Data Methods – City-Level

Data Methods – City-Level

About AIDSVu

AIDSVu empowers people to end the HIV epidemic in their communities and is a leading, free resource for visualizing the HIV epidemic in the United States. The platform visualizes data, presents insights, and catalyzes research to drive public health action across the U.S. and seeks to engage and provide users with a highly interactive and easy way to access HIV surveillance data at enhanced geographic levels. AIDSVu currently maps HIV prevalence and new diagnoses data at the state, county, and city level, including ZIP Code level for all cities and community area/ward and census tract-level for select cities. At the state and county level, we also map data on PrEP use and PrEP-to-Need Ratio (PNR), and at the state level and ZIP Code level, we map late HIV diagnoses, linkage to HIV care, receipt of HIV care, and viral HIV suppression data. HIV mortality data and HIV testing data are also mapped at the state level. All maps are available to be viewed by demographic breakdowns and can be overlaid with PrEP providers and HIV testing and treatment service locations to enable examination of these resources relative to HIV prevalence and diagnosis data at different geographic levels.

HIV Awareness Day infographics, as well as city, county, state, regional, and national profile pages, provide supplementary visualizations and information, and complement the data presented in the maps and existing surveillance reports. Other public data, such as Census data on social determinants of health (i.e. poverty, education, health insurance, etc.) can be viewed as tandem-tethered interactive maps and provide context considering social determinants of health. Downloadable resources include map images, infographic panels that can be used for presentations or other materials, and downloadable datasets. Below you can learn more about the data methods and sources for the ZIP Code, census tract, and community area/ward data on AIDSVu. Click here for data methods and sources for state or county data.

City Data Available

City	2018 Data	2019 Data	2020 Data	HIV Continuum Data	City Profile	Data for Download^±
Atlanta, GA			X	X	X
Austin, TX			X	X	X	X
Baltimore, MD		X		X	X
Baton Rouge, LA			X	X	X	X
Birmingham, AL			X	X	X
Boston, MA	X				X
Bridgeport, CT			X	X	X	X
Charleston, SC			X	X	X	X
Charlotte, NC			X	X	X	X
Chicago, IL			X	X	X	X
Cincinnati, OH			X		X
Cleveland, OH			X		X
Columbia, SC			X	X	X	X
Columbus, OH			X		X
Dallas, TX			X	X	X	X
Denver, CO			X	X	X	X
Detroit, MI			X	X	X	X
Fort Lauderdale, FL			X	X	X	X
Fort Worth, TX			X	X	X	X
Hampton Roads, VA			X	X	X	X
Hartford, CT			X	X	X	X
Houston, TX			X	X	X	X
Jackson, MS		X		X	X	X
Jacksonville, FL			X	X	X	X
Jersey City			X		X
Las Vegas, NV			X	X	X	X
Los Angeles, CA			X	X		X
Memphis, TN			X		X
Miami, FL			X	X	X	X
Milwaukee, WI			X	X	X	X
Minneapolis, MN			X		X
Mobile, AL			X	X	X
Montgomery, AL			X	X	X
Nashville, TN			X		X
New Haven, CT			X	X	X	X
New Orleans, LA			X	X	X	X
New York City, NY			X	X	X
Newark, NJ			X		X
Oakland & Alameda, CA	X				X
Orange County			X	X	X	X
Orlando, FL			X	X	X	X
Philadelphia, PA			X	X	X	X
Phoenix, AZ			X	X	X	X
Providence, RI			X	X	X
Raleigh, NC			X	X	X	X
Richmond, VA			X	X	X	X
San Antonio, TX			X	X	X	X
San Diego, CA	X
San Francisco, CA			X		X
San Juan, PR			X		X	X
Seattle, WA			X	X	X
Tampa, FL			X	X	X	X
Washington, DC			X	X	X
West Palm Beach, FL			X	X	X	X

±Use of AIDSVu City map and/ or profile data from cities who do not have downloadable data sets is only permitted through exclusive permission from the State or Local Health Department. If you are interested in accessing data from one of these cities please contact us or the health department directly.

Definitions

Prevalence Data: The data reflect persons aged 13 years and older living with HIV infection or persons living with HIV infection ever classified as stage 3 HIV (AIDS) at the end of a given year (i.e. 2020). The map title “Persons Living with HIV” has been used to encompass persons living with HIV infection and persons living with HIV infection ever classified as stage 3 HIV (AIDS). Cases are based on most recent known address. Data are displayed as cases and rates. For the rate calculation, the numerator is the number of individuals aged 13 years and older living with HIV infection or individuals living with HIV infection ever classified as stage 3 HIV (AIDS) at the end of a given year. The denominator is the 2010 census population aged 13 years and older.

New HIV Diagnoses Data: For the maps, the data reflect persons aged 13 years and older newly diagnosed with HIV infection, defined as a diagnosis of HIV infection regardless of the stage of disease (stage 0, 1, 2, 3 [AIDS], or unknown) and refers to all persons with a diagnosis of HIV infection during a given five-year time period (i.e. 2016-2020). The map title “Persons Newly Diagnosed with HIV” has been used to encompass persons newly diagnosed with HIV and/or AIDS. Cases are based on residence at time of diagnoses. Data are displayed as cases and five-year risk. For the risk calculation, the numerator is the number of persons aged 13 years and older newly diagnosed in a given five-year time period. The denominator is the 2010 census population aged 13 years and older. For the profiles, the data reflect persons aged 13 years and older newly diagnosed with HIV infection, defined as a diagnosis of HIV infection regardless of the stage of disease (stage 0, 1, 2, 3 [AIDS], or unknown) and refers to all persons with a diagnosis of HIV infection during a given year time period (i.e. 2020). Cases are based on residence at time of diagnoses. Data are displayed as cases and one-year risk. For the risk calculation, the numerator is the number of persons aged 13 years and older newly diagnosed in a given year time period. The denominator is the 2010 census population aged 13 years and older.

Late HIV Diagnoses Data: For the maps, the data reflect persons aged 13 years and older diagnosed with HIV infection who were diagnosed with stage 3 HIV (AIDS) within 3 months of initial HIV diagnoses during a given five-year time period (i.e. 2016-2020). Cases are based on residence at time of diagnoses. Data are displayed as cases and percentages. For the percent calculation, the numerator is the number of individuals aged 13 years and older who were diagnosed with HIV during a given five-year time period and were diagnosed with stage 3 HIV (AIDS) within 3 months of initial HIV diagnoses. The denominator is the number of individuals aged 13 years and older who were newly diagnosed with HIV in that given five-year time period. For the profiles, the data reflect persons aged 13 years and older diagnosed with HIV infection who were diagnosed with stage 3 HIV (AIDS) within 3 months of initial HIV diagnoses during a given year (i.e. 2020). Cases are based on residence at time of diagnoses. Data are displayed as cases and percentages. For the percent calculation, the numerator is the number of individuals aged 13 years and older who were diagnosed with HIV during a given year time period and were diagnosed with stage 3 HIV (AIDS) within 3 months of initial HIV diagnoses. The denominator is the number of individuals aged 13 years and older who were newly diagnosed with HIV in that given year time period.

Linkage to HIV Care Data: For the maps, the data reflect persons aged 13 years and older linked to HIV care (defined as a CD4 or HIV viral load count) within 1 month of their diagnosis, including same day linkages, during a given five-year time period (i.e. 2016-2020). Cases are based on residence at time of diagnoses. Data are displayed as cases and percentages. For the percent calculation, the numerator is the number of individuals aged 13 years and older diagnosed with HIV during a given five-year time period who had a CD4 or HIV viral load count within 1 month of their initial HIV diagnoses. The denominator is the number of individuals aged 13 years and older who were newly diagnosed with HIV in that given five-year time period. For the profiles, the data reflect persons aged 13 years and older linked to HIV care (defined as a CD4 or HIV viral load count) within 1 month of their diagnosis, including same day linkages, during a given year (i.e. 2020). Cases are based on residence at time of diagnoses. Data are displayed as cases and percentages. For the percent calculation, the numerator is the number of individuals aged 13 years and older diagnosed with HIV during a given year time period who had a CD4 or HIV viral load count within 1 month of their initial HIV diagnoses. The denominator is the number of individuals aged 13 years and older who were newly diagnosed with HIV in that given year time period.

Receipt of HIV Care Data: The data reflect persons aged 13 years and older living with HIV who were engaged in care in a given year (i.e. 2020) (defined as at least one CD4 or HIV viral load count in that given year). Cases are based on most recent known address. Data are displayed as cases and percentages. For the percent calculation, the numerator is the number of individuals aged 13 years and older living with diagnosed HIV in a given year (diagnosed as of year-end the previous year (i.e. 2019) and alive at the end of the year (i.e. 2020)), who had at least one CD4 count or HIV viral load test in that year. The denominator is the number of individuals aged 13 years and older living with diagnosed HIV in a given year (excluding those newly diagnosed in that year) who had a least one previous CD4 or viral load test.

HIV Viral Suppression Data: The data reflect persons aged 13 years and older living with HIV whose most recently reported HIV viral load was less than 200 copies/mL in a given year (i.e. 2020). Cases are based on most recent known address. Data are displayed as cases and percentages. For the percent calculation, the numerator is the number of individuals aged 13 years and older living with HIV in a given year (diagnosed as of year-end the previous year (i.e. 2019) and alive at the end of the year (i.e. 2020)), whose most recently reported HIV viral load count was <200 copies/mL in that year. The denominator is the number of individuals aged 13 years and older living with diagnosed HIV in a given year (excluding those newly diagnosed in that year).

ZIP Code Data

To permit the display of HIV prevalence and new HIV diagnoses data by ZIP Code, AIDSVu obtained a data release agreement with health departments overseeing HIV surveillance in the following jurisdictions: Atlanta, Austin, Baltimore, Baton Rouge, Birmingham, Boston, Bridgeport, Charleston, Charlotte, Chicago, Cincinnati, Cleveland, Columbia, Columbus, Dallas, Denver, Detroit, Fort Lauderdale, Fort Worth, Hampton Roads, Hartford, Houston, Jackson, Jacksonville, Jersey City, Los Angeles, Las Vegas, Memphis, Miami, Milwaukee, Minneapolis/St. Paul Metro Region, Mobile, Montgomery, Nashville, Newark, New Haven, New Orleans, New York City, Oakland and Alameda, Orlando, Philadelphia, Phoenix, Providence, Raleigh, Richmond, San Antonio, San Diego, San Francisco, San Juan, Seattle, Tampa, Washington, DC, and West Palm Beach. Data were obtained directly from the state or local public health departments rather than from the U.S. Centers for Disease Control and Prevention (CDC) because CDC does not collect street addresses for reported cases. ZIP Code-level data are not directly comparable to the state- and county-level HIV data displayed on AIDSVu because the data are not obtained directly from CDC.

Each city, county, or state public health department defined the geographic area (e.g., ZIP Codes) in their jurisdiction for which they desired to display data on AIDSVu. ZIP Code-level HIV surveillance data reflect the reported most recent known address for persons living with HIV in the defined geographic area. One-year prevalence rates and case counts and one-year receipt of HIV care and HIV viral suppression case counts and percentages were reported from January 1, 2020 to December 31, 2020. Five-year new HIV diagnoses case counts and risk and late HIV diagnoses and linkage to HIV care case counts and percentages were reported from January 1, 2016 to December 31, 2020. For details regarding each jurisdiction’s assignment of ZIP Codes to cases missing an address, or to cases where the ZIP Code has changed because of the redrawing of ZIP Code boundaries, see the Jurisdiction-Specific Data Caveats table below. Denominators used to calculate rates for ZIP Codes were obtained from the U.S. Census Bureau’s 2010 census of ZIP Code Tabulation Areas (ZCTAs). Additional information on ZCTAs can be found here. The five-year risks for HIV new diagnoses were calculated using HIV new diagnoses between 2016-2020 as the numerator and the 2010 census population as the denominator. Rates of persons living with HIV and five-year risk for HIV diagnoses were calculated per 100,000 population to permit data standardization and comparison.

