About AIDSVu
AIDSVu is a leading, free resource for visualizing the HIV epidemic in the United States 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 level, we also map HIV mortality data and data on PrEP use. 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 and state 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.
Definitions
Prevalence Data: The data reflect persons living with HIV infection or persons living with HIV infection ever classified as stage 3 (AIDS) at the end of 2017. The map title “Persons Living with HIV” has been used to encompass persons living with HIV and persons living with HIV infection ever classified as AIDS. Cases are based on most recent known address.
New HIV Diagnoses Data: The data reflect persons 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. 2013-2017). The map title “Persons Newly Diagnosed with HIV” has been used to encompass persons newly diagnosed with HIV and/or AIDS.
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, Birmingham, Baton Rouge, Bridgeport, Charlotte, Chicago, Columbia, Dallas, Denver, Detroit, Fort Lauderdale, Hampton Roads, Hartford, Houston, Jackson, Jacksonville, Las Vegas, Memphis, Miami, Milwaukee, Nashville, Newark, New Haven, New Orleans, New York City, Orlando, Philadelphia, Raleigh, Richmond, 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 were reported from January 1, 2017 to December 31, 2017 and five-year new HIV diagnoses case counts were reported from January 1, 2013 to December 31, 2017. 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. 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 ZIP Code-level HIV rates and case counts of prevalence data and five-year combined cases of new HIV diagnoses data at the overall geographic level, and by race/ethnicity, sex, and age groups. The Black, White, and Asian race groups are non-Hispanic, and the Hispanic/Latino 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 2017 for prevalence and age at time of initial diagnosis for new HIV diagnoses. 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 and 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 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 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 deciles in SAS analytic software (SAS Institute, Cary, NC). Set cut points were derived using rounded deciles from the previous year, when previous year data were available. 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), and a total of four sets of map scales exist for new HIV diagnoses (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. Therefore, there are four additional ranges for these data (i.e., four social determinants for overall ZIP Code level). Poverty (percent of population living in poverty), high school education (percent of population with a high school degree or equivalent), median household income, and income inequality (measured by the Gini Coefficient, a measure of income inequality where 0 reflects complete equality and 1 reflects complete inequality) are available at the ZIP Code level. The U.S. Census Bureau does not publish data for all ZIP Codes; 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 2017 and who were entered as of 7/2/2018. 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 2013 and 2017 and who were entered as of 7/2/2018. 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. |
| Austin, TX | Prevalence Data: Data represent persons living with HIV in ZIP Codes in the Austin MSA at the end of 2017 and who were reported as of 10/10/2018. 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 2013 and 2017 and who were reported as of 10/10/2018. 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. |
| 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 2017 and who were reported as of 06/30/2018. 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 2013 and 2017 and who were reported as of 06/30/2018. Cases are based on residence at diagnosis. Data have not been adjusted for reporting delays. |
| Baton Rouge, LA | Prevalence Data: Data represent persons living with HIV in Baton Rouge at the end of 2017 and who were entered as of 10/17/2018. 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 2013 and 2017 and who were entered as of 10/17/2018. Cases are based on residence at diagnosis. 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 2017 and who were entered as of 10/10/2018. 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 2013 and 2017 and who were entered as of 10/10/2018. Cases are based on residence at diagnosis. Data have not been adjusted for reporting delays. |
| Bridgeport, 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 2017 and who were reported as of 12/21/2018. (Cases missing a ZIP Code at last known residence were omitted). Data have not been adjusted for reporting delays.
