 50 | 380 |
North Carolina | ||||||||||||
Mecklenburg County | 270 | 22.9 | 150 | 400 | 190 | *36.4 | 50 | 330 | 220 | *35.2 | 70 | 380 |
Ohio | ||||||||||||
Cuyahoga County | 140 | *39.4 | 30 | 240 | 110 | *49.8 | 0 | 220 | … | … | … | … |
Franklin County | 200 | *32.2 | 80 | 330 | 210 | *35.9 | 60 | 360 | 210 | *40.7 | 40 | 390 |
Hamilton County | 170 | *35.5 | 50 | 290 | 150 | *43.1 | 20 | 280 | … | … | … | … |
Pennsylvania | ||||||||||||
Philadelphia County | 400 | 18.5 | 260 | 550 | 400 | 20.9 | 230 | 560 | 400 | 23.9 | 210 | 580 |
Puerto Rico | ||||||||||||
San Juan Municipioa | 100 | *43.5 | 10 | 180 | … | … | … | … | … | … | … | … |
Tennessee | ||||||||||||
Shelby County | 220 | 27.9 | 100 | 330 | 220 | 29.5 | 90 | 350 | 230 | *32.0 | 90 | 370 |
Texas | ||||||||||||
Bexar County | 310 | 25.7 | 150 | 460 | 340 | 28.3 | 150 | 520 | 380 | *31.5 | 140 | 610 |
Dallas County | 810 | 15.8 | 560 | 1,100 | 820 | 18.1 | 530 | 1,100 | 610 | 24.9 | 310 | 900 |
Harris County | 1,100 | 13.3 | 840 | 1,400 | 1,200 | 15.1 | 840 | 1,500 | 1,200 | 17.6 | 800 | 1,600 |
Tarrant County | 300 | 25.8 | 150 | 460 | 270 | *31.4 | 100 | 440 | 340 | *33.2 | 120 | 560 |
Travis County | 210 | *31.0 | 80 | 340 | 240 | *33.3 | *80 | 400 | 190 | *44.9 | 20 | 350 |
Washington | ||||||||||||
King County | 220 | *31.1 | 80 | 350 | 290 | *30.0 | 120 | 460 | 240 | *41.9 | 40 | 450 |
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 the uncertainty.
Estimates with an RSE of 30%–50% are preceded by an asterisk (*) and should be used with caution because they do not meet the standard of reliability.
Estimates with an RSE>50% are not shown and are replaced with an ellipsis (…).
aEstimates should be interpreted with caution because the jurisdiction does not have laws requiring complete reporting of laboratory data or has incomplete reporting. Area without laws: New Jersey. Areas with incomplete reporting: Pennsylvania (excluding Philadelphia County) and Puerto Rico.
2017 | |||||||||
---|---|---|---|---|---|---|---|---|---|
Persons living with diagnosed or undiagnosed HIV infection | Persons living with diagnosed HIV infection | ||||||||
No. | RSE | 95% CI | No.a | % | RSE | 95% CI | |||
Sex at birth | |||||||||
Male | 889,600 | 0.4 | 883,200 | 896,000 | 756,245 | 85.0 | 0.4 | 84.4 | 85.6 |
Female | 257,500 | 0.6 | 254,300 | 260,600 | 229,677 | 89.2 | 0.6 | 88.1 | 90.3 |
Age at infection (yr) | |||||||||
13–24 | 58,300 | 1.3 | 56,800 | 59,800 | 27,471 | 47.1 | 1.3 | 45.9 | 48.4 |
25–34 | 206,800 | 0.6 | 204,400 | 209,200 | 148,259 | 71.7 | 0.6 | 70.9 | 72.5 |
35–44 | 219,100 | 0.5 | 217,100 | 221,200 | 187,196 | 85.4 | 0.5 | 84.6 | 86.2 |
45–54 | 316,300 | 0.4 | 314,000 | 318,600 | 292,913 | 92.6 | 0.4 | 91.9 | 93.3 |
≥55 | 346,500 | 0.4 | 343,500 | 349,500 | 330,083 | 95.3 | 0.4 | 94.5 | 96.1 |
Race/ethnicity | |||||||||
American Indian/Alaska Native | 3,700 | 5.8 | 3,200 | 4,100 | 2,890 | 79.1 | 5.9 | 71.0 | 89.2 |
Asianb | 16,500 | 2.4 | 15,700 | 17,300 | 13,703 | 83.0 | 2.4 | 79.2 | 87.1 |
Black/African American | 462,800 | 0.5 | 458,200 | 467,300 | 396,794 | 85.7 | 0.5 | 84.9 | 86.6 |
Hispanic/Latino c | 277,000 | 0.6 | 273,700 | 280,400 | 229,451 | 82.8 | 0.6 | 81.8 | 83.8 |
Native Hawaiian/other Pacific Islander | 1,000 | 10.4 | 800 | 1,200 | 800 | 79.2 | 10.9 | 65.7 | 99.6 |
White | 331,100 | 0.6 | 327,100 | 335,000 | 293,375 | 88.6 | 0.6 | 87.6 | 89.7 |
Multiracial | 54,300 | 1.3 | 52,900 | 55,700 | 48,185 | 88.8 | 1.3 | 86.6 | 91.1 |
Transmission categoryd | |||||||||
Male-to-male sexual contact | 657,800 | 0.4 | 652,500 | 663,100 | 551,337 | 83.8 | 0.4 | 83.1 | 84.5 |
Injection drug use | 126,100 | 1.1 | 123,400 | 128,800 | 117,609 | 93.3 | 1.1 | 91.3 | 95.3 |
Male | 73,900 | 1.5 | 71,800 | 76,100 | 68,695 | 93.0 | 1.5 | 90.3 | 95.7 |
Female | 52,200 | 1.5 | 50,600 | 53,800 | 48,914 | 93.7 | 1.5 | 90.9 | 96.6 |
Male-to-male sexual contact and injection drug use | 61,600 | 1.4 | 59,900 | 63,200 | 56,526 | 91.8 | 1.4 | 89.4 | 94.3 |
Heterosexual contacte | 298,200 | 0.6 | 294,700 | 301,700 | 257,233 | 86.3 | 0.6 | 85.3 | 87.3 |
Male | 94,300 | 1.2 | 92,100 | 96,400 | 77,740 | 82.5 | 1.2 | 80.6 | 84.4 |
Female | 203,900 | 0.7 | 201,200 | 206,700 | 179,492 | 88.0 | 0.7 | 86.9 | 89.2 |
Region of residence | |||||||||
Northeast | 250,900 | 0.7 | 247,500 | 254,300 | 227,889 | 90.8 | 0.7 | 89.6 | 92.1 |
Midwest | 139,900 | 0.9 | 137,400 | 142,400 | 117,771 | 84.2 | 0.9 | 82.7 | 85.7 |
South | 527,400 | 0.5 | 522,600 | 532,200 | 444,756 | 84.3 | 0.5 | 83.6 | 85.1 |
West | 228,900 | 0.7 | 225,700 | 232,000 | 195,506 | 85.4 | 0.7 | 84.3 | 86.6 |
Totalf | 1,147,100 | 0.3 | 1,139,900 | 1,154,200 | 985,922 | 86.0 | 0.3 | 85.4 | 86.5 |
2018 | |||||||||
---|---|---|---|---|---|---|---|---|---|
Persons living with diagnosed or undiagnosed HIV infection | Persons living with diagnosed HIV infection | ||||||||
No. | RSE | 95% CI | No.a | % | RSE | 95% CI | |||
Sex at birth | |||||||||
Male | 908,000 | 0.4 | 901,400 | 914,700 | 775,373 | 85.4 | 0.4 | 84.8 | 86.0 |
Female | 260,600 | 0.6 | 257,400 | 263,900 | 233,277 | 89.5 | 0.6 | 88.4 | 90.6 |
Age at infection (yr) | |||||||||
13–24 | 51,800 | 1.6 | 50,200 | 53,400 | 26,319 | 50.8 | 1.6 | 49.2 | 52.5 |
25–34 | 214,000 | 0.7 | 211,200 | 216,700 | 153,015 | 71.5 | 0.7 | 70.6 | 72.4 |
35–44 | 222,900 | 0.5 | 220,600 | 225,200 | 189,585 | 85.0 | 0.5 | 84.2 | 85.9 |
45–54 | 303,500 | 0.4 | 301,100 | 305,900 | 280,939 | 92.6 | 0.4 | 91.8 | 93.3 |
≥55 | 376,500 | 0.4 | 373,300 | 379,600 | 358,792 | 95.3 | 0.4 | 94.5 | 96.1 |
Race/ethnicity | |||||||||
American Indian/Alaska Native | 3,800 | 5.9 | 3,400 | 4,300 | 3,026 | 79.2 | 6.0 | 70.9 | 89.6 |
Asianb | 17,100 | 2.5 | 16,300 | 17,900 | 14,556 | 85.1 | 2.5 | 81.2 | 89.5 |
Black/African American | 471,100 | 0.5 | 466,400 | 475,800 | 405,759 | 86.1 | 0.5 | 85.3 | 87.0 |
Hispanic/Lationc | 286,000 | 0.6 | 282,400 | 289,600 | 237,914 | 83.2 | 0.6 | 82.2 | 84.3 |
Native Hawaiian/other Pacific Islander | 1,100 | 10.8 | 850 | 1,300 | 853 | 81.0 | 10.4 | 66.8 | 100.0 |
White | 334,800 | 0.6 | 330,700 | 338,800 | 297,674 | 88.9 | 0.6 | 87.9 | 90.0 |
Multiracial | 54,200 | 1.4 | 52,700 | 55,600 | 48,144 | 88.9 | 1.4 | 86.6 | 91.3 |
Transmission categoryd | |||||||||
Male-to-male sexual contact | 675,700 | 0.4 | 670,100 | 681,300 | 569,690 | 84.3 | 0.4 | 83.6 | 85.0 |
Injection drug use | 125,300 | 1.1 | 122,600 | 128,000 | 116,779 | 93.2 | 1.1 | 91.2 | 95.3 |
Male | 73,300 | 1.5 | 71,100 | 75,500 | 68,046 | 92.8 | 1.5 | 90.1 | 95.7 |
Female | 52,000 | 1.6 | 50,400 | 53,600 | 48,733 | 93.7 | 1.6 | 90.9 | 96.7 |
Male-to-male sexual contact and injection drug use | 61,600 | 1.4 | 59,900 | 63,300 | 56,545 | 91.8 | 1.4 | 89.3 | 94.3 |
Heterosexual contacte | 302,700 | 0.6 | 299,100 | 306,300 | 262,443 | 86.7 | 0.6 | 85.7 | 87.8 |
Male | 95,300 | 1.2 | 93,100 | 97,600 | 79,170 | 83.0 | 1.2 | 81.1 | 85.0 |
Female | 207,400 | 0.7 | 204,500 | 210,200 | 183,273 | 88.4 | 0.7 | 87.2 | 89.6 |
Region of residence | |||||||||
Northeast | 252,300 | 0.7 | 248,900 | 255,800 | 229,996 | 91.1 | 0.7 | 89.9 | 92.4 |
Midwest | 142,700 | 0.9 | 140,100 | 145,300 | 120,835 | 84.7 | 0.9 | 83.2 | 86.2 |
South | 539,400 | 0.5 | 534,300 | 544,400 | 456,972 | 84.7 | 0.5 | 83.9 | 85.5 |
West | 234,300 | 0.7 | 231,000 | 237,500 | 200,847 | 85.7 | 0.7 | 84.5 | 87.0 |
Totalf | 1,168,700 | 0.3 | 1,161,200 | 1,176,100 | 1,008,650 | 86.3 | 0.3 | 85.8 | 86.9 |
2019 | |||||||||
---|---|---|---|---|---|---|---|---|---|
Persons living with diagnosed or undiagnosed HIV infection | Persons living with diagnosed HIV infection | ||||||||
No. | RSE | 95% CI | No.a | % | RSE | 95% CI | |||
Sex at birth | |||||||||
Male | 925,800 | 0.4 | 918,800 | 932,800 | 794,128 | 85.8 | 0.4 | 85.1 | 86.4 |
Female | 263,900 | 0.7 | 260,600 | 267,300 | 237,063 | 89.8 | 0.7 | 88.7 | 91.0 |
Age at infection (yr) | |||||||||
13–24 | 45,900 | 2.0 | 44,100 | 47,700 | 25,581 | 55.7 | 2.0 | 53.6 | 58.0 |
25–34 | 218,700 | 0.7 | 215,600 | 221,800 | 156,378 | 71.5 | 0.7 | 70.5 | 72.5 |
35–44 | 228,000 | 0.6 | 225,500 | 230,500 | 192,894 | 84.6 | 0.6 | 83.7 | 85.6 |
45–54 | 290,000 | 0.4 | 287,500 | 292,400 | 268,039 | 92.4 | 0.4 | 91.7 | 93.2 |
≥55 | 407,100 | 0.4 | 403,800 | 410,400 | 388,299 | 95.4 | 0.4 | 94.6 | 96.2 |
Race/ethnicity | |||||||||
American Indian/Alaska Native | 4,000 | 6.2 | 3,500 | 4,500 | 3,185 | 79.5 | 6.3 | 71.0 | 90.5 |
Asianb | 17,700 | 2.6 | 16,800 | 18,600 | 15,309 | 86.6 | 2.6 | 82.5 | 91.2 |
Black/African American | 479,300 | 0.5 | 474,400 | 484,300 | 415,003 | 86.6 | 0.5 | 85.7 | 87.5 |
Hispanic/Latinoc | 294,200 | 0.7 | 290,400 | 298,100 | 246,078 | 83.6 | 0.7 | 82.6 | 84.7 |
Native Hawaiian/other Pacific Islander | 1,100 | 11.2 | 910 | 1,300 | 906 | 83.6 | 9.6 | 68.5 | 100.0 |
White | 338,600 | 0.6 | 334,400 | 342,800 | 301,927 | 89.2 | 0.6 | 88.1 | 90.3 |
Multiracial | 54,100 | 1.4 | 52,600 | 55,500 | 48,063 | 88.9 | 1.4 | 86.5 | 91.4 |
Transmission categoryd | |||||||||
Male-to-male sexual contact | 692,900 | 0.4 | 686,900 | 698,800 | 587,555 | 84.8 | 0.4 | 84.1 | 85.5 |
Injection drug use | 124,700 | 1.1 | 122,000 | 127,500 | 116,263 | 93.2 | 1.1 | 91.2 | 95.3 |
Male | 72,900 | 1.6 | 70,600 | 75,100 | 67,603 | 92.8 | 1.6 | 90.0 | 95.7 |
Female | 51,900 | 1.6 | 50,200 | 53,500 | 48,660 | 93.8 | 1.6 | 90.9 | 96.8 |
Male-to-male sexual contact and injection drug use | 61,800 | 1.4 | 60,000 | 63,500 | 56,720 | 91.8 | 1.4 | 89.3 | 94.5 |
Heterosexual contacte | 307,000 | 0.6 | 303,300 | 310,800 | 267,478 | 87.1 | 0.6 | 86.1 | 88.2 |
Male | 96,300 | 1.2 | 93,900 | 98,600 | 80,351 | 83.4 | 1.2 | 81.5 | 85.5 |
Female | 210,700 | 0.7 | 207,800 | 213,700 | 187,127 | 88.8 | 0.7 | 87.6 | 90.1 |
Region of residence | |||||||||
Northeast | 253,600 | 0.7 | 250,000 | 257,200 | 231,873 | 91.4 | 0.7 | 90.1 | 92.7 |
Midwest | 145,100 | 0.9 | 142,500 | 147,800 | 123,501 | 85.1 | 0.9 | 83.5 | 86.7 |
South | 551,600 | 0.5 | 546,300 | 556,900 | 469,803 | 85.2 | 0.5 | 84.4 | 86.0 |
West | 239,400 | 0.7 | 235,900 | 242,800 | 206,014 | 86.1 | 0.7 | 84.8 | 87.3 |
Totalf | 1,189,700 | 0.3 | 1,181,900 | 1,197,500 | 1,031,191 | 86.7 | 0.3 | 86.1 | 87.2 |
Abbreviations: RSE, relative standard error; CI, confidence interval; CD4, CD4+ T-lymphocyte count (cells/μL) or percentage (footnotes only).
Note. Data for the year 2019 data are preliminary and based on deaths reported to CDC as of December 2020. 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.
Estimates with an RSE of 30%–50% are preceded by an asterisk (*) and should be used with caution because they do not meet the standard of reliability.
Estimates with an RSE>50% are not shown and are replaced with an ellipsis (…).
aReported to the National HIV Surveillance System.
bIncludes Asian/Pacific Islander legacy cases.
cHispanic/Latino persons can be of any race.
dData by transmission category have been statistically adjusted to account for missing risk-factor information.
eHeterosexual contact with a person known to have, or with a risk factor for, HIV infection.
fIncludes persons with HIV infection attributed to hemophilia or blood transfusion, or whose risk factor was not reported or not identified.
