The U.S. Department of Housing and Urban Development (HUD) periodically receives "custom tabulations" of Census data from the U.S. Census Bureau that are largely not available through standard Census products. These datasets, known as "CHAS" (Comprehensive Housing Affordability Strategy) data, demonstrate the extent of housing problems and housing needs, particularly for low income households. The primary purpose of CHAS data is to demonstrate the number of households in need of housing assistance. This is estimated by the number of households that have certain housing problems and have income low enough to qualify for HUD’s programs (primarily 30, 50, and 80 percent of median income). CHAS data provides counts of the numbers of households that fit these HUD-specified characteristics in a variety of geographic areas. In addition to estimating low-income housing needs, CHAS data contributes to a more comprehensive market analysis by documenting issues like lead paint risks, "affordability mismatch," and the interaction of affordability with variables like age of homes, number of bedrooms, and type of building.This dataset is a special tabulation of the 2016-2020 American Community Survey (ACS) and reflects conditions over that time period. The dataset uses custom HUD Area Median Family Income (HAMFI) figures calculated by HUD PDR staff based on 2016-2020 ACS income data. CHAS datasets are used by Federal, State, and Local governments to plan how to spend, and distribute HUD program funds. To learn more about the Comprehensive Housing Affordability Strategy (CHAS), visit: https://www.huduser.gov/portal/datasets/cp.html, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. To learn more about the American Community Survey (ACS), and associated datasets visit: https://www.census.gov/programs-surveys/acs Data Dictionary: DD_ACS 5-Year CHAS Estimate Data by County Date of Coverage: 2016-2020

The amount of federal funding provided to Ontario and its communities for housing and homelessness programs. Funds are itemized by program.

The federal government provides funding to provinces / territories for affordable and social housing programs through the Canada Mortgage and Housing Corporation. Current programs include social housing and the Investment in Affordable Housing Program. Projections for 2014-15 and beyond are also included.

Graph and download economic data for Mortgage Debt Outstanding by Type of Holder and Property: Federal and Related Agencies: Federal Housing Administration and Department of Veterans Affairs for One- to Four-Family Residences (DISCONTINUED) (MDOTHFRAFHADVATP1T4FR) from Q1 1949 to Q3 2019 about 1 to 4 unit structures, veterans, agency, mortgage, family, debt, residents, federal, and USA.

Germany FG: Exp: Year to Date: Housing, Planning & Local Community Services data was reported at 329.000 EUR mn in Feb 2025. This records an increase from the previous number of 71.000 EUR mn for Jan 2025. Germany FG: Exp: Year to Date: Housing, Planning & Local Community Services data is updated monthly, averaging 909.500 EUR mn from Jan 2006 (Median) to Feb 2025, with 230 observations. The data reached an all-time high of 4,084.000 EUR mn in Dec 2024 and a record low of 57.000 EUR mn in Jan 2020. Germany FG: Exp: Year to Date: Housing, Planning & Local Community Services data remains active status in CEIC and is reported by Federal Ministry of Finance. The data is categorized under Global Database’s Germany – Table DE.F018: Federal Government Revenue, Expenditure and Borrowing: Bundesministerium der Finanzen.

This dataset denotes Public Housing Authority (PHA) office locations, contact information, and program availability. 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.

United States - Mortgage Debt Outstanding by Type of Holder and Property: Federal and Related Agencies: Federal Housing Administration and Department of Veterans Affairs for Multifamily Residences (DISCONTINUED) was 2163.65000 Mil. of $ in July of 2019, according to the United States Federal Reserve. Historically, United States - Mortgage Debt Outstanding by Type of Holder and Property: Federal and Related Agencies: Federal Housing Administration and Department of Veterans Affairs for Multifamily Residences (DISCONTINUED) reached a record high of 7427.59000 in October of 1992 and a record low of 7.00000 in April of 1949. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Mortgage Debt Outstanding by Type of Holder and Property: Federal and Related Agencies: Federal Housing Administration and Department of Veterans Affairs for Multifamily Residences (DISCONTINUED) - last updated from the United States Federal Reserve on July of 2025.

The Federal Housing Enterprises Financial Safety and Soundness Act of 1992 (Safety and Soundness Act) provides for the establishment of single-family and multifamily goals each year, including a single-family purchase money mortgage goal for families residing in low-income areas. The Safety and Soundness Act defines "low-income area" as: (a) census tracts or block numbering areas in which the median income does not exceed 80 percent of area median income (AMI), (b) families with income not greater than 100 percent of AMI who reside in minority census tracts, and (c) families with income not greater than 100 percent of AMI who reside in designated disaster areas. A “minority census tract” is a census tract that has a minority population of at least 30 percent and a median income of less than 100 percent of the AMI. Census tract level data identifying these areas are available below for 2010 and 2011 based on 2000 Census tract geography, for 2012 through 2021 based on 2010 Census tract geography, and for 2022 and subsequent years based on 2020 Census tract geography.​As in the previous underserved area definition, low-income area and minority census tract definitions are based on prior year metropolitan area definitions as determined by OMB. Designated disaster areas are identified by FHFA based on the three most recent years' declarations by the Federal Emergency Management Agency​ (FEMA), where individual assistance payments were authorized by FEMA. Each file includes a map of the counties identified as designated disaster areas and a description of the data layout, also available separately.To learn more about the Underserver Areas Dataset visit: Underserved Areas Data | Federal Housing Finance Agency (fhfa.gov), for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data Dictionary: DD_Underserved Areas DataDate of Coverage: 10/2023 - 09/2024Last Updated: 11/2023