Data Caveats

Due to time constraints within city and state health departments some cities were unable to provide 2020 HIV data, so those cities are displaying their 2018 or 2019 data at this time. The updated data will be posted on AIDSVu for the remaining cities at a later date.

Each jurisdiction chooses whether or not to map stratified HIV prevalence or new diagnoses data, map the HIV Continuum indicators (late diagnoses, linkage to care, receipt of care, and viral suppression), display a city profile, and allow their data to be downloaded. This is why the data available may differ among cities.

The HIV Continuum of Care indicators – HIV new diagnoses, late diagnoses, linkage to care, receipt of care, and viral suppression – are based on the diagnosed Continuum of Care. Only people aged 13 years or older who have been diagnosed with HIV are included. AIDSVu’s HIV Continuum of Care indicators are slightly different then the CDC’s definitions. While AIDSVu is guided by a decision-making process that included the CDC’s input, the data are separate from the CDC. Due to different restrictions and issues concerning small numbers, the definitions AIDSVu uses may slightly differ from the CDC’s definitions for the same indicators.

Data Stratification

AIDSVu allows viewers to look at ZIP Code-level HIV rates and case counts of prevalence data, five-year combined cases and five-year risk of new HIV diagnoses data, percentages and case counts of late HIV diagnoses, linkage to HIV care, receipt of HIV care, and HIV viral suppression at the overall geographic level, and by race/ethnicity, sex, and age groups. The Black, White, and Asian/Pacific Islander race groups are non-Hispanic, and the Hispanic/Latinx ethnicity is inclusive of all races. Sex was defined as “sex at birth.” Cases were assigned to age groups based on age at the end of 2020 for prevalence, receipt of care, and viral suppression, and age at time of initial diagnosis for new HIV diagnoses, late HIV diagnoses, and linkage to HIV care. Caution should be exercised when viewing and interpreting the ZIP Code maps because the scales change across the different demographic breakdowns.

Corrections Warning

For ZIP Codes that house correctional institutions, caution should be exercised when interpreting the data as these statistics are inclusive of institutional populations and their inclusion may artificially inflate the rate, risk, percent, and/or case count of the population of the ZIP Code outside of the institution. To determine if a specific ZIP Code meets this criterion, place the mouse cursor over the area and, in the balloon that appears, there will be a message noting that a rate meets this condition, if applicable. Some cities have chosen to include the correctional facility warning for all of their ZIP Codes and others include incarcerated persons based on their last known or “usual” residence to avoid artificially inflating the rate in ZIP Codes that include these facilities—see Jurisdiction-Specific Data Caveats.

Data Suppression and Rate Stability

To protect the confidentiality of persons living with HIV, AIDSVu does not display rates, risks, percentages, or case counts when the numerator (number of persons living with HIV) is less than five and/or the denominator (number of people in the ZIP Code in that population group) is less than 500. ZIP Codes are noted by the color white when one or both of these conditions are met (see footnote below map scale). Philadelphia and Seattle are the only exceptions where the data are suppressed when the numerator is less than six. As is standard in the display of health statistics, rates generated from a numerator less than 12 are considered unstable and should be interpreted with caution. Because rates are not displayed when the numerator is less than five, the “unstable rate” indicator will only display when the numerator is five or greater and less than 12.

Ranges/Legend Values

Range intervals were initially developed using rounded deciles in SAS analytic software (SAS Institute, Cary, NC). Set cut points are re-evaluated annually with our technical advisory committee. When previous year deciles were not available, rounded current year deciles were used for data new to this release. In order to illustrate the variation in the data, ranges were developed specific to each grouping (i.e., overall, by race/ethnicity, by sex, and by age group). Thus, a total of eight sets of map scales exist for prevalence (rate and count, both by overall/race/sex/age), a total of eight sets of map scales exist for new HIV diagnoses (five-year risk and count by overall/race/sex/age), and a total of eight sets of map scales exist each for late HIV diagnoses, linkage to HIV care, receipt of HIV care, and HIV viral suppression (percent and count by overall/race/sex/age). For each scale calculation, the original deciles used to create the rounded set cut points were determined by combining the individual rates or counts for each ZIP Code and grouping into 10 equal-size groups.

Social Determinants of Health

Social determinants of health are displayed on a secondary map and their associated scales were developed using the same procedure described above. The quartiles from previous years were used to develop the rounded set cut points and are re-evaluated annually with our technical advisory committee. Therefore, there are five additional ranges for these data (i.e., five social determinants for overall census tract level). Poverty (percent of population living in poverty), high school education (percent of population aged 25 or older with a high school degree or equivalent), median household income, severe housing burden cost (percent of households [both renters and owners] who spend over 50% of their income on housing) and income inequality (measured by the Gini Coefficient, a measure of income inequality where 0 reflects complete equality and one reflects complete inequality) are available at the census tract level. The U.S. Census Bureau does not publish data for all census tracts; these areas are colored white.