2017 | |||||||||
---|---|---|---|---|---|---|---|---|---|
Persons living with diagnosed or undiagnosed HIV infection | Persons living with diagnosed HIV infection | ||||||||
Area of residence | No. | RSE | 95% CI | No.a | % | RSE | 95% CI | ||
Alabama | 15,700 | 2.7 | 14,900 | 16,600 | 12,930 | 82.1 | 2.7 | 78.0 | 86.8 |
Alaska | 810 | 11.4 | 700 | 990 | 704 | 87.1 | 8.4 | 71.2 | 100 |
Arizona | 18,900 | 2.4 | 18,100 | 19,800 | 15,727 | 83.0 | 2.4 | 79.3 | 87.0 |
Arkansas | 6,900 | 4.0 | 6,300 | 7,400 | 5,534 | 80.6 | 4.0 | 74.7 | 87.5 |
California | 146,400 | 0.9 | 143,800 | 148,900 | 127,097 | 86.8 | 0.9 | 85.4 | 88.4 |
Colorado | 14,000 | 2.7 | 13,300 | 14,700 | 12,106 | 86.6 | 2.7 | 82.2 | 91.3 |
Connecticut | 11,300 | 3.2 | 10,600 | 12,000 | 10,144 | 89.9 | 3.2 | 84.6 | 95.9 |
Delaware | 3,600 | 5.5 | 3,200 | 4,000 | 3,219 | 88.4 | 5.6 | 79.8 | 99.2 |
District of Columbia | 15,100 | 2.8 | 14,300 | 15,900 | 14,066 | 93.3 | 2.8 | 88.5 | 98.7 |
Florida | 125,700 | 1.0 | 123,400 | 128,100 | 107,614 | 85.6 | 1.0 | 84.0 | 87.2 |
Georgia | 63,400 | 1.3 | 61,800 | 64,900 | 52,366 | 82.7 | 1.3 | 80.6 | 84.8 |
Hawaii | 2,800 | 6.4 | 2,400 | 3,100 | 2,413 | 87.1 | 6.6 | 77.4 | 99.8 |
Idahob | 1,400 | 10.1 | 1,100 | 1,600 | 1,109 | 81.5 | 10.0 | 68.0 | 100 |
Illinois | 40,300 | 1.7 | 39,000 | 41,600 | 34,661 | 86.0 | 1.7 | 83.2 | 89.0 |
Indiana | 13,200 | 2.9 | 12,500 | 14,000 | 10,945 | 82.7 | 2.9 | 78.3 | 87.7 |
Iowa | 3,100 | 5.5 | 2,800 | 3,500 | 2,638 | 84.0 | 5.6 | 75.7 | 94.2 |
Kansasbc | 3,600 | 5.7 | 3,200 | 4,000 | 2,959 | 82.2 | 5.8 | 73.9 | 92.6 |
Kentuckyb | 8,500 | 3.5 | 7,900 | 9,000 | 7,000 | 82.6 | 3.5 | 77.4 | 88.6 |
Louisiana | 24,400 | 2.2 | 23,300 | 25,500 | 20,129 | 82.5 | 2.3 | 79.0 | 86.3 |
Maine | 1,800 | 7.7 | 1,500 | 2,000 | 1,545 | 87.4 | 7.0 | 76.0 | 100 |
Maryland | 36,300 | 1.8 | 35,100 | 37,600 | 32,116 | 88.4 | 1.8 | 85.4 | 91.6 |
Massachusettsc | 22,400 | 2.2 | 21,500 | 23,400 | 20,032 | 89.4 | 2.2 | 85.8 | 93.4 |
Michigan | 18,600 | 2.6 | 17,700 | 19,600 | 15,471 | 83.0 | 2.6 | 79.1 | 87.5 |
Minnesota | 9,400 | 3.2 | 8,800 | 10,000 | 8,155 | 86.9 | 3.2 | 81.8 | 92.7 |
Mississippic | 11,600 | 3.4 | 10,800 | 12,300 | 9,203 | 79.6 | 3.4 | 74.6 | 85.3 |
Missouri | 14,000 | 2.8 | 13,200 | 14,800 | 12,149 | 86.8 | 2.8 | 82.3 | 91.8 |
Montana | 710 | 10.6 | 620 | 850 | 615 | 87.0 | 8.2 | 72.0 | 100 |
Nebraska | 2,500 | 6.4 | 2,200 | 2,800 | 2,087 | 84.1 | 6.5 | 74.8 | 96.2 |
Nevadac | 11,700 | 3.0 | 11,000 | 12,400 | 9,473 | 81.0 | 3.0 | 76.6 | 86.1 |
New Hampshire | 1,300 | 8.8 | 1,200 | 1,500 | 1,161 | 89.7 | 6.7 | 76.4 | 100 |
New Jerseyb | 38,800 | 1.9 | 37,300 | 40,300 | 34,058 | 87.8 | 2.0 | 84.6 | 91.3 |
New Mexico | 3,900 | 4.9 | 3,500 | 4,300 | 3,385 | 86.4 | 4.9 | 78.8 | 95.6 |
New York | 133,800 | 0.9 | 131,400 | 136,300 | 123,071 | 92.0 | 0.9 | 90.3 | 93.7 |
North Carolina | 35,300 | 1.7 | 34,100 | 36,400 | 30,468 | 86.4 | 1.7 | 83.6 | 89.3 |
North Dakotac | 620 | 16.2 | 420 | 820 | 400 | 64.3 | 18.1 | 48.7 | 94.3 |
Ohio | 26,000 | 2.0 | 25,000 | 27,000 | 21,663 | 83.4 | 2.0 | 80.2 | 86.8 |
Oklahoma | 7,200 | 4.0 | 6,600 | 7,800 | 5,942 | 82.6 | 4.1 | 76.6 | 89.7 |
Oregon | 7,800 | 3.5 | 7,300 | 8,300 | 6,822 | 87.6 | 3.5 | 81.9 | 94.0 |
Pennsylvaniab | 39,200 | 1.8 | 37,900 | 40,600 | 34,703 | 88.5 | 1.8 | 85.5 | 91.7 |
Puerto Ricob | 17,500 | 3.1 | 16,500 | 18,600 | 15,665 | 89.4 | 3.1 | 84.3 | 95.1 |
Rhode Island | 2,800 | 6.0 | 2,500 | 3,100 | 2,497 | 88.7 | 6.0 | 79.3 | 100 |
South Carolina | 19,900 | 2.4 | 18,900 | 20,800 | 16,466 | 82.8 | 2.4 | 79.0 | 86.9 |
South Dakota | 740 | 12.5 | 570 | 920 | 567 | 76.5 | 12.8 | 61.5 | 100 |
Tennessee | 19,400 | 2.4 | 18,500 | 20,300 | 16,461 | 85.0 | 2.4 | 81.2 | 89.2 |
Texas | 106,000 | 1.0 | 103,900 | 108,100 | 87,393 | 82.5 | 1.0 | 80.9 | 84.1 |
Utah | 3,200 | 5.7 | 2,900 | 3,600 | 2,718 | 83.8 | 5.7 | 75.4 | 94.2 |
Vermontbc | 770 | 10.5 | 680 | 920 | 678 | 88.5 | 7.7 | 73.4 | 100 |
Virginia | 25,600 | 2.1 | 24,600 | 26,700 | 22,073 | 86.1 | 2.1 | 82.7 | 89.7 |
Washington | 15,000 | 2.6 | 14,200 | 15,700 | 13,019 | 87.1 | 2.6 | 82.8 | 91.8 |
West Virginia | 2,100 | 7.1 | 1,800 | 2,400 | 1,776 | 83.1 | 7.3 | 72.9 | 96.6 |
Wisconsin | 7,000 | 3.8 | 6,500 | 7,600 | 6,076 | 86.3 | 3.8 | 80.3 | 93.2 |
Wyoming | 370 | 16.1 | 320 | 480 | 318 | 87.0 | 9.9 | 66.1 | 100 |
2018 | |||||||||
---|---|---|---|---|---|---|---|---|---|
Persons living with diagnosed or undiagnosed HIV infection | Persons living with diagnosed HIV infection | ||||||||
Area of residence | No. | RSE | 95% CI | No.a | % | RSE | 95% CI | ||
Alabama | 16,200 | 2.8 | 15,300 | 17,100 | 13,371 | 82.6 | 2.8 | 78.4 | 87.4 |
Alaska | 810 | 11.8 | 700 | 1,000 | 697 | 86.3 | 8.9 | 70.0 | 100 |
Arizona | 19,700 | 2.4 | 18,800 | 20,600 | 16,357 | 83.1 | 2.4 | 79.3 | 87.2 |
Arkansas | 7,000 | 4.2 | 6,400 | 7,500 | 5,670 | 81.4 | 4.2 | 75.3 | 88.7 |
California | 148,900 | 0.9 | 146,200 | 151,500 | 129,772 | 87.2 | 0.9 | 85.7 | 88.7 |
Colorado | 14,500 | 2.7 | 13,700 | 15,200 | 12,552 | 86.8 | 2.7 | 82.4 | 91.7 |
Connecticut | 11,400 | 3.3 | 10,600 | 12,100 | 10,284 | 90.6 | 3.3 | 85.1 | 96.8 |
Delaware | 3,700 | 5.7 | 3,300 | 4,100 | 3,246 | 88.7 | 5.7 | 79.8 | 99.8 |
District of Columbia | 14,900 | 2.8 | 14,100 | 15,700 | 13,940 | 93.6 | 2.9 | 88.7 | 99.1 |
Florida | 127,600 | 1.0 | 125,100 | 130,000 | 109,691 | 86.0 | 1.0 | 84.4 | 87.7 |
Georgia | 65,200 | 1.3 | 63,500 | 66,900 | 54,219 | 83.1 | 1.3 | 81.1 | 85.3 |
Hawaii | 2,700 | 6.8 | 2,400 | 3,100 | 2,358 | 87.5 | 6.7 | 77.1 | 100.0 |
Idahob | 1,400 | 10.6 | 1,200 | 1,700 | 1,155 | 81.5 | 10.2 | 67.5 | 100 |
Illinois | 41,000 | 1.7 | 39,700 | 42,400 | 35,482 | 86.4 | 1.7 | 83.6 | 89.5 |
Indiana | 13,600 | 3.0 | 12,900 | 14,400 | 11,289 | 82.7 | 3.0 | 78.1 | 87.9 |
Iowa | 3,300 | 5.7 | 2,900 | 3,600 | 2,750 | 84.3 | 5.8 | 75.8 | 94.9 |
Kansasbc | 3,700 | 6.0 | 3,200 | 4,100 | 3,044 | 83.3 | 6.1 | 74.6 | 94.3 |
Kentuckyb | 8,800 | 3.5 | 8,200 | 9,400 | 7,264 | 82.7 | 3.6 | 77.3 | 88.9 |
Louisiana | 25,000 | 2.3 | 23,900 | 26,100 | 20,609 | 82.5 | 2.3 | 78.9 | 86.4 |
Maine | 1,800 | 7.8 | 1,600 | 2,100 | 1,594 | 87.9 | 6.9 | 76.2 | 100 |
Maryland | 36,700 | 1.8 | 35,400 | 38,000 | 32,645 | 88.9 | 1.8 | 85.9 | 92.2 |
Massachusettsc | 22,700 | 2.2 | 21,800 | 23,700 | 20,344 | 89.5 | 2.2 | 85.8 | 93.5 |
Michigan | 18,900 | 2.6 | 17,900 | 19,900 | 15,782 | 83.5 | 2.7 | 79.4 | 88.1 |
Minnesota | 9,700 | 3.3 | 9,000 | 10,300 | 8,431 | 87.3 | 3.3 | 82.0 | 93.2 |
Mississippic | 11,700 | 3.6 | 10,900 | 12,500 | 9,395 | 80.2 | 3.6 | 74.9 | 86.3 |
Missouri | 14,300 | 2.8 | 13,500 | 15,100 | 12,461 | 86.9 | 2.8 | 82.3 | 92.0 |
Montana | 730 | 10.8 | 640 | 890 | 638 | 87.1 | 8.3 | 71.8 | 100 |
Nebraska | 2,500 | 6.6 | 2,200 | 2,800 | 2,133 | 85.0 | 6.7 | 75.2 | 97.6 |
Nevadac | 12,400 | 3.0 | 11,700 | 13,200 | 10,085 | 81.2 | 3.1 | 76.7 | 86.4 |
New Hampshire | 1,300 | 8.7 | 1,200 | 1,600 | 1,227 | 91.0 | 6.2 | 77.7 | 100 |
New Jerseyb | 38,800 | 2.0 | 37,300 | 40,400 | 34,171 | 88.0 | 2.0 | 84.6 | 91.6 |
New Mexico | 4,100 | 4.9 | 3,700 | 4,500 | 3,564 | 86.0 | 4.9 | 78.4 | 95.1 |
New York | 134,100 | 0.9 | 131,600 | 136,600 | 123,796 | 92.3 | 0.9 | 90.6 | 94.0 |
North Carolina | 36,100 | 1.7 | 34,800 | 37,300 | 31,371 | 87.0 | 1.7 | 84.2 | 90.0 |
North Dakotac | 690 | 17.2 | 450 | 920 | 440 | 64.1 | 19.5 | 47.9 | 96.7 |
Ohio | 26,500 | 2.1 | 25,400 | 27,500 | 22,215 | 84.0 | 2.1 | 80.7 | 87.6 |
Oklahoma | 7,400 | 4.1 | 6,800 | 8,000 | 6,109 | 82.8 | 4.2 | 76.6 | 90.1 |
Oregon | 7,900 | 3.6 | 7,400 | 8,500 | 7,008 | 88.3 | 3.6 | 82.5 | 94.9 |
Pennsylvaniab | 39,800 | 1.8 | 38,400 | 41,300 | 35,333 | 88.7 | 1.8 | 85.6 | 92.0 |
Puerto Ricob | 17,300 | 3.2 | 16,200 | 18,400 | 15,520 | 89.8 | 3.2 | 84.6 | 95.8 |
Rhode Island | 2,800 | 6.1 | 2,500 | 3,200 | 2,549 | 89.5 | 5.7 | 79.9 | 100 |
South Carolina | 20,300 | 2.5 | 19,300 | 21,300 | 16,902 | 83.2 | 2.5 | 79.3 | 87.5 |
South Dakota | 780 | 12.7 | 600 | 980 | 603 | 77.0 | 12.7 | 61.7 | 100 |
Tennessee | 19,900 | 2.4 | 18,900 | 20,800 | 17,058 | 85.8 | 2.4 | 81.9 | 90.1 |
Texas | 109,600 | 1.0 | 107,400 | 111,900 | 90,938 | 82.9 | 1.0 | 81.3 | 84.7 |
Utah | 3,400 | 5.6 | 3,100 | 3,800 | 2,901 | 84.3 | 5.7 | 75.9 | 94.7 |
Vermontbc | 780 | 10.7 | 700 | 940 | 698 | 89.5 | 7.4 | 74.0 | 100 |
Virginia | 26,200 | 2.1 | 25,100 | 27,300 | 22,673 | 86.6 | 2.1 | 83.1 | 90.3 |
Washington | 15,400 | 2.7 | 14,600 | 16,200 | 13,421 | 87.2 | 2.7 | 82.9 | 92.1 |
West Virginia | 2,300 | 7.2 | 1,900 | 2,600 | 1,871 | 82.7 | 7.3 | 72.5 | 96.3 |
Wisconsin | 7,200 | 3.9 | 6,600 | 7,700 | 6,205 | 86.8 | 3.9 | 80.6 | 93.9 |
Wyoming | 390 | 15.9 | 340 | 510 | 339 | 86.6 | 10.0 | 66.0 | 100 |
2019 | |||||||||
---|---|---|---|---|---|---|---|---|---|
Persons living with diagnosed or undiagnosed HIV infection | Persons living with diagnosed HIV infection | ||||||||
Area of residence | No. | RSE | 95% CI | No.a | % | RSE | 95% CI | ||
Alabama | 16,500 | 2.9 | 15,600 | 17,400 | 13,767 | 83.4 | 2.9 | 79.0 | 88.4 |
Alaska | 830 | 12.1 | 720 | 1,000 | 715 | 85.7 | 9.1 | 69.3 | 100 |
Arizona | 20,500 | 2.5 | 19,500 | 21,500 | 17,132 | 83.5 | 2.5 | 79.6 | 87.8 |
Arkansas | 7,200 | 4.3 | 6,600 | 7,800 | 5,892 | 81.5 | 4.4 | 75.1 | 89.1 |
California | 150,900 | 0.9 | 148,100 | 153,600 | 132,146 | 87.6 | 0.9 | 86.0 | 89.2 |
Colorado | 14,900 | 2.8 | 14,100 | 15,700 | 12,934 | 86.8 | 2.8 | 82.3 | 91.9 |
Connecticut | 11,400 | 3.3 | 10,700 | 12,200 | 10,412 | 91.1 | 3.3 | 85.5 | 97.4 |
Delaware | 3,700 | 5.7 | 3,300 | 4,200 | 3,332 | 89.2 | 5.7 | 80.2 | 100.0 |
District of Columbia | 14,800 | 2.9 | 14,000 | 15,600 | 13,913 | 94.0 | 2.9 | 88.9 | 99.7 |
Florida | 129,500 | 1.0 | 127,000 | 132,100 | 112,046 | 86.5 | 1.0 | 84.8 | 88.2 |
Georgia | 66,900 | 1.4 | 65,100 | 68,700 | 55,933 | 83.6 | 1.4 | 81.5 | 85.9 |
Hawaii | 2,700 | 7.1 | 2,400 | 3,100 | 2,369 | 87.8 | 6.7 | 77.1 | 100.0 |
Idahob | 1,500 | 10.8 | 1,200 | 1,800 | 1,213 | 82.3 | 9.9 | 67.9 | 100 |
Illinois | 41,000 | 1.8 | 39,600 | 42,500 | 35,504 | 86.5 | 1.8 | 83.6 | 89.7 |
Indiana | 13,900 | 3.1 | 13,100 | 14,800 | 11,507 | 82.6 | 3.2 | 77.8 | 88.1 |
Iowa | 3,400 | 5.9 | 3,000 | 3,800 | 2,852 | 83.5 | 6.0 | 74.8 | 94.5 |
Kansasbc | 3,800 | 6.2 | 3,400 | 4,300 | 3,140 | 82.0 | 6.3 | 73.1 | 93.3 |
Kentuckyb | 9,100 | 3.6 | 8,500 | 9,800 | 7,570 | 83.2 | 3.7 | 77.6 | 89.6 |
Louisiana | 25,500 | 2.4 | 24,300 | 26,700 | 21,117 | 82.9 | 2.4 | 79.1 | 86.9 |
Maine | 1,800 | 8.0 | 1,600 | 2,100 | 1,629 | 89.2 | 6.6 | 77.0 | 100 |
Maryland | 36,700 | 1.8 | 35,400 | 38,100 | 32,863 | 89.4 | 1.9 | 86.3 | 92.8 |
Massachusettsc | 23,100 | 2.2 | 22,100 | 24,100 | 20,734 | 89.7 | 2.2 | 85.9 | 93.8 |
Michigan | 19,500 | 2.7 | 18,400 | 20,500 | 16,390 | 84.2 | 2.7 | 80.0 | 88.9 |