United States - Mortgage Debt Outstanding by Type of Holder and Property: Federal and Related Agencies: Federal Housing Administration and Department of Veterans Affairs for One- to Four-Family Residences (DISCONTINUED) was 13141.41000 Mil. of $ in July of 2019, according to the United States Federal Reserve. Historically, United States - Mortgage Debt Outstanding by Type of Holder and Property: Federal and Related Agencies: Federal Housing Administration and Department of Veterans Affairs for One- to Four-Family Residences (DISCONTINUED) reached a record high of 13141.41000 in July of 2019 and a record low of 18.00000 in April of 1949. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Mortgage Debt Outstanding by Type of Holder and Property: Federal and Related Agencies: Federal Housing Administration and Department of Veterans Affairs for One- to Four-Family Residences (DISCONTINUED) - last updated from the United States Federal Reserve on July of 2025.

Interest rates to be paid on debentures issued with respect to a loan or mortgage insured by the Federal Housing Commissioner under the provisions of the National Housing Act (the Act). The Department will continue to publish semi-annually the debenture interest rate for the next six-month period in the Federal Register. Concurrently with the publication in the Federal Register, the Department will update the list of debenture interest rates.

The HOME Investments Partnership Program (HOME) is a federal block grant program distributed (via formula) to states and local governments. Participating jurisdictions may use HOME funds for a variety of housing activities, according to local housing needs. Eligible uses of funds include: tenant-based rental assistance, housing rehabilitation, assistance to home-buyers, and new construction of housing. HOME funding may also be used for site acquisition, site improvements, demolition, relocation, and other necessary and reasonable activities related to the development of non-luxury housing. Funds may not be used for public housing development, public housing operating costs, or for Section 8 tenant-based assistance, nor may they be used to provide non-federal matching contributions for other federal programs, for operating subsidies for rental housing, or for activities under the Low-Income Housing Preservation Act. The locations of HOME activities are derived from addresses provided by HUD grantees from 1996 to present in HUDs Integrated Disbursement and Information System (IDIS). Until recently, these addresses were not validated at point of entry. The prevalence of missing or incorrect address data means that HUD cannot guarantee the accuracy of these locations. However, due to recent improvements to IDIS, HUD expects the quality of activity locations to improve over time. Please note that this service only provides data for those areas in which HOME program activity has occurred. Please note that this service only provides data for those areas in which HOME program activity has occurred. Tracts where Total Activity Count = 0, or Total Activity Count is NULL have been omitted from this dataset. To learn more about the HOME Program visit: https://www.hud.gov/hudprograms/home-program/, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data Dictionary: DD_Home Program Activity by Tract. Date of Coverage: 10/2021 Last Updated: 11/2021

Fair Market Rents (FMRs) are used to determine payment standard amounts for the Housing Choice Voucher program, to determine initial renewal rents for some expiring project-based Section 8 contracts, to determine initial rents for housing assistance payment (HAP) contracts in the Moderate Rehabilitation Single Room Occupancy program (Mod Rehab), rent ceilings for rental units in both the HOME Investment Partnerships program and the Emergency Solution Grants program, calculation of maximum award amounts for Continuum of Care recipients and the maximum amount of rent a recipient may pay for property leased with Continuum of Care funds, and calculation of flat rents in Public Housing units. The U.S. Department of Housing and Urban Development (HUD) annually estimates FMRs for Office of Management and Budget (OMB) defined metropolitan areas, some HUD defined subdivisions of OMB metropolitan areas and each nonmetropolitan county. 42 USC 1437f requires FMRs be posted at least 30 days before they are effective and that they are effective at the start of the federal fiscal year (generally October 1).

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. 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/ Development FAQs - IMS/PIC | HUD.gov / U.S. Department of Housing and Urban Development (HUD), for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data Dictionary: DD_Public Housing Buildings Date Updated: Q1 2025

United States - Mortgage Debt Outstanding by Type of Holder: Federal and Related Agencies: Federal Housing Administration and Department of Veterans Affairs (DISCONTINUED) was 15305.06000 Mil. of $ in July of 2019, according to the United States Federal Reserve. Historically, United States - Mortgage Debt Outstanding by Type of Holder: Federal and Related Agencies: Federal Housing Administration and Department of Veterans Affairs (DISCONTINUED) reached a record high of 15305.06000 in July of 2019 and a record low of 25.00000 in April of 1949. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Mortgage Debt Outstanding by Type of Holder: Federal and Related Agencies: Federal Housing Administration and Department of Veterans Affairs (DISCONTINUED) - last updated from the United States Federal Reserve on July of 2025.

