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 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.

Graph and download economic data for Government subsidies: Housing and community services (G170871A027NBEA) from 1959 to 2023 about community, subsidies, government, services, housing, GDP, and USA.

Graph and download economic data for Government current expenditures: Housing and community services (G160261A027NBEA) from 1959 to 2023 about community, expenditures, government, services, housing, GDP, and USA.

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. These dataset give the community of housing analysts the opportunity to use a consistent set of affordability measures. The most recent year HADS is available as a Public Use File (PUF) is 2013. For 2015 and beyond, HADS is only available as an IUF and can no longer be released on a PUF. Those seeking access to more recent data should reach to the listed point of contact.

The NYC Department of City Planning’s (DCP) Housing Database contains all NYC Department of Buildings (DOB) approved housing construction and demolition jobs filed or completed in NYC since January 1, 2010. It includes the three primary 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. Records in the Housing Database Project-Level Files are geocoded to the greatest level of precision possible, subject to numerous quality assurance and control checks, recoded for usability, and joined to other housing data sources relevant to city planners and analysts. Data are updated semiannually, at the end of the second and fourth quarters of each year. Please see DCP’s annual Housing Production Snapshot summarizing findings from the 21Q4 data release here. Additional Housing and Economic analyses are also available. The NYC Department of City Planning’s (DCP) Housing Database Unit Change Summary Files provide the net change in Class A housing units since 2010, and the count of units pending completion for commonly used political and statistical boundaries (Census Block, Census Tract, City Council district, Community District, Community District Tabulation Area (CDTA), Neighborhood Tabulation Area (NTA). These tables are aggregated from the DCP Housing Database Project-Level Files, 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. These files can be used to determine the change in legal housing units across time and space.

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.

Thumbnail image by Tony Moody.This dataset includes all housing developments approved by the City of Boise’s (“city”) Planning Division since 2020 that are known by the city to have received or are expected to receive support or incentives from a government entity. Each row represents one development. Data may be unavailable for some projects and details are subject to change until construction is complete. Addresses are excluded for projects with fewer than five homes for privacy reasons.

The dataset includes details on the number of “homes” in a development. We use the word "home" to refer to any single unit of housing regardless of size, type, or whether it is rented or owned. For example, a building with 40 apartments counts as 40 homes, and a single detached house counts as one home.

The dataset includes details about the phase of each project. The process for build a new development is as follows: First, one must receive approval from the city’s Planning Division, which is also known as being “entitled.” Next, one must apply for and receive a permit from the city’s Building Division before beginning construction. Finally, once construction is complete and all city inspections have been passed, the building can be occupied.