Minnesota | 9,900 | 3.3 | 9,300 | 10,600 | 8,695 | 87.8 | 3.3 | 82.4 | 93.9 |
Mississippic | 12,100 | 3.8 | 11,200 | 13,000 | 9,712 | 80.3 | 3.8 | 74.7 | 86.7 |
Missouri | 14,500 | 2.9 | 13,700 | 15,400 | 12,703 | 87.3 | 2.9 | 82.6 | 92.6 |
Montana | 750 | 11.1 | 670 | 920 | 666 | 88.5 | 7.9 | 72.7 | 100 |
Nebraska | 2,600 | 6.9 | 2,200 | 2,900 | 2,204 | 85.1 | 7.0 | 75.0 | 98.3 |
Nevadac | 13,200 | 3.2 | 12,400 | 14,000 | 10,650 | 80.6 | 3.2 | 75.8 | 86.0 |
New Hampshire | 1,400 | 8.6 | 1,300 | 1,600 | 1,283 | 91.9 | 5.9 | 78.6 | 100 |
New Jerseyb | 39,200 | 2.1 | 37,600 | 40,700 | 34,555 | 88.2 | 2.1 | 84.8 | 92.0 |
New Mexico | 4,300 | 5.0 | 3,900 | 4,700 | 3,710 | 86.2 | 5.1 | 78.5 | 95.7 |
New York | 133,900 | 1.0 | 131,300 | 136,400 | 124,048 | 92.7 | 1.0 | 90.9 | 94.5 |
North Carolina | 37,200 | 1.7 | 35,900 | 38,500 | 32,646 | 87.8 | 1.7 | 84.9 | 90.9 |
North Dakotac | 750 | 18.5 | 480 | 1,000 | 484 | 64.1 | 21.1 | 47.1 | 100.0 |
Ohio | 27,100 | 2.2 | 25,900 | 28,200 | 22,963 | 84.8 | 2.2 | 81.3 | 88.5 |
Oklahoma | 7,600 | 4.3 | 7,000 | 8,300 | 6,299 | 82.7 | 4.4 | 76.2 | 90.4 |
Oregon | 8,200 | 3.7 | 7,600 | 8,700 | 7,227 | 88.6 | 3.7 | 82.6 | 95.4 |
Pennsylvaniab | 40,200 | 1.9 | 38,700 | 41,700 | 35,897 | 89.3 | 1.9 | 86.1 | 92.7 |
Puerto Ricob | 17,300 | 3.2 | 16,200 | 18,300 | 15,595 | 90.4 | 3.2 | 85.0 | 96.5 |
Rhode Island | 2,900 | 6.2 | 2,600 | 3,300 | 2,605 | 89.8 | 5.7 | 80.0 | 100 |
South Carolina | 20,800 | 2.6 | 19,800 | 21,900 | 17,393 | 83.5 | 2.6 | 79.4 | 88.0 |
South Dakota | 810 | 13.0 | 640 | 1,000 | 638 | 78.6 | 12.1 | 62.6 | 100 |
Tennessee | 20,200 | 2.5 | 19,300 | 21,200 | 17,491 | 86.4 | 2.5 | 82.4 | 90.8 |
Texas | 113,300 | 1.1 | 111,000 | 115,700 | 94,449 | 83.3 | 1.1 | 81.6 | 85.1 |
Utah | 3,600 | 5.7 | 3,200 | 4,000 | 3,051 | 84.6 | 5.8 | 76.0 | 95.3 |
Vermontbc | 790 | 11.0 | 710 | 960 | 710 | 89.6 | 7.5 | 73.7 | 100 |
Virginia | 26,900 | 2.2 | 25,700 | 28,000 | 23,413 | 87.2 | 2.2 | 83.6 | 91.0 |
Washington | 15,900 | 2.8 | 15,000 | 16,700 | 13,866 | 87.3 | 2.8 | 82.8 | 92.3 |
West Virginia | 2,400 | 7.6 | 2,100 | 2,800 | 1,967 | 81.2 | 7.8 | 70.6 | 95.4 |
Wisconsin | 7,400 | 4.0 | 6,800 | 7,900 | 6,421 | 87.2 | 4.0 | 80.9 | 94.5 |
Wyoming | 380 | 16.9 | 340 | 510 | 335 | 87.4 | 10.0 | 65.6 | 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 2019 data are preliminary and based on deaths reported to CDC as of December 2020. 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.
Estimates with an RSE of 30%–50% are preceded by an asterisk (*) and should be used with caution because they do not meet the standard of reliability.
Estimates with an RSE>50% are not shown and are replaced with an ellipsis (…).
aReported to the National HIV Surveillance System.
bEstimates 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 and New Jersey. Areas with incomplete reporting: Kansas, Kentucky, Pennsylvania (excluding Philadelphia), Puerto Rico, and Vermont.
cEstimates should be interpreted with caution due to incomplete ascertainment of deaths that occurred during the year 2019.
2017 | |||||||||
---|---|---|---|---|---|---|---|---|---|
Persons living with diagnosed or undiagnosed HIV infection | Persons living with diagnosed HIV infection | ||||||||
Area of residence | No. | RSE | 95% CI | No.a | % | RSE | 95% CI | ||
Arizona | |||||||||
Maricopa County | 13,000 | 2.9 | 12,200 | 13,700 | 10,775 | 83.2 | 2.9 | 78.7 | 88.1 |
California | |||||||||
Alameda County | 6,700 | 4.1 | 6,200 | 7,300 | 5,847 | 86.8 | 4.1 | 80.4 | 94.5 |
Los Angeles County | 54,000 | 1.4 | 52,500 | 55,500 | 47,867 | 88.6 | 1.4 | 86.2 | 91.2 |
Orange County | 8,100 | 3.8 | 7,500 | 8,700 | 6,742 | 83.3 | 3.8 | 77.5 | 89.9 |
Riverside County | 9,500 | 2.7 | 9,000 | 10,000 | 8,507 | 89.3 | 2.7 | 84.7 | 94.3 |
Sacramento County | 4,900 | 4.5 | 4,400 | 5,300 | 4,159 | 85.3 | 4.6 | 78.3 | 93.7 |
San Bernardino County | 5,100 | 4.6 | 4,700 | 5,600 | 4,088 | 79.9 | 4.6 | 73.3 | 87.8 |
San Diego County | 15,100 | 2.6 | 14,300 | 15,900 | 12,889 | 85.3 | 2.7 | 81.1 | 90.0 |
San Francisco County | 13,000 | 3.4 | 12,300 | 13,900 | 12,304 | 94.8 | 3.0 | 88.8 | 100 |
District of Columbia | 15,100 | 2.8 | 14,300 | 15,900 | 14,066 | 93.3 | 2.8 | 88.5 | 98.7 |
Florida | |||||||||
Broward County | 21,600 | 2.2 | 20,600 | 22,500 | 19,006 | 88.1 | 2.2 | 84.5 | 92.1 |
Duval County | 7,100 | 4.0 | 6,500 | 7,700 | 5,839 | 82.2 | 4.0 | 76.2 | 89.3 |
Hillsborough County | 7,800 | 3.8 | 7,200 | 8,400 | 6,581 | 84.6 | 3.8 | 78.7 | 91.5 |
Miami-Dade County | 29,800 | 2.1 | 28,600 | 31,000 | 25,691 | 86.3 | 2.1 | 82.9 | 90.0 |
Orange County | 9,900 | 3.3 | 9,300 | 10,600 | 8,280 | 83.4 | 3.4 | 78.3 | 89.3 |
Palm Beach County | 8,900 | 3.7 | 8,200 | 9,500 | 7,733 | 87.0 | 3.7 | 81.2 | 93.9 |
Pinellas County | 5,200 | 4.4 | 4,700 | 5,600 | 4,454 | 86.3 | 4.5 | 79.4 | 94.6 |
Georgia | |||||||||
Cobb County | 3,600 | 4.9 | 3,300 | 4,000 | 2,999 | 82.9 | 5.0 | 75.5 | 91.8 |
DeKalb County | 9,600 | 3.3 | 9,000 | 10,300 | 8,154 | 84.6 | 3.3 | 79.5 | 90.5 |
Fulton County | 16,800 | 2.5 | 16,000 | 17,600 | 14,302 | 85.1 | 2.5 | 81.2 | 89.5 |
Gwinnett County | 3,300 | 4.8 | 3,000 | 3,700 | 2,736 | 81.8 | 4.8 | 74.8 | 90.3 |
Illinois | |||||||||
Cook County | 28,700 | 2.1 | 27,600 | 29,900 | 24,745 | 86.1 | 2.1 | 82.8 | 89.8 |
Indiana | |||||||||
Marion County | 5,300 | 4.4 | 4,900 | 5,800 | 4,494 | 84.5 | 4.5 | 77.7 | 92.5 |
Louisiana | |||||||||
East Baton Rouge Parish | 4,500 | 5.0 | 4,000 | 4,900 | 3,794 | 84.7 | 5.1 | 77.0 | 93.9 |
Orleans Parish | 5,500 | 5.1 | 4,900 | 6,000 | 4,767 | 87.4 | 5.2 | 79.4 | 97.2 |
Maryland | |||||||||
Baltimore City | 12,000 | 3.4 | 11,200 | 12,700 | 10,869 | 90.9 | 3.4 | 85.3 | 97.4 |
Montgomery County | 4,300 | 5.0 | 3,900 | 4,700 | 3,772 | 87.9 | 5.1 | 80.0 | 97.4 |
Prince George’s County | 8,800 | 3.4 | 8,200 | 9,400 | 7,529 | 85.6 | 3.4 | 80.2 | 91.7 |
Massachusetts | |||||||||
Suffolk Countyb | 6,300 | 4.3 | 5,700 | 6,800 | 5,702 | 91.2 | 4.3 | 84.1 | 99.6 |
Michigan | |||||||||
Wayne County | 7,500 | 4.3 | 6,900 | 8,200 | 6,370 | 84.4 | 4.3 | 77.9 | 92.1 |
Nevada | |||||||||
Clark Countyb | 9,900 | 3.2 | 9,300 | 10,600 | 7,982 | 80.4 | 3.2 | 75.6 | 85.9 |
New Jersey | |||||||||
Essex Countyc | 10,000 | 4.0 | 9,200 | 10,800 | 8,944 | 89.7 | 4.0 | 83.2 | 97.3 |
Hudson Countyc | 5,500 | 5.2 | 4,900 | 6,100 | 4,797 | 87.0 | 5.3 | 78.9 | 96.9 |
New York | |||||||||
Bronx County | 28,400 | 1.8 | 27,400 | 29,400 | 26,604 | 93.7 | 1.8 | 90.4 | 97.1 |
Kings County | 27,800 | 2.0 | 26,700 | 29,000 | 25,708 | 92.3 | 2.1 | 88.7 | 96.2 |
New York County | 28,600 | 2.1 | 27,400 | 29,800 | 26,747 | 93.6 | 2.2 | 89.8 | 97.7 |
Queens County | 17,000 | 2.6 | 16,100 | 17,800 | 15,384 | 90.6 | 2.6 | 86.3 | 95.4 |
North Carolina | |||||||||
Mecklenburg County | 6,500 | 3.9 | 6,000 | 7,000 | 5,623 | 86.8 | 3.9 | 80.6 | 94.0 |
Ohio | |||||||||
Cuyahoga County | 5,400 | 4.4 | 4,900 | 5,900 | 4,585 | 84.7 | 4.5 | 77.9 | 92.7 |
Franklin County | 5,600 | 4.3 | 5,100 | 6,100 | 4,742 | 84.8 | 4.4 | 78.2 | 92.6 |
Hamilton County | 3,600 | 5.5 | 3,200 | 4,000 | 2,875 | 79.7 | 5.5 | 72.0 | 89.3 |
Pennsylvania | |||||||||
Philadelphia County | 18,300 | 2.4 | 17,500 | 19,200 | 16,805 | 91.6 | 2.4 | 87.5 | 96.2 |
Puerto Rico | |||||||||
San Juan Municipioc | 3,600 | 7.4 | 3,200 | 4,100 | 3,206 | 88.9 | 6.4 | 77.6 | 100 |
Tennessee | |||||||||
Shelby County | 7,000 | 4.1 | 6,500 | 7,600 | 6,019 | 85.5 | 4.1 | 79.1 | 93.0 |
Texas | |||||||||
Bexar County | 7,400 | 3.8 | 6,800 | 7,900 | 6,084 | 82.4 | 3.9 | 76.7 | 89.2 |
Dallas County | 20,700 | 2.3 | 19,700 | 21,600 | 17,306 | 83.7 | 2.3 | 80.1 | 87.7 |
Harris County | 29,700 | 2.0 | 28,500 | 30,800 | 24,655 | 83.1 | 2.0 | 80.0 | 86.5 |
Tarrant County | 6,500 | 4.0 | 6,000 | 7,100 | 5,425 | 82.9 | 4.0 | 76.9 | 89.9 |
Travis County | 5,700 | 4.4 | 5,200 | 6,200 | 4,712 | 82.5 | 4.4 | 75.9 | 90.2 |
Washington | |||||||||
King County | 7,700 | 3.8 | 7,200 | 8,300 | 6,764 | 87.3 | 3.9 | 81.2 | 94.4 |
2018 | |||||||||
---|---|---|---|---|---|---|---|---|---|
Persons living with diagnosed or undiagnosed HIV infection | Persons living with diagnosed HIV infection | ||||||||
Area of residence | No. | RSE | 95% CI | No.a | % | RSE | 95% CI | ||
Arizona | |||||||||
Maricopa County | 13,400 | 2.9 | 12,600 | 14,200 | 11,195 | 83.5 | 2.9 | 78.9 | 88.6 |
California | |||||||||
Alameda County | 6,900 | 4.1 | 6,300 | 7,400 | 6,008 | 87.4 | 4.2 | 80.8 | 95.1 |
Los Angeles County | 54,600 | 1.5 | 53,000 | 56,100 | 48,674 | 89.2 | 1.5 | 86.7 | 91.9 |
Orange County | 8,200 | 3.9 | 7,600 | 8,800 | 6,845 | 83.7 | 3.9 | 77.8 | 90.6 |
Riverside County | 10,100 | 2.7 | 9,500 | 10,600 | 9,041 | 89.7 | 2.7 | 85.2 | 94.8 |
Sacramento County | 5,000 | 4.6 | 4,500 | 5,400 | 4,263 | 85.6 | 4.7 | 78.5 | 94.1 |
San Bernardino County | 5,400 | 4.6 | 4,900 | 5,900 | 4,422 | 81.4 | 4.6 | 74.7 | 89.4 |
San Diego County | 15,300 | 2.7 | 14,500 | 16,100 | 13,075 | 85.3 | 2.7 | 81.0 | 90.0 |
San Francisco County | 12,700 | 3.6 | 12,100 | 13,600 | 12,115 | 95.3 | 2.9 | 89.1 | 100 |
District of Columbia | 14,900 | 2.8 | 14,100 | 15,700 | 13,940 | 93.6 | 2.9 | 88.7 | 99.1 |
Florida | |||||||||
Broward County | 21,800 | 2.2 | 20,800 | 22,700 | 19,274 | 88.5 | 2.2 | 84.8 | 92.6 |
Duval County | 7,200 | 4.1 | 6,700 | 7,800 | 6,018 | 83.2 | 4.1 | 77.0 | 90.4 |
Hillsborough County | 7,900 | 3.9 | 7,300 | 8,500 | 6,728 | 85.2 | 3.9 | 79.1 | 92.2 |
Miami-Dade County | 30,100 | 2.1 | 28,800 | 31,300 | 26,015 | 86.5 | 2.1 | 83.1 | 90.3 |
Orange County | 10,200 | 3.4 | 9,500 | 10,900 | 8,551 | 84.0 | 3.4 | 78.7 | 90.0 |
Palm Beach County | 8,900 | 3.8 | 8,200 | 9,600 | 7,790 | 87.4 | 3.8 | 81.4 | 94.5 |
Pinellas County | 5,100 | 4.6 | 4,700 | 5,600 | 4,482 | 87.1 | 4.6 | 79.9 | 95.7 |
Georgia | |||||||||
Cobb County | 3,800 | 5.1 | 3,400 | 4,100 | 3,144 | 83.5 | 5.1 | 75.9 | 92.7 |
DeKalb County | 10,000 | 3.3 | 9,300 | 10,600 | 8,456 | 84.8 | 3.4 | 79.6 | 90.8 |
Fulton County | 17,600 | 2.5 | 16,700 | 18,500 | 15,072 | 85.7 | 2.5 | 81.7 | 90.1 |
Gwinnett County | 3,500 | 5.0 | 3,100 | 3,800 | 2,852 | 82.6 | 5.1 | 75.2 | 91.6 |
Illinois | |||||||||
Cook County | 28,900 | 2.1 | 27,700 | 30,100 | 25,050 | 86.6 | 2.1 | 83.1 | 90.3 |
Indiana | |||||||||
Marion County | 5,500 | 4.5 | 5,000 | 6,000 | 4,618 | 84.1 | 4.6 | 77.2 | 92.3 |
Louisiana | |||||||||
East Baton Rouge Parish | 4,600 | 5.2 | 4,100 | 5,000 | 3,857 | 84.5 | 5.2 | 76.7 | 94.1 |
Orleans Parish | 5,500 | 5.2 | 5,000 | 6,100 | 4,859 | 87.9 | 5.3 | 79.7 | 97.9 |
Maryland | |||||||||
Baltimore City | 11,100 | 3.7 | 10,300 | 11,900 | 10,073 | 90.5 | 3.7 | 84.3 | 97.5 |
Montgomery County | 4,300 | 5.1 | 3,900 | 4,700 | 3,822 | 88.7 | 5.2 | 80.6 | 98.6 |