Jurisdiction-Specific Data Caveats: ZIP Code Data

Jurisdiction	Data Caveats
Atlanta, GA	Prevalence Data: Data represent persons living with HIV in ZIP Codes that lie within the Atlanta MSA at the end of 2020 and who were entered as of 12/31/2021. Cases are based on most recent known address. Cases missing current ZIP Code are excluded from the analysis. Data have not been adjusted for reporting delays. A correctional warning has been provided for every ZIP Code. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV in ZIP Codes that lie within the Atlanta MSA between 2016 and 2020 and who were entered as of 12/31/2021 Cases are based on residence at diagnosis. Cases missing ZIP Code at diagnosis are excluded from the analysis. Data have not been adjusted for reporting delays. A correctional warning has been provided for every ZIP Code. Continuum Data: Data represent persons living in ZIP Codes that lie within the Atlanta MSA and who were entered as of 12/31/2021. Cases missing current ZIP Code are excluded from the analysis. Data have not been adjusted for reporting delays. A correctional warning has been provided for every ZIP Code.
Austin, TX	Prevalence Data: Data represent persons living with HIV in ZIP Codes in the Austin MSA at the end of 2020 and who were reported as of 3/3/2022. Cases are based on most recent known address. Data have not been adjusted for reporting delays. A correctional warning has been provided for every ZIP Code. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV in ZIP Codes in Austin MSA between 2016 and 2020 and who were reported as of 3/3/2022. Cases are based on residence at diagnosis. Data have not been adjusted for reporting delays. A correctional warning has been provided for every ZIP Code. Continuum Data: Data in the Austin MSA were reported as of 3/3/2022for late diagnoses, linkage to care, receipt of care, and viral suppression. Data have not been adjusted for reporting delays. A correctional warning has been provided for every ZIP Code.
Baltimore, MD	Prevalence Data: Data represent persons living with HIV in Anne Arundel, Baltimore, Carroll, Harford, Howard, and Queen Anne’s Counties and the independent city of Baltimore at the end of 2019 and who were reported as of 12/31/2020. Cases are based on most recent known address. Data have not been adjusted for reporting delays. A correctional warning has been provided for every ZIP Code. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV in Anne Arundel, Baltimore, Carroll, Harford, Howard, and Queen Anne’s Counties and the independent city of Baltimore between 2015 and 2019 and who were reported as of 12/31/2020. Cases are based on residence at diagnosis. Data have not been adjusted for reporting delays. A correctional warning has been provided for every ZIP Code. Continuum Data: Data reflect cases in Ann Arundel, Baltimore, Carroll, Hartford, Howard, and Queen Anne’s Counties and the independent city of Baltimore that were reported as of 12/31/2020 for late diagnoses, linkage to care, receipt of care, and viral suppression. Data have not been adjusted for reporting delays. A correctional warning has been provided for every ZIP Code.
Baton Rouge, LA	Prevalence Data: Data represent persons living with HIV in Baton Rouge at the end of 2020 and who were reported as of 03/11/2022. Cases are based on most recent known address. Data have not been adjusted for reporting delays. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV in Baton Rouge between 2016 and 2020 and who were reported as of 03/11/2022. Cases are based on residence at diagnosis. Data have not been adjusted for reporting delays. Continuum Data: Data reflect cases in Baton Rouge that were reported as of 03/11/2022 for late diagnoses, linkage to care, receipt of care, and viral suppression. Data have not been adjusted for reporting delays.
Birmingham, AL	Prevalence Data: Data represent persons living with diagnosed HIV in Bibb, Blount, Chilton, Jefferson, Shelby, St. Clair, and Walker Counties at the end of 2020 and who were entered as of 03/01/2021. Cases are based on most recent known address. Data have not been adjusted for reporting delays. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV in Bibb, Blount, Chilton, Jefferson, Shelby, St. Clair, and Walker Counties between 2015 and 2020 and who were entered as of 03/01/2021. Cases are based on residence at diagnosis. Data have not been adjusted for reporting delays. Continuum Data: Data reflect cases in Bibb, Blount, Chilton, Jefferson, Shelby, St. Clair, and Walker Counties reported as of 03/01/2021 for late diagnoses, linkage to care, receipt of care, and viral suppression. Data have not been adjusted for reporting delays.
Bridgeport-Stamford-Norwalk MSA, CT	Prevalence Data: Data represent persons living with HIV living in Fairfield County based on last known residence (including correctional facilities), that had a valid zip code at the end of 2020 and who were reported as of 12/22/2021. (Cases missing a ZIP Code at last known residence were omitted). Data have not been adjusted for reporting delays. Please note: data for 2020 should be interpreted with caution due to the impact of the COVID-19 pandemic on access to HIV testing & care-related services New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV as residents of Fairfield County between 2016 and 2020 and were reported as of 12/22/2021. Cases are based on residence at diagnosis for people with a valid ZIP Code in Fairfield County. Data have not been adjusted for reporting delays. Please note: data for 2020 should be interpreted with caution due to the impact of the COVID-19 pandemic on access to HIV testing & care-related services Continuum Data: Data reflect cases in Fairfield County reported as of 12/22/2021. Data have not been adjusted for reporting delays. Please note: data for 2020 should be interpreted with caution due to the impact of the COVID-19 pandemic on access to HIV testing & care-related services
Charleston, SC	Prevalence Data: Data represent persons living with HIV in ¬¬¬¬¬Charleston, SC at the end of 2020 and who were reported as of 03/01/2021. People with unknown transmission category and cases missing ZIP Code were excluded from analysis. Cases are based on most recent known address. Data have not been adjusted for reporting delays. New HIV diagnoses Data: Data represent persons newly diagnosed with HIV in Charleston, SC between 2016 and 2020 and who were reported as of 03/01/2021. People with unknown transmission category were excluded from analysis. Cases are based on residence at diagnosis. Data have not been adjusted for reporting delays. Continuum Data: Data represent persons in Charleston, SC and entered as of 03/01/2021. People with unknown transmission category were excluded from analysis. Data have not been adjusted for reporting delays.
Charlotte (Mecklenburg County), NC	Prevalence Data: Data represent persons living with HIV in Mecklenburg County (not just the city of Charlotte) at the end of 2020 and who were reported through 03/14/2022. Cases are based on most recent known address. ZIP Codes that extended outside of Mecklenburg County are excluded unless more than 50% of the ZIP Code is within Mecklenburg County. Cases with no ZIP Codes are excluded from analysis. Data have not been adjusted for reporting delays. A correctional warning has been provided for all ZIP Codes. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV in Mecklenburg County (not just the city of Charlotte) between 2016 and 2020 and who were reported as of 03/14/2022. Cases are based on residence at diagnosis. ZIP Codes that extended outside of Mecklenburg County are excluded unless more than 50% of the ZIP Code is within Mecklenburg County. Cases with no ZIP Codes are excluded from analysis. Data have not been adjusted for reporting delays. A correctional warning has been provided for all ZIP Codes. Continuum Data: Data represent persons in Mecklenburg County who were reported as of 03/14/2022. ZIP Codes that extend outside of Mecklenburg County are excluded unless more than 50% of the ZIP Code is within Mecklenburg County. Cases with no ZIP Codes are excluded from analysis. Data have not been adjusted for reporting delays. A correction warning has been provided for all ZIP Codes.
Chicago, IL	Prevalence Data: Data represent persons living with HIV in the City of Chicago at the end of 2020 and who were reported as of 02/21/2022. Cases are based on most recent current reported residence. Homeless cases and those cases missing an address were omitted. Cases with an address at diagnosis and no ZIP Code data were geocoded to obtain ZIP Code information. Data have not been adjusted for reporting delays. A correctional warning has been provided for ZIP Codes 60605 and 60608. Due to ongoing reporting and case ascertainment activities case data continually changes over time. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV in the City of Chicago between 2016 and 2020 and who were entered as of 02/21/2022. Cases are based on residence at diagnosis. Homeless cases and those cases missing an address at diagnosis were omitted. Cases with an address at diagnosis and no ZIP Code data were geocoded to obtain ZIP Code information. Data have not been adjusted for reporting delays. A correctional warning has been provided for ZIP Codes 60605 and 60608. Due to ongoing reporting and case ascertainment activities case data continually changes over time. Continuum Data: Data reflect cases in the City of Chicago reported as of 02/21/2022 for late diagnoses, linkage to care, receipt of care, and viral suppression. Data have not been adjusted for reporting delays. A correctional warning has been provided for ZIP Codes 60605 and 60608. Due to ongoing reporting and case ascertainment activities case data continually changes over time.
Cincinnati (Hamilton County), OH	Prevalence Data: Data represent persons living with HIV in Hamilton County at the end of 2020 and who were entered as of 03/01/2022. Cases are based on most recent known address. Data have not been adjusted for reporting delays. Cases from department of corrections and federal correctional institutions are included in the analysis. Values may be inflated where correctional institutions are located. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV in Hamilton County between 2016 and 2020 and who were entered as of 03/01/2022. Cases are based on residence at diagnosis. Data have not been adjusted for reporting delays. Cases from department of corrections and federal correctional institutions are included in the analysis. Values may be inflated where correctional institutions are located. Please note data from 2020 reflects the impact of the COVID-19 pandemic.
Cleveland (Cuyahoga County), OH	Prevalence Data: Data represent persons living with HIV in Cuyahoga County at the end of 2020 and who were entered as of 03/01/2022. Cases are based on most recent known address. Data have not been adjusted for reporting delays. Cases from department of corrections and federal correctional institutions are included in the analysis. Values may be inflated where correctional institutions are located. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV in Cuyahoga County between 2016 and 2020 and who were entered as of 03/01/2022. Cases are based on residence at diagnosis. Data have not been adjusted for reporting delays. Cases from department of corrections and federal correctional institutions are included in the analysis. Values may be inflated where correctional institutions are located. Please note data from 2020 reflects the impact of the COVID-19 pandemic.
Columbia, SC	Prevalence Data: Data represent persons living with HIV in the Columbia MSA (includes ZIP Codes outside of the city of Columbia proper) at the end of 2020 and who were reported as of 03/01/2021. People with unknown transmission category and cases missing ZIP Code were excluded from analysis. Cases are based on most recent known address. Data have not been adjusted for reporting delays. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV in the Columbia MSA (includes ZIP Codes outside of the city of Columbia proper) between 2016 and 2020 and who were reported as of 03/01/2021. People with unknown transmission category were excluded from analysis. Cases are based on residence at diagnosis. Data have not been adjusted for reporting delays. Continuum Data: Data represent persons in the Columbia MSA (includes ZIP Codes outside of the city of Columbia proper) and entered as of 03/01/2021. People with unknown transmission category were excluded from analysis. Data have not been adjusted for reporting delays.
Columbus (Franklin County), OH	Prevalence Data: Data represent persons living with HIV in Franklin County at the end of 2020 and who were entered as of 03/01/2022. Cases are based on most recent known address. Data have not been adjusted for reporting delays. Cases from department of corrections and federal correctional institutions are included in the analysis. Values may be inflated where correctional institutions are located. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV in Franklin County between 2016 and 2020 and who were entered as of 03/01/2022. Cases are based on residence at diagnosis. Data have not been adjusted for reporting delays. Cases from department of corrections and federal correctional institutions are included in the analysis. Values may be inflated where correctional institutions are located. Please note data from 2020 reflects the impact of the COVID-19 pandemic.
Dallas, TX	Prevalence Data: Data represent persons living with HIV in ZIP Codes in the Dallas MSA at the end of 2020 and who were reported as of 3/3/2022. Cases are based on most recent known address and were excluded from analysis if ZIP Code was missing. Data have not been adjusted for reporting delays. A correctional warning has been provided for every ZIP Code. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV in ZIP Codes in Dallas MSA between 2016 and 2020 and who were reported as of 3/3/2022. Cases are based on residence at diagnosis and were excluded from analysis if ZIP Code at diagnosis was missing. Data have not been adjusted for reporting delays. A correctional warning has been provided for every ZIP Code. Continuum Data: Data in the Dallas MSA were reported as of 3/3/2022for late diagnoses, linkage to care, receipt of care, and viral suppression. Data have not been adjusted for reporting delays. A correctional warning has been provided for every ZIP Code.
Denver, CO	Prevalence Data: Data represent persons living with HIV in Denver, Arapahoe, Jefferson, Adams, and Douglas Counties at the end of 2020 and who were reported as of 01/01/2022. Rocky Mountain Arsenal is a non-residential area and is therefore not part of the interactive maps. ZIP Code 80045 is mostly non-residential due to the campus for the University of Colorado Hospital. Cases are based on the most recent known address and were excluded from analysis if ZIP Code was missing. Data have not been adjusted for reporting delays. A correctional warning has been provided for ZIP Codes 80239, 80204, 80235, 80601, 80112, 80021, 80215, 80205, 80401 and 80123. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV in Denver, Arapahoe, Jefferson, Adams, and Douglas Counties between 2016 and 2020 and who were entered as of 01/01/2022. Rocky Mountain Arsenal is a non-residential area and is therefore not part of the interactive maps. ZIP Code 80045 is mostly non-residential due to the campus for the University of Colorado Hospital. Cases are based on residence at diagnosis. Data have not been adjusted for reporting delays. A correctional warning has been provided for ZIP Codes 80239, 80204, 80235, 80601, 80112, 80021, 80215, 80205, 80401 and 80123. Continuum Data: Data represent persons in Denver, Arapahoe, Jefferson, Adams, and Douglas Counties who were entered as of 01/01/2022. Rocky Mountain Arsenal is a non-residential area and is therefore not part of the interactive maps. ZIP Code 80045 is mostly non-residential due to the campus of the University of Colorado Hospital. Data have not been adjusted for reporting delays. A correctional warning has been provided for ZIP Codes 80239, 80204, 80235, 80601, 80112, 80021, 80215, 80205, 80401 and 80123.
Detroit, MI	Prevalence Data: Data represent persons living with HIV in the Detroit Tri-County Area at the end of 2020 and who were reported as of 12/31/2021. Persons included were living in the Detroit Tri-County Area with diagnosed HIV in 2020 and diagnosed between 1981 and 2020. Cases are based on most recent known address. Corrections facilities in the Detroit Tri-County Area are jails with relatively short stays and persons diagnosed in jail are mapped using their home addresses. Highland Park and Hamtramck are cities within the City of Detroit. They are considered part of the Detroit Tri-County Area, but since they share ZIP Codes with the City of Detroit, their ZIP Codes are labeled as Detroit ZIP Codes. In 2000, 48167 encompassed the 48167/48168 area and 48192 encompassed the 48192/48193 area. These ZIP Codes were split and new ZIP Codes were added between 2000 and 2010. Data have not been adjusted for reporting delays. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV in the Detroit Tri-County Area between 2016 and 2020 and who were reported as of 12/31/2021. Cases are based on residence at diagnosis. Corrections facilities in the Detroit Tri-County Area are jails with relatively short stays and persons diagnosed in jail are mapped using their home addresses. Highland Park and Hamtramck are cities within the City of Detroit. They are considered part of the Detroit Tri-County Area, but since they share ZIP Codes with the City of Detroit, their ZIP Codes are labeled as Detroit ZIP Codes. Continuum Data: Data in the Detroit Tri-County Area were reported as of 03/17/2022 for the late diagnoses, linkage to care, receipt of care, and viral suppression data. Corrections facilities in the Detroit Tri-County Area are jails with relatively short stays and persons diagnosed in jail are mapped using their home addresses. Highland Park and Hamtramck are cities within the City of Detroit. They are considered part of the Detroit Tri-County Area, but since they share ZIP Codes with the City of Detroit, their ZIP Codes are labeled as Detroit ZIP Codes.
Fort Lauderdale (Broward County), FL	Prevalence Data: Data represent persons living with HIV in Broward County (a division in the Miami MSA) at the end of 2020and reported as of 12/31/2021. Cases are based on most recent known address. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV in Broward County (a division in the Miami MSA) between 2016 and 2020 and who were reported as of 12/31/2021. Cases are based on residence at diagnosis. Cases from department of corrections and federal correctional institutions are excluded from analysis. Continuum Data: Data represent persons in Broward County (a division in the Miami MSA) who were reported as of 12/31/2021.
Fort Worth, TX	Prevalence Data: Data represent persons living with HIV in ZIP Codes in Fort Worth at the end of 20120 and who were reported as of 3/3/2022. Cases are based on most recent known address and were excluded from analysis if ZIP Code was missing. Data have not been adjusted for reporting delays. A correctional warning has been provided for every ZIP Code. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV in ZIP Codes in Fort Worth between 2016 and 2020 and who were reported as of 3/3/2022. Cases are based on residence at diagnosis and were excluded from analysis if ZIP Code at diagnosis was missing. Data have not been adjusted for reporting delays. A correctional warning has been provided for every ZIP Code. Continuum Data: Data in Fort Worth were reported as of 3/3/2022for late diagnoses, linkage to care, receipt of care, and viral suppression. Data have not been adjusted for reporting delays. A correctional warning has been provided for every ZIP Code.
