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: Q2 2025

Public Parcels - Metro CTUsThis web map was created by Metro Transit's Transit Oriented Development (TOD) Office to showcase the newly expanded public parcel data in relation to existing and planned transit facilities across the Twin Cities Metropolitan Area. As of August, 2019, the parcels can also be viewed in relation to Federally approved Opportunity Zones. More information on the new US Department of Treasury Opportunity Zone Program can be found here. The purpose of the public parcel data is to increase awareness of the location and quantity of publicly owned lands at all levels of government. The Q-1 2020 dataset now includes more than 35,000 parcels from across 128 cities, townships, and unorganized territories (CTUs). These parcels are further classified and displayed by eight broad ownership or administrative categories. Users can view, analyze, share, and research publicly-owned lands that may be good candidates for TOD or some other higher/better use.The purpose of the original pilot project was to increase awareness of publicly owned parcel locations relative to Metro-area transit facilities and facilitate TOD analyses. While the current geographic extent of the data has been greatly expanded, the purpose remains the same; to raise awareness of publicly owned land for the highest & best use.For those with desktop GIS software, the Public Parcel shapefile and/or geodatabase can be downloaded here: https://gisdata.mn.gov/dataset/us-mn-state-metc-plan-public-parcels-metro-ctus

Affordable housing production and preservation projects are managed by the Department of Housing and Community Development (DHCD), the Deputy Mayor for Planning and Economic Development (DMPED), the DC Housing Authority, the DC Housing Finance Agency and DC's Inclusionary Zoning program. This dataset comprehensively covers affordable housing projects which started (i.e. reached financial closing and/or started construction) or completed since January of 2015. The data includes affordable housing projects (production and preservation, rental and for-sale) which were subsidized by DMPED, DHCD, DCHFA, or DCHA, and those which were produced as a result of Planned Unit Development (PUD) proffers or Inclusionary Zoning (IZ) requirements.

The feature set indicates the locations, and tenant characteristics of public housing development buildings for the San Francisco Bay Region. This feature set, extracted by the Metropolitan Transportation Commission, is from the statewide public housing buildings feature layer provided by the California Department of Housing and Community Development (HCD). HCD itself extracted the California data from the United States Department of Housing and Urban Development (HUD) feature service depicting the location of individual buildings within public housing units throughout the United States.

According to HUD's Public Housing Program, "Public Housing was established to provide decent and safe rental housing for eligible low-income families, the elderly, and persons with disabilities. Public housing comes in all sizes and types, from scattered single family houses to high-rise apartments for elderly families. There are approximately 1.2 million households living in public housing units, managed by some 3,300 housing agencies. HUD administers federal aid to local housing agencies that manage the housing for low-income residents at rents they can afford. HUD furnishes technical and professional assistance in planning, developing and managing these developments.

HUD administers Federal aid to local Housing Agencies (HAs) that manage housing for low-income residents at rents they can afford. Likewise, HUD furnishes technical and professional assistance in planning, developing, and managing the buildings that comprise low-income housing developments. This feature set provides the location, and resident characteristics of public housing development buildings.

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, the characteristics for each building are suppressed with a -4 value when the “Number_Reported” is equal to, or less than 10.

HCD downloaded the HUD data in April 2021. They sourced the data from https://hub.arcgis.com/datasets/fedmaps::public-housing-buildings.

To learn more about Public Housing visit: https://www.hud.gov/program_offices/public_indian_housing/programs/ph/.

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.

Adopted on 13 December 2000, the Law on Solidarity and Urban Renewal (SRU) aims to restore social balance in each territory and to address the shortage of social housing. Article 55 requires certain municipalities to have a minimum number of social housing units, proportional to their residential stock. Pursuant to Law No. 2013-61 of 18 January 2013, the requirements for the production of social housing have been strengthened. Municipalities with more than 3,500 inhabitants — and 1 500 inhabitants in Île-de-France — belonging to agglomerations or intercommunalities with more than 50,000 inhabitants, comprising at least one municipality with more than 15,000 inhabitants, must thus have 25 % social housing in relation to the main residences by 2025.

This list represents an inventory of the State of Hawaii's affordable housing projects. The list includes affordable housing projects owned by private, non-profit or governmental entities, developed with funding or support from federal, state or county resources.

Affordable Housing Development.

This layer shows the location of Public Housing Estates in Hong Kong. It is a subset of the data made available by the Hong Kong Housing Authority under the Government of Hong Kong Special Administrative Region (the “Government”) at https://DATA.GOV.HK/ (“DATA.GOV.HK”). The source data is in JSON format and has been processed and converted into Esri File Geodatabase format and then uploaded to Esri’s ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of DATA.GOV.HK at https://data.gov.hk.

Adopted on 13 December 2000, the Law on Solidarity and Urban Renewal (SRU) aims to restore social balance in each territory and to address the shortage of social housing. Article 55 obliges certain municipalities to have a minimum number of social housing units, proportional to their residential stock.In application of Law No. 2013-61 of 18 January 2013, the requirements for the production of social housing have been strengthened. Municipalities with more than 3,500 inhabitants — and 1 500 inhabitants in Île-de-France — belonging to agglomerations or intercommunalities with more than 50,000 inhabitants, comprising at least one municipality with more than 15,000 inhabitants, must thus have 25 % social housing in relation to the main residences by 2025.

Public Housing was established to provide decent and safe rental housing for eligible low-income families, the elderly, and persons with disabilities. Public housing comes in all sizes and types, from scattered single family houses to high-rise apartments for elderly families. There are approximately 1.2 million households living in public housing units, managed by over 3,300 housing agencies (HAs). HUD administers Federal aid to local housing agencies (HAs) that manage the housing for low-income residents at rents they can afford. HUD furnishes technical and professional assistance in planning, developing and managing these developments. 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. 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 Authorities Date Updated: Q1 2025

HUD administers Federal aid to local Housing Agencies (HAs) that manage housing for low-income residents at rents they can afford. Likewise, HUD furnishes technical and professional assistance in planning, developing, and managing the buildings that comprise low-income housing developments. This dataset provides the location and resident characteristics of public housing development buildings. Location data for HUD-related properties and facilities are derived from HUD's enterprise geocoding service.

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

As of November 2023, this map has been updated to use a new format. For details, please see here.
Snapshot of the Mayor’s Office of Housing and Community Development (MOHCD) and the Office of Community Investment and Infrastructure (OCII) affordable housing pipeline projects. The projects listed are in the process of development--or are anticipated to be developed--in partnership with non-profit or for-profit developers and financed through city funding agreements, ground leases, disposition and participation agreements and conduit bond financing. The Affordable Housing Pipeline also includes housing units produced by private developers through the Inclusionary Affordable Housing Program. Data reflects all projects as of June 30, 2023.

Social housing data for Canterbury City Council (September 2019)

Inventory of Affordable Housing

This database includes the quantity of units available for individual programs and whether they are designated for seniors or families. Construction dates are also included where available. Twenty records are not geocoded because their addresses are not valid or they do not have specific addresses. In addition, records with multiple, unlisted locations were not geocoded. For individual programs, unit quantities are not mutually exclusive. According to Paul Bursley at MSHDA, in 2011, the database was last updated in 2009.Metadata are available here.

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

Web Map Service with data from the Flemish Society for Social Housing.

San Mateo County Affordable Rental Housing for Low & Moderate Income Households broken down by city. This affordable housing list is updated as needed by us and the cities, property owners and developers listed.

For a real-time housing list of San Mateo County properties, you can visit SMCHousingSearch: http://www.smchousingsearch.org/