Prince George’s County | 9,000 | 3.5 | 8,400 | 9,600 | 7,797 | 86.4 | 3.5 | 80.9 | 92.7 |
Massachusetts | |||||||||
Suffolk Countyb | 6,200 | 4.4 | 5,700 | 6,700 | 5,654 | 91.2 | 4.5 | 83.9 | 99.9 |
Michigan | |||||||||
Wayne County | 7,800 | 4.3 | 7,200 | 8,500 | 6,676 | 85.3 | 4.3 | 78.7 | 93.1 |
Nevada | |||||||||
Clark Countyb | 10,600 | 3.3 | 9,900 | 11,300 | 8,522 | 80.6 | 3.3 | 75.7 | 86.2 |
New Jersey | |||||||||
Essex Countyc | 9,900 | 4.1 | 9,100 | 10,700 | 8,914 | 90.0 | 4.1 | 83.2 | 97.8 |
Hudson Countyc | 5,500 | 5.4 | 5,000 | 6,100 | 4,807 | 86.8 | 5.4 | 78.5 | 97.0 |
New York | |||||||||
Bronx County | 28,600 | 1.8 | 27,500 | 29,600 | 26,805 | 93.8 | 1.8 | 90.6 | 97.3 |
Kings County | 27,900 | 2.1 | 26,800 | 29,100 | 25,888 | 92.6 | 2.1 | 89.0 | 96.6 |
New York County | 28,500 | 2.2 | 27,300 | 29,700 | 26,738 | 93.9 | 2.2 | 90.1 | 98.1 |
Queens County | 17,100 | 2.6 | 16,200 | 17,900 | 15,600 | 91.3 | 2.6 | 86.9 | 96.2 |
North Carolina | |||||||||
Mecklenburg County | 6,600 | 4.0 | 6,100 | 7,100 | 5,815 | 87.9 | 4.0 | 81.5 | 95.3 |
Ohio | |||||||||
Cuyahoga County | 5,500 | 4.5 | 5,000 | 6,000 | 4,684 | 85.5 | 4.5 | 78.6 | 93.8 |
Franklin County | 5,700 | 4.5 | 5,200 | 6,200 | 4,803 | 84.7 | 4.5 | 77.8 | 92.8 |
Hamilton County | 3,600 | 5.8 | 3,200 | 4,000 | 2,906 | 80.6 | 5.9 | 72.4 | 91.0 |
Pennsylvania | |||||||||
Philadelphia County | 18,200 | 2.5 | 17,400 | 19,100 | 16,757 | 91.8 | 2.5 | 87.6 | 96.5 |
Puerto Rico | |||||||||
San Juan Municipioc | 3,600 | 7.5 | 3,200 | 4,100 | 3,247 | 90.0 | 6.1 | 78.5 | 100 |
Tennessee | |||||||||
Shelby County | 7,200 | 4.1 | 6,600 | 7,800 | 6,273 | 86.8 | 4.1 | 80.3 | 94.4 |
Texas | |||||||||
Bexar County | 7,600 | 4.0 | 7,000 | 8,200 | 6,268 | 82.7 | 4.0 | 76.8 | 89.7 |
Dallas County | 21,400 | 2.3 | 20,400 | 22,400 | 17,992 | 84.1 | 2.3 | 80.5 | 88.2 |
Harris County | 30,500 | 2.0 | 29,200 | 31,700 | 25,469 | 83.6 | 2.0 | 80.5 | 87.1 |
Tarrant County | 6,800 | 4.1 | 6,200 | 7,300 | 5,647 | 83.5 | 4.1 | 77.4 | 90.7 |
Travis County | 5,900 | 4.4 | 5,400 | 6,500 | 4,892 | 82.2 | 4.5 | 75.6 | 90.1 |
Washington | |||||||||
King County | 7,800 | 4.0 | 7,200 | 8,400 | 6,828 | 87.4 | 4.0 | 81.1 | 94.8 |
2019 | |||||||||
---|---|---|---|---|---|---|---|---|---|
Persons living with diagnosed or undiagnosed HIV infection | Persons living with diagnosed HIV infection | ||||||||
Area of residence | No. | RSE | 95% CI | No.a | % | RSE | 95% CI | ||
Arizona | |||||||||
Maricopa County | 13,900 | 3.0 | 13,100 | 14,700 | 11,691 | 84.0 | 3.0 | 79.3 | 89.3 |
California | |||||||||
Alameda County | 6,900 | 4.3 | 6,300 | 7,500 | 6,058 | 87.7 | 4.3 | 80.9 | 95.8 |
Los Angeles County | 55,100 | 1.5 | 53,500 | 56,700 | 49,404 | 89.6 | 1.5 | 87.1 | 92.4 |
Orange County | 8,200 | 4.0 | 7,600 | 8,900 | 6,941 | 84.3 | 4.0 | 78.2 | 91.4 |
Riverside County | 10,400 | 2.8 | 9,900 | 11,000 | 9,414 | 90.2 | 2.8 | 85.5 | 95.4 |
Sacramento County | 5,100 | 4.8 | 4,600 | 5,500 | 4,336 | 85.7 | 4.8 | 78.4 | 94.5 |
San Bernardino County | 5,700 | 4.7 | 5,200 | 6,200 | 4,690 | 82.1 | 4.8 | 75.2 | 90.5 |
San Diego County | 15,400 | 2.8 | 14,600 | 16,300 | 13,173 | 85.4 | 2.8 | 81.0 | 90.4 |
San Francisco County | 12,500 | 3.7 | 12,000 | 13,400 | 11,992 | 95.9 | 2.8 | 89.5 | 100 |
District of Columbia | 14,800 | 2.9 | 14,000 | 15,600 | 13,913 | 94.0 | 2.9 | 88.9 | 99.7 |
Florida | |||||||||
Broward County | 22,100 | 2.3 | 21,100 | 23,100 | 19,594 | 88.8 | 2.3 | 85.0 | 93.0 |
Duval County | 7,300 | 4.2 | 6,700 | 7,900 | 6,159 | 84.4 | 4.2 | 78.0 | 92.0 |
Hillsborough County | 8,100 | 3.9 | 7,400 | 8,700 | 6,948 | 86.1 | 4.0 | 80.0 | 93.4 |
Miami-Dade County | 30,300 | 2.2 | 29,000 | 31,600 | 26,296 | 86.8 | 2.2 | 83.2 | 90.7 |
Orange County | 10,400 | 3.5 | 9,700 | 11,100 | 8,770 | 84.4 | 3.6 | 78.9 | 90.7 |
Palm Beach County | 9,000 | 3.9 | 8,300 | 9,700 | 7,890 | 87.6 | 3.9 | 81.5 | 94.8 |
Pinellas County | 5,300 | 4.6 | 4,800 | 5,800 | 4,666 | 88.1 | 4.7 | 80.7 | 97.0 |
Georgia | |||||||||
Cobb County | 4,000 | 5.3 | 3,600 | 4,400 | 3,314 | 83.4 | 5.4 | 75.5 | 93.1 |
DeKalb County | 10,300 | 3.4 | 9,600 | 11,000 | 8,815 | 85.5 | 3.4 | 80.2 | 91.6 |
Fulton County | 18,100 | 2.5 | 17,200 | 19,000 | 15,584 | 86.2 | 2.6 | 82.1 | 90.8 |
Gwinnett County | 3,600 | 5.4 | 3,200 | 4,000 | 3,033 | 83.6 | 5.4 | 75.6 | 93.4 |
Illinois | |||||||||
Cook County | 29,500 | 2.2 | 28,200 | 30,800 | 25,619 | 86.9 | 2.2 | 83.3 | 90.7 |
Indiana | |||||||||
Marion County | 5,500 | 4.8 | 5,000 | 6,000 | 4,610 | 83.5 | 4.9 | 76.2 | 92.3 |
Louisiana | |||||||||
East Baton Rouge Parish | 4,600 | 5.4 | 4,100 | 5,100 | 3,898 | 84.2 | 5.4 | 76.2 | 94.1 |
Orleans Parish | 5,600 | 5.3 | 5,000 | 6,200 | 4,957 | 88.3 | 5.3 | 80.1 | 98.5 |
Maryland | |||||||||
Baltimore City | 11,100 | 3.8 | 10,300 | 11,900 | 10,109 | 91.0 | 3.8 | 84.7 | 98.2 |
Montgomery County | 4,300 | 5.3 | 3,900 | 4,800 | 3,867 | 89.7 | 5.3 | 81.3 | 100.0 |
Prince George’s County | 9,100 | 3.6 | 8,500 | 9,800 | 7,947 | 86.9 | 3.6 | 81.3 | 93.5 |
Massachusetts | |||||||||
Suffolk Countyb | 6,200 | 4.5 | 5,700 | 6,800 | 5,695 | 91.2 | 4.5 | 83.8 | 100.0 |
Michigan | |||||||||
Wayne County | 8,000 | 4.3 | 7,400 | 8,700 | 6,889 | 85.6 | 4.4 | 78.9 | 93.5 |
Nevada | |||||||||
Clark Countyb | 11,200 | 3.5 | 10,400 | 12,000 | 8,976 | 80.1 | 3.5 | 74.9 | 85.9 |
New Jersey | |||||||||
Essex Countyc | 9,900 | 4.2 | 9,100 | 10,700 | 8,937 | 90.2 | 4.3 | 83.3 | 98.3 |
Hudson Countyc | 5,600 | 5.5 | 5,000 | 6,200 | 4,845 | 87.3 | 5.6 | 78.7 | 97.8 |
New York | |||||||||
Bronx County | 29,000 | 1.9 | 27,900 | 30,000 | 27,307 | 94.3 | 1.9 | 91.0 | 97.8 |
Kings County | 27,900 | 2.1 | 26,800 | 29,100 | 25,949 | 93.0 | 2.1 | 89.2 | 97.0 |
New York County | 28,300 | 2.2 | 27,100 | 29,500 | 26,649 | 94.1 | 2.2 | 90.2 | 98.4 |
Queens County | 17,200 | 2.6 | 16,300 | 18,100 | 15,836 | 92.2 | 2.6 | 87.7 | 97.2 |
North Carolina | |||||||||
Mecklenburg County | 6,800 | 4.1 | 6,300 | 7,300 | 6,045 | 88.8 | 4.1 | 82.3 | 96.5 |
Ohio | |||||||||
Cuyahoga County | 5,500 | 4.6 | 5,000 | 6,000 | 4,758 | 86.2 | 4.7 | 79.0 | 94.9 |
Franklin County | 5,900 | 4.6 | 5,400 | 6,400 | 5,013 | 85.2 | 4.6 | 78.2 | 93.6 |
Hamilton County | 3,700 | 6.0 | 3,300 | 4,100 | 3,037 | 82.4 | 6.0 | 73.8 | 93.3 |
Pennsylvania | |||||||||
Philadelphia County | 18,400 | 2.5 | 17,500 | 19,300 | 16,951 | 92.2 | 2.5 | 87.8 | 97.0 |
Puerto Rico | |||||||||
San Juan Municipioc | 3,600 | 7.5 | 3,300 | 4,200 | 3,309 | 90.8 | 5.9 | 79.1 | 100 |
Tennessee | |||||||||
Shelby County | 7,200 | 4.3 | 6,600 | 7,800 | 6,256 | 87.2 | 4.3 | 80.4 | 95.1 |
Texas | |||||||||
Bexar County | 7,900 | 4.1 | 7,300 | 8,500 | 6,538 | 82.9 | 4.1 | 76.7 | 90.2 |
Dallas County | 21,900 | 2.4 | 20,900 | 22,900 | 18,648 | 85.1 | 2.4 | 81.3 | 89.3 |
Harris County | 27,300 | 2.4 | 26,000 | 28,500 | 22,267 | 81.6 | 2.4 | 78.0 | 85.7 |
Tarrant County | 7,100 | 4.2 | 6,500 | 7,600 | 5,909 | 83.8 | 4.2 | 77.4 | 91.3 |
Travis County | 6,100 | 4.5 | 5,600 | 6,600 | 5,028 | 82.5 | 4.6 | 75.7 | 90.5 |
Washington | |||||||||
King County | 8,000 | 4.1 | 7,400 | 8,600 | 7,015 | 87.7 | 4.1 | 81.2 | 95.4 |
Abbreviations: RSE, relative standard error; CI, confidence interval; CD4, CD4+ T-lymphocyte count (cells/μL) or percentage (footnotes only).
Note. Estimates for the year 2019 data are preliminary and based on deaths reported to CDC as of December 2020. 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.
aReported to the National HIV Surveillance System.
bEstimates should be interpreted with caution due to incomplete ascertainment of deaths that occurred during the year 2019.
cEstimates 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: New Jersey. Areas with incomplete reporting: Pennsylvania (excluding Philadelphia County) and Puerto Rico.
2017 | 2018 | 2019 | 2020 (preliminary)a |
|
---|---|---|---|---|
No. | No. | No. | No. | |
Gender | ||||
Male | 30,411 | 29,699 | 28,781 | 19,956 |
Female | 7,248 | 7,025 | 6,868 | 4,517 |
Transgender male-to-femaleb | 581 | 596 | 623 | 439 |
Transgender female-to-maleb | 36 | 48 | 46 | 38 |
Additional gender identityc | 13 | 14 | 19 | 10 |
Age at diagnosis (yr) | ||||
13–24 | 8,281 | 7,835 | 7,588 | 4,970 |
25–34 | 13,361 | 13,382 | 13,014 | 9,140 |
35–44 | 7,241 | 7,181 | 7,068 | 4,881 |
45–54 | 5,569 | 5,233 | 4,866 | 3,308 |
≥55 | 3,837 | 3,751 | 3,801 | 2,661 |
Race/ethnicity | ||||
American Indian/Alaska Native | 206 | 182 | 209 | 163 |
Asian | 915 | 849 | 732 | 513 |
Black/African American | 15,931 | 15,441 | 15,299 | 10,983 |
Hispanic/Latinod | 10,460 | 10,530 | 10,112 | 6,135 |
Native Hawaiian/other Pacific Islander | 51 | 64 | 66 | 57 |
White | 9,546 | 9,293 | 9,006 | 6,642 |
Multiracial | 1,180 | 1,023 | 913 | 467 |
Transmission categorye | ||||
Male-to-male sexual contact | 25,337 | 24,556 | 23,866 | 16,964 |
Injection drug use | ||||
Male | 1,301 | 1,407 | 1,375 | 963 |
Female | 1,053 | 1,084 | 1,106 | 674 |
Male-to-male sexual contact and injection drug use | 1,421 | 1,408 | 1,457 | 833 |
Heterosexual contactf | ||||
Male | 2,913 | 2,903 | 2,685 | 1,620 |
Female | 6,198 | 5,958 | 5,787 | 3,860 |
Otherg | ||||
Male | 34 | 35 | 37 | 25 |
Female | 33 | 32 | 25 | 21 |
Region of residenceh | ||||
Northeast | 6,000 | 5,562 | 5,268 | 3,356 |
Midwest | 5,086 | 4,932 | 4,750 | 3,417 |
South | 19,658 | 19,364 | 19,100 | 13,291 |
West | 7,545 | 7,524 | 7,219 | 4,896 |
Total | 38,289 | 37,382 | 36,337 | 24,960 |
aData are for cases reported to CDC through December 2020, are considered preliminary until a 12-month reporting lag has been reached, and should be interpreted with caution. In addition to being preliminary, data for the year 2020 should be interpreted with caution due to the impact of the COVID-19 pandemic on HIV case surveillance activities in state/local jurisdictions.
bTransgender male-to-female” includes individuals who were assigned “male” sex at birth but have ever identified as “female” gender. “Transgender female-to-male” includes individuals who were assigned “female” sex at birth but have ever identified as “male” gender.
cAdditional gender identity examples include “bigender,” “gender queer,” and “two-spirit.” dHispanic/Latino persons can be of any race.
eData have been statistically adjusted to account for missing transmission category, therefore values may not sum to column subtotals and total. Data presented based on sex at birth and include transgender persons.
fHeterosexual contact with a person known to have, or with a risk factor for, HIV infection. gIncludes hemophilia, blood transfusion, perinatal exposure, and risk factor not reported or not identified.
hData are based on residence at time of diagnosis of HIV infection.
