Data Methods – ZIP Code, Census Tract, Community Area/Neighborhood/Ward
About AIDSVu
AIDSVu is an interactive online map illustrating the prevalence of HIV in the United States. The national, state and local map views on AIDSVu allow users to visually explore the HIV epidemic alongside critical resources such as HIV testing center locations, HIV treatment center locations, and NIH-Funded HIV Prevention & Vaccine Trials Sites. The map also lets users filter HIV prevalence data by race/ethnicity, sex and age, and see how HIV prevalence is related to various social determinants of health, such as educational attainment and poverty.
Expand one of the categories below to learn more about the data methods and sources for the ZIP Code, census tract, and neighborhood/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 diagnosed HIV infection or persons living with diagnosed HIV infection ever classified as stage 3 (AIDS) at the end of 2015. The map title “Persons Living with Diagnosed HIV” has been used to encompass persons living with diagnosed HIV and persons living with diagnosed 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 5-year time period (i.e. 2011-2015). 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, Baton Rouge, Birmingham, Boston, Bridgeport, Charlotte, Chicago, Columbia, Dallas, Denver, Detroit, Fort Lauderdale, Hampton Roads, Hartford, Houston, Jackson, Jacksonville, Las Vegas, Los Angeles, Memphis, Miami, Milwaukee, Nashville, Newark, New Haven, New Orleans, New York City, Oakland, Orlando, Philadelphia, Raleigh, Richmond, 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 the 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 the 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 diagnosed HIV or AIDS in the defined geographic area. One-year prevalence rates and case counts were reported from January 1, 2015 to December 31, 2015 and five-year new HIV diagnoses case counts were reported from January 1, 2011 to December 31, 2015. 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 diagnosed HIV or AIDS 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 5-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 2015 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 diagnosed HIV or AIDS, AIDSVu does not display rates and case counts when the numerator (number of persons living with diagnosed HIV) is less than 5 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). 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 5, the “unstable rate” indicator will only display when the numerator is 5 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 4 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 ten 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 4 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 diagnosed HIV or AIDS in ZIP Codes that lie within the Atlanta MSA at the end of 2015 and who were entered as of 12/22/2016. 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 or AIDS in ZIP Codes that lie within the Atlanta MSA between 2011 and 2015 and who were entered as of 12/22/2016. 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 diagnosed HIV or AIDS in ZIP Codes in the Austin MSA at the end of 2015 and who were reported as of 03/15/2017. 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 or AIDS in ZIP Codes in Austin MSA between 2011 and 2015 and who were reported as of 03/15/2017. 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 diagnosed HIV or AIDS in Anne Arundel, Baltimore, Carroll, Harford, Howard, and Queen Anne counties and the independent city of Baltimore at the end of 2015 and who were reported as of 10/31/2016. 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 or AIDS in Anne Arundel, Baltimore, Carroll, Harford, Howard, and Queen Anne counties and the independent city of Baltimore between 2011 and 2015 and who were reported as of 10/31/2016. 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 diagnosed HIV or AIDS in Baton Rouge at the end of 2015 and who were entered as of 03/27/2017. 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 or AIDS in Baton Rouge between 2011 and 2015 and who were entered as of 03/27/2017. 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 or AIDS in Bibb, Blount, Chilton, Jefferson, Shelby, St. Clair, and Walker Counties through the end of 2014 and 2015 who were entered as of 03/01/2017. 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 or AIDS in Bibb, Blount, Chilton, Jefferson, Shelby, St. Clair, and Walker Counties between 2011 and 2015 and who were entered as of 03/01/2017. Cases are based on residence at diagnosis. Data have not been adjusted for reporting delays. |
| Boston, MA | Prevalence Data: Data represent persons living with diagnosed HIV or AIDS in Boston, MA through the end of 2015 and who were reported as of 03/01/2016. Cases are based on most recent known address. Cases with unknown ZIP Code or homeless in Boston were excluded. Individuals diagnosed while incarcerated in Boston are included. A correctional warning has been provided for every ZIP Code. Data have not been adjusted for reporting delays.