Hampton Roads, VA	Prevalence Data: Data represent persons living with HIV in the Virginia Beach-Norfolk-Newport News MSA at the end of 2020 and who were reported through 03/09/2022. Cases are based on most recent known residence in Virginia. Data have not been adjusted for reporting delays. For a ZIP Code crossing boundaries to another jurisdiction outside of the Virginia Beach-Norfolk-Newport News MSA, only the Virginia Beach-Norfolk-Newport News MSA cases are included in the data. ZIP Codes outside Hampton Roads include 23030, 23032, 23011, 27926, 27937, 27976, 23156, 23839, 23842, 23881, 23888, 23890, 23899, 27916, 27917, 27923, 27927, 27929, 27939, 27941, 27947, 27956, 27964, 27965, 27966, and 27973. Cases missing ZIP Code (including homeless persons) are excluded from this analysis. The US Census updated MSA delineation files in February 2013, and Surry County was removed from the MSA. The number of new HIV diagnoses in 2014 reflects the Virginia Beach-Norfolk-Newport News MSA with Surry County not included. Deaths are based on last known residence in Virginia and are not necessarily due to a HIV/AIDS diagnosis; the number of deaths reported could be due to a number of unrelated causes. Some race/ethnicity categories may have been combined for confidentiality purposes. A correctional warning has been provided for all ZIP Codes. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV in the Virginia Beach-Norfolk-Newport News MSA between 2016 and 2020 and who were reported through 03/09/2022. Cases are based on residence at diagnosis. For a ZIP Code crossing boundaries to another jurisdiction outside of the Virginia Beach-Norfolk-Newport News MSA, only the Virginia Beach-Norfolk-Newport News MSA cases are included in the data. ZIP Codes outside Hampton Roads include 23030, 23032, 23011, 27926, 27937, 27976, 23156, 23839, 23842, 23881, 23888, 23890, 23899, 27916, 27917, 27923, 27927, 27929, 27939, 27941, 27947, 27956, 27964, 27965, 27966, and 27973. Cases missing ZIP Code (including homeless persons) are excluded from this analysis. The number of new HIV diagnoses in 2014 reflects the Virginia Beach-Norfolk-Newport News MSA with Surry County not included. The US Census updated MSA delineation files in February 2013, and Surry County was removed from the MSA. Data have not been adjusted for reporting delays. A correctional warning has been provided for all ZIP Codes. Continuum Data: Data represent persons in the Virginia Beach-Norfolk-Newport News MSA who were reported through 03/09/2022 for late diagnoses, linkage to care, receipt of care, and viral suppression. Data have not been adjusted for reporting delays. A correctional warning has been provided for all ZIP Codes.
Hartford MSA, CT	Prevalence Data: Data represent persons living with HIV living in the Hartford MSA (Hartford, Middlesex, and Tolland Counties), based on last known residence (including correctional facilities), that had a valid zip code at the end of 2020 and who were reported through 12/22/2021. (Cases missing a ZIP Code at last known residence were omitted). Data have not been adjusted for reporting delays. Please note: data for 2020 should be interpreted with caution due to the impact of the COVID-19 pandemic on access to HIV testing & care-related services New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV as residents of the Hartford MSA between 2016 and 2020 and were reported as of 12/22/2021. Cases are based on residence at diagnosis for people with a valid zip code in the Hartford MSA. Data have not been adjusted for reporting delays. Please note: data for 2020 should be interpreted with caution due to the impact of the COVID-19 pandemic on access to HIV testing & care-related services Continuum Data: Data reflect cases in the Hartford MSA reported as of 12/22/2021. Data have not been adjusted for reporting delays. Please note: data for 2020 should be interpreted with caution due to the impact of the COVID-19 pandemic on access to HIV testing & care-related services
Houston (Harris County), TX	Prevalence Data: Data represent persons living with HIV in the city of Houston and/or Harris County at the end of 2019 and who were reported through 12/27/2021. For a ZIP Code sharing jurisdiction with Houston/Harris County and other jurisdictions, all cases from the ZIP Code are reflected in the data. Cases are based on most recent known address. Data have not been adjusted for reporting delays. A correctional warning has been provided for all ZIP Codes. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV in the city of Houston and/or Harris County between 2016 and 2020 and who were reported through 12/27/2021. For a ZIP Code sharing jurisdiction with Houston/Harris County and other jurisdictions, all cases from the ZIP Code are reflected in the data. Cases are based on residence at diagnosis. Data have not been adjusted for reporting delays. A correctional warning has been provided for all ZIP Codes. Continuum Data: Data represents a lab-based (i.e., care appointment and prescription data are not included in this care continuum) care continuum of Houston and/or Harris County between 2019 and 2020 and who were reported through 12/27/2021. For a ZIP Code sharing jurisdiction with Houston/Harris County and other jurisdictions, all cases from the ZIP Code are reflected in the data. Data have not been adjusted for reporting delays. A correctional warning has been provided for all ZIP Codes. The Houston Health Department recommends also viewing the Houston EMA HIV Care Continuum (which includes care appointment and prescription data) here: http://rwpchouston.org/Publications/2017_Comp_Plan/Care_Continuum.htm
Jackson, MS	Prevalence Data: Data represent persons living with HIV in some ZIP Codes that lie within Hinds, Madison, and Rankin Counties at the end of 2019 and reported as of 09/06/2020. Cases are based on most recent known address. Cases missing ZIP Code were excluded from the analysis. Data have not been adjusted for reporting delays. A correctional warning has been provided for ZIP Code 39208. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV in some ZIP Codes that lie within Hinds, Madison, and Rankin Counties between 2015 and 2019 and who were reported as of 09/06/2020. Cases are based on residence at diagnosis. Cases missing ZIP Code at diagnosis were excluded from the analysis. Data have not been adjusted for reporting delays. A correctional warning has been provided for ZIP Code 39208.
Jacksonville, FL	Prevalence Data: Data represent persons living with HIV in Baker, Clay, Duval, Nassau, and St. Johns Counties at the end of 2020and reported as of 12/31/2021. Cases are based on most recent known address. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV in Baker, Clay, Duval, Nassau, and St. Johns Counties between 2016 and 2020 and who were reported as of 12/31/2021. Cases are based on residence at diagnosis. Cases from department of corrections and federal correctional institutions are excluded from analysis. Continuum Data: Data represent persons in Baker, Clay, Duval, Nassau, and St. Johns Counties who were reported as 12/31/2021.
Jersey City, NJ	Prevalence Data: Data represent persons living with HIV in Jersey City at the end of 2020 and who were reported as of 04/07/2022. Cases are based on most recent known address. Cases with missing ZIP Codes were excluded from analysis. Data have not been adjusted for reporting delays. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV in Jersey City between 2016 and 2020 and who were reported as of 04/07/2022. Cases are based on residence at diagnosis. Cases with missing ZIP Codes were excluded from the analysis. Data have not been adjusted for reporting delays.
Las Vegas, NV	Prevalence Data: Data represent persons living with HIV in Clark County at the end of 2020 and who were entered as of 04/28/2021. Cases are based on most recent known address. Data have not been adjusted for reporting delays. Cases from department of corrections and federal correctional institutions are included in the analysis. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV in Clark County between 2016 and 2020 and who were entered as of 04/28/2021. Cases are based on residence at diagnosis. Data have not been adjusted for reporting delays. Cases from department of corrections and federal correctional institutions are included in the analysis. Continuum Data: Data reflect cases in Clark County reported as of 04/28/2021 for late diagnoses, linkage to care, receipt of care, and viral suppression. Data have not been adjusted for reporting delays. Cases from department of corrections and federal correctional institutions are included in the analysis.
Los Angeles, CA	Prevalence Data: Data represent persons aged 13 years or older living with diagnosed HIV infection in Los Angeles County at the end of 2020 who were reported as of 12/31/2021. ZIP Code data are based on most recent known residence in Los Angeles County. Persons with missing current ZIP Code information or with a ZIP Code outside Los Angeles County were excluded from analysis. Data have not been adjusted for reporting delays. New HIV diagnoses Data: Data represent persons aged 13 years or older who were newly diagnosed with HIV infection in Los Angeles County between 2016 and 2020 and who were reported as of 12/31/2021. ZIP Code data are based on residence at the time of HIV diagnosis in Los Angeles County. Persons with missing ZIP Code information or with a ZIP Code outside Los Angeles County at time of diagnosis were excluded from analysis. Data have not been adjusted for reporting delays. Continuum of Care: Data represent persons in Los Angeles County who were reported with diagnosed HIV infection as of 12/31/2021 for late diagnoses, linkage to care, receipt of care, and viral suppression. Persons with missing residential ZIP Code information or with a ZIP Code outside Los Angeles County were excluded from analysis. Data have not been adjusted for reporting delays. A correctional warning has been provided for ZIP Codes 90012, 90731, 91384 and 93536 where correctional facilities are located and thus the number of HIV cases may be elevated due to congregated housing.
Memphis, TN	Prevalence Data: Data represent persons living with HIV in Shelby County at the end of 2020 and who were reported as of 07/27/2021. Cases are based on most recent known address. Any cases missing ZIP Code were excluded from analysis. Data have not been adjusted for reporting delays. A correctional warning has been provided for all ZIP Codes. New HIV Diagnoses: Data represent persons newly diagnosed with HIV in Shelby County between 2016 and 2020 and who were reported as of 07/27/2021. Cases are based on residence at diagnosis. Any cases missing ZIP Code at diagnosis were excluded from analysis. Data have not been adjusted for reporting delays. A correctional warning has been provided for all ZIP Codes.
Miami, FL	Prevalence Data: Data represent persons living with HIV in Miami-Dade County (a division in the Miami MSA) at the end of 2020and reported as of 12/31/2021. Cases are based on most recent known address. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV in Miami-Dade County (a division in the Miami MSA) between 2016 and 2020 and who were reported as of 12/31/2021. Cases are based on residence at diagnosis. Cases from department of corrections and federal correctional institutions are excluded from analysis. Continuum Data: Data represent persons in Miami-Dade County (a division in the Miami MSA) who were reported as of 12/31/2021.
Milwaukee, WI	Prevalence Data: Data represent persons living with HIV at the end of 2020, who had a ZIP Code fully or partially within Milwaukee County and who were reported as of 2/28/2022. Individuals without a last known ZIP Code are excluded. Data have not been adjusted for reporting delays. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV, who had a ZIP Code fully or partially within Milwaukee County between 2016 and 2020, and who were reported by 2/28/2022. Individuals with an unknown ZIP Code or who were homeless at the time of diagnosis are excluded. Data have not been adjusted for reporting delays. Continuum Data: Data represent persons who had a ZIP Code fully or partially within Milwaukee County who were reported as of 2/28/2022 for late diagnoses, linkage to care, receipt of care, and viral suppression. Data have not been adjusted for reporting delays.
Minneapolis, MN	Prevalence Data: Data represent persons living with HIV in the Minneapolis/St. Paul Metro Region at the end of 2020 and who were reported as of 2/22/2022. Cases are based on most recent known address. Data have not been adjusted for reporting delays. New HIV diagnoses Data: Data represent persons newly diagnosed with HIV in the Minneapolis/St. Paul Metro Region between 2016 and 2020 and who were reported as of 2/22/2022. Cases are based on residence at diagnosis. Data have not been adjusted for reporting delays.
Mobile, AL	Prevalence Data: Data represent persons living with diagnosed HIV in Baldwin and Mobile Counties at the end of 2020 and who were entered as of 03/01/2021. Cases are based on most recent known address. Data have not been adjusted for reporting delays. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV in Baldwin and Mobile Counties between 2015 and 2020 and who were entered as of 03/01/2021. Cases are based on residence at diagnosis. Data have not been adjusted for reporting delays. Continuum Data: Data reflect cases in Baldwin and Mobile Counties reported as of 03/01/2021 for late diagnoses, linkage to care, receipt of care, and viral suppression. Data have not been adjusted for reporting delays.
Montgomery, AL	Prevalence Data: Data represent persons living with diagnosed HIV in Autauga, Elmore, and Montgomery Counties at the end of 2020 and who were entered as of 03/01/2021. Cases are based on most recent known address. Data have not been adjusted for reporting delays. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV in Autauga, Elmore, and Montgomery Counties between 2015 and 2020 and who were entered as of 03/01/2021. Cases are based on residence at diagnosis. Data have not been adjusted for reporting delays. Continuum Data: Data reflect cases in Autauga, Elmore, and Montgomery Counties reported as of 03/01/2021 for late diagnoses, linkage to care, receipt of care, and viral suppression. Data have not been adjusted for reporting delays.
Nashville, TN	Prevalence Data: Data represent persons living with HIV in Davidson County at the end of 2020 and who were reported as of 07/27/2021. Cases are based on most recent known address. Any cases missing ZIP Code were excluded from analysis. Data have not been adjusted for reporting delays. A correctional warning has been provided for all ZIP Codes. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV in Davidson County between 2016 and 2020 and who were reported as of 07/27/2021. Cases are based on residence at diagnosis. Any cases missing ZIP Code at diagnosis were excluded from analysis. Data have not been adjusted for reporting delays. A correctional warning has been provided for all ZIP Codes.
New Haven-Milford MSA, CT	Prevalence Data: Data represent persons living with HIV as residents of New Haven County based on last known residence (including correctional facilities), that had a valid zip code at the end of 2019 and who were reported through 12/22/2021. (Cases missing a ZIP Code at last known residence were omitted). Data have not been adjusted for reporting delays. Please note: data for 2020 should be interpreted with caution due to the impact of the COVID-19 pandemic on access to HIV testing & care-related services New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV as residents of New Haven County between 2016 and 2020 and were reported as of 12/22/2021. Cases are based on residence at diagnosis for people with a valid zip code in New Haven County. Data have not been adjusted for reporting delays. Please note: data for 2020 should be interpreted with caution due to the impact of the COVID-19 pandemic on access to HIV testing & care-related services Continuum Data: Data reflect cases of residents of New Haven County reported as of 12/22/2021. Data have not been adjusted for reporting delays. Please note: data for 2020 should be interpreted with caution due to the impact of the COVID-19 pandemic on access to HIV testing & care-related services
New Orleans, LA	Prevalence Data: Data represent persons living with HIV in Orleans and Jefferson Parishes at the end of 2020 and who were reported as of 03/11/2022. Cases are based on most recent known address. Data have not been adjusted for reporting delays. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV in Orleans and Jefferson Parishes between 2016 and 2020 and who were reported as of 03/11/2022. Cases are based on residence at diagnosis. Data have not been adjusted for reporting delays. Continuum Data: Data reflect cases in Orleans and Jefferson Parishes that were reported as of 03/11/2022 for late diagnoses, linkage to care, receipt of care, and viral suppression. Data have not been adjusted for reporting delays.
New York City, NY	Prevalence Data: Data represent persons living with HIV in New York City and not known to have died as of 12/31/2020 and who were reported to the NYC Department of Health and Mental Hygiene as of 12/31/2021. Cases are based on most recent known address and only residential ZIP Codes were included in the analysis. Cases with an unknown current ZIP Code or with a ZIP Code outside New York City were excluded. Data have not been adjusted for reporting delays. A correctional warning has been provided for ZIP Code 11370. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV in New York City between 2016 and 2020 and who were reported to the NYC Department of Health and Mental Hygiene as of 12/31/2021. Cases are based on residence at HIV diagnosis and only residential ZIP Codes were included in the analysis. Cases with an unknown current ZIP Code or with a ZIP Code outside New York City were excluded. Data have not been adjusted for reporting delays. A correctional warning has been provided for ZIP Code 11370. Continuum Data: Data reflect cases in New York City who were reported to the NYC Department of Health and Mental Hygiene as of 12/31/2021 for late diagnoses, linkage to care, receipt of care, and viral suppression. Cases with an unknown current ZIP Code or with a ZIP Code outside New York City were excluded. Data have not been adjusted for reporting delays. A correctional warning has been provided for ZIP Code 11370.
Newark, NJ	Prevalence Data: Data represent persons living with HIV in the City of Newark at the end of 2020 and who were reported as of 04/07/2022. Cases are based on most recent known address. Cases with missing ZIP Codes were excluded from analysis. Data have not been adjusted for reporting delays. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV in the City of Newark between 2016 and 2020 and who were reported as of 04/07/2022. Cases are based on residence at diagnosis. Cases with missing ZIP Codes were excluded from the analysis. Data have not been adjusted for reporting delays.