2017 | 2018 | 2019 | 2020 (preliminary)a |
|
---|---|---|---|---|
No. | No. | No. | No. | |
Gender | ||||
Male | 30,780 | 30,066 | 29,101 | 20,169 |
Female | 7,342 | 7,106 | 6,949 | 4,554 |
Transgender male-to-femaleb | 583 | 597 | 625 | 440 |
Transgender female-to-maleb | 36 | 48 | 46 | 38 |
Additional gender identityc | 13 | 14 | 19 | 10 |
Age at diagnosis (yr) | ||||
13–24 | 8,359 | 7,909 | 7,648 | 5,015 |
25–34 | 13,490 | 13,517 | 13,127 | 9,209 |
35–44 | 7,331 | 7,259 | 7,147 | 4,932 |
45–54 | 5,662 | 5,327 | 4,931 | 3,349 |
≥55 | 3,912 | 3,819 | 3,887 | 2,706 |
Race/ethnicity | ||||
American Indian/Alaska Native | 206 | 182 | 209 | 163 |
Asian | 918 | 853 | 738 | 513 |
Black/African American | 15,935 | 15,448 | 15,305 | 10,985 |
Hispanic/Latinod | 10,910 | 10,960 | 10,494 | 6,382 |
Native Hawaiian/other Pacific Islander | 54 | 66 | 70 | 57 |
White | 9,550 | 9,297 | 9,011 | 6,644 |
Multiracial | 1,181 | 1,025 | 913 | 467 |
Transmission categorye | ||||
Male-to-male sexual contact | 25,580 | 24,819 | 24,084 | 17,118 |
Injection drug use | ||||
Male | 1,333 | 1,432 | 1,397 | 985 |
Female | 1,062 | 1,086 | 1,111 | 676 |
Male-to-male sexual contact and injection drug use | 1,432 | 1,420 | 1,468 | 839 |
Heterosexual contactf | ||||
Male | 2,997 | 2,970 | 2,754 | 1,653 |
Female | 6,283 | 6,037 | 5,863 | 3,894 |
Otherg | ||||
Male | 34 | 35 | 37 | 25 |
Female | 33 | 32 | 25 | 21 |
Region of residenceh | ||||
Northeast | 6,000 | 5,562 | 5,268 | 3,356 |
Midwest | 5,086 | 4,932 | 4,750 | 3,417 |
South | 19,658 | 19,364 | 19,100 | 13,291 |
West | 7,545 | 7,524 | 7,219 | 4,896 |
U.S. dependent areas | 465 | 449 | 403 | 251 |
Total | 38,754 | 37,831 | 36,740 | 25,211 |
aData are for cases reported to CDC through December 2020, are considered preliminary until a 12-month reporting lag has been reached, and should be interpreted with caution. In addition to being preliminary, data for the year 2020 should be interpreted with caution due to the impact of the COVID-19 pandemic on HIV case surveillance activities in state/local jurisdictions.
bTransgender male-to-female” includes individuals who were assigned “male” sex at birth but have ever identified as “female” gender. “Transgender female-to-male” includes individuals who were assigned “female” sex at birth but have ever identified as “male” gender.
cAdditional gender identity examples include “bigender,” “gender queer,” and “two-spirit.”
dHispanic/Latino persons can be of any race.
eData have been statistically adjusted to account for missing transmission category, therefore values may not sum to column subtotals and total. Data presented based on sex at birth and include transgender persons.
fHeterosexual contact with a person known to have, or with a risk factor for, HIV infection.
gIncludes hemophilia, blood transfusion, perinatal exposure, and risk factor not reported or not identified.
hData are based on residence at time of diagnosis of HIV infection.
2017 | 2018 | 2019 | 2020 (preliminary)a |
|
---|---|---|---|---|
No. | No. | No. | No. | |
Alabama | 650 | 607 | 638 | 514 |
Alaska | 29 | 23 | 27 | 29 |
Arizona | 727 | 753 | 761 | 605 |
Arkansas | 287 | 278 | 287 | 253 |
California | 4,806 | 4,715 | 4,354 | 2,828 |
Colorado | 435 | 402 | 461 | 295 |
Connecticut | 274 | 259 | 213 | 147 |
Delaware | 126 | 91 | 93 | 94 |
District of Columbia | 316 | 281 | 255 | 184 |
Florida | 4,557 | 4,530 | 4,378 | 3,468 |
Georgia | 2,596 | 2,482 | 2,439 | 1,583 |
Hawaii | 77 | 72 | 65 | 38 |
Idaho | 46 | 37 | 28 | 9 |
Illinois | 1,367 | 1,374 | 1,252 | 681 |
Indiana | 515 | 509 | 486 | 398 |
Iowa | 125 | 116 | 100 | 90 |
Kansas | 119 | 157 | 131 | 103 |
Kentucky | 365 | 378 | 326 | 242 |
Louisiana | 996 | 961 | 881 | 729 |
Maine | 29 | 30 | 30 | 16 |
Maryland | 1,020 | 991 | 918 | 591 |
Massachusetts | 608 | 649 | 535 | 305 |
Michigan | 773 | 715 | 674 | 511 |
Minnesota | 277 | 288 | 274 | 210 |
Mississippi | 428 | 476 | 477 | 341 |
Missouri | 502 | 449 | 488 | 348 |
Montana | 32 | 23 | 25 | 14 |
Nebraska | 88 | 79 | 81 | 56 |
Nevada | 494 | 501 | 512 | 297 |
New Hampshire | 32 | 38 | 31 | 29 |
New Jersey | 1,123 | 1,021 | 1,057 | 525 |
New Mexico | 141 | 135 | 156 | 51 |
New York | 2,729 | 2,449 | 2,330 | 1,593 |
North Carolina | 1,295 | 1,186 | 1,365 | 1,026 |
North Dakota | 38 | 36 | 40 | 11 |
Ohio | 983 | 973 | 980 | 789 |
Oklahoma | 299 | 278 | 320 | 194 |
Oregon | 203 | 230 | 199 | 169 |
Pennsylvania | 1,100 | 1,023 | 989 | 687 |
Rhode Island | 85 | 75 | 72 | 47 |
South Carolina | 706 | 712 | 680 | 656 |
South Dakota | 39 | 29 | 33 | 32 |
Tennessee | 721 | 746 | 773 | 614 |
Texas | 4,356 | 4,422 | 4,302 | 2,095 |
Utah | 113 | 121 | 135 | 126 |
Vermont | 20 | 18 | 11 | 7 |
Virginia | 863 | 861 | 822 | 594 |
Washington | 432 | 500 | 483 | 423 |
West Virginia | 77 | 84 | 146 | 113 |
Wisconsin | 260 | 207 | 211 | 188 |
Wyoming | 10 | 12 | 13 | 12 |
Subtotal | 38,289 | 37,382 | 36,337 | 24,960 |
U.S. dependent areas | ||||
American Samoa | 0 | 0 | 0 | 0 |
Guam | 6 | 7 | 10 | 0 |
Northern Mariana Islands | 1 | 1 | 2 | 0 |
Puerto Rico | 450 | 431 | 383 | 249 |
Republic of Palau | 0 | 0 | 0 | 0 |
U.S. Virgin Islands | 8 | 10 | 8 | 2 |
Subtotal | 465 | 449 | 403 | 251 |
Total | 38,754 | 37,831 | 36,740 | 25,211 |
Note. Data are based on residence at time of diagnosis of HIV infection.
aData are for cases reported to CDC through December 2020, are considered preliminary until a 12-month reporting lag has been reached, and should be interpreted with caution. In addition to being preliminary, data for the year 2020 should be interpreted with caution due to the impact of the COVID-19 pandemic on HIV case surveillance activities in state/local jurisdictions.
2017 | 2018 | 2019 | 2020 (preliminary)a |
|
---|---|---|---|---|
No. | No. | No. | No. | |
Arizona | ||||
Maricopa County | 497 | 530 | 513 | 442 |
California | ||||
Alameda County | 203 | 199 | 219 | 137 |
Los Angeles County | 1,725 | 1,685 | 1,482 | 931 |
Orange County | 313 | 287 | 246 | 246 |
Riverside County | 276 | 262 | 268 | 214 |
Sacramento County | 170 | 156 | 136 | 20 |
San Bernardino County | 254 | 263 | 287 | 179 |
San Diego County | 414 | 382 | 366 | 196 |
San Francisco County | 243 | 238 | 207 | 149 |
District of Columbia | 316 | 281 | 255 | 184 |
Florida | ||||
Broward County | 671 | 616 | 594 | 479 |
Duval County | 297 | 275 | 273 | 222 |
Hillsborough County | 300 | 299 | 266 | 259 |
Miami-Dade County | 1,145 | 1,168 | 1,151 | 826 |
Orange County | 461 | 461 | 466 | 372 |
Palm Beach County | 289 | 280 | 237 | 215 |
Pinellas County | 163 | 175 | 184 | 151 |
Georgia | ||||
Cobb County | 156 | 153 | 179 | 112 |
DeKalb County | 366 | 355 | 351 | 218 |
Fulton County | 615 | 592 | 537 | 440 |
Gwinnett County | 178 | 148 | 208 | 93 |
Illinois | ||||
Cook County | 979 | 983 | 881 | 531 |
Indiana | ||||
Marion County | 227 | 204 | 206 | 146 |
Louisiana | ||||
East Baton Rouge Parish | 163 | 177 | 153 | 119 |
Orleans Parish | 184 | 179 | 158 | 104 |
Maryland | ||||
Baltimore City | 236 | 231 | 199 | 141 |
Montgomery County | 164 | 126 | 132 | 73 |
Prince George’s County | 308 | 306 | 279 | 165 |
Massachusetts | ||||
Suffolk County | 165 | 149 | 133 | 99 |
Michigan | ||||
Wayne County | 323 | 300 | 285 | 218 |
Nevada | ||||
Clark County | 445 | 445 | 449 | 255 |
New Jersey | ||||
Essex County | 315 | 265 | 234 | 127 |
Hudson County | 164 | 161 | 147 | 93 |
New York | ||||
Bronx County | 505 | 456 | 499 | 271 |
Kings County | 628 | 547 | 466 | 348 |
New York County | 394 | 374 | 338 | 247 |
Queens County | 431 | 413 | 354 | 251 |
North Carolina | ||||
Mecklenburg County | 270 | 242 | 267 | 201 |
Ohio | ||||
Cuyahoga County | 148 | 149 | 162 | 171 |
Franklin County | 222 | 194 | 214 | 171 |
Hamilton County | 187 | 183 | 173 | 117 |
Pennsylvania | ||||
Philadelphia County | 506 | 439 | 446 | 278 |
Puerto Rico | ||||
San Juan Municipio | 112 | 106 | 85 | 57 |
Tennessee | ||||
Shelby County | 260 | 291 | 263 | 224 |
Texas | ||||
Bexar County | 349 | 325 | 336 | 216 |
Dallas County | 813 | 794 | 733 | 526 |
Harris County | 1,102 | 1,206 | 1,195 | 339 |
Tarrant County | 304 | 277 | 307 | 185 |
Travis County | 212 | 188 | 174 | 111 |
Washington | ||||
King County | 211 | 292 | 245 | 214 |
Note. Data are based on residence at time of diagnosis of HIV infection.
aData are for cases reported to CDC through December 2020, are considered preliminary until a 12-month reporting lag has been reached, and should be interpreted with caution. In addition to being preliminary, data for the year 2020 should be interpreted with caution due to the impact of the COVID-19 pandemic on HIV case surveillance activities in state/local jurisdictions.
2019 | 2020 (January–September, preliminary)a | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
Total | ≥1 CD4 or VL tests | No CD4 or VL test | Total | ≥1 CD4 or VL tests | No CD4 or VL test | |||||
No. | No. | % | No. | % | No. | No. | % | No. | % | |
Gender | ||||||||||
Male | 26,827 | 21,873 | 81.5 | 4,954 | 18.5 | 15,460 | 12,774 | 82.6 | 2,686 | 17.4 |
Female | 6,322 | 5,067 | 80.1 | 1,255 | 19.9 | 3,549 | 2,928 | 82.5 | 621 | 17.5 |
Transgender male-to-femaleb | 584 | 484 | 82.9 | 100 | 17.1 | 349 | 292 | 83.7 | 57 | 16.3 |
Transgender female-to-maleb | 45 | 40 | 88.9 | 5 | 11.1 | 28 | 27 | 96.4 | 1 | 3.6 |
Additional gender identityc | 17 | 15 | 88.2 | 2 | 11.8 | 7 | 7 | 100 | 0 | 0.0 |
Age at diagnosis (yr) | ||||||||||
13–24 | 7,093 | 5,602 | 79.0 | 1,491 | 21.0 | 3,895 | 3,133 | 80.4 | 762 | 19.6 |
25–34 | 12,105 | 9,775 | 80.8 | 2,330 | 19.2 | 7,160 | 5,896 | 82.3 | 1,264 | 17.7 |
35–44 | 6,560 | 5,405 | 82.4 | 1,155 | 17.6 | 3,719 | 3,067 | 82.5 | 652 | 17.5 |
45–54 | 4,523 | 3,767 | 83.3 | 756 | 16.7 | 2,542 | 2,167 | 85.2 | 375 | 14.8 |
≥55 | 3,514 | 2,930 | 83.4 | 584 | 16.6 | 2,077 | 1,765 | 85.0 | 312 | 15.0 |
Race/ethnicity | ||||||||||
American Indian/Alaska Native | 206 | 172 | 83.5 | 34 | 16.5 | 127 | 103 | 81.1 | 24 | 18.9 |
Asian | 687 | 570 | 83.0 | 117 | 17.0 | 409 | 366 | 89.5 | 43 | 10.5 |
Black/African American | 14,268 | 11,179 | 78.4 | 3,089 | 21.6 | 8,510 | 6,870 | 80.7 | 1,640 | 19.3 |
Hispanic/Latinod | 9,478 | 8,004 | 84.4 | 1,474 | 15.6 | 4,902 | 4,111 | 83.9 | 791 | 16.1 |
Native Hawaiian/other Pacific Islander | 66 | 53 | 80.3 | 13 | 19.7 | 49 | 41 | 83.7 | 8 | 16.3 |
White | 8,249 | 6,817 | 82.6 | 1,432 | 17.4 | 5,028 | 4,217 | 83.9 | 811 | 16.1 |
Multiracial | 841 | 684 | 81.3 | 157 | 18.7 | 368 | 320 | 87.0 | 48 | 13.0 |
Transmission categorye | ||||||||||
Male-to-male sexual contact | 22,392 | 18,389 | 82.1 | 4,003 | 17.9 | 13,203 | 10,955 | 83.0 | 2,247 | 17.0 |
Injection drug use | 2,175 | 1,640 | 75.4 | 535 | 24.6 | 1,232 | 985 | 80.0 | 246 | 20.0 |
Male injection drug use | 1,190 | 900 | 75.7 | 290 | 24.3 | 694 | 556 | 80.2 | 137 | 19.8 |
Female injection drug use | 985 | 740 | 75.1 | 245 | 24.9 | 538 | 429 | 79.7 | 109 | 20.3 |
Male-to-male sexual contact and injection drug use | 1,347 | 1,080 | 80.2 | 267 | 19.8 | 650 | 531 | 81.7 | 119 | 18.3 |
Heterosexual contactf | 7,821 | 6,320 | 80.8 | 1,501 | 19.2 | 4,271 | 3,523 | 82.5 | 749 | 17.5 |
Male Heterosexual contact | 2,459 | 1,969 | 80.1 | 490 | 19.9 | 1,251 | 1,014 | 81.1 | 237 | 18.9 |
Female Heterosexual contact | 5,362 | 4,351 | 81.1 | 1,011 | 18.9 | 3,020 | 2,509 | 83.1 | 512 | 16.9 |
Totalg | 33,795 | 27,479 | 81.3 | 6,316 | 18.7 | 19,393 | 16,028 | 82.6 | 3,365 | 17.4 |
Abbreviations: CD4, CD4+ T-lymphocyte count (cells/µL) or percentage; VL, viral load (copies/mL).
Note. Data are based on residence at diagnosis.
