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

This file includes all active HUD Multifamily insured mortgages. The data is updated monthly.

DISCLAIMER:The information regarding the Assistance and Section 8 contracts, and properties is being furnished for the convenience of interested parties. The information has been compiled from multiple data sources within FHA or its contractors. This information does not purport to be complete or all inclusive. No representation or warranty, express or implied, as to any of the information contained in these files is made by HUD, FHA or any of their respective contractors, representatives or agents, or any officer, Director, employee, or any of the above. INSTRUCTIONS:This database was created to provide HUD partners/clients with a way of measuring the potential impact of expiring project-based subsidy contracts in their communities. It represents the most comprehensive picture of project-based subsidies yet developed, but like any "snap-shot", its usefulness has limits, although, Multifamily plans to refresh this data on a monthly basis. Below, we give a summary of what to keep in mind when viewing the information:Download of the Assistance and Section 8 Contracts - This compressed, (self extracting) file is offered in Microsoft Access Version 7.0 for Windows 95. It is important to note that this is a very large file and the speed for completing the download of the file is dependent on the bandwidth of you Internet Service provider (ISP) and the speed of your connection to the internet. The database contains two tables, one on the contract level, the other on the property level. To see property level data you must link these two tables by the property id field.Contract Expiration Data and Units - Please keep in mind that you will often find more than one contract will share the same property information. The field “assisted_units_count” , in the contract level table counts the number of units funded in that unique contract; the term “property_total_unit_count” shows how many units are in the entire property. A project with 100 units and two 50-units Section 8 contracts would have two records in the contract table and one record in the property table.Rent/Fair Market Rents - For each contract, we display the overall average ratio of gross contract rents to FMR taking into account the number of units and FMR for each bedroom size. Please note that this ratio is a guide only. In addition, since FMRs are determined by county and metro area, errors in project address data may lead to incorrect FMR benchmarks. Lastly, project rents change frequently and are therefore more subject to error. In creating this database, HUD staff processed over 24,000 address records and over 70,000 rent records. While considerable effort was made to assure the accuracy of the data used, absolute certainty is impossible.HUD-Held and HUD-Owned Status - The classification of projects as "HUD-Held" or "HUD-Owned" is based solely on status codes in HUD's accounting systems and has not been independently verified. For the most current status of a particular insured mortgage, contact the local HUD Field Office.Opportunity Zone Indicator - If a property is located in an Opportunity Zone, the field “is_opportunity_zone_ind” will show ‘Y’.

The About Grantees section of the HUD Exchange brings up contact information, reports, award, jurisdiction, and _location data for organizations that receive HUD funding through the the Community Development Block Grant Program, the Continuum of Care Program, the Emergency Solutions Grants Program, HOME Investment Partnerships Program, Housing Opportunities for Person With AIDS Program (HOPWA) , and the Neighborhood Stabilization Program.

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

The dataset contains current data on low rent and Section 8 units in PHA's administered by HUD. The Section 8 Rental Voucher Program increases affordable housing choices for very low-income households by allowing families to choose privately owned rental housing. Through the Section 8 Rental Voucher Program, the administering housing authority issues a voucher to an income-qualified household, which then finds a unit to rent. If the unit meets the Section 8 quality standards, the PHA then pays the landlord the amount equal to the difference between 30 percent of the tenant's adjusted income (or 10 percent of the gross income or the portion of welfare assistance designated for housing) and the PHA-determined payment standard for the area. The rent must be reasonable compared with similar unassisted units.