Oakland/ Alameda, CA	New Diagnoses: Data represent persons newly diagnosed with HIV in the City of Oakland and the remainder of Alameda County between 2014 and 2018 and who were reported as of 12/31/2020. Cases are based on residence at diagnosis. Data have not been adjusted for reporting delays. The following ZIP Codes cross boundaries into jurisdictions outside Alameda County: 94550, 94551, 94588, 94611, 94708 and 95391. A correctional warning has been provided for all ZIP Codes. Prevalence: Data represent persons living with diagnosed HIV or AIDS in the City of Oakland and the remainder of Alameda County through the end of 2018 and who were reported as of 12/31/2020. Cases are based on most recent known address. Data have not been adjusted for reporting delays. The following ZIP Codes cross boundaries into jurisdictions outside Alameda County: 94550, 94551, 94588, 94611, 94708 and 95391. A correctional warning has been provided for all ZIP Codes.
Orange County, CA	New Diagnoses: Data represent persons newly diagnosed with HIV in Orange County between 2016 and 2020 and who were reported as of 12/31/2021. Cases are based on residence at diagnosis. Data have not been adjusted for reporting delays. Prevalence: Data represent persons living with diagnosed HIV in Orange County at the end of 2020as reported by 12/31/2021. Cases are based on the most recent known address. Data have not been adjusted for reporting delays. Continuum Data: Data reflect cases in Orange County that were reported as of 12/31/2021 for late diagnoses, linkage to care, receipt of care, and viral suppression. Data have not been adjusted for reporting delays.
Orlando, FL	Prevalence Data: Data represent persons living with HIV in Lake, Orange, Osceola and Seminole Counties at the end of 2020as of 12/31/2021. Cases are based on most recent known address. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV in Lake, Orange, Osceola and Seminole Counties between 2016 and 2020 and who were reported as of 12/31/2021. Cases are based on residence at diagnosis. Cases from department of corrections and federal correctional institutions are excluded from analysis. Continuum Data: Data represent persons in Lake, Orange, Osceola, and Seminole Counties who were reported as of 12/31/2021.
Philadelphia, PA	Prevalence Data: Data represent persons living with HIV in the City of Philadelphia at the end of 2020 and who were reported as of 06/30/2021. Cases are based on most recent known address and are not displayed if counts are less than 6. Homeless cases and cases missing an address were omitted. Data have not been adjusted for reporting delays. A correctional warning has been provided for ZIP Codes 19132 and 19136. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV in the City of Philadelphia between 2016 and 2020 and who were reported as of 06/30/2021. Cases are based on residence at diagnosis and are not displayed if counts are less than 6. Homeless cases and cases missing an address at diagnosis were omitted. Data have not been adjusted for reporting delays. A correctional warning has been provided for ZIP Codes 19132 and 19136. Continuum Data: Data represent persons in the City of Philadelphia who were reported as of 06/30/2021. Cases are not displayed if counts are less than 6. Homeless cases and cases missing an address at diagnosis were omitted. Data have not been adjusted for reporting delays. A correctional warning has been provided for ZIP Codes 19136. AIDSVu data may differ from locally published data (i.e. annual surveillance reports). Any use of AIDSVu Philadelphia city-level data, including but not limited to the map and/or city profile, is only permitted through exclusive permission from the Philadelphia Department of Public Health (PDPH). If you would like to use our data for publication or analysis, please submit a request for review at aacoepi@phila.gov for AIDS Activities Coordinating Office divisional review and approval, and review by the PDPH Health Commissioner’s Office.
Phoenix (Maricopa County), AZ	Prevalence Data: Data represent persons living with HIV, who had a zip code fully or partially in Maricopa County at the end of 2020, and who were entered as of 03/14/2022. Cases are based on the most recent known address. Data have not been adjusted for reporting delays. Data include cases from federally recognized tribal lands co-located in Maricopa County. Cases from Arizona Department of Corrections, Maricopa County Sheriff’s Office and federal correctional institutions are included in the analysis. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV, who had a zip code fully or partially in Maricopa County between 2016 and 2020 and who were entered as of 03/14/2022. Cases are based on residence at diagnosis. Data have not been adjusted for reporting delays. Data include cases from federally recognized tribal lands co-located in Maricopa County. Cases from Arizona Department of Corrections, Maricopa County Sheriff’s Office and federal correctional institutions are included in the analysis. Continuum Data: Data reflect cases in Maricopa County reported as of 03/14/2022 for late diagnoses and linkage to care. Data for receipt of care and viral suppression were reported as of 07/02/2021. Data have not been adjusted for reporting delays. Data include cases from federally recognized tribal lands co-located in Maricopa County. Cases from Arizona Department of Corrections, Maricopa County Sheriff’s Office and federal correctional institutions are included in the analysis.
Providence, RI	Data represent persons living with HIV in the city of Providence and select surrounding zip codes at the end of 2019 and who were entered as of 12/31/2021. Cases are based on most recent known address. Data have not been adjusted for reporting delays. Cases from department of corrections and federal correctional institutions are included in the analysis. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV in the city of Providence and select surrounding zip codes between 2016 and 2020 and who were entered as of 12/31/2021. Cases are based on residence at diagnosis. Data have not been adjusted for reporting delays. Cases from department of corrections and federal correctional institutions are included in the analysis. Continuum Data: Data represent persons in the city of Providence entered as of 12/31/2021. Data have not been adjusted for reporting delays. Cases from department of corrections and federal correctional institutions are included in the analysis.
Raleigh (Wake County), NC	Prevalence Data: Data represent persons living with HIV in Wake County (comprised of Raleigh and 11 other municipalities) at the end of 2020 who were reported through 03/14/2022. Cases are based on most recent known address. Data have not been adjusted for reporting delays. A correctional warning has been provided for all ZIP Codes. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV in Wake County (comprised of Raleigh and 11 other municipalities) between 2016 and 2020 who were reported as of 03/14/2022. Cases are based on residence at diagnosis. Data have not been adjusted for reporting delays. A correctional warning has been provided for all ZIP Codes. Continuum Data: Data represent persons in Wake County (comprised of Raleigh and 11 other municipalities) who were reported as of 03/14/2022. Data have not been adjusted for reporting delays. A correctional warning has been provided for all ZIP Codes.
Richmond, VA	Prevalence Data: Data represent persons living with HIV in the Richmond MSA at the end of 2020 and who were reported through 03/09/2022. Cases are based on last known residence in Virginia. Data have not been adjusted for reporting delays. For a ZIP Code crossing boundaries to another jurisdiction outside of the Richmond MSA, only the Richmond MSA cases are included in the data. ZIP Codes outside Richmond include 23038, 23185, 23824, 22485, 23093, 23117, 23837, 23847, 23188, 23901, 23024, 22560, 23930, 22551, 22405, 23040, 23027, 23110, 23889, 22438, 22475, 23148, 23126, 23839, 23161, 23168, 23876, 23922, 23055, 23085, 23878, 23084, 23901, 23177, 22408, 22436, 23966 and 22509. Cases missing ZIP Code (including homeless persons) are excluded from this analysis. Deaths are based on last known residence in Virginia and are not necessarily due to a HIV/AIDS diagnosis; the number of deaths reported could be due to a number of unrelated causes. Some race/ethnicity categories may have been combined for confidentiality purposes. A correctional warning has been provided for all ZIP Codes. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV in the Richmond MSA between 2016 and 2020 and who were reported through 03/09/2022. Cases are based on residence at diagnosis. For a ZIP Code crossing boundaries to another jurisdiction outside of the Richmond MSA, only the Richmond MSA cases are included in the data. ZIP Codes outside Richmond include 23038, 23185, 23824, 22485, 23093, 23117, 23837, 23847, 23188, 23901, 23024, 22560, 23930, 22551, 22405, 23040, 23027, 23110, 23889, 22438, 22475, 23148, 23126, 23839, 23161, 23168, 23876, 23922, 23055, 23085, 23878, 23084, 23901, 23177, 22408, 22436, 23966 and 22509. Cases missing ZIP Code (including homeless persons) are excluded from this analysis. Cases missing ZIP Code (including homeless persons) are excluded from this analysis. Data have not been adjusted for reporting delays. A correctional warning has been provided for all ZIP Codes. Continuum Data: Data represent persons in the Richmond MSA who were reported through 03/09/2022 for late diagnoses, linkage to care, receipt of care, and viral suppression. Data have not been adjusted for reporting delays. A correctional warning has been provided for all ZIP Codes.
San Antonio, TX	Prevalence Data: Data represent persons living with HIV in ZIP Codes in the San Antonio MSA at the end of 2020 and who were reported as of 3/3/2022. Cases are based on most recent known address and were excluded from analysis if ZIP Code was missing. Data have not been adjusted for reporting delays. A correctional warning has been provided for every ZIP Code. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV in ZIP Codes in the San Antonio MSA between 2016 and 2020 and who were reported as of 3/3/2022. Cases are based on residence at diagnosis and were excluded from analysis if ZIP Code at diagnosis was missing. Data have not been adjusted for reporting delays. A correctional warning has been provided for every ZIP Code. Continuum Data: Data in San Antonio MSA were reported as of 3/3/2022for the late diagnoses, linkage to care data, receipt of care, and viral suppression. Data have not been adjusted for reporting delays. A correctional warning has been provided for every ZIP Code.
San Diego, CA	New Diagnoses: Data represent persons newly diagnosed with HIV in San Diego County between 2014 and 2018 and who were reported as of 12/31/2020. Cases are based on residence at diagnosis. Data have not been adjusted for reporting delays. Prevalence: Data represent persons living with diagnosed HIV in San Diego County at the end of 2018 as reported by 12/31/2020. Cases are based on the most recent known address. Data have not been adjusted for reporting delays. A correctional warning has been provided for all ZIP Codes.
San Francisco, CA	Prevalence Data: Data represent persons living with HIV in the City and County of San Francisco at the end of 2020 and who were reported as of 03/25/2021. Data are mapped based on the most recent known address. All addresses were geocoded and validated against the ZIP Codes reported in eHARS. Cases with discrepant ZIP Code information were closely examined. If the street address was valid, the updated ZIP Code was assigned. Otherwise, if the street address could not be verified, the ZIP Code was left unchanged. Corrected ZIP Codes were also assigned to cases with previously missing ZIP Codes. Usual residence was determined for cases diagnosed in a correctional facility. If a usual residence could not be determined, the case would have an unknown San Francisco address because these cases were not assigned the correctional facility address at time of diagnosis; there are not inflated numbers in ZIP Codes with correctional facilities. Homeless cases are not displayed on the map. Data have not been adjusted for reporting delays. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV in the City and County of San Francisco between 2016 and 2020 and who were reported as of 03/25/2021. Data are mapped based on the residence at time of HIV or AIDS diagnosis. All addresses at HIV or AIDS diagnosis were geocoded and validated against the ZIP Codes reported in eHARS. Cases with discrepant ZIP Code information were closely examined. If the street address was valid, the updated ZIP Code was assigned. Otherwise, if the street address could not be verified, the ZIP Code was left unchanged. Corrected ZIP Codes were also assigned to cases with previously missing ZIP Codes at time of diagnosis. Usual residence was determined for cases diagnosed in a correctional facility. If a usual residence could not be determined, the case would have an unknown San Francisco address because these cases were not assigned the correctional facility address at time of diagnosis; there are not inflated numbers in ZIP Codes with correctional facilities. Homeless cases are not displayed on the map. Data have not been adjusted for reporting delays. City Profile: The newly diagnosed data represent persons newly diagnosed with HIV in the City and County of San Francisco between 2016 and 2020 and who were reported as of 03/25/2021. Date of diagnosis is determined using the earliest date of any of the following: positive HIV antibody, positive antigen/antibody combination test, detectable viral load test, or physician-documented diagnosis in the absence of laboratory documentation. Newly diagnosed “sex” breakdown actually reflects gender and therefore does not add up to 100%. HIV prevalence on the city profile is defined as individuals who were San Francisco residents at diagnosis and living with HIV as of 12/31/2020. All data regarding HIV prevalence, mortality, and newly diagnosed persons aligns with the data released in the 2020 San Francisco HIV Epidemiology Report.
San Juan, PR	Prevalence Data: Data represent persons living with HIV in the San Juan – Caguas – Guaynabo MSA at the end of 2020 and who were reported as of 02/28/2022. Cases are based on most recent known address and were excluded from analysis if address information was missing. Only data from San Juan – Caguas – Guaynabo MSA are displayed. Data have not been adjusted for reporting delays. A correctional warning has been provided for ZIP Codes 00603, 00612, 00692, 00960, 00901 and 00745. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV in the San Juan – Caguas – Guaynabo MSA between 2016 and 2020 and who were reported as of 08/28/2022. Cases are based on residence at diagnosis and were excluded from analysis if address information was missing. Only data from San Juan – Caguas – Guaynabo MSA are displayed. Data have not been adjusted for reporting delays. A correctional warning has been provided for ZIP Codes 00603, 00612, 00692, 00960, 00901 and 00745.
Seattle MSA, WA	Prevalence Data: Data represent Seattle MSA residents living with HIV infection (with or without AIDS) at the end of 2020, based on surveillance reports provided to the Washington State Department of Health as of 03/01/2022. Cases are based on most recent known address and are not displayed if counts are less than 6. Rates are not displayed if counts are less than 12. Cases with unknown current ZIP code or with ZIP codes located outside the city of Seattle were excluded. Data have not been adjusted for reporting delays. A correctional warning has been provided for ZIP Codes 98272, 98332, 98122, 98402, 98201, 98198, and 98104. New HIV Diagnoses Data: Data represent Seattle MSA residents newly diagnosed with HIV infection (with or without AIDS) between 2016 and 2020, based on surveillance reports provided to the Washington State Department of Health as of 03/01/2022. Cases are based on residence at diagnosis. Cases with unknown current ZIP code or with ZIP codes located outside the city of Seattle were excluded. Data have not been adjusted for reporting delays. A correctional warning has been provided for ZIP Codes 98272, 98332, 98122, 98402, 98201, 98198, and 98104. Continuum Data: Data represent Seattle MSA residents based on surveillance reports provided to the Washington State Department of Health as of 03/01/2022 for the late diagnoses, linkage to care data, receipt of care, and viral suppression. Cases with unknown current ZIP code or with ZIP codes located outside the city of Seattle were excluded. Data have not been adjusted for reporting delays. A correctional warning has been provided for ZIP Codes 98272, 98332, 98122, 98402, 98201, 98198, and 98104.
Tampa, FL	Prevalence Data: Data represent persons living with HIV in Hernando, Hillsborough, Pasco, and Pinellas Counties at the end of 2020and reported as of 12/31/2021. Cases are based on most recent known address. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV in Hernando, Hillsborough, Pasco, and Pinellas Counties between 2016 and 2020 and who were reported as of 12/31/2021. Cases are based on residence at diagnosis. Cases from department of corrections and federal correctional institutions are excluded from analysis. Continuum Data: Data represent persons in Hernando, Hillsborough, Pasco, and Pinellas Counties who were reported as of 12/31/2021.
Washington, DC	Prevalence Data: Data represent persons living with HIV in Washington, DC at the end of 2020 and who were diagnosed and reported as of 02/10/2021. Cases are based on most recent known address. Cases with missing address information were excluded from analysis. Cases diagnosed in a correctional facility were assigned the ZIP Code of the correctional facility. Homeless cases with addresses of a shelter at diagnosis were assigned to the ZIP Code of the homeless shelter. Data have not been adjusted for reporting delays. A correctional warning has been provided for ZIP Code 20003. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV in Washington, DC, between 2015 and 2020 and who were diagnosed and reported as of 02/10/2021. Cases are based on residence at diagnosis. Cases with missing address information at diagnosis were excluded from analysis. Cases diagnosed in a correctional facility were assigned the ZIP Code of the correctional facility. Homeless cases with addresses of a shelter at diagnosis were assigned to the ZIP Code of the homeless shelter. Data have not been adjusted for reporting delays. A correctional warning has been provided for ZIP Code 20003.
West Palm Beach, FL	Prevalence Data: Data represent persons living with HIV in Palm Beach County (a division in the Miami MSA) at the end of 2020 and reported as of 12/31/2021. Cases are based on most recent known address. ZIP Code data include name-based cases. New HIV Diagnoses Data: Data represent persons newly diagnosed with HIV in Palm Beach County (a division in the Miami MSA) between 2016 and 2020 and who were reported as of 12/31/2021. Cases are based on residence at diagnosis. ZIP Code data include name-based cases. Cases from department of corrections and federal correctional institutions are excluded from analysis. Continuum Data: Data represent persons in Palm Beach County (a division of the Miami MSA) who were reported as of 12/31/2021.