New HIV diagnoses Data: Data represent persons newly diagnosed with HIV in Fairfield County between 2013 and 2017 and were reported as of 12/21/18. 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. |
| 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 2017 and who were reported through 06/27/2018. 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 2013 and 2017 and who were reported as of 06/27/2018. 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. |
| Chicago, IL | Prevalence Data: Data represent persons living with HIV in the City of Chicago at the end of 2017 and who were reported as of 01/01/2018. 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 2013 and 2017 and who were entered as of 01/01/2018. 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. |
| 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 2017 and who were reported as of 10/03/2018. 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 2013 and 2017 and who were reported as of 10/03/2018. ZIP Codes displayed are for Columbia MSA and includes ZIP Codes outside of the city of Columbia proper. People with unknown transmission category were excluded from analysis. Cases are based on residence at diagnosis. Data have not been adjusted for reporting delays. |
| Dallas, TX | Prevalence Data: Data represent persons living with HIV in ZIP Codes in the Dallas MSA at the end of 2017 and who were reported as of 10/10/2018. 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 2013 and 2017 and who were reported as of 10/10/2018. 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. |
| Denver, CO | Prevalence Data: Data represent persons living with HIV in Denver, Arapahoe, Jefferson, Adams and Douglas Counties at the end of 2017 and who were reported as of 09/30/2018. 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 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 2013 and 2017 and who were entered as of 09/30/2018. 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. |
| Detroit, MI | Prevalence Data: Data represent persons living with HIV in Wayne County at the end of 2017 and who were reported as of 09/30/2018. Persons included were living in Wayne County with diagnosed HIV in 2017 and diagnosed between 1981 and 2017. Cases are based on most recent known address. Cases missing a ZIP Code (including homeless persons) are few (22 cases) and not included. Corrections facilities in Wayne County 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 Wayne County, 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 Wayne County between 2013 and 2017 and who were reported as of 09/30/2018. Cases are based on residence at diagnosis. Corrections facilities in Wayne County 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 Wayne County, 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. |
| 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 2017 and reported as of 06/30/2018. Cases are based on most recent known address. Data for 2017 are based on 6 months reporting delay.
New HIV diagnoses: Data represent persons newly diagnosed with HIV in Broward County (a division in the Miami MSA) between 2013 and 2017 and who were reported as of 06/30/2018. Cases are based on residence at diagnosis. Data for 2017 are based on 6 months reporting delay. Cases from department of corrections and federal correctional institutions are excluded from analysis. |
| 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 2017 and who were reported through 12/21/2018. (Cases missing a ZIP Code at last known residence were omitted). Data have not been adjusted for reporting delays.
New HIV diagnoses Data: Data represent persons newly diagnosed with HIV in the Hartford MSA between 2013 and 2017 and were reported as of 12/21/18. 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. |
| Hampton Roads, VA | Prevalence Data: Data represent persons living with HIV in the Virginia Beach-Norfolk-Newport News MSA at the end of 2017 and who were reported through 10/19/2018. 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 2013 and 2017 and who were reported through 10/19/2018. 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. |
| Houston/Harris County, TX | Prevalence: Data represent persons living with HIV in the city of Houston and/or Harris County at the end of 2017 and who were reported through 01/01/19. 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 2013 and 2017 and who were reported through 01/01/19. 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. |
| 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 2017 and reported as of 09/06/2018. 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 2013 and 2017 and who were reported as of 09/06/2018. 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, Duval, Nassau, and St. Johns Counties at the end of 2017 and reported as of 06/30/2018. Cases are based on most recent known address. Data for 2017 are based on 6 months reporting delay.
New HIV diagnoses Data: Data represent persons newly diagnosed with HIV in Baker, Duval, Nassau, and St. Johns Counties between 2013 and 2017 and who were reported as of 06/30/2018. Cases are based on residence at diagnosis. Data for 2017 are based on 6 months reporting delay. Cases from department of corrections and federal correctional institutions are excluded from analysis. |
| Las Vegas, NV | Prevalence Data: Data represent persons living with HIV in Clark County at the end of 2017 and who were entered as of 03/15/2018. 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 2013 and 2017 and who were entered as of 03/15/2018. 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. |
| Memphis, TN | Prevalence Data: Data represent persons living with HIV in Shelby County at the end of 2017 and who were reported as of 07/20/2018. 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 2013 and 2017 and who were reported as of 07/20/2018. 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 2017 and reported as of 06/30/2018. Cases are based on most recent known address. Data for 2017 are based on 6 months reporting delay.
New HIV diagnoses Data: Data represent persons newly diagnosed with HIV in Miami-Dade County (a division in the Miami MSA) between 2013 and 2017 and who were reported as of 06/30/2018. Cases are based on residence at diagnosis. Data for 2017 are based on 6 months reporting delay. Cases from department of corrections and federal correctional institutions are excluded from analysis. |
| Milwaukee, WI | Prevalence Data: Data represent persons living with HIV at the end of 2017, who had a ZIP Code fully or partially within Milwaukee County and who were reported as of 10/02/2018. 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 2013 and 2017, and who were reported by 10/02/2018. 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. |
| Nashville, TN
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Prevalence Data: Data represent persons living with HIV in Davidson County at the end of 2017 and who were reported as of 07/20/2018. 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 2013 and 2017 and who were reported as of 07/20/2018. 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 in New Haven County based on last known residence (including correctional facilities), that had a valid zip code at the end of 2017 and who were reported through 12/21/2018. (Cases missing a ZIP Code at last known residence were omitted). Data have not been adjusted for reporting delays.