Text source: https://www.huduser.gov/portal/publications/hsgfin/addi.html In recognition of the fact that a lack of savings is the most significant barrier to homeownership for most low-income families1, Congress passed the American Dream Downpayment Act of 2003, which established the American Dream Downpayment Initiative (ADDI). The ADDI program was designed to provide assistance with downpayments, closing costs, and, if necessary, rehabilitation work done in conjunction with a home purchase. This formula-based program disburses assistance through a network of Participating Jurisdictions (PJs) in all 50 states and affords them significant flexibility in designing homebuyer programs to meet the needs of their communities. Established as part of the HOME program,2 ADDI is a prime example of direct federal assistance to promote low-income homeownership. In recent years there have been growing concerns that many new low-income homeowners have had difficulty maintaining homeownership.3 To address these concerns in the context of the ADDI program, the Fiscal Year 2006 U.S. Senate Report on the Transportation, Treasury and HUD Appropriations Bill directed the U.S. Department of Housing and Urban Development (HUD) to report on the foreclosure and delinquency rate of households who received downpayment assistance through ADDI.4 This report has been developed in response to this congressional mandate. Due to the limited program history of ADDI, and since HOME-assisted homebuyers are quite similar to those assisted by the ADDI, this study jointly estimates annual foreclosure and delinquency rates for both HOME- and ADDI-assisted borrowers who purchased homes during the period from 2001 through 2005.5 While all HOME/ADDI-assisted borrowers were included in the analysis, in order to have the results be representative of the ADDI program, the sample of PJs was limited to those that were eligible for an allocation of ADDI funds in 2004, the year in which the largest number of PJs were eligible. The primary objective of the study, which addresses the congressional inquiry, is to provide an estimate of the foreclosure and delinquency rates among HOME/ADDI-assisted homebuyers. HUD was also interested in an analysis of the reasons behind these outcomes. Thus, a secondary objective of this study is to analyze the factors associated with variations in delinquency and default rates. 1 See, for example, U. S. Department of Housing and Urban Development, Barriers to Minority Homeownership, July 17, 2002, and Herbert et al., Homeownership Gaps Among Low-Income and Minority Borrowers and Neighborhoods, U.S. Department of Housing and Urban Development, March 2005. 2 Created under Title II of the National Affordable Housing Act of 1990, the HOME program is designed to provide affordable housing to low-income households, expand the capacity of nonprofit housing providers, and strengthen the ability of state and local governments to develop and implement affordable housing strate-gies tailored to local needs and priorities. 3 See, for example, Dean Baker, "Who's Dreaming?: Homeownership Among Low-Income Families," Center for Eco-nomic and Policy Research, Washington, DC, January 2005. 4 Throughout our discussion the terms "default" and "foreclosure" are used to refer to the same outcome where homeowners lose their home in foreclosure. 5 Foreclosure and delinquency rates for 2000 are not included here as the data was not consistent enough to produce valid estimations. This report is based in part on surveys of participating jurisdictions.

Special Tabulations of Householdsby Income, Tenure, Age of Householder, and Housing ConditionsThe Economic and Market Analysis Division (EMAD) "Special Tabulations" data retrieval system produces tabular statistical summaries of counts of households by tenure, by income intervals, by age of householder, by size of household, by housing conditions based on the 1990 and 2000 Census, for select geographic areas in the United States. This system allows a user to extract data to conduct a longitudinal analysis of changes in a particular area.These special cross tabulations of decennial and ACS census data are the most detailed available for a qualitative analysis of housing demand based on incomes and age of householder. These data are a key element in the allocation formulae for the Section 8 and the Section 202 rental assistance programs, as well as a key element in EMAD qualitative demand market analysis activities for review of program applications and multifamily mortgage insurance applications submitted to FHA.For 1990 and 2000, the system contains decennial data for all counties and county equivalents in the United States, places with populations of 50,000 (subject to disclosure requirements), the nation, all states and the District of Columbia, and MSAs and PMSAs (except those in New England) based on the 1999 OMB definitions in effect at the time of the 2000 Census. Year 2000 data are also provided for selected areas in the Commonwealth of Puerto Rico. Beginning in 2010, the system uses data from the Census ACS 5-year survey, which is available at the CBSA, State, and County level. A detailed description of the exact content and format of the database is presented in the Help section of the system (Uploader's note: this help section was not available due to 404 error).

First launched by the U.S. Department of Housing and Urban Development (HUD) and Department of Transportation (DOT) in November 2013, the Location Affordability Index (LAI) provides ubiquitous, standardized household housing and transportation cost estimates for all 50 states and the District of Columbia. Because what is affordable is different for everyone, users can choose among eight household profiles—which vary by household income, size, and number of commuters—and see the impact of the built environment on affordability in a given location while holding household demographics constant.