Data Sources for ZIP Code-Level Data

Data Element	Location on AIDSVu	Data Source	Anticipated Update Frequency on AIDSVu Website
Rates and Case Counts of Persons Living with HIV and Risks and Case Counts of Persons Newly Diagnosed with HIV, Census Tract Data	Maps	2020 Chicago Department of Public Health, STI/HIV Division, Surveillance, Epidemiology and Research Section 2018 District of Columbia Department of Health, HIV/AIDS, Hepatitis, STD and TB Administration 2020 Philadelphia Department of Public Health, AIDS Activities Coordinating Office	Annually
Population Denominators for Rate Calculations	Maps	U.S. Census Bureau. Population Estimates, Vintage 2014.	Based on availability of data.
HIV Testing Sites	Maps	Centers for Disease Control and Prevention, National Prevention Information Network; Customizable Data Feed; downloaded by AIDSVu May 23, 2019.	Bi-Annually
Pre-Exposure Prophylaxis (PrEP) Services	Maps	Centers for Disease Control and Prevention, National Prevention Information Network; Customizable Data Feed; downloaded by AIDSVu May 23, 2019.	Bi-Annually
Ryan White HIV/AIDS Medical Care Providers	Maps	Health Resources and Services Administration, HIV/AIDS Bureau; Data Warehouse; downloaded by AIDSVu June 14, 2019. Data Warehouse updated as of April 1, 2019.	Bi-Annually
Housing Opportunities for People with AIDS (HOPWA)	Maps	Centers for Disease Control and Prevention, National Prevention Information Network; Customizable Data Feed; downloaded by AIDSVu May 23, 2019.	Bi-Annually
NIH-Funded HIV Prevention, Vaccine and Treatment Trials Sites	Maps	National Institutes of Health, National Institute of Allergy and Infectious Diseases, Division of AIDS; Received by AIDSVu June 4, 2019. Data updated as of May 6, 2019.	Bi-Annually
Poverty (Percent of population, all ages, living in poverty) – Census Tract Level	Maps	U.S. Census Bureau, American Community Survey 5-Year Estimates, 2016-2020, Table S1701: Poverty Status in the Past 12 Months	Annually
Educational Attainment (Percent of people over age 25 with at least a high school diploma or equivalent) – Census Tract Level	Maps	U.S. Census Bureau, American Community Survey 5-Year Estimates, 2016-2020, Table S1501: Educational Attainment	Annually
Median Household Income – Census Tract Level	Maps	U.S. Census Bureau, American Community Survey 5-Year Estimates, 2016-2020, Table S1903: Median Income in the Past 12 Months	Annually
Gini Coefficient of income inequality – Census Tract Level	Maps	U.S. Census Bureau, American Community Survey 5-Year Estimates, 2016-2020, Table B19083: Gini Index of Income Inequality	Annually
Severe Housing Cost Burden – Census Tract Level	Maps	U.S. Census Bureau, American Community Survey 5-Year Estimates, 2016-2020, Table B25074: Household Income by Gross Rent as a Percentage of Household Income in the Past 12 Months and Table B25095: Household Income by Selected Monthly Owner Costs as a Percentage of Household Income in the Past 12 Months.	Annually

Census Tract Data

To permit the display of census-tract-level HIV prevalence and new HIV diagnoses data, AIDSVu obtained a data release agreement with the city or state public health departments overseeing HIV surveillance in Chicago, Philadelphia, and Washington, DC. Data were obtained directly from the public health departments and not from CDC because CDC does not collect street addresses for reported cases, and street addresses are required for mapping at the census tract level. Census-tract-level data are not directly comparable to the state- and county-level HIV data also displayed on AIDSVu because the data are not obtained directly from CDC.