Linkage to HIV medical care was measured by documentation of ≥1 CD4 or VL tests ≤1 month after HIV diagnosis. Data not provided for 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 and New Jersey. Areas with incomplete lab reporting: Kansas, Kentucky, Pennsylvania (excluding Philadelphia), Puerto Rico, and Vermont.
aData are for cases reported to CDC through December 2020, are considered preliminary until a 12-month reporting lag has been reached, and should be interpreted with caution. In addition to being preliminary, data for the year 2020 should be interpreted with caution due to the impact of the COVID-19 pandemic on HIV case surveillance activities in state/local jurisdictions.
bTransgender male-to-female” includes individuals who were assigned “male” sex at birth but have ever identified as “female” gender. “Transgender female-to-male” includes individuals who were assigned “female” sex at birth but have ever identified as “male” gender.
cAdditional gender identity examples include “bigender,” “gender queer,” and “two-spirit.”
dHispanic/Latino persons can be of any race.
eData have been statistically adjusted to account for missing transmission category, therefore values may not sum to column subtotals and total. Data presented based on sex at birth and include transgender persons.
fHeterosexual contact with a person known to have, or with a risk factor for, HIV infection.
gIncludes persons whose infection was attributed to hemophilia, blood transfusion, or perinatal exposure or whose risk factor was not reported or not identified. Data not displayed because the numbers were too small to be meaningful.
2019 | 2020 (January–September, preliminary)a | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
Total | ≥1 CD4 or VL tests | No CD4 or VL test | Total | ≥1 CD4 or VL tests | No CD4 or VL test | |||||
Area of residence | No. | No. | % | No. | % | No. | No. | % | No. | % |
Alabama | 638 | 505 | 79.2 | 133 | 20.8 | 432 | 335 | 77.5 | 97 | 22.5 |
Alaska | 27 | 23 | 85.2 | 4 | 14.8 | 24 | 23 | 95.8 | 1 | 4.2 |
Arizona | 761 | 630 | 82.8 | 131 | 17.2 | 504 | 427 | 84.7 | 77 | 15.3 |
Arkansas | 287 | 229 | 79.8 | 58 | 20.2 | 211 | 176 | 83.4 | 35 | 16.6 |
California | 4,354 | 3,601 | 82.7 | 753 | 17.3 | 2,424 | 2,063 | 85.1 | 361 | 14.9 |
Colorado | 461 | 385 | 83.5 | 76 | 16.5 | 232 | 201 | 86.6 | 31 | 13.4 |
Connecticut | 213 | 186 | 87.3 | 27 | 12.7 | 133 | 111 | 83.5 | 22 | 16.5 |
Delaware | 93 | 71 | 76.3 | 22 | 23.7 | 73 | 58 | 79.5 | 15 | 20.5 |
District of Columbia | 255 | 210 | 82.4 | 45 | 17.6 | 144 | 130 | 90.3 | 14 | 9.7 |
Florida | 4,378 | 3,662 | 83.6 | 716 | 16.4 | 2,677 | 2,258 | 84.3 | 419 | 15.7 |
Georgia | 2,439 | 1,961 | 80.4 | 478 | 19.6 | 1,330 | 1,148 | 86.3 | 182 | 13.7 |
Hawaii | 65 | 55 | 84.6 | 10 | 15.4 | 28 | 25 | 89.3 | 3 | 10.7 |
Illinois | 1,252 | 1,042 | 83.2 | 210 | 16.8 | 621 | 532 | 85.7 | 89 | 14.3 |
Indiana | 486 | 307 | 63.2 | 179 | 36.8 | 320 | 232 | 72.5 | 88 | 27.5 |
Iowa | 100 | 91 | 91.0 | 9 | 9.0 | 70 | 63 | 90.0 | 7 | 10.0 |
Louisiana | 881 | 722 | 82.0 | 159 | 18.0 | 543 | 408 | 75.1 | 135 | 24.9 |
Maine | 30 | 28 | 93.3 | 2 | 6.7 | 13 | 12 | 92.3 | 1 | 7.7 |
Maryland | 918 | 798 | 86.9 | 120 | 13.1 | 507 | 460 | 90.7 | 47 | 9.3 |
Massachusetts | 535 | 486 | 90.8 | 49 | 9.2 | 276 | 240 | 87.0 | 36 | 13.0 |
Michigan | 674 | 565 | 83.8 | 109 | 16.2 | 392 | 327 | 83.4 | 65 | 16.6 |
Minnesota | 274 | 250 | 91.2 | 24 | 8.8 | 162 | 141 | 87.0 | 21 | 13.0 |
Mississippi | 477 | 339 | 71.1 | 138 | 28.9 | 282 | 215 | 76.2 | 67 | 23.8 |
Missouri | 488 | 376 | 77.0 | 112 | 23.0 | 273 | 213 | 78.0 | 60 | 22.0 |
Montana | 25 | 22 | 88.0 | 3 | 12.0 | 8 | 7 | 87.5 | 1 | 12.5 |
Nebraska | 81 | 65 | 80.2 | 16 | 19.8 | 44 | 41 | 93.2 | 3 | 6.8 |
Nevada | 512 | 425 | 83.0 | 87 | 17.0 | 257 | 222 | 86.4 | 35 | 13.6 |
New Hampshire | 31 | 27 | 87.1 | 4 | 12.9 | 22 | 17 | 77.3 | 5 | 22.7 |
New Mexico | 156 | 138 | 88.5 | 18 | 11.5 | 47 | 41 | 87.2 | 6 | 12.8 |
New York | 2,330 | 2,027 | 87.0 | 303 | 13.0 | 1,399 | 1,226 | 87.6 | 173 | 12.4 |
North Carolina | 1,365 | 1,077 | 78.9 | 288 | 21.1 | 802 | 665 | 82.9 | 137 | 17.1 |
North Dakota | 40 | 36 | 90.0 | 4 | 10.0 | 11 | 10 | 90.9 | 1 | 9.1 |
Ohio | 980 | 819 | 83.6 | 161 | 16.4 | 690 | 607 | 88.0 | 83 | 12.0 |
Oklahoma | 320 | 222 | 69.4 | 98 | 30.6 | 156 | 122 | 78.2 | 34 | 21.8 |
Oregon | 199 | 173 | 86.9 | 26 | 13.1 | 131 | 113 | 86.3 | 18 | 13.7 |
Rhode Island | 72 | 65 | 90.3 | 7 | 9.7 | 44 | 41 | 93.2 | 3 | 6.8 |
South Carolina | 680 | 596 | 87.6 | 84 | 12.4 | 529 | 467 | 88.3 | 62 | 11.7 |
South Dakota | 33 | 26 | 78.8 | 7 | 21.2 | 27 | 23 | 85.2 | 4 | 14.8 |
Tennessee | 773 | 534 | 69.1 | 239 | 30.9 | 497 | 370 | 74.4 | 127 | 25.6 |
Texas | 4,302 | 3,210 | 74.6 | 1,092 | 25.4 | 1,911 | 1,331 | 69.6 | 580 | 30.4 |
Utah | 135 | 106 | 78.5 | 29 | 21.5 | 103 | 46 | 44.7 | 57 | 55.3 |
Virginia | 822 | 647 | 78.7 | 175 | 21.3 | 474 | 380 | 80.2 | 94 | 19.8 |
Washington | 483 | 432 | 89.4 | 51 | 10.6 | 319 | 287 | 90.0 | 32 | 10.0 |
West Virginia | 146 | 107 | 73.3 | 39 | 26.7 | 101 | 78 | 77.2 | 23 | 22.8 |
Wisconsin | 211 | 190 | 90.0 | 21 | 10.0 | 141 | 128 | 90.8 | 13 | 9.2 |
Wyoming | 13 | 13 | 100 | 0 | 0.0 | 9 | 8 | 88.9 | 1 | 11.1 |
Total | 33,795 | 27,479 | 81.3 | 6,316 | 18.7 | 19,393 | 16,028 | 82.6 | 3,365 | 17.4 |
Abbreviations: CD4, CD4+ T-lymphocyte count (cells/µL) or percentage; VL, viral load (copies/mL).
Note. Data are based on residence at diagnosis. Linkage to HIV medical care was measured by documentation of ≥1 CD4 or VL tests ≤1 month after HIV diagnosis. Data not provided for states and associated counties 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 and New Jersey. Areas with incomplete lab reporting: Kansas, Kentucky, Pennsylvania (excluding Philadelphia), Puerto Rico , and Vermont.
aData are for cases reported to CDC through December 2020, are considered preliminary until a 12-month reporting lag has been reached, and should be interpreted with caution. In addition to being preliminary, data for the year 2020 should be interpreted with caution due to the impact of the COVID-19 pandemic on HIV case surveillance activities in state/local jurisdictions.
2019 | 2020 (January–September, preliminary)a | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
Total | ≥1 CD4 or VL tests | No CD4 or VL test | Total | ≥1 CD4 or VL tests | No CD4 or VL test | |||||
No. | No. | % | No. | % | No. | No. | % | No. | % | |
Arizona | ||||||||||
Maricopa County | 513 | 417 | 81.3 | 96 | 18.7 | 364 | 312 | 85.7 | 52 | 14.3 |
California | ||||||||||
Alameda County | 219 | 195 | 89.0 | 24 | 11.0 | 117 | 98 | 83.8 | 19 | 16.2 |
Los Angeles County | 1,482 | 1,198 | 80.8 | 284 | 19.2 | 806 | 688 | 85.4 | 118 | 14.6 |
Orange County | 246 | 199 | 80.9 | 47 | 19.1 | 201 | 180 | 89.6 | 21 | 10.4 |
Riverside County | 268 | 216 | 80.6 | 52 | 19.4 | 176 | 145 | 82.4 | 31 | 17.6 |
Sacramento County | 136 | 118 | 86.8 | 18 | 13.2 | 15 | 11 | 73.3 | 4 | 26.7 |
San Bernardino County | 287 | 208 | 72.5 | 79 | 27.5 | 166 | 123 | 74.1 | 43 | 25.9 |
San Diego County | 366 | 317 | 86.6 | 49 | 13.4 | 191 | 170 | 89.0 | 21 | 11.0 |
San Francisco County | 207 | 199 | 96.1 | 8 | 3.9 | 116 | 111 | 95.7 | 5 | 4.3 |
District of Columbia | 255 | 210 | 82.4 | 45 | 17.6 | 144 | 130 | 90.3 | 14 | 9.7 |
Florida | ||||||||||
Broward County | 594 | 517 | 87.0 | 77 | 13.0 | 359 | 310 | 86.4 | 49 | 13.6 |
Duval County | 273 | 210 | 76.9 | 63 | 23.1 | 178 | 143 | 80.3 | 35 | 19.7 |
Hillsborough County | 266 | 228 | 85.7 | 38 | 14.3 | 196 | 167 | 85.2 | 29 | 14.8 |
Miami-Dade County | 1,151 | 971 | 84.4 | 180 | 15.6 | 641 | 533 | 83.2 | 108 | 16.8 |
Orange County | 466 | 365 | 78.3 | 101 | 21.7 | 289 | 251 | 86.9 | 38 | 13.1 |
Palm Beach County | 237 | 187 | 78.9 | 50 | 21.1 | 179 | 148 | 82.7 | 31 | 17.3 |
Pinellas County | 184 | 157 | 85.3 | 27 | 14.7 | 116 | 101 | 87.1 | 15 | 12.9 |
Georgia | ||||||||||
Cobb County | 179 | 151 | 84.4 | 28 | 15.6 | 87 | 78 | 89.7 | 9 | 10.3 |
DeKalb County | 351 | 284 | 80.9 | 67 | 19.1 | 186 | 164 | 88.2 | 22 | 11.8 |
Fulton County | 537 | 450 | 83.8 | 87 | 16.2 | 356 | 311 | 87.4 | 45 | 12.6 |
Gwinnett County | 208 | 170 | 81.7 | 38 | 18.3 | 84 | 67 | 79.8 | 17 | 20.2 |
Illinois | ||||||||||
Cook County | 881 | 732 | 83.1 | 149 | 16.9 | 479 | 410 | 85.6 | 69 | 14.4 |
Indiana | ||||||||||
Marion County | 206 | 108 | 52.4 | 98 | 47.6 | 126 | 90 | 71.4 | 36 | 28.6 |
Louisiana | ||||||||||
East Baton Rouge Parish | 153 | 135 | 88.2 | 18 | 11.8 | 95 | 75 | 78.9 | 20 | 21.1 |
Orleans Parish | 158 | 130 | 82.3 | 28 | 17.7 | 72 | 57 | 79.2 | 15 | 20.8 |
Maryland | ||||||||||
Baltimore City | 199 | 169 | 84.9 | 30 | 15.1 | 124 | 111 | 89.5 | 13 | 10.5 |
Montgomery County | 132 | 117 | 88.6 | 15 | 11.4 | 60 | 57 | 95.0 | 3 | 5.0 |
Prince George’s County | 279 | 245 | 87.8 | 34 | 12.2 | 150 | 137 | 91.3 | 13 | 8.7 |
Massachusetts | ||||||||||
Suffolk County | 133 | 124 | 93.2 | 9 | 6.8 | 85 | 74 | 87.1 | 11 | 12.9 |
Michigan | ||||||||||
Wayne County | 285 | 243 | 85.3 | 42 | 14.7 | 168 | 138 | 82.1 | 30 | 17.9 |
Nevada | ||||||||||
Clark County | 449 | 371 | 82.6 | 78 | 17.4 | 222 | 191 | 86.0 | 31 | 14.0 |
New York | ||||||||||
Bronx County | 499 | 435 | 87.2 | 64 | 12.8 | 241 | 208 | 86.3 | 33 | 13.7 |
Kings County | 466 | 397 | 85.2 | 69 | 14.8 | 306 | 265 | 86.6 | 41 | 13.4 |
New York County | 338 | 297 | 87.9 | 41 | 12.1 | 214 | 179 | 83.6 | 35 | 16.4 |
Queens County | 354 | 302 | 85.3 | 52 | 14.7 | 229 | 212 | 92.6 | 17 | 7.4 |
North Carolina | ||||||||||
Mecklenburg County | 267 | 209 | 78.3 | 58 | 21.7 | 148 | 122 | 82.4 | 26 | 17.6 |
Ohio | ||||||||||
Cuyahoga County | 162 | 143 | 88.3 | 19 | 11.7 | 141 | 131 | 92.9 | 10 | 7.1 |
Franklin County | 214 | 196 | 91.6 | 18 | 8.4 | 153 | 137 | 89.5 | 16 | 10.5 |
Hamilton County | 173 | 147 | 85.0 | 26 | 15.0 | 102 | 92 | 90.2 | 10 | 9.8 |
Pennsylvania | ||||||||||
Philadelphia County | 446 | 377 | 84.5 | 69 | 15.5 | 223 | 193 | 86.5 | 30 | 13.5 |
Tennessee | ||||||||||
Shelby County | 263 | 160 | 60.8 | 103 | 39.2 | 185 | 128 | 69.2 | 57 | 30.8 |
Texas | ||||||||||
Bexar County | 336 | 237 | 70.5 | 99 | 29.5 | 208 | 132 | 63.5 | 76 | 36.5 |
Dallas County | 733 | 557 | 76.0 | 176 | 24.0 | 462 | 319 | 69.0 | 143 | 31.0 |
Harris County | 1,195 | 889 | 74.4 | 306 | 25.6 | 335 | 233 | 69.6 | 102 | 30.4 |
Tarrant County | 307 | 218 | 71.0 | 89 | 29.0 | 158 | 103 | 65.2 | 55 | 34.8 |
Travis County | 174 | 152 | 87.4 | 22 | 12.6 | 99 | 77 | 77.8 | 22 | 22.2 |
Washington | ||||||||||
King County | 245 | 222 | 90.6 | 23 | 9.4 | 151 | 140 | 92.7 | 11 | 7.3 |
Abbreviations: CD4, CD4+ T-lymphocyte count (cells/µL) or percentage; VL, viral load (copies/mL).
Note. Data are based on residence at diagnosis. Linkage to HIV medical care was measured by documentation of ≥1 CD4 or VL tests ≤1 month after HIV diagnosis. Data not provided for states and associated counties 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: New Jersey. Areas with incomplete reporting: Pennsylvania (excluding Philadelphia) and Puerto Rico.
Persons alive at year-end 2019 | VL < 200 copies/mL | ||
---|---|---|---|
No. | No. | % | |
Gender | |||
Male | 702,412 | 462,753 | 65.9 |
Female | 212,405 | 136,113 | 64.1 |
Transgender male-to-femalea | 9,699 | 6,503 | 67.0 |
Transgender female-to-malea | 391 | 267 | 68.3 |
Additional gender identityb | 170 | 120 | 70.6 |
Age at year-end 2018 (yr) | |||
13–24 | 29,533 | 18,681 | 63.3 |
25–34 | 147,061 | 91,988 | 62.6 |
35–44 | 175,204 | 110,891 | 63.3 |
45–54 | 254,886 | 169,826 | 66.6 |
≥55 | 318,393 | 214,370 | 67.3 |
Race/ethnicity | |||
American Indian/Alaska Native | 2,924 | 1,836 | 62.8 |
Asianc | 13,903 | 9,731 | 70.0 |
Black/African American | 371,711 | 225,899 | 60.8 |
Hispanic/Latinod | 220,914 | 142,709 | 64.6 |
Native Hawaiian/other Pacific Islander | 815 | 529 | 64.9 |
White | 270,980 | 193,402 | 71.4 |
Multiracial | 43,145 | 31,592 | 73.2 |
Transmission categorye | |||
Male-to-male sexual contact | 528,606 | 359,821 | 68.1 |
Injection drug use | 98,291 | 55,907 | 56.9 |
Male Injection drug use | 56,813 | 30,489 | 53.7 |
Female Injection drug use | 41,478 | 25,418 | 61.3 |
Male-to-male sexual contact and injection drug use | 51,307 | 33,657 | 65.6 |
Heterosexual contactf | 233,548 | 148,842 | 63.7 |
Male Heterosexual contact | 68,761 | 41,608 | 60.5 |
Female Heterosexual contact | 164,787 | 107,234 | 65.1 |
Otherg | 13,325 | 7,529 | 56.5 |
Male Other | 6,771 | 3,787 | 55.9 |
Female Other | 6,554 | 3,742 | 57.1 |
Totalh | 925,077 | 605,756 | 65.5 |
Abbreviation: VL, viral load (copies/mL).