Version 3 updates the constituent data sets with 2012-2016 American Community Survey data and makes several methodological tweaks, most notably moving to modeling at the Census tract level rather at the block group. As with Version 2, the inputs to the simultaneous equation model (SEM) include six endogenous variables—housing costs, car ownership, and transit usage for both owners and renters—and 18 exogenous variables, with vehicle miles traveled still modeled separately due to data limitations.To learn more about the Location Affordability Index (v.3) visit: https://www.hudexchange.info/programs/location-affordability-index/, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Date of Coverage: 2012-2016 Data Dictionary: DD_Location Affordability Indev v.3.0LAI Version 3 Data and MethodologyLAI Version 3 Technical Documentation

The U.S. Department of Housing and Urban Development’s (HUD) Housing Choice Voucher (HCV) Program assists very low-income families, the elderly, and the disabled in obtaining decent, safe, and sanitary housing in the private market. Public Housing Authorities (PHAs) receive federal funds from HUD to administer the voucher program, and housing subsidies are paid to the landlord directly by the PHA on behalf of the participating family. The voucher recipient remains responsible for paying any difference that exists between the actual rent charged by the landlord and the amount subsidized by the program. Voucher recipients are responsible for finding a suitable housing unit where the owner agrees to rent under the program. Because housing assistance is provided on behalf of the family or individual, participants are free to choose their own housing, including single-family homes, townhouses, and apartments provided that the chosen housing meets the requirements of the program, and is not limited to units located in subsidized housing projects. Qualified housing may also include the family's present residence. Furthermore, under certain circumstances, and if authorized by the PHA, a family may use its voucher to purchase a modest home. Please note that to restrict access to tenant information HCV locations are identified in public records by the owner, and not the tenant. Public data pertaining to the locations of HCV program participants are only available as U.S. Census Tract aggregations. Moreover, to protect the confidentiality of those receiving Housing Choice Voucher Program assistance, tracts containing 10 or fewer voucher holders have been omitted from this service. This dataset includes both tenant-based vouchers and project-based vouchers. HCV_PUBLIC_PCT are calculated using 2020 Census Demographic and Housing Characteristics File (DHC) table H4 Tenure Renter Occupied field. To learn more about the Housing Choice Voucher Program visit: https://www.hud.gov/helping-americans/housing-choice-vouchers, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data Dictionary: DD_Housing Choice Vouchers by Tract Date of Coverage: Up to 7/2025Last Updated: 7/24/2025

HUD’s Multifamily Housing property portfolio consist primarily of rental housing properties with five or more dwelling units such as apartments or town houses, but can also include nursing homes, hospitals, elderly housing, mobile home parks, retirement service centers, and occasionally vacant land. HUD provides subsidies and grants to property owners and developers in an effort to promote the development and preservation of affordable rental units for low-income populations, and those with special needs such as the elderly, and disabled. The portfolio can be broken down into two basic categories: insured, and assisted. The three largest assistance programs for Multifamily Housing are Section 8 Project Based Assistance, Section 202 Supportive Housing for the Elderly, and Section 811 Supportive Housing for Persons with Disabilities. The Multifamily property locations represent the approximate location of the property. The locations of individual buildings associated with each property are not depicted here. 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 Multifamily Housing visit: https://www.hud.gov/program_offices/housing/mfh, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov.Data Dictionary: DD_HUD Assisted Multifamily Properties Date of Coverage: 12/2023

HUD's LIHTC database contains information on 53,032 projects and 3.65 million housing units placed in service between 1987 and 2022. Data for properties placed in service in 2023 will be collected in the fall of 2024 and added to this database in the spring of 2025. The database includes project address, number of units and low-income units, number of bedrooms, year the credit was allocated, year the project was placed in service, whether the project was new construction or rehab, type of credit provided, and other sources of project financing. The database has been geocoded, enabling researchers to look at the geographical distribution and neighborhood characteristics of tax credit projects. It may also help show how incentives to locate projects in low-income areas and other underserved markets are working. With the continued support of the national LIHTC database, HUD hopes to enable researchers to learn more about the effects of the tax credit program.Summary of filesIn the zip file:LIHTC Data Dictionary 2022.PDF - The data dictionary for the LIHTC database (multiple address data use same formats) in Adobe Acrobat.LIHTCPUB.ACCDB - The LIHTC Database in MS Access format. This file also includes building addresses from HUD’s LIHTC tenant data collection.LIHTCPUB.CSV - The LIHTC Database in CSV format.missing data.PDF - Percent of Projects with Missing Data by Variable and Year Placed in Service