New HIV diagnoses Data: Data represent persons newly diagnosed with HIV or AIDS in Boston, MA between 2011 and 2015 and who were reported as of 03/01/2016. Cases with unknown ZIP Code or homeless in Boston at time of HIV diagnosis were excluded. Individuals diagnosed while incarcerated in Boston are included. Cases are based on residence at diagnosis. Data have not been adjusted for reporting delays. |
| Bridgeport, CT | Prevalence Data: Data represent persons living with diagnosed HIV or AIDS currently living in Fairfield County, based on last known residence, that had a valid ZIP Code at the end of 2015 and who were reported through 12/31/2016. Cases missing a ZIP Code at current address were omitted.
New HIV diagnoses Data: New HIV diagnoses data have been provided for people diagnosed with HIV with a diagnosis address containing a valid ZIP Code in Fairfield County. |
| Charlotte (Mecklenburg County), NC | Prevalence Data: Data represent persons living with diagnosed HIV or AIDS in Mecklenburg County (not just the city of Charlotte) at the end of 2015 and who were reported through 04/01/2016. 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 or AIDS in Mecklenburg County (not just the city of Charlotte) between 2011 and 2015 and who were reported as of 04/01/2016. 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 diagnosed HIV or AIDS in the City of Chicago at the end of 2015 and who were reported as of 01/03/2017. 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.
New HIV diagnoses Data: Data represent persons newly diagnosed with HIV or AIDS in the City of Chicago between 2011 and 2015 and who were entered as of 01/03/2017. 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. |
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Columbia, SC
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Prevalence Data: Data represent persons living with diagnosed HIV or AIDS in the Columbia MSA (includes ZIP Codes outside of the city of Columbia proper) at the end of 2015 and who were reported as of 03/02/2017. 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 or AIDS in the Columbia MSA (includes ZIP Codes outside of the city of Columbia proper) between 2011 and 2015 and who were reported as of 03/02/2017. 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 diagnosed HIV or AIDS in ZIP Codes in the Dallas MSA at the end of 2015 and who were reported as of 03/15/2017. 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 or AIDS in ZIP Codes in Dallas MSA between 2011 and 2015 and who were reported as of 03/15/2017. 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 diagnosed HIV or AIDS in Denver, Arapahoe, Jefferson, Adams and Douglas Counties at the end of 2015 and who were reported as of 12/31/2016. 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 campus for 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 or AIDS in Denver, Arapahoe, Jefferson, Adams and Douglas Counties between 2011 and 2015 and who were entered as of 12/31/2016. 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 campus for 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 diagnosed HIV or AIDS in Wayne County at the end of 2015 and who were reported as of 04/09/2017. Persons included were living in Wayne County with diagnosed HIV in 2014 and diagnosed between 1981 and 2014. Cases missing ZIP Code (including homeless persons) are few (32 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 or AIDS in Wayne County between 2011 and 2015 and who were reported as of 04/09/2017. Cases missing ZIP Code (including homeless persons) are few (32 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. |
| Fort Lauderdale (Broward County), FL | Prevalence Data: Data represent persons living with diagnosed HIV or AIDS in Broward County (a division in the Miami MSA) at the end of 2015 and reported as of 12/31/2016. 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 excluded from analysis.
New HIV diagnoses: Data represent persons newly diagnosed with HIV or AIDS in Broward County (a division in the Miami MSA) between 2011 and 2015 and who were reported as of 12/31/2016. 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 excluded from analysis. |
| Hartford MSA, CT | Prevalence Data: Data represent persons living with diagnosed HIV or AIDS currently living in the Hartford MSA (Hartford, Middlesex, and Tolland Counties), based on most recent known address, that had a valid ZIP Code at the end of 2015 and who were reported through 12/31/2016. Cases missing a ZIP Code at current address were omitted.