Note. Data are based on address of residence as of December 31, 2019 (i.e., most recent known address). A VL test result of <200 copies/mL indicates HIV viral suppression. VL test results are from the most recent test during 2019. Data not provided for states and associated counties 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 and New Jersey. Areas with incomplete lab reporting: Kansas, Kentucky, Pennsylvania (excluding Philadelphia), Puerto Rico, and Vermont.
aTransgender male-to-female” includes individuals who were assigned “male” sex at birth but have ever identified as “female” gender. “Transgender female-to-male” includes individuals who were assigned “female” sex at birth but have ever identified as “male” gender.
bAdditional gender identity examples include “bigender,” “gender queer,” and “two-spirit.”
cIncludes Asian/Pacific Islander legacy cases.
dHispanic/Latino persons can be of any race.
eData have been statistically adjusted to account for missing transmission category; therefore, values may not sum to the column total. Data presented based on sex at birth and include transgender persons.
fHeterosexual contact with a person known to have, or with a risk factor for, HIV infection.
gIncludes hemophilia, blood transfusion, perinatal exposure, and risk factor not reported or not identified.
hIncludes 685 persons of unknown race/ethnicity.
Persons alive at year-end 2019 | VL < 200 copies/mL | ||
---|---|---|---|
Area of residence | No. | No. | % |
Alabama | 13,245 | 8,837 | 66.7 |
Alaska | 700 | 552 | 78.9 |
Arizona | 16,537 | 10,276 | 62.1 |
Arkansas | 5,668 | 2,715 | 47.9 |
California | 128,592 | 86,913 | 67.6 |
Colorado | 12,556 | 7,526 | 59.9 |
Connecticut | 10,380 | 7,059 | 68.0 |
Delaware | 3,286 | 2,456 | 74.7 |
District of Columbia | 13,777 | 8,082 | 58.7 |
Florida | 109,195 | 73,187 | 67.0 |
Georgia | 54,031 | 33,270 | 61.6 |
Hawaii | 2,324 | 1,762 | 75.8 |
Illinois | 34,564 | 19,097 | 55.3 |
Indiana | 11,145 | 6,705 | 60.2 |
Iowa | 2,785 | 2,275 | 81.7 |
Louisiana | 20,425 | 13,952 | 68.3 |
Maine | 1,613 | 1,307 | 81.0 |
Maryland | 32,466 | 21,083 | 64.9 |
Massachusettsa | 20,514 | 14,581 | 71.1 |
Michigan | 15,903 | 11,713 | 73.7 |
Minnesota | 8,532 | 5,934 | 69.5 |
Mississippia | 9,356 | 5,043 | 53.9 |
Missouri | 12,320 | 8,277 | 67.2 |
Montana | 638 | 535 | 83.9 |
Nebraska | 2,151 | 1,355 | 63.0 |
Nevadaa | 10,228 | 5,911 | 57.8 |
New Hampshire | 1,273 | 965 | 75.8 |
New Mexico | 3,582 | 2,162 | 60.4 |
New York | 124,135 | 81,751 | 65.9 |
North Carolina | 31,640 | 21,291 | 67.3 |
North Dakotaa | 456 | 324 | 71.1 |
Ohio | 22,204 | 13,969 | 62.9 |
Oklahoma | 6,033 | 3,521 | 58.4 |
Oregon | 7,080 | 5,701 | 80.5 |
Rhode Island | 2,584 | 2,047 | 79.2 |
South Carolina | 16,917 | 11,967 | 70.7 |
South Dakota | 618 | 321 | 51.9 |
Tennessee | 16,957 | 11,383 | 67.1 |
Texas | 90,852 | 56,315 | 62.0 |
Utah | 2,947 | 2,092 | 71.0 |
Virginia | 22,870 | 14,462 | 63.2 |
Washington | 13,539 | 10,861 | 80.2 |
West Virginia | 1,847 | 1,182 | 64.0 |
Wisconsin | 6,279 | 4,813 | 76.7 |
Wyoming | 333 | 226 | 67.9 |
Abbreviations: VL, viral load (copies/mL).
Note. Data are based on address of residence as of December 31, 2019 (i.e., most recent known address). A VL test result of <200 copies/mL indicates HIV viral suppression. VL test results are from the most recent test during 2019. Data not provided for states and associated counties 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 and New Jersey. Areas with incomplete lab reporting: Kansas, Kentucky, Pennsylvania (excluding Philadelphia), Puerto Rico, and Vermont.
aEstimates should be interpreted with caution due to incomplete ascertainment of deaths that occurred during the year 2019.
Persons alive at year-end 2019 | VL < 200 copies/mL | ||
---|---|---|---|
Area of residence | No. | No. | % |
Arizona | |||
Maricopa County | 11,288 | 7,262 | 64.3 |
California | |||
Alameda County | 5,886 | 4,311 | 73.2 |
Los Angeles County | 48,185 | 31,185 | 64.7 |
Orange County | 6,744 | 4,438 | 65.8 |
Riverside County | 9,196 | 7,198 | 78.3 |
Sacramento County | 4,230 | 2,984 | 70.5 |
San Bernardino County | 4,445 | 2,759 | 62.1 |
San Diego County | 12,882 | 7,866 | 61.1 |
San Francisco County | 11,804 | 9,086 | 77.0 |
District of Columbia | 13,777 | 8,082 | 58.7 |
Florida | |||
Broward County | 19,237 | 13,416 | 69.7 |
Duval County | 5,973 | 3,816 | 63.9 |
Hillsborough County | 6,784 | 4,891 | 72.1 |
Miami-Dade County | 25,480 | 15,194 | 59.6 |
Orange County | 8,432 | 5,815 | 69.0 |
Palm Beach County | 7,785 | 4,854 | 62.4 |
Pinellas County | 4,521 | 3,437 | 76.0 |
Georgia | |||
Cobb County | 3,168 | 2,049 | 64.7 |
DeKalb County | 8,528 | 5,504 | 64.5 |
Fulton County | 15,116 | 9,378 | 62.0 |
Gwinnett County | 2,885 | 1,921 | 66.6 |
Illinois | |||
Cook County | 24,960 | 13,074 | 52.4 |
Indiana | |||
Marion County | 4,450 | 2,611 | 58.7 |
Louisiana | |||
East Baton Rouge Parish | 3,795 | 2,775 | 73.1 |
Orleans Parish | 4,833 | 3,294 | 68.2 |
Maryland | |||
Baltimore City | 10,091 | 6,409 | 63.5 |
Montgomery County | 3,787 | 2,148 | 56.7 |
Prince George’s County | 7,786 | 5,063 | 65.0 |
Massachusetts | |||
Suffolk Countya | 5,621 | 3,986 | 70.9 |
Michigan | |||
Wayne County | 6,666 | 4,652 | 69.8 |
Nevada | |||
Clark Countya | 8,601 | 5,068 | 58.9 |
New York | |||
Bronx County | 27,548 | 18,158 | 65.9 |
Kings County | 26,035 | 16,886 | 64.9 |
New York County | 26,599 | 16,660 | 62.6 |
Queens County | 15,730 | 10,124 | 64.4 |
North Carolina | |||
Mecklenburg County | 5,822 | 4,068 | 69.9 |
Ohio | |||
Cuyahoga County | 4,642 | 3,082 | 66.4 |
Franklin County | 4,846 | 3,275 | 67.6 |
Hamilton County | 2,884 | 1,406 | 48.8 |
Pennsylvania | |||
Philadelphia County | 16,731 | 10,656 | 63.7 |
Tennessee | |||
Shelby County | 6,079 | 3,957 | 65.1 |
Texas | |||
Bexar County | 6,246 | 4,088 | 65.4 |
Dallas County | 17,992 | 10,980 | 61.0 |
Harris County | 21,455 | 12,282 | 57.2 |
Tarrant County | 5,678 | 3,695 | 65.1 |
Travis County | 4,873 | 3,662 | 75.1 |
Washington | |||
King County | 6,844 | 5,673 | 82.9 |
Abbreviations: VL, viral load (copies/mL).
Note. Data are based on address of residence as of December 31, 2019 (i.e., most recent known address). A VL test result of <200 copies/mL indicates HIV viral suppression. VL test results are from the most recent test during 2019. Data not provided for states and associated counties 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: New Jersey. Areas with incomplete lab reporting: Pennsylvania (excluding Philadelphia) and Puerto Rico.
aEstimates should be interpreted with caution due to incomplete ascertainment of deaths that occurred during the year 2019.
Area of Residence | 2017 | 2018 | 2019 | 2020 (January-September) | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Persons prescribed PrEPa
No. |
Persons with PrEP indicationsb
No. |
PrEP coveragec
% |
Persons prescribed PrEPa
No. |
Persons with PrEP indicationsb
No. |
PrEP coveragec
% |
Persons prescribed PrEPa
No. |
Persons with PrEP indicationsb
No. |
PrEP coveragec
% |
Persons prescribed PrEPa
No. |
Persons with PrEP indicationsb
No. |
PrEP coveragec
% |
|
Sex at birth | ||||||||||||
Male | 149,620 | 993,840 | 15.1 | 210,427 | 989,200 | 21.3 | 262,360 | 989,200 | 26.5 | 254,738 | 989,200 | 25.8 |
Female | 11,458 | 227,240 | 5.0 | 15,995 | 227,010 | 7.0 | 21,955 | 227,010 | 9.7 | 20,430 | 227,010 | 9.0 |
Age (yr) | ||||||||||||
16-24 | 20,071 | 259,130 | 7.7 | 29,743 | 246,290 | 12.1 | 38,316 | 246,290 | 15.6 | 31,871 | 246,290 | 12.9 |
25-34 | 64,906 | 425,690 | 15.2 | 92,924 | 434,680 | 21.4 | 116,012 | 434,680 | 26.7 | 108,718 | 434,680 | 25.0 |
35-44 | 38,088 | 233,560 | 16.3 | 52,576 | 238,470 | 22.0 | 66,005 | 238,470 | 27.7 | 67,169 | 238,470 | 28.2 |
45-54 | 25,252 | 180,870 | 14.0 | 32,775 | 173,420 | 18.9 | 38,718 | 173,420 | 22.3 | 38,505 | 173,420 | 22.2 |
≥55 | 12,868 | 121,830 | 10.6 | 18,523 | 123,350 | 15.0 | 25,413 | 123,350 | 20.6 | 29,006 | 123,350 | 23.5 |
Race/ethnicityd | ||||||||||||
Black/African American | 20,255 | 475,100 | 4.3 | 29,262 | 468,540 | 6.2 | 38,284 | 468,540 | 8.2 | 37,467 | 468,540 | 8.0 |
Hispanic/Latinoe | 23,142 | 299,580 | 7.7 | 34,228 | 312,820 | 10.9 | 43,812 | 312,820 | 14.0 | 42,831 | 312,820 | 13.7 |
Other | 7,149 | 132,040 | 5.4 | 9,836 | 131,180 | 7.5 | 11,953 | 131,180 | 9.1 | 11,201 | 131,180 | 8.5 |
White | 110,638 | 311,250 | 35.5 | 153,215 | 300,650 | 51.0 | 190,415 | 300,650 | 63.3 | 183,769 | 300,650 | 61.1 |
Total | 161,185 | 1,221,080 | 13.2 | 226,541 | 1,216,210 | 18.6 | 284,464 | 1,216,210 | 23.4 | 275,269 | 1,216,210 | 22.6 |
Abbreviations: PrEP, preexposure propphylaxis; n/a, not available.
aEstimated using data from IQVIA pharmacy database reported through September 2020 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.
bEstimated using 2017 and 2018 data from National HIV Surveillance System, data from the National Health and Nutrition Examination Survey, and from 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, 2019 and 2020 PrEP coverage data.
cPrEP 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.
dRace/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.
eHispanic/Latino persons can be of any race.