Each public health department defined the geographic area (e.g., census tracts) in their jurisdiction for which they desired to display data on AIDSVu. Census-tract-level HIV surveillance data reflect the reported most recent known address for persons living with HIV in the defined geographic area. One-year prevalence rates and case counts were reported from January 1, 2020 to December 31, 2020 and five-year new HIV diagnoses case counts and risk were reported from January 1, 2016 to December 31, 2020, and are based on residence at diagnosis. For more information on how these three jurisdictions handle the assignment of a census tract to cases missing an address, see the Jurisdiction-Specific Data Caveats table below. Rates of persons living with HIV were calculated per 100,000 population to permit data standardization and comparison.

Data Stratification

AIDSVu allows viewers to look at census-tract-level HIV rate and case counts of prevalence data and five-year combined cases and risk of new HIV diagnoses data at the overall geographic level, and by race/ethnicity, sex, and age groups. The Black and White race groups are non-Hispanic, and the Hispanic/Latinx ethnicity is inclusive of all races. Data for Asian/Pacific Islander persons are not included because of small case counts. Sex was defined as “sex at birth.” Cases were assigned to age groups based on age at the end of 2020 for prevalence and age at time of initial diagnosis for new HIV diagnoses for new HIV diagnoses. Caution should be exercised when viewing and interpreting the census tract maps because the scales change across the different demographic breakdowns.

Corrections Warning

For census tracts that house correctional institutions, caution should be exercised when interpreting the data as these statistics are inclusive of institutional populations and their inclusion may artificially inflate the rate and case count of a census tract outside of the institution. To determine if a specific census tract meets this criterion, place the mouse cursor over the area and, in the balloon that appears, there will be a message noting that a rate meets this condition, if applicable.

Data Suppression and Rate Stability

To protect the confidentiality of persons living with HIV, AIDSVu does not display rates, risk, and case counts when the numerator (number of persons living with HIV) is less than five and/or the denominator (number of people in the census tract in that population group) is less than 500. Census tracts appear white when one or both of these conditions are met (see footnote below map scale). Philadelphia is the only exception where the data are suppressed when the numerator is less than six. As is standard in the display of health statistics, rates generated from a numerator less than 12 are considered unstable and should be interpreted with caution. Because rates are not displayed when the numerator is less than five, the “unstable rate” indicator will only be displayed when the numerator is five or greater, but less than 12.

Ranges/Legend Values

Range intervals were initially developed using rounded deciles in SAS analytic software (SAS Institute, Cary, NC). Set cut points for prevalence rates and counts are re-evaluated periodically with our technical advisory committee. Ranges for new HIV diagnoses, were developed using rounded current year quintiles. In order to illustrate the variation in the data, ranges were developed specific to each grouping (i.e., overall, by race/ethnicity, by sex, and by age group). Thus, a total of eight sets of map scales exist for prevalence (rate and count, both by overall/race/sex/age) and new HIV diagnoses (risk and count by overall/race/sex/age). For each scale calculation, the original deciles or quintiles used to create the rounded set cut points were determined by combining the individual rates or counts for each ZIP Code and grouping into 10 or five equal-size groups.

Social Determinants of Health

Social determinants of health are displayed on a secondary map and their associated scales were developed using the same procedure described above. The quartiles from previous years were used to develop the rounded set cut points and are re-evaluated annually with our technical advisory committee. Therefore, there are five additional ranges for these data (i.e., five social determinants for overall census tract level). Poverty (percent of population living in poverty), high school education (percent of population aged 25 or older with a high school degree or equivalent), median household income, severe housing burden cost (percent of households [both renters and owners] who spend over 50% of their income on housing), and income inequality (measured by the Gini Coefficient, a measure of income inequality where 0 reflects complete equality and one reflects complete inequality) are available at the census tract level. The U.S. Census Bureau does not publish data for all census tracts; these areas are colored white.

Jurisdiction-Specific Data Caveats

Jurisdiction	Data Caveats
Chicago	Prevalence Data: Data represent persons living with HIV in the City of Chicago census tract at the end of 2020 and who were reported as of 02/21/2022. Census tracts were assigned based on most recent current reported residence. Homeless cases and those cases missing an address at diagnosis were omitted. Data have not been adjusted for reporting delays. Due to ongoing reporting and case ascertainment activities case data continually changes over time. New HIV diagnoses Data: Data represent persons newly diagnosed with HIV in the City of Chicago between 2016 and 2020 and who were entered as of 02/21/2022. Census tracts were assigned based on residence at diagnosis. Homeless cases and those cases missing an address at diagnosis were omitted. Data have not been adjusted for reporting delays. Due to ongoing reporting and case ascertainment activities case data continually changes over time.
Philadelphia	Prevalence Data: Data represent persons living with HIV in the City of Philadelphia census tracts at the end of 2020 and who were reported as of 06/30/2021. Census tracts were assigned based on most recent known address (when available), or earliest residence reported, and are not displayed if counts are less than 6. New HIV diagnoses Data: Data represent persons newly diagnosed with HIV in the City of Philadelphia census tracts between 2016 and 2020 and who were reported as of 06/30/2021. Census tracts were assigned based on residence at diagnosis. Any use of AIDSVu Philadelphia city-level data, including but not limited to the map and/or city profile, is only permitted through exclusive permission from the Philadelphia Department of Public Health (PDPH). If you would like to use our data for publication or analysis, please submit a request for review at aacoepi@phila.gov for AIDS Activities Coordinating Office divisional review and approval, and review by the PDPH Health Commissioner’s Office. AIDSVu data may differ from locally published data (i.e. annual surveillance reports).
Washington, DC	Prevalence Data: Data represent persons living with HIV in Washington, DC census tracts at the end of 2018 and who were diagnosed and reported as of 02/10/2020. Cases are based on most recent known address. Census tract data includes name-based cases. Cases with missing address information at diagnosis were not included in this analysis. Cases diagnosed in a correctional facility were assigned the census tract of the correctional facility. Homeless cases with addresses of a shelter at diagnosis were assigned to census tracts of the homeless shelter. A correctional warning has been provided for census tract 11001006804. New HIV diagnoses Data: Data represent persons newly diagnosed with HIV in Washington, DC census tracts between 2014 and 2018 and who were diagnosed and reported as of 02/10/2020. Census tract data includes name-based cases. Cases with missing address information at diagnosis were not included in this analysis. Cases diagnosed in a correctional facility were assigned the census tract of the correctional facility. Homeless cases with addresses of a shelter at diagnosis were assigned to census tracts of the homeless shelter. A correctional warning has been provided for census tract 11001006804.

Data Sources for Census Tract-Level Data

Data Element	Location on AIDSVu	Data Source	Anticipated Update Frequency on AIDSVu Website
Rates and Case Counts of Persons Living with HIV and Risks and Case Counts of Persons Newly Diagnosed with HIV, Census Tract Data	Maps	2020 Chicago Department of Public Health, STI/HIV Division, Surveillance, Epidemiology and Research Section 2018 District of Columbia Department of Health, HIV/AIDS, Hepatitis, STD and TB Administration 2020 Philadelphia Department of Public Health, AIDS Activities Coordinating Office	Annually
Population Denominators for Rate Calculations	Maps	U.S. Census Bureau. Population Estimates, Vintage 2014.	Based on availability of data.
HIV Testing Sites	Maps	Centers for Disease Control and Prevention, National Prevention Information Network; Customizable Data Feed; downloaded by AIDSVu May 23, 2019.	Bi-Annually
Pre-Exposure Prophylaxis (PrEP) Services	Maps	Centers for Disease Control and Prevention, National Prevention Information Network; Customizable Data Feed; downloaded by AIDSVu May 23, 2019.	Bi-Annually
Ryan White HIV/AIDS Medical Care Providers	Maps	Health Resources and Services Administration, HIV/AIDS Bureau; Data Warehouse; downloaded by AIDSVu June 14, 2019. Data Warehouse updated as of April 1, 2019.	Bi-Annually
Housing Opportunities for People with AIDS (HOPWA)	Maps	Centers for Disease Control and Prevention, National Prevention Information Network; Customizable Data Feed; downloaded by AIDSVu May 23, 2019.	Bi-Annually
NIH-Funded HIV Prevention, Vaccine and Treatment Trials Sites	Maps	National Institutes of Health, National Institute of Allergy and Infectious Diseases, Division of AIDS; Received by AIDSVu June 4, 2019. Data updated as of May 6, 2019.	Bi-Annually
Poverty (Percent of population, all ages, living in poverty) – Census Tract Level	Maps	U.S. Census Bureau, American Community Survey 5-Year Estimates, 2016-20120, Table S1701: Poverty Status in the Past 12 Months	Annually
Educational Attainment (Percent of people over age 25 with at least a high school diploma or equivalent) – Census Tract Level	Maps	U.S. Census Bureau, American Community Survey 5-Year Estimates, 2016-2012020, Table S1501: Educational Attainment	Annually
Median Household Income – Census Tract Level	Maps	U.S. Census Bureau, American Community Survey 5-Year Estimates, 2015-2020, Table S1903: Median Income in the Past 12 Months	Annually
Gini Coefficient of income inequality – Census Tract Level	Maps	U.S. Census Bureau, American Community Survey 5-Year Estimates, 2016-2020, Table B19083: Gini Index of Income Inequality	Annually
Severe Housing Cost Burden – Census Tract Level	Maps	U.S. Census Bureau, American Community Survey 5-Year Estimates, 2016-20120, Table B25074: Household Income by Gross Rent as a Percentage of Household Income in the Past 12 Months and Table B25095: Household Income by Selected Monthly Owner Costs as a Percentage of Household Income in the Past 12 Months.	Annually

Community Area/Ward Data

To permit the display of community area/ward-level HIV prevalence and new HIV diagnoses data, AIDSVu obtained a data release agreement with the public health departments overseeing HIV surveillance in Chicago and Washington, DC. In Chicago, these areas are defined as “community areas”, and in Washington, DC, they are defined as wards. Data were obtained directly from the public health departments and not from CDC because CDC does not collect street addresses for reported cases, and street addresses are required for mapping at the community area/ward level. Community area/ward-level data are not directly comparable to the state- and county-level HIV data also displayed on AIDSVu because the data are not obtained directly from CDC.