New HIV diagnoses Data: Data represent persons newly diagnosed with HIV in New Haven County between 2013 and 2017 and were reported as of 12/21/18. 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. |
| New Orleans, LA | Prevalence Data: Data represent persons living with HIV in Orleans and Jefferson Parishes at the end of 2017 and who were entered as of 10/17/2018. Cases are based on most recent known address. Data have not been adjusted for reporting delays.
New HIV diagnoses: Data represent persons newly diagnosed with HIV in Orleans and Jefferson Parishes between 2013 and 2017 and who were entered as of 10/17/2018. Cases are based on residence at diagnosis. 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 12/31/2017 and who were reported to the NYC Department of Health and Mental Hygiene as of 09/30/2018. 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 2013 and 2017 and who were reported to the NYC Department of Health and Mental Hygiene as of 09/30/2018. 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. |
| Newark, NJ | Prevalence Data: Data represent persons living with HIV in the City of Newark at the end of 2017 and who were reported as of 09/30/2018. 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 represent persons newly diagnosed with HIV in the City of Newark between 2013 and 2017 and who were reported as of 09/30/2018. 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. |
| Orlando, FL | Prevalence Data: Data represent persons living with HIV in Lake, Orange, Osceola and Seminole Counties at the end of 2017 as of 06/30/2018. Cases are based on most recent known address. Data for 2017 are based on 6 months reporting delay.
New HIV diagnoses Data: Data represent persons newly diagnosed with HIV in Lake, Orange, Osceola and Seminole Counties between 2013 and 2017 and who were reported as of 06/30/2018. Cases are based on residence at diagnosis. Data for 2017 are based on 6 months reporting delay. Cases from department of corrections and federal correctional institutions are excluded from analysis. |
| Philadelphia, PA | Prevalence Data: Data represent persons living with HIV in the City of Philadelphia at the end of 2017 and who were reported as of 06/30/2018. 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 2013 and 2017 and who were reported as of 06/30/2018. 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. |
| 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 2017 who were reported through 06/27/2018. 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 2013 and 2017 who were reported as of 06/27/2018. 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. |
| Richmond, VA | Prevalence Data: Data represent persons living with HIV in the Richmond MSA at the end of 2017 and who were reported through 10/19/2018. 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 2013 and 2017 and who were reported through 10/19/2018. 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 include23038, 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. |
| San Francisco, CA | Prevalence Data: Data represent persons living with HIV in the City and County of San Francisco at the end of 2017 and who were reported as of 11/01/2018. 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 2013 and 2017 and who were reported as of 11/01/2018. 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 2013 and 2017 and who were reported as of 11/01/2018. 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. All data regarding HIV prevalence, mortality, and newly diagnosed persons aligns with the data released in the 2017 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 2017 and who were reported as of 09/30/2018. 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 2013 and 2017 and who were reported as of 09/30/2018. 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 2017, based on surveillance reports provided to the Washington State Department of Health as of 06/31/2018. 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 2013 and 2017, based on surveillance reports provided to the Washington State Department of Health as of 06/31/2018. 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.
|
| Tampa, FL | Prevalence Data: Data represent persons living with HIV in Hernando, Hillsborough, Pasco and Pinellas Counties at the end of 2017 and reported as of 06/30/2018. Cases are based on most recent known address. Data for 2017 are based on 6 months reporting delay..
New HIV diagnoses Data: Data represent persons newly diagnosed with HIV in Hernando, Hillsborough, Pasco and Pinellas Counties between 2013 and 2017 and who were reported as of 06/30/2018. Cases are based on residence at diagnosis. Data for 2017 are based on 6 months reporting delay. Cases from department of corrections and federal correctional institutions are excluded from analysis. |
| Washington, DC | Prevalence Data: Data represent persons living with HIV in Washington, DC at the end of 2017 and who were diagnosed and reported as of 10/16/2018. 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, census tract 11001006804, and ward 7.
New HIV diagnoses Data: Data represent persons newly diagnosed with HIV in Washington, DC, between 2013 and 2017 and who were diagnosed and reported as of 10/16/2018. 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, census tract 11001006804, and ward 7. |
| 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 2017 and reported as of 06/30/2018. Cases are based on most recent known address. ZIP Code data include name-based cases. Data for 2017 are based on 6 months reporting delay.