Area of Residence | 2017 | 2018 | 2019 | 2020 (January-September) | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Persons prescribed PrEPa
No. |
Persons with PrEP indicationsb
No. |
PrEP coveragec
% |
Persons prescribed PrEPa
No. |
Persons with PrEP indicationsb
No. |
PrEP coveragec
% |
Persons prescribed PrEPa
No. |
Persons with PrEP indicationsb
No. |
PrEP coveragec
% |
Persons prescribed PrEPa
No. |
Persons with PrEP indicationsb
No. |
PrEP coveragec
% |
|
Alabama | 1,014 | 11,390 | 8.9 | 1,557 | 11,020 | 14.1 | 1,907 | 11,020 | 17.3 | 1,808 | 11,020 | 16.4 |
Alaska | 120 | 2,370 | 5.1 | 196 | 1,780 | 11.0 | 236 | 1,780 | 13.3 | 221 | 1,780 | 12.4 |
Arizona | 2,430 | 26,820 | 9.1 | 3,694 | 25,780 | 14.3 | 4,825 | 25,780 | 18.7 | 4,758 | 25,780 | 18.5 |
Arkansas | 445 | 4,840 | 9.2 | 632 | 5,130 | 12.3 | 794 | 5,130 | 15.5 | 811 | 5,130 | 15.8 |
California | 28,138 | 166,150 | 16.9 | 37,659 | 165,030 | 22.8 | 43,952 | 165,030 | 26.6 | 40,094 | 165,030 | 24.3 |
Colorado | 2,484 | 25,510 | 9.7 | 3,517 | 25,120 | 14.0 | 4,434 | 25,120 | 17.7 | 4,293 | 25,120 | 17.1 |
Connecticut | 1,636 | 10,970 | 14.9 | 2,349 | 9,560 | 24.6 | 2,805 | 9,560 | 29.3 | 2,306 | 9,560 | 24.1 |
Delaware | 287 | 4,860 | 5.9 | 423 | 4,400 | 9.6 | 488 | 4,400 | 11.1 | 421 | 4,400 | 9.6 |
District of Columbia | 4,018 | 13,710 | 29.3 | 5,212 | 12,950 | 40.2 | 6,077 | 12,950 | 46.9 | 5,684 | 12,950 | 43.9 |
Florida | 8,731 | 125,160 | 7.0 | 14,999 | 125,330 | 12.0 | 22,439 | 125,330 | 17.9 | 30,104 | 125,330 | 24.0 |
Georgia | 4,685 | 40,680 | 11.5 | 6,548 | 39,030 | 16.8 | 8,999 | 39,030 | 23.1 | 8,907 | 39,030 | 22.8 |
Hawaii | 460 | 5,440 | 8.5 | 698 | 4,360 | 16.0 | 857 | 4,360 | 19.7 | 811 | 4,360 | 18.6 |
Idaho | 272 | 3,860 | 7.0 | 380 | 4,790 | 7.9 | 487 | 4,790 | 10.2 | 579 | 4,790 | 12.1 |
Illinois | 10,605 | 54,620 | 19.4 | 14,334 | 55,860 | 25.7 | 17,190 | 55,860 | 30.8 | 14,883 | 55,860 | 26.6 |
Indiana | 1,577 | 21,640 | 7.3 | 2,251 | 22,170 | 10.2 | 3,097 | 22,170 | 14.0 | 2,849 | 22,170 | 12.9 |
Iowa | 803 | 4,280 | 18.8 | 1,186 | 4,760 | 24.9 | 1,473 | 4,760 | 30.9 | 1,359 | 4,760 | 28.6 |
Kansas | 556 | 5,570 | 10.0 | 751 | 5,060 | 14.8 | 944 | 5,060 | 18.7 | 859 | 5,060 | 17.0 |
Kentucky | 781 | 13,170 | 5.9 | 1,244 | 12,990 | 9.6 | 1,669 | 12,990 | 12.8 | 1,510 | 12,990 | 11.6 |
Louisiana | 2,458 | 15,490 | 15.9 | 3,574 | 15,920 | 22.4 | 4,221 | 15,920 | 26.5 | 3,390 | 15,920 | 21.3 |
Maine | 318 | 3,270 | 9.7 | 494 | 3,950 | 12.5 | 658 | 3,950 | 16.7 | 601 | 3,950 | 15.2 |
Maryland | 2,815 | 28,150 | 10.0 | 4,089 | 27,300 | 15.0 | 5,218 | 27,300 | 19.1 | 4,572 | 27,300 | 16.7 |
Massachusetts | 5,996 | 25,110 | 23.9 | 8,191 | 24,900 | 32.9 | 10,212 | 24,900 | 41.0 | 9,356 | 24,900 | 37.6 |
Michigan | 2,307 | 28,520 | 8.1 | 3,544 | 29,570 | 12.0 | 4,552 | 29,570 | 15.4 | 4,322 | 29,570 | 14.6 |
Minnesota | 2,581 | 23,770 | 10.9 | 3,552 | 21,720 | 16.4 | 4,317 | 21,720 | 19.9 | 3,881 | 21,720 | 17.9 |
Mississippi | 465 | 5,030 | 9.2 | 655 | 4,530 | 14.5 | 959 | 4,530 | 21.2 | 923 | 4,530 | 20.4 |
Missouri | 1,983 | 19,420 | 10.2 | 2,850 | 18,370 | 15.5 | 3,634 | 18,370 | 19.8 | 3,414 | 18,370 | 18.6 |
Montana | 123 | 2,750 | 4.5 | 185 | 2,290 | 8.1 | 272 | 2,290 | 11.9 | 272 | 2,290 | 11.9 |
Nebraska | 361 | 2,590 | 13.9 | 481 | 2,180 | 22.1 | 637 | 2,180 | 29.2 | 656 | 2,180 | 30.1 |
Nevada | 1,127 | 10,870 | 10.4 | 1,564 | 11,390 | 13.7 | 2,266 | 11,390 | 19.9 | 2,269 | 11,390 | 19.9 |
New Hampshire | 338 | 3,110 | 10.9 | 533 | 3,020 | 17.6 | 656 | 3,020 | 21.7 | 600 | 3,020 | 19.9 |
New Jersey | 3,457 | 28,590 | 12.1 | 4,768 | 25,280 | 18.9 | 5,955 | 25,280 | 23.6 | 5,489 | 25,280 | 21.7 |
New Mexico | 618 | 6,720 | 9.2 | 820 | 6,800 | 12.1 | 1,100 | 6,800 | 16.2 | 1,098 | 6,800 | 16.1 |
New York | 23,455 | 74,450 | 31.5 | 30,945 | 72,640 | 42.6 | 36,285 | 72,640 | 50.0 | 31,753 | 72,640 | 43.7 |
North Carolina | 2,736 | 33,110 | 8.3 | 4,158 | 32,490 | 12.8 | 5,671 | 32,490 | 17.5 | 5,713 | 32,490 | 17.6 |
North Dakota | 111 | 1,230 | 9.0 | 164 | 1,520 | 10.8 | 202 | 1,520 | 13.3 | 197 | 1,520 | 13.0 |
Ohio | 3,645 | 40,940 | 8.9 | 4,931 | 40,320 | 12.2 | 6,393 | 40,320 | 15.9 | 6,200 | 40,320 | 15.4 |
Oklahoma | 555 | 11,030 | 5.0 | 860 | 11,030 | 7.8 | 1,230 | 11,030 | 11.2 | 1,344 | 11,030 | 12.2 |
Oregon | 2,073 | 20,720 | 10.0 | 2,757 | 19,750 | 14.0 | 3,396 | 19,750 | 17.2 | 3,369 | 19,750 | 17.1 |
Pennsylvania | 6,326 | 36,160 | 17.5 | 8,800 | 36,490 | 24.1 | 10,546 | 36,490 | 28.9 | 9,828 | 36,490 | 26.9 |
Puerto Ricod | 120 | 9,700 | 1.2 | 245 | 9,700 | 2.5 | 348 | 9,700 | 3.6 | 353 | 9,700 | 3.6 |
Rhode Island | 657 | 4,360 | 15.1 | 897 | 3,880 | 23.1 | 1,133 | 3,880 | 29.2 | 1,086 | 3,880 | 28.0 |
South Carolina | 720 | 10,390 | 6.9 | 1,249 | 10,390 | 12.0 | 1,788 | 10,390 | 17.2 | 1,884 | 10,390 | 18.1 |
South Dakota | 60 | 1,000 | 6.0 | 104 | 910 | 11.4 | 151 | 910 | 16.6 | 127 | 910 | 14.0 |
Tennessee | 1,802 | 22,890 | 7.9 | 2,691 | 22,460 | 12.0 | 4,020 | 22,460 | 17.9 | 4,511 | 22,460 | 20.1 |
Texas | 11,750 | 123,400 | 9.5 | 18,050 | 123,790 | 14.6 | 23,898 | 123,790 | 19.3 | 24,867 | 123,790 | 20.1 |
Utah | 1,045 | 6,900 | 15.1 | 1,500 | 6,840 | 21.9 | 2,029 | 6,840 | 29.7 | 2,078 | 6,840 | 30.4 |
Vermont | 216 | 1,490 | 14.5 | 288 | 1,060 | 27.2 | 348 | 1,060 | 32.8 | 279 | 1,060 | 26.3 |
Virginia | 2,167 | 33,670 | 6.4 | 3,267 | 31,430 | 10.4 | 4,686 | 31,430 | 14.9 | 4,747 | 31,430 | 15.1 |
Washington | 6,952 | 35,600 | 19.5 | 8,986 | 40,050 | 22.4 | 10,864 | 40,050 | 27.1 | 10,567 | 40,050 | 26.4 |
West Virginia | 242 | 3,660 | 6.6 | 380 | 5,250 | 7.2 | 610 | 5,250 | 11.6 | 490 | 5,250 | 9.3 |
Wisconsin | 1,428 | 14,230 | 10.0 | 2,021 | 12,980 | 15.6 | 2,678 | 12,980 | 20.6 | 2,369 | 12,980 | 18.3 |
Wyoming | 50 | 1,410 | 3.5 | 80 | 890 | 9.0 | 99 | 890 | 11.1 | 86 | 890 | 9.7 |
Abbreviations: PrEP, preexposure propphylaxis; n/a, not available.
aEstimated using data from IQVIA pharmacy database reported through September 2020 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.
bEstimated using 2017 and 2018 data from National HIV Surveillance System, data from the National Health and Nutrition Examination Survey, and from 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, 2019 and 2020 PrEP coverage data.
cPrEP 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.
dNumber of persons with PrEP indications in Puerto Rico is not avaible for 2017. 2018 data are used for 2017.
Area of Residence | 2017 | 2018 | 2019 | 2020 (January-September) | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Persons prescribed PrEPa
No. |
Persons with PrEP indicationsb
No. |
PrEP coveragec
% |
Persons prescribed PrEPa
No. |
Persons with PrEP indicationsb
No. |
PrEP coveragec
% |
Persons prescribed PrEPa
No. |
Persons with PrEP indicationsb
No. |
PrEP coveragec
% |
Persons prescribed PrEPa
No. |
Persons with PrEP indicationsb
No. |
PrEP coveragec
% |
|
Arizona | ||||||||||||
Maricopa County | 1,943 | 23,540 | 8.3 | 2,968 | 22,720 | 13.1 | 3,725 | 22,720 | 16.4 | 3,678 | 22,720 | 16.2 |
California | ||||||||||||
Alameda County | 1,464 | 7,260 | 20.2 | 1,929 | 8,930 | 21.6 | 2,254 | 8,930 | 25.2 | 1,921 | 8,930 | 21.5 |
Los Angeles County | 9,834 | 64,180 | 15.3 | 12,891 | 67,450 | 19.1 | 14,679 | 67,450 | 21.8 | 14,079 | 67,450 | 20.9 |
Orange County | 1,084 | 9,990 | 10.9 | 1,640 | 10,510 | 15.6 | 2,123 | 10,510 | 20.2 | 2,041 | 10,510 | 19.4 |
Riverside County | 1,022 | 11,040 | 9.3 | 1,454 | 11,080 | 13.1 | 1,861 | 11,080 | 16.8 | 1,804 | 11,080 | 16.3 |
Sacramento County | 587 | 5,460 | 10.8 | 797 | 5,920 | 13.5 | 987 | 5,920 | 16.7 | 891 | 5,920 | 15.1 |
San Bernardino County | 438 | 12,450 | 3.5 | 631 | 11,890 | 5.3 | 805 | 11,890 | 6.8 | 744 | 11,890 | 6.3 |
San Diego County | 2,477 | 19,420 | 12.8 | 3,495 | 14,500 | 24.1 | 3,962 | 14,500 | 27.3 | 3,614 | 14,500 | 24.9 |
San Francisco County | 6,597 | 11,330 | 58.2 | 8,176 | 10,840 | 75.4 | 9,170 | 10,840 | 84.6 | 7,828 | 10,840 | 72.2 |
District of Columbia | 4,018 | 13,710 | 29.3 | 5,212 | 12,950 | 40.2 | 6,077 | 12,950 | 46.9 | 5,684 | 12,950 | 43.9 |
Florida | ||||||||||||
Broward County | 2,011 | 20,030 | 10.0 | 2,913 | 20,470 | 14.2 | 3,881 | 20,470 | 19.0 | 5,720 | 20,470 | 27.9 |
Duval County | 256 | 9,250 | 2.8 | 382 | 8,970 | 4.3 | 524 | 8,970 | 5.8 | 645 | 8,970 | 7.2 |
Hillsborough County | 648 | 12,670 | 5.1 | 1,152 | 12,910 | 8.9 | 1,495 | 12,910 | 11.6 | 1,642 | 12,910 | 12.7 |
Miami-Dade County | 2,018 | 22,190 | 9.1 | 3,891 | 21,760 | 17.9 | 6,668 | 21,760 | 30.6 | 8,869 | 21,760 | 40.8 |
Orange County | 1,043 | 16,500 | 6.3 | 1,895 | 15,310 | 12.4 | 2,845 | 15,310 | 18.6 | 3,433 | 15,310 | 22.4 |
Palm Beach County | 388 | 7,620 | 5.1 | 594 | 9,170 | 6.5 | 915 | 9,170 | 10.0 | 2,435 | 9,170 | 26.6 |
Pinellas County | 470 | 10,470 | 4.5 | 800 | 9,530 | 8.4 | 1,133 | 9,530 | 11.9 | 1,064 | 9,530 | 11.2 |
Georgia | ||||||||||||
Cobb County | 277 | 3,570 | 7.8 | 395 | 3,070 | 12.9 | 584 | 3,070 | 19.0 | 592 | 3,070 | 19.3 |
DeKalb County | 916 | 6,370 | 14.4 | 1,229 | 6,290 | 19.5 | 1,616 | 6,290 | 25.7 | 1,580 | 6,290 | 25.1 |
Fulton County | 2,018 | 12,060 | 16.7 | 2,667 | 13,120 | 20.3 | 3,403 | 13,120 | 25.9 | 3,297 | 13,120 | 25.1 |
Gwinnett County | 320 | 3,390 | 9.4 | 468 | 3,240 | 14.4 | 714 | 3,240 | 22.0 | 724 | 3,240 | 22.3 |
Illinois | ||||||||||||
Cook County | 8,905 | 38,270 | 23.3 | 11,812 | 39,060 | 30.2 | 14,027 | 39,060 | 35.9 | 12,069 | 39,060 | 30.9 |
Indiana | ||||||||||||
Marion County | 692 | 8,490 | 8.2 | 880 | 9,150 | 9.6 | 1,171 | 9,150 | 12.8 | 1,066 | 9,150 | 11.7 |
Louisiana | ||||||||||||
East Baton Rouge Parish | 225 | 1,290 | 17.4 | 452 | 1,810 | 25.0 | 514 | 1,810 | 28.4 | 488 | 1,810 | 27.0 |
Orleans Parish | 1,061 | 5,230 | 20.3 | 1,387 | 4,590 | 30.2 | 1,669 | 4,590 | 36.4 | 1,255 | 4,590 | 27.3 |
Maryland | ||||||||||||
Baltimore City | 475 | 6,000 | 7.9 | 666 | 6,330 | 10.5 | 930 | 6,330 | 14.7 | 813 | 6,330 | 12.8 |
Montgomery County | 567 | 5,790 | 9.8 | 819 | 5,770 | 14.2 | 982 | 5,770 | 17.0 | 880 | 5,770 | 15.3 |
Prince George’s County | 460 | 3,830 | 12.0 | 662 | 4,040 | 16.4 | 853 | 4,040 | 21.1 | 759 | 4,040 | 18.8 |
Massachusetts | ||||||||||||
Suffolk County | 1,944 | 7,050 | 27.6 | 2,532 | 6,520 | 38.8 | 3,181 | 6,520 | 48.8 | 2,969 | 6,520 | 45.5 |
Michigan | ||||||||||||
Wayne County | 695 | 9,470 | 7.3 | 1,045 | 9,270 | 11.3 | 1,293 | 9,270 | 13.9 | 1,143 | 9,270 | 12.3 |
Nevada | ||||||||||||
Clark County | 958 | 8,790 | 10.9 | 1,320 | 11,670 | 11.3 | 1,944 | 11,670 | 16.7 | 1,921 | 11,670 | 16.5 |
New Jersey | ||||||||||||
Essex County | 406 | 5,190 | 7.8 | 600 | 4,090 | 14.7 | 715 | 4,090 | 17.5 | 648 | 4,090 | 15.8 |
Hudson County | 675 | 4,720 | 14.3 | 896 | 4,650 | 19.3 | 1,105 | 4,650 | 23.8 | 1,006 | 4,650 | 21.6 |
New York | ||||||||||||
Bronx County | 1,335 | 6,690 | 20.0 | 2,045 | 5,570 | 36.7 | 2,305 | 5,570 | 41.4 | 1,848 | 5,570 | 33.2 |
Kings County | 4,867 | 15,300 | 31.8 | 6,408 | 15,650 | 40.9 | 7,645 | 15,650 | 48.8 | 6,714 | 15,650 | 42.9 |
New York County | 9,911 | 14,790 | 67.0 | 12,603 | 15,540 | 81.1 | 14,508 | 15,540 | 93.4 | 12,940 | 15,540 | 83.3 |
Queens County | 2,634 | 8,740 | 30.1 | 3,412 | 9,230 | 37.0 | 4,020 | 9,230 | 43.6 | 3,562 | 9,230 | 38.6 |
North Carolina | ||||||||||||
Mecklenburg County | 692 | 9,430 | 7.3 | 1,001 | 8,450 | 11.8 | 1,420 | 8,450 | 16.8 | 1,498 | 8,450 | 17.7 |
Ohio | ||||||||||||
Cuyahoga County | 612 | 8,200 | 7.5 | 832 | 7,520 | 11.1 | 996 | 7,520 | 13.2 | 881 | 7,520 | 11.7 |
Franklin County | 1,360 | 13,660 | 10.0 | 1,679 | 11,620 | 14.4 | 2,126 | 11,620 | 18.3 | 2,129 | 11,620 | 18.3 |
Hamilton County | 280 | 6,430 | 4.4 | 449 | 7,720 | 5.8 | 570 | 7,720 | 7.4 | 567 | 7,720 | 7.3 |
Pennsylvania | ||||||||||||
Philadelphia County | 2,475 | 8,550 | 28.9 | 3,306 | 9,840 | 33.6 | 3,781 | 9,840 | 38.4 | 3,224 | 9,840 | 32.8 |
Puerto Rico | ||||||||||||
San Juan Municipiod | n/a | 2,190 | n/a | n/a | 2,190 | n/a | n/a | 2,190 | n/a | n/a | 2,190 | n/a |
Tennessee | ||||||||||||
Shelby County | 319 | 7,590 | 4.2 | 480 | 6,450 | 7.4 | 656 | 6,450 | 10.2 | 691 | 6,450 | 10.7 |
Texas | ||||||||||||
Bexar County | 676 | 13,010 | 5.2 | 1,140 | 11,920 | 9.6 | 1,529 | 11,920 | 12.8 | 1,562 | 11,920 | 13.1 |
Dallas County | 2,366 | 22,000 | 10.8 | 3,354 | 28,670 | 11.7 | 4,325 | 28,670 | 15.1 | 4,685 | 28,670 | 16.3 |
Harris County | 2,602 | 39,780 | 6.5 | 3,971 | 40,670 | 9.8 | 5,055 | 40,670 | 12.4 | 5,409 | 40,670 | 13.3 |
Tarrant County | 698 | 11,550 | 6.0 | 1,197 | 11,340 | 10.6 | 1,513 | 11,340 | 13.3 | 1,486 | 11,340 | 13.1 |
Travis County | 2,244 | 10,810 | 20.8 | 3,450 | 11,590 | 29.8 | 4,654 | 11,590 | 40.2 | 4,622 | 11,590 | 39.9 |
Washington | ||||||||||||
King County | 5,072 | 13,690 | 37.0 | 6,360 | 17,890 | 35.6 | 7,669 | 17,890 | 42.9 | 7,520 | 17,890 | 42.0 |
Abbreviations: PrEP, preexposure propphylaxis; n/a, not available.
aEstimated using data from IQVIA pharmacy database reported through September 2020 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.
bEstimated using 2017 and 2018 data from National HIV Surveillance System, data from the National Health and Nutrition Examination Survey, and from 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, 2019 and 2020 PrEP coverage data.
cPrEP 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.
dNumber of persons with PrEP indications in San Juan Municipio is not available in 2017. 2018 data are used for 2017.
Counties | Territories | States |
---|---|---|
Arizona | Puerto Ricoa | Alabama |
Maricopa County | San Juan Municipioa | Arkansas |
California | Kentuckya | |
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 Jerseyb | ||
Essex Countyb | ||
Hudson Countyb | ||
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 |
aLinkage to care and viral suppression data are not provided for states and associated counties that have incomplete reporting of laboratory data to CDC: Kansas, Kentucky, Pennsylvania (excuding Philadelphia County), Puerto Rico, and Vermont.
bLinkage to care and viral suppression data are not provided for states and associated counties that do not have laws requiring reporting of all CD4 and viral loads laboratory results: New Jersey.