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/.

Germany BDF Forecast: Federal Expenditure: Housing & Community Services data was reported at 3,549.000 EUR mn in 2018. This records an increase from the previous number of 3,324.000 EUR mn for 2017. Germany BDF Forecast: Federal Expenditure: Housing & Community Services data is updated yearly, averaging 3,324.000 EUR mn from Dec 2016 (Median) to 2018, with 3 observations. The data reached an all-time high of 3,549.000 EUR mn in 2018 and a record low of 2,427.000 EUR mn in 2016. Germany BDF Forecast: Federal Expenditure: Housing & Community Services data remains active status in CEIC and is reported by Federal Ministry of Finance. The data is categorized under Global Database’s Germany – Table DE.F018: Federal Government Revenue, Expenditure and Budget Balance: Forecast: Bundesministerium der Finanzen.

This service provides data on Federal Housing Administration (FHA) single family, Real Estate Owned (REO) properties that are up for sale. The U.S. Department of Housing and Urban Development's Real Estate Owned (REO) properties are the result of the Federal Housing Administration (FHA) paying a claim to a lending institution on a foreclosed property which was financed with an FHA Insured Mortgage, and the lender has transferred ownership of the property of to HUD. Typically, title to the property is not transferred (or the claim paid) until the previous owner is evicted from the property. Normally, after the home is transferred to HUD, the property will go up for auction on the HUD Home store website.

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

The U.S. Department of Housing and Urban Development's Real Estate Owned (REO) properties are the result of the Federal Housing Administration (FHA) paying a claim to a lending institution on a foreclosed property which was financed with an FHA Insured Mortgage, and the lender has transferred ownership of the property of to HUD. Typically, title to the property is not transferred (or the claim paid) until the previous owner is evicted from the property. Normally, after the home is transferred to HUD, the property will go up for auction on the HUD Home store website.Location data for HUD-related properties and facilities are derived from HUD's enterprise geocoding service. Note that these data only include latitude and longitude coordinates and associated attributes for those addresses that can be geocoded to an interpolated point along a street segment, or to a ZIP+4 centroid location. While not all records are able to be geocoded and mapped, we are continuously working to improve the address data quality and enhance coverage. Please consider this issue when using any datasets provided by HUD.To learn more about HUD Real Estate Owned Properties visit: https://www.hud.gov/program_offices/housing/sfh/reo, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data Dictionary: DD FHA REO Properties for SaleDate of Coverage: 03/2025 SnapshotLast Updated: 03/2025

The special survey in March is on the topic of extended housing survey ("Erweiterte Wohnungserhebung"), just as in the previous years (Mikrozensus MZ7101, Mikrozensus MZ7001 Mikrozensus MZ6901,...) In addition, there are a few questions on smoking habits of the Austrian population. These questions are commissioned by the Federal Ministry for social administration as an important report for health policies. The impairment to health caused by smoking poses great problems for the institutions concerned with public health. Reports on the number of smokers and the attitude toward tobacco are urgently needed starting points for targeted measures against addiction.

The apartment inventory map service shows the status in blue primer of the municipalities that are subject to the building regulations of the Second Housing Act (ZWG, SR 702) and are only allowed to set up second homes under strict conditions (ZWG Art. 7ff.). The Second Homes Act defines the limit of a second home proportion at 20 per cent. The Second Homes Act obliges all Swiss municipalities to create an annual apartment inventory to calculate the number of proportion of second apartments. The basis for this is the Swiss Federal Register of Buildings and Dwellings. The Swiss Federal Register of Buildings and Dwellings is maintained by the municipalities and evaluated by the Federal Office for Spatial Development by 31.12. The Federal Office for Spatial Development will publish the apartment inventory and number of second apartments at the end of March. Municipalities whose second apartment share in March was under or over the limit of 20 per cent will be subject to a procedure to check the second apartment share. The list of the state of proceedings (status) will be updated at the end of October. The percentages of the apartment inventory will remain unchanged until the next publication of the apartment inventories at the end of March, as the exact values ​​do not always have to be determined in the examination procedure for the decision below or above 20 percent second home share. For more precise information, the municipalities are responsible for ongoing proceedings. The municipalities have to show the total number of apartments and first apartments in the apartment inventory, however, there is no obligation to declare first apartments, equivalent apartments or second apartments as such in the RBD. Therefore, the data from the apartment inventory regarding second apartments cannot be compared with data from other municipalities.