New HIV diagnoses Data: New HIV diagnoses data have been provided for people diagnosed with HIV with a diagnosis address containing a valid ZIP Code in the Hartford MSA. |
| Hampton Roads, VA | Prevalence Data: Data represent persons living with diagnosed HIV or AIDS in the Virginia Beach-Norfolk-Newport News MSA at the end of 2015 and who were reported through 02/21/2017. 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 or AIDS in the Virginia Beach-Norfolk-Newport News MSA between 2011 and 2015 and who were reported through 02/21/2017. Cases are based on last known residence in Virginia. 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, TX | Prevalence: Data represent persons living with diagnosed HIV or AIDS in the city of Houston and/or Harris County at the end of 2015 and who were reported through 04/04/17. For a ZIP Code sharing jurisdiction with Houston/Harris County and other jurisdictions, only the Houston/Harris County cases 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 or AIDS in the city of Houston and/or Harris County between 2011 and 2015 and who were reported through 04/04/17. For a ZIP Code sharing jurisdiction with Houston/Harris County and other jurisdictions, only the Houston/Harris County cases 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 diagnosed HIV or AIDS in some ZIP Codes that lie within Hinds, Madison, and Rankin Counties at the end of 2015 and reported as of 12/31/2016. 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 or AIDS in some ZIP Codes that lie within Hinds, Madison, and Rankin Counties between 2011 and 2015 and who were reported as of 12/31/2016. 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 diagnosed HIV or AIDS in Baker, Duval, Nassau, and St. Johns Counties at the end of 2015 and reported as of 12/31/2016. 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 excluded from analysis.
New HIV diagnoses Data: Data represent persons newly diagnosed with HIV or AIDS in Baker, Duval, Nassau, and St. Johns Counties between 2011 and 2015 and who were reported as of 12/31/2016. 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 excluded from analysis. |
| Las Vegas, NV | Prevalence Data: 2015 data represent persons living with diagnosed HIV or AIDS in Clark County at the end of 2015 and who were entered as of 03/02/2015. 2015 data represent persons living with diagnosed HIV or AIDS in Clark County at the end of 2015 and who were entered as of 03/21/2016. Cases are based on current address. Data have not been adjusted for reporting delays. A correctional warning has been provided for ZIP Codes 89018 and 89019.
New HIV diagnoses Data: Data represent persons newly diagnosed with HIV or AIDS in Clark County between 2011 and 2015 and who were entered as of 03/21/2016. Cases are based on residence at diagnosis. Data have not been adjusted for reporting delays. A correctional warning has been provided for ZIP Codes 89018 and 89019. |
| Los Angeles, CA | Prevalence Data: Data represent adults/adolescents aged 13 years and older living with diagnosed HIV infection in Los Angeles County at the end of 2015 who were reported as of 12/31/2016. ZIP Code data are based on most recent known residence in Los Angeles County. Persons missing residential ZIP Code information were excluded from analysis. Data have not been adjusted for reporting delays. A correctional warning has been provided for ZIP Codes 90012, 90731, and 93536.
New HIV diagnoses Data: Data represent adults/adolescents aged 13 years and older who were newly diagnosed with HIV infection in Los Angeles County between 2011 and 2015 and who were reported as of 12/31/2016. ZIP Code data are based on residence at the time of HIV diagnosis in Los Angeles County. Persons with missing residential information at time of diagnosis were excluded from analysis. Data have not been adjusted for reporting delays. A correctional warning has been provided for ZIP Codes 90012, 90731, and 93536. |
| Memphis, TN | Prevalence Data: Data represent persons living with diagnosed HIV or AIDS in Shelby County at the end of 2015 and who were reported as of 12/28/2016. 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 or AIDS in Shelby County between 2011 and 2015 and who were reported as of 12/28/2016. 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 diagnosed HIV or AIDS in Miami-Dade County (a division in the Miami MSA) at the end of 2015 and reported as of 12/31/2016. 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 excluded from analysis.
