This map compares housing units by three different types: owner-occupied, renter-occupied, or vacant. Only the type with the largest count of housing units receives a color on the map.This pattern is shown by states, counties, and tracts throughout the entire US. This data comes from the most recent 5-year American Community Survey from the Census Bureau (ACS). This data comes from this current-year ACS layer from the ArcGIS Living Atlas of the World.Each year, the data within this map is updated to reflect the newest ACS data, keeping this map up-to-date.This map helps us answer different questions such as:Are renters or home-owners more prevalent in cities? Suburbs? Rural areas?Where are vacant housing units? This question can help pinpoint blight within cities.How many housing units are within different areas?

Download PDF maps here.Zoning Map - 11X17in color mapZoning Map - 30X16in black & white mapZoning Map - 34X46in color mapZoning Map - 8X11in black and white mapZip Code Map - 11X17in color mapZip Code Map - 34X46in color mapExisting Affordable Housing 2008 Map - 11X17in color mapExisting Affordable Housing 2010 Map - 11X17in color mapExisting Affordable Housing 2010 Map - 34X148 color mapCDBG Map Based upon 2000 Census Tract - 11X177 color mapNeighborhood Associations MapWireless Telecommunication Anetenna Location Map - 34X46 color map

This dataset identifies demographic and housing estimates including sex and age, race and housing units by zip code tabulation areas within the United States. This dataset resulted from the American Community Survey (ACS) conducted from 2010 through 2014. JSL enriched this dataset with Latitude and Longitude information and with the map information about the land and water area of zip code tabulation areas.

CPD Maps includes data on the locations of existing CDBG, HOME, public housing and other HUD-funded community assets, so that users can view past investments geographically when considering various strategies for future funding. CPD Maps offers a large amount of data in a way that is easy to access. The website allows grantees and the general public to easily search, query, and display information to identify trends and analyze the needs of their community.

HUD furnishes technical and professional assistance in planning, developing and managing these developments. Public Housing Developments are depicted as a distinct address chosen to represent the general location of an entire Public Housing Development, which may be comprised of several buildings scattered across a community. The building with the largest number of units is selected to represent the location of the development. Location data for HUD-related properties and facilities are derived from HUD's enterprise geocoding service. While not all addresses are able to be geocoded and mapped to 100% accuracy, we are continuously working to improve address data quality and enhance coverage. Please consider this issue when using any datasets provided by HUD. When using this data, take note of the field titled “LVL2KX” which indicates the overall accuracy of the geocoded address using the following return codes: ‘R’ - Interpolated rooftop (high degree of accuracy, symbolized as green) ‘4’ - ZIP+4 centroid (high degree of accuracy, symbolized as green) ‘B’ - Block group centroid (medium degree of accuracy, symbolized as yellow) ‘T’ - Census tract centroid (low degree of accuracy, symbolized as red) ‘2’ - ZIP+2 centroid (low degree of accuracy, symbolized as red) ‘Z’ - ZIP5 centroid (low degree of accuracy, symbolized as red) ‘5’ - ZIP5 centroid (same as above, low degree of accuracy, symbolized as red) Null - Could not be geocoded (does not appear on the map) For the purposes of displaying the location of an address on a map only use addresses and their associated lat/long coordinates where the LVL2KX field is coded ‘R’ or ‘4’. These codes ensure that the address is displayed on the correct street segment and in the correct census block. The remaining LVL2KX codes provide a cascading indication of the most granular level geography for which an address can be confirmed. For example, if an address cannot be accurately interpolated to a rooftop (‘R’), or ZIP+4 centroid (‘4’), then the address will be mapped to the centroid of the next nearest confirmed geography: block group, tract, and so on. When performing any point-in polygon analysis it is important to note that points mapped to the centroids of larger geographies will be less likely to map accurately to the smaller geographies of the same area. For instance, a point coded as ‘5’ in the correct ZIP Code will be less likely to map to the correct block group or census tract for that address. In an effort to protect Personally Identifiable Information (PII), the characteristics for each building are suppressed with a -4 value when the “Number_Reported” is equal to, or less than 10. To learn more about Public Housing visit: https://www.hud.gov/program_offices/public_indian_housing/programs/ph/, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data Dictionary: DD_Public Housing Developments Date Updated: Q1 2025

The travel time data on this map is modeled from a 2005 transit network. The home values are as of 2000 and are expressed in year 2000 dollars. The home value estimates were created by the Association of Bay Area Governements by combining ParcelQuest real estate transaction data and real estate tax assessment data. This information can be generated for any address in the region using an interactive mapping tool available under Maps at onebayarea.org/maps.htm (Note - this tool is no longer available).

This map shows the Housing and Urban Development Areas in Jackson County and was Map 12 in the Jackson County Community Fire Plan. The page size is 11 inches by 17 inches.

Check out PhillyStat's visualization of this dataset. View metadata for key information about this dataset.For questions about this dataset, contact noelle.vought@phila.gov. For technical assistance, email maps@phila.gov.