New HIV diagnoses Data: Data represent persons newly diagnosed with HIV in Palm Beach County (a division in the Miami MSA) between 2013 and 2017 and who were reported as of 06/30/2018. Cases are based on residence at diagnosis. ZIP Code data include name-based cases. Data for 2017 are based on 6 months reporting delay. Cases from department of corrections and federal correctional institutions are excluded from analysis. |
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 Case Counts of Persons Newly Diagnosed with HIV, ZIP Code Data | Maps | Alabama Department of Public Health, Division of STD Prevention and Control, HIV Surveillance Branch
California Department of Public Health, Surveillance, Research, and Evaluation Branch, Office of AIDS
Chicago Department of Public Health, STI/HIV Division, Surveillance, Epidemiology and Research Section
Colorado Department of Public Health and Environment, Disease Control and Environmental Epidemiology Division, STI/HIV/Viral Hepatitis Branch
Connecticut Department of Public Health, HIV/AIDS Surveillance Program
District of Columbia Department of Health, HIV/AIDS, Hepatitis, STD and TB Administration
Florida Department of Health, Bureau of Communicable Disease, HIV/AIDS Section
Georgia Department of Public Health, Division of Health Protection, Epidemiology Program, HIV/AIDS Epidemiology Section
Houston Department of Health and Human Services, Office of Surveillance and Public Health Preparedness
Los Angeles County Department of Public Health, Division of HIV and STD Programs
Louisiana Department of Health and Hospitals, Office of Public Health, STD/HIV Program
Maryland Department of Health and Mental Hygiene, Infectious Disease Epidemiology and Outbreak Response Bureau, Center for HIV Surveillance, Epidemiology and Evaluation
Massachusetts Department of Public Health, HIV/AIDS Surveillance Program
Michigan Department of Health and Human Services, Michigan HIV/STD, Body Art, Tuberculosis, and Viral Hepatitis Section
Mississippi State Department of Health, STD/HIV Office
Department of Health and Human Services, Nevada Division of Public and Behavioral Health, Office of Public Health Informatics and Epidemiology
New Jersey Department of Health and Senior Services, Division of HIV/AIDS Services
New York City Department of Health and Mental Hygiene, HIV Epidemiology and Field Services Program
North Carolina Department of Health and Human Services, Communicable Disease Branch
Philadelphia Department of Public Health , AIDS Activities Coordinating Office
Puerto Rico Department of Public Health, Division of HIV/AIDS
San Francisco Department of Public Health, Applied Research, Community Health Epidemiology, and Surveillance Branch, HIV Surveillance Unit
South Carolina Department of Health and Environmental Control, Bureau of Disease Control, Division of Surveillance and Technical Support
Tennessee State Department of Health, HIV/STD/VH Surveillance and Epidemiology Program
Texas Department of State Health Services, TB/HIV/STD Epidemiology & Surveillance Group
Virginia Department of Health, Division of Disease Prevention, HIV Surveillance Unit
Infectious Disease Assessment Unit, Disease Control and Statistics, Washington State Department of Health Wisconsin Department of Health Services, Division of Public Health, AIDS/HIV Program |
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) – ZIP Code Level | Maps | U.S. Census Bureau, American Community Survey 5-Year Estimates, 2013-2017, 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) – ZIP Code Level | Maps | U.S. Census Bureau, American Community Survey 5-Year Estimates, 2013-2017, Table S1501: Educational Attainment | Annually |
| Median Household Income – ZIP Code Level | Maps | U.S. Census Bureau, American Community Survey 5-Year Estimates, 2013-2017, Table S1903: Median Income in the Past 12 Months | Annually |
| Gini Coefficient of income inequality – ZIP Code Level | Maps | U.S. Census Bureau, American Community Survey 5-Year Estimates, 2013-2017, Table B19083: Gini Index of Income Inequality | 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, 2017 to December 31, 2017 and five-year new HIV diagnoses case counts were reported from January 1, 2013 to December 31, 2017, 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, 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/Latinx ethnicity is inclusive of all races. Data for Asian 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 2017 for prevalence and 2017 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 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 deciles in SAS analytic software (SAS Institute, Cary, NC). Set cut points for prevalence rates and counts were derived using rounded deciles from the previous year. 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 a total of four sets of map scales exist for new HIV diagnoses (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 the previous year were used to develop the rounded set cut points for this year. Therefore, there are four additional ranges for these data (i.e., four social determinants for overall census tract level). Poverty (percent of population living in poverty), high school education (percent of population with a high school degree or equivalent), median household income, 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 2017 and who were reported as of 01/01/2018. 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 2013 and 2017 and who were entered as of 01/01/2018. 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 2017 and who were reported as of 06/30/2018. 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 2013 and 2017 and who were reported as of 06/30/2018. Census tracts were assigned based on residence at diagnosis (when available), or earliest residence reported and are not displayed if counts are less than 6. |
| Washington, DC | Prevalence Data: Data represent persons living with HIV in Washington, DC census tracts at the end of 2017 and who were diagnosed and reported as of 10/16/2018. 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 ZIP Code 20003, census tract 11001006804, and ward 7.