New HIV diagnoses Data: Data represent persons newly diagnosed with HIV or AIDS in Miami-Dade County (a division in the Miami MSA) between 2011 and 2015 and who were reported as of 12/31/2016. Cases are based on residence at diagnosis. Cases from department of corrections and federal correctional institutions are excluded from analysis. |
| Milwaukee, WI | Prevalence Data: Data represent persons living with diagnosed HIV or AIDS at the end of 2015, who had a ZIP Code fully or partially within Milwaukee County and who were reported as of 03/15/2017. 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 or AIDS, who had a ZIP Code fully or partially within Milwaukee County between 2011 and 2015, and who were reported by 03/15/2017. 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 | Prevalence Data: Data represent persons living with diagnosed HIV or AIDS in Davidson County at the end of 2015 and who were reported as of 12/28/2016. 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 or AIDS in Davidson County between 2011 and 2015 and who were reported as of 12/28/2016. 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 diagnosed HIV or AIDS currently living in New Haven County (based on most recent known address) who had a valid ZIP Code at the end of 2015 and who were reported as of 12/31/2016. Cases missing a ZIP Code at current address were omitted.
New HIV diagnoses Data: New HIV diagnoses data have been provided for people diagnosed with HIV with a diagnosis address containing a valid ZIP Code in New Haven County. |
| New Orleans, LA | Prevalence Data: Data represent persons living with diagnosed HIV or AIDS in Orleans and Jefferson Parishes at the end of 2015 and who were entered as of 03/27/2017. New Orleans experienced a significant population decrease following Hurricane Katrina in August 2005, particularly in selected ZIP Codes that experienced significant flooding. Prevalence rates in the following Orleans Parish ZIP Codes may be inflated: 70112, 70113, 70116, 70117, and 70125. Cases are based on most recent known address. Data have not been adjusted for reporting delays. A correctional warning has been provided for ZIP Code 70119.
New HIV diagnoses: Data represent persons newly diagnosed with HIV or AIDS in Orleans and Jefferson Parishes between 2011 and 2015 and who were entered as of 03/27/2017. Cases are based on residence at diagnosis. Data have not been adjusted for reporting delays. A correctional warning has been provided for ZIP Code 70119. |
| New York City, NY | Prevalence Data: Data represent persons living with diagnosed HIV or AIDS in New York City and not known to have died as of 12/31/2015 and who were reported to the NYC Department of Health and Mental Hygiene as of 06/30/2016. 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. A correctional warning has been provided for ZIP Code 11370.
New HIV diagnoses Data: Data represent persons newly diagnosed with HIV or AIDS in New York City between 2011 and 2015 and who were reported to the NYC Department of Health and Mental Hygiene as of 06/30/2016. 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 diagnosed HIV or AIDS in the City of Newark at the end of 2015 and who were reported as of 02/28/2017. 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 or AIDS in the City of Newark between 2011 and 2015 and who were reported as of 02/28/2017. 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 County, CA | Prevalence Data: Data represent persons living with diagnosed HIV or AIDS in the City of Oakland and the remainder of Alameda County through the end of 2015 and who were reported as of 03/16/2017. 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.
New HIV diagnoses: Data represent persons newly diagnosed with HIV or AIDS in the City of Oakland and the remainder of Alameda County between 2011 and 2015 and who were reported as of 03/16/2017. 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. |
| Orlando, FL | Prevalence Data: Data represent persons living with diagnosed HIV or AIDS in Lake, Orange, Osceola and Seminole Counties at the end of 2015 as of 12/31/2016. 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 excluded from analysis.