Total number of housing units within every census block group in Holladay city (Source 2020 American Community Survey).

JCHA Site Location Maps (PDF) This collection of maps shows the locations and boundaries for all Jersey City Housing Authority Properties.JCHA Site Location Maps (PDF) Preview

Housing increase data from the City of Grand Rapids Permiting Department

Pathways to Removing Obstacles to Housing (PRO Housing) Pathways to Removing Obstacles to Housing, or PRO Housing, is a competitive grant program being administered by HUD. PRO Housing seeks to identify and remove barriers to affordable housing production and preservation.

Under the Need rating factor, applicants will be awarded ten (10) points if their application primarily serves a ‘priority geography’. Priority geography means a geography that has an affordable housing need greater than a threshold calculation for one of three measures. The threshold calculation is determined by the need of the 90th-percentile jurisdiction (top 10%) for each factor as computed comparing only jurisdictions with greater than 50,000 population. Threshold calculations are done at the county and place level and applied respectively to county and place applicants. An application can also quality as a priority geography if it serves a geography that scores in the top 5% of its State for the same three measures. The measures are as follows:

Affordable housing not keeping pace, measured as (change in population 2019-2009 divided by 2009 population) – (change in number of units affordable and available to households at 80% HUD Area Median Family Income (HAMFI) 2019-2009 divided by units affordable and available at 80% HAMFI 2009). Insufficient affordable housing, measured as number of households at 80% HAMFI divided by number of affordable and available units for households at 80% HAMFI. Widespread housing cost burden or substandard housing, measured as number of households with housing problems at 100% HAMFI divided by number of households at 100% HAMFI. Housing problems is defined as: cost burden of at least 50%, overcrowding, or substandard housing.

For more information on Pro Housing, please visit: https://www.hud.gov/program_offices/comm_planning/pro_housing

This data is not recommended for downloading. Use the "Affordable Housing - Download" item to download the feature class and related table in a zipped file geodatabase. An ongoing inventory of affordable housing for the Portland metropolitan area. Intended to assist in prioritizing investment and guiding regional policymaking. Date of last data update: 2020-12-31 This is official RLIS data. Contact Person: Clint Chiavarini clinton.chiavarini@oregonmetro.gov 503-797-1738 RLIS Metadata Viewer: https://gis.oregonmetro.gov/rlis-metadata/#/details/3432 RLIS Terms of Use: https://rlisdiscovery.oregonmetro.gov/pages/terms-of-use

A map that is updated regularly showing new subdivision developments in the city of Wentzville, Missouri

This app showcases Laredo Housing Authority Dataset. The app focuses on resident counts, gross income and duration of services.

The City of Long Beach’s Site Inventory identifies a list of sites that are suitable for future residential development. California state law mandates that each jurisdiction ensure availability of an adequate number of sites that have appropriate zoning, development standards, and infrastructure capacity to meet its fair share of the regional housing need at all income levels. The inventory is a tool that maps out suitable sites for new housing development at different income affordability levels in order to meet the City’s Regional Housing Needs Assessment (RHNA) that is allocated by the state. Appendix C of the Housing Element provide additional information on the Long Beach Site Inventory and methodology used to identify suitable sites. For more information on site inventories and regulatory requirements, visit the California Housing and Community Development Department’s website.

It contain the latest shape files for the NYCHA developments as of July 2011.

This dataset denotes the Pathways to Removing Obstacles to Housing (PRO Housing) Priority Geography Map. Under the Need rating factor, applicants will be awarded ten (10) points if their application primarily serves a ‘priority geography’. Priority geography means a geography that has an affordable housing need greater than a threshold calculation for one of three measures. The threshold calculation is determined by the need of the 90th-percentile jurisdiction (top 10%) for each factor as computed comparing only jurisdictions with greater than 50,000 population. Threshold calculations are done at the county and place level and applied respectively to county and place applicants. An application can also quality as a priority geography if it serves a geography that scores in the top 5% of its State for the same three measures.

The Laredo Housing Authority provided us with information regarding their applicants for 2014-2016. We geocoded the locations and related them to Census Block Groups. This layer shows their location and various breakdowns of the data.

Net change in housing units arising from new buildings, demolitions, or alterations for NYC City Council Districts since 2010. The NYC Department of City Planning's (DCP) Housing Database provide the 2010 census count of housing units, the net change in Class A housing units since the census, and the count of units pending completion for commonly used political and statistical boundaries. These tables are aggregated from the DCP Housing Database, which is derived from Department of Buildings (DOB)-approved housing construction and demolition jobs filed or completed in NYC since January 1, 2010. Net housing unit change is calculated as the sum of all three construction job types that add or remove residential units: new buildings, major alterations, and demolitions, and can be used to determine the change in legal housing units across time and space. All previously released versions of this data are available at BYTES of the BIG APPLE - Archive.