The dataset also includes data on the affordability level of each development. To receive a government incentive, a developer is typically required to rent or sell a specified number of homes to households that have an income below limits set by the government and their housing cost must not exceed 30% of their income. The federal government determines income limits based on a standard called “area median income.” The city considers housing affordable if is targeted to households earning at or below 80% of the area median income. For a three-person household in Boise, that equates to an annual income of $60,650 and monthly rent or mortgage of $1,516. See Boise Income Guidelines for more details.Project Address(es) – Includes all addresses that are included as part of the development project.Address – The primary address for the development.Parcel Number(s) – The identification code for all parcels of land included in the development.Acreage – The number of acres for the parcel(s) included in the project.Planning Permit Number – The identification code for all permits the development has received from the Planning Division for the City of Boise. The number and types of permits required vary based on the location and type of development.Date Entitled – The date a development was approved by the City’s Planning Division.Building Permit Number – The identification code for all permits the development has received from the city’s Building Division.Date Building Permit Issued – Building permits are required to begin construction on a development.Date Final Certificate of Occupancy Issued – A certificate of occupancy is the final approval by the city for a development, once construction is complete. Not all developments require a certificate of occupancy.Studio – The number of homes in the development that are classified as a studio. A studio is typically defined as a home in which there is no separate bedroom. A single room serves as both a bedroom and a living room.1-Bedroom – The number of homes in a development that have exactly one bedroom.2-Bedroom – The number of homes in a development that have exactly two bedrooms.3-Bedroom – The number of homes in a development that have exactly three bedrooms.4+ Bedroom – The number of homes in a development that have four or more bedrooms.# of Total Project Units – The total number of homes in the development.# of units toward goals – The number of homes in a development that contribute to either the city’s goal to produce housing affordable at or under 60% of area median income, or the city’s goal to create permanent supportive housing for households experiencing homelessness.Rent at or under 60% AMI - The number of homes in a development that are required to be rented at or below 60% of area median income. See the description of the dataset above for an explanation of area median income or see Boise Income Guidelines for more details. Boise defines a home as “affordable” if it is rented or sold at or below 80% of area median income.Rent 61-80% AMI – The number of homes in a development that are required to be rented at between 61% and 80% of area median income. See the description of the dataset above for an explanation of area median income or see Boise Income Guidelines for more details. Boise defines a home as “affordable” if it is rented or sold at or below 80% of area median income.Rent 81-120% AMI - The number of homes in a development that are required to be rented at between 81% and 120% of area median income. See the description of the dataset above for an explanation of area median income or see Boise Income Guidelines for more details.Own at or under 60% AMI - The number of homes in a development that are required to be sold at or below 60% of area median income. See the description of the dataset above for an explanation of area median income or see Boise Income Guidelines for more details. Boise defines a home as “affordable” if it is rented or sold at or below 80% of area median income.Own 61-80% AMI – The number of homes in a development that are required to be sold at between 61% and 80% of area median income. See the description of the dataset above for an explanation of area median income or see Boise Income Guidelines for more details. Boise defines a home as “affordable” if it is rented or sold at or below 80% of area median income.Own 81-120% AMI - The number of homes in a development that are required to be sold at between 81% and 120% of area median income. See the description of the dataset above for an explanation of area median income or see Boise Income Guidelines for more details.Housing Land Trust – “Yes” if a development receives or is expected to receive this incentive. The Housing Land Trust is a model in which the city owns land that it leases to a developer to build affordable housing.City Investment – “Yes” if the city invests funding or contributes land to an affordable development.Zoning Incentive - The city's zoning code provides incentives for developers to create affordable housing. Incentives may include the ability to build an extra floor or be subject to reduced parking requirements. “Yes” if a development receives or is expected to receive one of these incentives.Project Management - The city provides a developer and their design team a single point of contact who works across city departments to simplify the permitting process, and assists the applicants in understanding the city’s requirements to avoid possible delays. “Yes” if a development receives or is expected to receive this incentive.Low-Income Housing Tax Credit (LIHTC) - A federal tax credit available to some new affordable housing developments. The Idaho Housing and Finance Association is a quasi-governmental agency that administers these federal tax credits. “Yes” if a development receives or is expected to receive this incentive.CCDC Investment - The Capital City Development Corp (CCDC) is a public agency that financially supports some affordable housing development in Urban Renewal Districts. “Yes” if a development receives or is expected to receive this incentive. If “Yes” the field identifies the Urban Renewal District associated with the development.City Goal – The city has set goals to produce housing affordable to households at or below 60% of area median income, and to create permanent supportive housing for households experiencing homelessness. This field identifies whether a development contributes to one of those goals.Project Phase - The process for build a new development is as follows: First, one must receive approval from the city’s Planning Division, which is also known as being “entitled.” Next, one must apply for and receive a permit from the city’s Building Division before beginning construction. Finally, once construction is complete and all city inspections have been passed, the building can be occupied.

In 2023, the Indonesian government funded around 229,000 housing units under the housing financing liquidity facility (Fasilitas Likuiditas Pembiayaan Perumahan/FLPP) program. The housing financing liquidity facility is a program from the Ministry of Public Works and Public Housing to help low-income citizens buy their own homes.

The HOME Investment Partnerships Program (HOME) provides formula grants to states and localities that communities use - often in partnership with local nonprofit groups - to fund a wide range of activities including building, buying, and/or rehabilitating affordable housing for rent or homeownership or providing direct rental assistance to low-income people. HOME is the largest federal block grant to state and local governments designed exclusively to create affordable housing for low-income households.Authorized under Title II of the Cranston-Gonzalez National Affordable Housing Act, the HOME Investment Partnership Program (HOME) is designed exclusively to create affordable housing for low-income households. Each year the HOME Program allocates approximately $2 billion to fund the development, purchase, or rehabilitation of affordable housing, and to provide direct rental assistance. To learn more about the HOME program visit: https://www.hud.gov/program_offices/comm_planning/home, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data Dictionary: DD_HOME Grantee Areas