New HIV diagnoses Data: Data represent persons newly diagnosed with HIV or AIDS in Lake, Orange, Osceola and Seminole Counties between 2011 and 2015 and who were reported as of 12/31/2016. 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 excluded from analysis. |
| Philadelphia, PA | Prevalence Data: Data represent persons living with diagnosed HIV or AIDS in the City of Philadelphia at the end of 2015 and who were reported as of 06/30/2016. 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 or AIDS in the City of Philadelphia between 2011 and 2015 and who were reported as of 06/30/2016. 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 diagnosed HIV or AIDS in Wake County (comprised of Raleigh and 11 other municipalities) at the end of 2015 who were reported through 04/01/2016. 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 or AIDS in Wake County (comprised of Raleigh and 11 other municipalities) between 2011 and 2015 who were reported as of 04/01/2016. 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 MSA, VA | Prevalence Data: Data represent persons living with diagnosed HIV or AIDS in the Richmond MSA at the end of 2015 and who were reported through 02/21/2017. 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 or AIDS in the Richmond MSA between 2011 and 2015 and who were reported through 02/21/2017. Cases are based on last known residence in Virginia. 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. A correctional warning has been provided for all ZIP Codes. |
| San Diego, CA | Prevalence Data: Data represent persons living with diagnosed HIV or AIDS in San Diego County at the end of 2015 as reported by 03/16/2017. 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 or AIDS in San Diego County between 2011 and 2015 and who were reported as of 03/16/2017. Demographic breakdowns are not available. 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. |
| San Francisco, CA | Prevalence Data: Data represent persons living with diagnosed HIV or AIDS in the City and County of San Francisco at the end of 2015 and who were reported as of 03/02/2017. Data are mapped based on the most recent known address. Data have not been adjusted for reporting delays. All addresses were geocoded and compared against the ZIP Code shapefile to validate ZIP Codes provided at time of report. 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.
New HIV diagnoses Data: Data represent persons newly diagnosed with HIV or AIDS in the City and County of San Francisco between 2011 and 2015 and who were reported as of 03/02/2017. Data are mapped based on the residence at time of HIV or AIDS diagnosis. All addresses at HIV or AIDS diagnosis were geocoded and compared against the ZIP Code shapefile to validate ZIP Codes provided at time of report. 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. Deaths included in the city profile only include decedents with a residence at time of death in that jurisdiction in San Francisco. |
| San Juan, PR | Prevalence Data: Data represent persons living with diagnosed HIV or AIDS in the San Juan – Caguas – Guaynabo MSA at the end of 2015 and who were reported as of 12/31/2016. 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 or AIDS in the San Juan – Caguas – Guaynabo MSA between 2011 and 2015 and who were reported as of 12/31/2016. 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 diagnosed HIV infection (with or without AIDS) at the end of 2015, based on surveillance reports provided to the Washington State Department of Health as of 01/31/2017. Cases are based on most recent known address. Cases with unknown current ZIP code or with ZIP codes located outside the city of Seattle were excluded. 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 2011 and 2015, based on surveillance reports provided to the Washington State Department of Health as of 01/31/2017. 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. 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 diagnosed HIV or AIDS in Hernando, Hillsborough, Pasco and Pinellas Counties at the end of 2015 and reported as of 12/31/2016. 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 excluded from analysis.
New HIV diagnoses Data: Data represent persons newly diagnosed with HIV or AIDS in Hernando, Hillsborough, Pasco and Pinellas Counties between 2011 and 2015 and who were reported as of 12/31/2016. 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 excluded from analysis. |
| Washington, DC | Prevalence Data: Data represent persons living with diagnosed HIV or AIDS in Washington, DC at the end of 2015 and who were diagnosed and reported as of 03/20/2017. 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 or AIDS in Washington, DC, between 2011 and 2015 and who were diagnosed and reported as of 03/20/2017. 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 diagnosed HIV or AIDS in Palm Beach County (a division in the Miami MSA) at the end of 2015 and reported as of 12/31/2016. Cases are based on most recent known address. ZIP Code data include name-based cases. Data have not been adjusted for reporting delays. Cases from department of corrections and federal correctional institutions are excluded from analysis.