The Housing Affordability Data System (HADS) is a set of files derived from the 1985 and later national American Housing Survey (AHS) and the 2002 and later Metro AHS. This system categorizes housing units by affordability and households by income, with respect to the Adjusted Median Income, Fair Market Rent (FMR), and poverty income. It also includes housing cost burden for owner and renter households. These files have been the basis for the worst case needs tables since 2001. The data files are available for public use, since they were derived from AHS public use files and the published income limits and FMRs. We are providing these files give the community of housing analysts the opportunity to use a consistent set of affordability measures.This data set appears to not be upated after 2013

The Habitat Use Database (HUD) was specifically designed to address the need for habitat-use analyses in support of groundfish EFH, HAPCs, and fishing and nonfishing impacts components of the 2005 EFH EIS. HUD functionality and accessibility, and the ecological information upon which the HUD is based, will be improved in order for this database to fully support fisheries and ecosystem science and management. Upgrades to and applications of the HUD will be facilitated through a series of prioritized phases: • Fully integrate the data entry, quality control, and reporting capabilities from the original HUD Access database with a web-based and programmatic interface. Improve software for HUD to accommodate the most current habitat maps and habitat classification codes. This will be achieved by NMFS in consultation with HUD architects at Oregon State University. • Review and update the biological and ecological information in the HUD. • Develop and apply improved models that will be used to create updated habitat suitability maps for all west coast groundfish species using the updated HUD and Pacific coast seafloor habitat maps. • Integrate habitat suitability models with the online groundfish EFH data catalog (http://efh-catalog.coas.oregonstate.edu/overview/). 2005 habitat-use analysis supporting groundfish EFH.

Includes all terminated HUD Multifamily insured mortgages. It includes the Holder and Servicer at the time the mortgage was terminated. Data is updated monthly and is extracted from MFIS.

Multifamily Portfolio datasets (section 8 contracts) - The information has been compiled from multiple data sources within FHA or its contractors. HUD oversees more than 22,000 privately owned multifamily properties, and more than 1.4 million assisted housing units. These homes were originally financed with FHA-insured or Direct Loans and many are supported with Section 8 or other rental assistance contracts. Our existing stock of affordable rental housing is a critical resource for seniors and families who otherwise would not have access to safe, decent places to call home.

Picture of Subsidized Households describes households living in HUD-subsidized housing in Utah. This data set provides characteristics of assisted housing units and residents in Utah, summarized at the state, public housing agency (PHA), project, census tract, county, Core-Based Statistical Area and city levels as downloadable files

Assistance provided under HUD programs falls into three categories: public housing, tenant-based, and privately owned, project-based. In public housing, local housing agencies receive allocations of HUD funding to build, operate or make improvements to housing. The housing is owned by the local agencies. Public housing is a form of project-based subsidy because households may receive assistance only if they agree to live at a particular public housing project.

Created by the Tax Reform Act of 1986, the Low-Income Housing Tax Credit program (LIHTC) gives State and local LIHTC-allocating agencies the equivalent of nearly $8 billion in annual budget authority to issue tax credits for the acquisition, rehabilitation, or new construction of rental housing targeted to lower-income households. Although some data about the program have been made available by various sources, HUD's database is the only complete national source of information on the size, unit mix, and location of individual projects. With the continued support of the national LIHTC database, HUD hopes to enable researchers to learn more about the effects of the tax credit program.HUD has no administrative authority over the LIHTC program. IRS has authority at the federal level and it is structured so that the states truly administer the program. The LIHTC property locations depicted in this map service represent the general location of the property. The locations of individual buildings associated with each property are not depicted here. The location of the property is derived from the address of the building with the most units. 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 the Low-Income Housing Tax Credit Program 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_Low Income Tax Credit Program

NCHS has linked 1999-2018 National Health Interview Survey (NHIS) and 1999-2018 National Health and Nutrition Examination Survey (NHANES) to administrative data through 2019 for the Department of Housing and Urban Development’s (HUD) largest housing assistance programs: the Housing Choice Voucher program, public housing, and privately owned, subsidized multifamily housing. Linkage of NCHS survey participants with HUD administrative records provides the opportunity to examine relationships between housing and health.