New HIV diagnoses Data: Data represent persons newly diagnosed with HIV in Washington, DC census tracts between 2013 and 2017 and who were diagnosed and reported as of 10/16/2018. 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 ZIP Code 20003, census tract 11001006804, and ward 7. |
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 Case Counts of Persons Newly Diagnosed with HIV , Census Tract Data | Maps | Chicago Department of Public Health, STI/HIV Division, Surveillance, Epidemiology and Research Section
District of Columbia Department of Health, HIV/AIDS, Hepatitis, STD and TB Administration
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, 2012-2016, 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, 2012-2016, Table S1501: Educational Attainment | Annually |
| Median Household Income – Census Tract Level | Maps | U.S. Census Bureau, American Community Survey 5-Year Estimates, 2012-2016, 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, 2012-2016, Table B19083: Gini Index of Income Inequality | 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, 2017 to December 31, 2017 and five-year new HIV diagnoses case counts were reported from January 1, 2013 to December 31, 2017. 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 2017 for prevalence and 2017 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 2017 and who were reported as of 01/01/2018. 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 2013 and 2017 and who were entered as of 01/01/2018. 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 2017 and who were diagnosed and reported as of 10/16/2018. 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 ZIP Code 20003, census tract 11001006804, and ward 7.
New HIV diagnoses Data: Data represent persons newly diagnosed with HIV in Washington, DC Wards, between 2013 and 2017 and who were diagnosed and reported as of 10/16/2018. 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 ZIP Code 20003, census tract 11001006804, and 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 | Chicago Department of Public Health, STI/HIV Division, Surveillance, Epidemiology and Research Section
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 and new HIV diagnoses data for the city profile page, AIDSVu obtained a data release agreement with health departments overseeing HIV surveillance in the following 36 cities: Atlanta, Austin, Baltimore, Baton Rouge, Birmingham, Bridgeport, Charlotte, Chicago, Columbia, Dallas, Denver, Detroit, Fort Lauderdale, Hampton Roads, Hartford, Houston, Jackson, Jacksonville, Las Vegas, Memphis, Miami, Milwaukee, Nashville, Newark, New Haven, New Orleans, New York City, Orlando, Philadelphia, Raleigh, Richmond, San Francisco, San Juan, Seattle, Tampa, and West Palm Beach. The city profile page for Washington, DC is labeled as a state profile page, because the city comprises the entire District of Columbia. The remaining cities of Boston, Los Angeles, Oakland, and San Diego have opted out of providing city profile page data.
Data Sources
| Data Element | Data Source | Anticipated Update Frequency on AIDSVu Website |
| City Highlights | City Prevalence Data, New Diagnoses Data, and Mortality Data: City, county, and state health departments.
State Mortality Data: Centers for Disease Control and Prevention, Division of HIV/AIDS Prevention, HIV Incidence and Case Surveillance Branch; Data Request, January 2016. |
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. |
| Estimated HIV Prevalence Rate Ratios by Race/Ethnicity, 2017 | City, county, and state health departments. | Annually |
| Estimated Number of New HIV Diagnoses, 2013-2017 | City New Diagnoses: City, county, and state health departments.
State New Diagnoses: Centers for Disease Control and Prevention, Division of HIV/AIDS Prevention, HIV Incidence and Case Surveillance Branch; Data Request, January 2016. |
Annually |
| Estimated Percent of AIDS Diagnoses Within 3 Months of Initial HIV Diagnosis, 2017 | City, county, and state health departments. | Annually |
| Estimated Percent of Persons Living with HIV, by Transmission Category, 2017 | City, county, and state health departments. | Annually |
| 5-Year Combined Percent of New HIV Diagnoses, by Transmission Category, 2013-2017 | City, county, and state health departments. | Annually |
| Estimated Number of Persons Living with HIV, who Identify as Transgender, 2016 | City, county, and state health departments. | Annually |
| Sexually Transmitted Diseases, 2017 | Centers for Disease Control and Prevention, Sexually Transmitted Diseases Surveillance, by MSA. | Annually |