New HIV diagnoses Data: Data represent persons newly diagnosed with HIV or AIDS in Palm Beach County (a division in the Miami MSA) between 2011 and 2015 and who were reported as of 12/31/2016. Cases are based on residence at diagnosis. ZIP Code data include name-based cases. Data have not been adjusted for reporting delays. 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 Diagnosed 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 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; HIV Testing Site Locator | Centers for Disease Control and Prevention, National Prevention Information Network; Ongoing Data Access Request. | Annually |
| Ryan White HIV/AIDS Medical Care Providers | Maps; HIV Treatment Site Locator | Health Resources and Services Administration, HIV/AIDS Bureau; Ongoing Data Access Request. | 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; Ongoing Data Access Request. | Annually |
| Poverty (Percent of population, all ages, living in poverty) – ZIP Code Level | Maps | U.S. Census Bureau, American Community Survey 5-Year Estimates, 2011-2015, 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, 2010-2014, Table S1501: Educational Attainment | Annually |
| Median Household Income – ZIP Code Level | Maps | U.S. Census Bureau, American Community Survey 5-Year Estimates, 2011-2015, 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, 2011-2015, 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 the CDC because the 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 the 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 diagnosed HIV in the defined geographic area. One-year prevalence rates and case counts were reported from January 1, 2015 to December 31, 2015 and five-year new HIV diagnoses case counts were reported from January 1, 2011 to December 31, 2015. 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 diagnosed HIV or AIDS 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 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. 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 2015 for prevalence and 2015 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 diagnosed HIV, AIDSVu does not display rates and case counts when the numerator (number of persons living with diagnosed HIV) is less than 5 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). 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 5, the “unstable rate” indicator will only be displayed when the numerator is 5 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 4 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 ten 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 4 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 1 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 diagnosed HIV or AIDS in the City of Chicago census tract at the end of 2015 and who were reported as of 01/03/2017. 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. A correctional warning has been provided for ZIP Codes 60605 and 60608.
New HIV diagnoses Data: Data represent persons newly diagnosed with HIV or AIDS in the City of Chicago between 2011 and 2015 and who were entered as of 01/03/2017. 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. A correctional warning has been provided for ZIP Codes 60605 and 60608. |
| Philadelphia | Prevalence Data: Data represent persons living with diagnosed HIV or AIDS in the City of Philadelphia census tracts at the end of 2015 and who were reported as of 06/30/2016. Census tracts were assigned based on most recent known address (when available), or earliest residence reported.
New HIV diagnoses Data: Data represent persons newly diagnosed with HIV or AIDS in the City of Philadelphia census tracts between 2011 and 2015 and who were reported as of 06/30/2016. Census tracts were assigned based on residence at diagnosis (when available), or earliest residence reported. |
| Washington, DC | Prevalence Data: Data represent persons living with diagnosed HIV or AIDS in Washington, DC census tracts at the end of 2015 and who were diagnosed and reported as of 03/20/2017. 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.
New HIV diagnoses Data: Data represent persons newly diagnosed with HIV or AIDS in Washington, DC census tracts between 2011 and 2015 and who were diagnosed and reported as of 03/20/2017. 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. |
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 Diagnosed 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; HIV Testing Site Locator | Centers for Disease Control and Prevention, National Prevention Information Network; Ongoing Data Access Request. | Quarterly |
| Ryan White HIV/AIDS Medical Care Providers | Maps; HIV Treatment Site Locator | Health Resources and Services Administration, HIV/AIDS Bureau; Ongoing Data Access Request. | 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; Ongoing Data Access Request. | Annually |
| Poverty (Percent of population, all ages, living in poverty) – Census Tract Level | Maps | U.S. Census Bureau, American Community Survey 5-Year Estimates, 2011-2015, 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, 2010-2014, Table S1501: Educational Attainment | Annually |
| Median Household Income – Census Tract Level | Maps | U.S. Census Bureau, American Community Survey 5-Year Estimates, 2011-2015, 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, 2011-2015, Table B19083: Gini Index of Income Inequality | Annually |
Community Area/Ward Data
To permit the display of community/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 DC, they are defined as wards. Data were obtained directly from the public health departments and not from the CDC because the CDC does not collect street addresses for reported cases, and street addresses are required for mapping at the community/ward level. Community/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 the CDC.