Each public health department defined the geographic area (e.g., community area/ward) in their jurisdiction for which they desired to display data on AIDSVu. Community area/ward-level HIV surveillance data reflect the reported most recent known address for persons living with HIV in the defined area. Residence at diagnosis was used for new HIV diagnoses. One-year prevalence rates and case counts were reported from January 1, 2020 to December 31, 2020 and five-year new HIV diagnoses case counts were reported from January 1, 2016 to December 31, 2020. For more information on how these three jurisdictions handle the assignment of a community area/ward to cases missing an address, see the Jurisdiction-Specific Data Caveats table below. Denominators used to calculate rates for community area/ward were obtained from the U.S. Census Bureau’s 2010 census of census tracts that make up the defined areas in Chicago and Washington, DC.

Data Stratification

AIDSVu allows viewers to look at community area/ward-level HIV rate and case counts of prevalence data, five-year combined cases of new HIV diagnoses data at the overall geographic level, and by race/ethnicity, sex, and age groups. The Black and White race groups are non-Hispanic, and the Hispanic/Latino ethnicity is inclusive of all races. Washington, DC also includes Asian/Pacific Islander race group. Sex was defined as “sex at birth.” Cases were assigned to age groups based on age at the end of 2020 for prevalence and age at time of initial diagnosis for new HIV diagnoses for new HIV diagnoses. Caution should be exercised when viewing and interpreting the community area/ward maps because the scales change across the different demographic breakdowns.

Corrections Warning

Rates of persons living with HIV were calculated per 100,000 population to permit data standardization and comparison. For areas that house correctional institutions, caution should be exercised when interpreting the data as these statistics are inclusive of institutional populations and their inclusion may artificially inflate the rate and case count of an area outside of the institution. To determine if a specific community area/ward meets this criterion, place the mouse cursor over the area and, in the balloon that appears, there will be a message noting that a rate meets this condition, if applicable.

Data Suppression and Rate Stability

To protect the confidentiality of persons living with an HIV/AIDS diagnosis, AIDSVu does not display rates and case counts for community areas or wards when the numerator (number of persons living with diagnosed HIV) is less than five and/or the denominator (number of people in the community area or ward in that population group) is less than 500. Community areas and wards appear white when one or both of these conditions are met (see footnote below map scale). As is standard in the display of health statistics, rates generated from a numerator less than 12 are considered unstable and should be interpreted with caution. Because rates are not displayed when the numerator is less than five, the “unstable rate” indicator will only be displayed when the numerator is five or greater, but less than 12.

Ranges/Legend Values

Range intervals were initially developed by collapsing AIDSVu ZIP Code-level deciles into quintiles and are based on the combined data of all AIDSVu maps at the ZIP Code-level. Set cut points are based on these quintiles for prevalence and new diagnoses data. In order to illustrate the variation in the data, ranges were developed specific to each grouping (i.e., overall, by race/ethnicity, by sex, and by age group). Thus, a total of eight sets of map scales exist for prevalence (rate and count, both by overall/race/sex/age), and a total of four sets of map scales exist for new HIV diagnoses (count by overall/race/sex/age).

Social Determinants of Health

Social determinants of health are not displayed for the community area/ward maps because they are not made available by U.S. Census at these geographical levels.

Jurisdiction-Specific Data Caveats for Neighborhood/Community Area/Ward-Level Data

Jurisdiction

Data Caveats

Chicago Community Areas

Prevalence Data: Data represent persons living with HIV in the City of Chicago at the end of 2020 and who were reported as of 02/21/2022. Community areas are derived from census tracts. Community areas were assigned based on most recent current reported residence. Homeless cases and those cases missing an address were omitted. Data have not been adjusted for reporting delays. Due to ongoing reporting and case ascertainment activities case data continually changes over time.

New HIV diagnoses Data: Data represent persons newly diagnosed with HIV in the City of Chicago between 2016 and 2020 and who were entered as of 02/21/2022. Community areas are derived from census tracts. Community areas were assigned based on residence at diagnosis. Homeless cases and those cases missing an address were omitted. Data have not been adjusted for reporting delays. Due to ongoing reporting and case ascertainment activities case data continually changes over time.

Washington, DC Wards

Prevalence Data: Data represent persons living with HIV in Washington, DC Wards at the end of 2018 and who were diagnosed and reported as of 02/10/2020. Ward data includes name-based cases. Cases are based on most recent known address. Cases with missing address information were not included in this analysis. Cases diagnosed in a correctional facility were assigned the wards of the correctional facility. Homeless cases with addresses of a shelter at diagnosis were assigned to the ward of the homeless shelter. A correctional warning has been provided for ward 7.

New HIV diagnoses Data: Data represent persons newly diagnosed with HIV in Washington, DC Wards, between 2014 and 2018 and who were diagnosed and reported as of 02/10/2020. Ward data includes name-based cases. Cases with missing address information at diagnosis were not included in this analysis. Cases diagnosed in a correctional facility were assigned the wards of the correctional facility. Homeless cases with addresses of a shelter at diagnosis were assigned to the ward of the homeless shelter. A correctional warning has been provided for ward 7.

Data Sources

Data Element	Location on AIDSVu	Data Source	Anticipated Update Frequency on AIDSVu Website
Rates and Case Counts of Persons Living with HIV and Case Counts of Persons Newly Diagnosed with HIV, Community Area/Ward Data	Maps	2020 Chicago Department of Public Health, STI/HIV Division, Surveillance, Epidemiology and Research Section 2018 District of Columbia Department of Health, HIV/AIDS, Hepatitis, STD and TB Administration	Annually
Population Denominators for Rate Calculations	Maps	U.S. Census Bureau. Population Estimates, Vintage 2014.	Based on availability of data.
HIV Testing Sites	Maps	Centers for Disease Control and Prevention, National Prevention Information Network; Customizable Data Feed; downloaded by AIDSVu May 23, 2019.	Bi-Annually
Pre-Exposure Prophylaxis (PrEP) Services	Maps	Centers for Disease Control and Prevention, National Prevention Information Network; Customizable Data Feed; downloaded by AIDSVu May 23, 2019.	Bi-Annually
Ryan White HIV/AIDS Medical Care Providers	Maps	Health Resources and Services Administration, HIV/AIDS Bureau; Data Warehouse; downloaded by AIDSVu June 14, 2019. Data Warehouse updated as of April 1, 2019.	Bi-Annually
Housing Opportunities for People with AIDS (HOPWA)	Maps	Centers for Disease Control and Prevention, National Prevention Information Network; Customizable Data Feed; downloaded by AIDSVu May 23, 2019.	Bi-Annually
NIH-Funded HIV Prevention, Vaccine and Treatment Trials Sites	Maps	National Institutes of Health, National Institute of Allergy and Infectious Diseases, Division of AIDS; Received by AIDSVu June 4, 2019. Data updated as of May 6, 2019.	Bi-Annually

City Profile Page Data

To permit the display of aggregate HIV prevalence, new HIV diagnoses, and HIV continuum data for the city profile page, AIDSVu obtained a data release agreement with health departments overseeing HIV surveillance in the following cities: Atlanta, Austin, Baltimore, Baton Rouge, Birmingham, Boston, Bridgeport, Charleston, Charlotte, Chicago, Columbia, Dallas, Denver, Detroit, Fort Lauderdale, Fort Worth, Hampton Roads, Hartford, Houston, Jackson, Jacksonville, Jersey City, Las Vegas, Memphis, Miami, Milwaukee, Minneapolis, Mobile, Montgomery, Nashville, New Haven, New Orleans, New York City, Newark, Orange County, Orlando, Philadelphia, Phoenix, Providence, Raleigh, Richmond, San Antonio, San Francisco, San Juan, Seattle, Tampa, Washington, DC, and West Palm Beach. The city profile page and the state profile page for Washington, DC are linked and show the same information, because the city comprises the entire District of Columbia. San Diego has opted to no longer provide new data for the profile page; therefore 2017 data will remain on the profile page. The remaining cities of Cincinnati, Cleveland, Columbus, Los Angeles and Oakland/Alameda have opted out of providing city profile page data.

Data Sources

Data Element	Data Source	Anticipated Update Frequency on AIDSVu Website
City Highlights	2020 City HIV Prevalence, New Diagnoses, Late Diagnoses, Linkage to Care, Receipt of Care, Viral Suppression, and Mortality Data: City and state health departments. 2019 State Mortality Data: Centers for Disease Control and Prevention, Division of HIV/AIDS Prevention, HIV Incidence and Case Surveillance Branch; February, 2021.	Annually
Demographics, Total City Population, 2010	U.S. Census Bureau. Population Estimates, Vintage 2014. *The city population sizes reflect the area that is mapped on AIDSVu and not the population size for the metro statistical area.	Based on availability of data.
People Living with HIV, 2020	2020 City Prevalence Data: City, county, and state health departments. 2019 State, Regional, and National Prevalence Data: Centers for Disease Control and Prevention, Division of HIV/AIDS Prevention, HIV Incidence and Case Surveillance Branch; Data Request, February, 2021.
People Newly Diagnosed with HIV, 2020	2020 City New Diagnoses Data: City, county, and state health departments. 2019 State, Regional, and National New Diagnoses Data: Centers for Disease Control and Prevention, Division of HIV/AIDS Prevention, HIV Incidence and Case Surveillance Branch; Data Request, February, 2021.	Annually
Estimated HIV Prevalence Rate Ratios by Race/Ethnicity, 2020	City, county, and state health departments.	Annually
Number of Transgender People Living with HIV, 2020	City New Diagnoses: City, county, and state health departments.	Annually
Estimated Percent of AIDS Diagnoses Within 3 Months of Initial HIV Diagnosis, 2020	City, county, and state health departments.	Annually
Estimated Percent of Persons Living with HIV, by Transmission Category, 2020	City, county, and state health departments.	Annually
5-Year Combined Percent of New HIV Diagnoses, by Transmission Category, 2016-2020	City, county, and state health departments.	Annually
Poverty (Percent of population, all ages, living in poverty) – MSA, State, Region, and National Level	U.S. Census Bureau, American Community Survey 5-Year Estimates, 2016-20120, Table S1701: Poverty Status in the Past 12 Months	Annually
Educational Attainment (Percent of people over age 25 with at least a high school diploma or equivalent) – MSA, State, Region, and National Level	U.S. Census Bureau, American Community Survey 5-Year Estimates, 2016-2012020, Table S1501: Educational Attainment	Annually
Median Household Income – MSA, State, Region, and National Level	U.S. Census Bureau, American Community Survey 5-Year Estimates, 2015-2020, Table S1903: Median Income in the Past 12 Months	Annually
Gini Coefficient of income inequality – MSA, State, Region, and National Level	U.S. Census Bureau, American Community Survey 5-Year Estimates, 2016-2020, Table B19083: Gini Index of Income Inequality	Annually
Severe Housing Cost Burden – MSA, State, Region, and National Level	U.S. Census Bureau, American Community Survey 5-Year Estimates, 2016 -2020, Table B25074: Household Income by Gross Rent as a Percentage of Household Income in the Past 12 Months and Table B25095: Household Income by Selected Monthly Owner Costs as a Percentage of Household Income in the Past 12 Months.	Annually
Unemployment – MSA, State, Region, and National Level	U.S. Bureau of Labor Statistics Annual Unemployment Rates, 20 20	Annually
Sexually Transmitted Diseases, 2019	City. Centers for Disease Control and Prevention, Sexually Transmitted Diseases Surveillance, 2019. State, Regional, and National. Centers for Disease Control and Prevention. NCHHSTP AtlasPlus. Updated 2021. Accessed in August 2021.	Annually

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