Each public health department defined the geographic area (e.g., community/ward) in their jurisdiction for which they desired to display data on AIDSVu. Community/ward-level HIV surveillance data reflect the reported most recent known address for persons living with diagnosed HIV in the defined area. One-year prevalence rates and case counts were reported from January 1, 2014 to December 31, 2014 and five-year new HIV diagnoses case counts were reported from January 1, 2011 to December 31, 2015. For more information on how these three jurisdictions handle the assignment of a community/ward to cases missing an address, see the Jurisdiction-Specific Data Caveats table below. Denominators used to calculate rates for community/ward were obtained from the U.S. Census Bureau’s 2010 census of census tracts that make up the defined areas in Chicago and DC.
Data Stratification
AIDSVu allows viewers to look at community/ward-level HIV rate 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 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 2014 for prevalence and 2015 for new HIV diagnoses. Caution should be exercised when viewing and interpreting the community/ward maps because the scales change across the different demographic breakdowns.
Corrections Warning
Rates of persons living with diagnosed HIV or AIDS 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/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 5 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 5, the “unstable rate” indicator will only be displayed when the numerator is 5 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 4 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/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 diagnosed HIV or AIDS in the City of Chicago at the end of 2015 and who were reported as of 01/03/2017. 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. A correctional warning has been provided for ZIP Codes 60605 and 60608.
New HIV diagnoses Data: Data represent persons newly diagnosed with HIV or AIDS in the City of Chicago between 2011 and 2015 and who were entered as of 01/03/2017. 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. A correctional warning has been provided for ZIP Codes 60605 and 60608. |
| Washington, DC Wards | Prevalence Data: Data represent persons living with diagnosed HIV or AIDS in Washington, DC Wards at the end of 2015 and who were diagnosed and reported as of 03/20/2017. 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.
New HIV diagnoses Data: Data represent persons newly diagnosed with HIV or AIDS in Washington, DC Wards, between 2011 and 2015 and who were diagnosed and reported as of 03/20/2017. 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. |
Data Sources
| Data Element | Location on AIDSVu | Data Source | Anticipated Update Frequency on AIDSVu Website |
| Rates and Case Counts of Persons Living with Diagnosed HIV and Case Counts of Persons Newly Diagnosed with HIV, Neighborhood/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; HIV Testing Site Locator | Centers for Disease Control and Prevention, National Prevention Information Network; Ongoing Data Access Request. | Annually |
| Ryan White HIV/AIDS Medical Care Providers | Maps; HIV Treatment Site Locator | Health Resources and Services Administration, HIV/AIDS Bureau; Ongoing Data Access Request. | 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; Ongoing Data Access Request. | 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 New Diagnoses Data, Prevalence 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, 2014 | City, county, and state health departments. | Annually |
| Estimated Number of New HIV Diagnoses, 2011-2015 | 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, 2014 | City, county, and state health departments. | Annually |
| Estimated Percent of Persons Living with Diagnosed HIV, by Transmission Category, 2014 | City, county, and state health departments. | Annually |
| 5-Year Combined Percent of New HIV Diagnoses, by Transmission Category, 2011-2015 | City, county, and state health departments. | Annually |
| Estimated Number of Persons Living with Diagnosed HIV, who Identify as Transgender, 2014 | City, county, and state health departments. | Annually |
| Sexually Transmitted Diseases, 2015 | Centers for Disease Control and Prevention, Sexually Transmitted Diseases Surveillance, by MSA. | Annually |