Date of Coverage: Q1 FY 2025

The data provided herein denotes the estimated service areas for all Public Housing Authorities (PHA) receiving assistance through the U.S. Department of Housing and Urban Development (HUD) (excluding Guam, the Marshall Islands, and the U.S. Virgin Islands). HUD’s Office of Policy Development and Research (PD&R) developed this dataset in response to repeated requests from HUD staff, researchers, and external partners. This is an experimental dataset that is designed to aid researchers in studying the HUD-funded Public Housing and Housing Choice Voucher programs. The methodology and the service areas themselves have not been validated by HUD’s Office of Public and Indian Housing (PIH) or the Public Housing Agencies. PD&R welcomes engagement from internal and external stakeholders on the continued refinement and development of this dataset. Please send any comments or questions to GISHelpDesk@hud.gov. Standards used to estimate PHA primary service areas are as follows: State-Level Public Housing Authorities:For the purposes of this dataset State-Level PHAs are identified through either their name, or their PHA Code also known as the Participant Code. Any PHA whose name contains the word “State”, or whose PHA Code begins with a ‘9’ (not including the two-character state code that begins the PHA code) is considered a State-Level PHA, and the service area therefore includes the entirety of that state. County-Level Public Housing Authorities:For the purposes of this dataset County-Level PHAs are identified as any PHA containing the word ‘County’ or ‘COUNTY’ in the organization’s formal name. The service area of a County-Level PHA includes the entire county after which the PHA is named, or the county which contains the majority of the units (combined low-rent and voucher) administered by the PHA. Moreover, a PHA that administers units located in jurisdictions outside the county for which the PHA is named, or the county which contains the majority of the units administered by the PHA, does not include those extraterritorial jurisdictions as part of its service area . Subsequently, the estimated service areas of housing authorities operating at a regional level, that is operating in multiple counties (contiguous or otherwise), are relegated to a single county. Local-Level Public Housing Authorities:For the purposes of this dataset Local-Level PHAs are identified as any PHA that does not fall into the category of State-Level or County-Level Public Housing Authority as described above. The service area for a Local-Level PHA is first defined as the primary Unit of General Local Government (UGLG) served by the PHA. The primary local government jurisdiction is defined as the UGLG that contains the largest share of total units (combined low-rent and voucher) administered by that PHA. However, in cases where greater than 20% of units administered by that PHA are located outside of the primary local government jurisdiction served by the PHA, the PHA’s service area is defined as the entirety of the county that the primary local government is located in.Please note, that the methods used to compile the estimated local PHA service areas illustrated in this dataset remain the same regardless of a state’s allowance for state-wide voucher portability.

The data provided herein denotes the estimated service areas for all Public Housing Authorities (PHA) receiving assistance through the U.S. Department of Housing and Urban Development (HUD) (excluding Guam, the Marshall Islands, and the U.S. Virgin Islands). HUD’s Office of Policy Development and Research (PD&R) developed this dataset in response to repeated requests from HUD staff, researchers, and external partners. This is an experimental dataset that is designed to aid researchers in studying the HUD-funded Public Housing and Housing Choice Voucher programs. The methodology and the service areas themselves have not been validated by HUD’s Office of Public and Indian Housing (PIH) or the Public Housing Agencies. PD&R welcomes engagement from internal and external stakeholders on the continued refinement and development of this dataset. Please send any comments or questions to GISHelpDesk@hud.gov. Standards used to estimate PHA primary service areas are as follows: State-Level Public Housing Authorities:For the purposes of this dataset State-Level PHAs are identified through either their name, or their PHA Code also known as the Participant Code. Any PHA whose name contains the word “State”, or whose PHA Code begins with a ‘9’ (not including the two-character state code that begins the PHA code) is considered a State-Level PHA, and the service area therefore includes the entirety of that state. County-Level Public Housing Authorities:For the purposes of this dataset County-Level PHAs are identified as any PHA containing the word ‘County’ or ‘COUNTY’ in the organization’s formal name. The service area of a County-Level PHA includes the entire county after which the PHA is named, or the county which contains the majority of the units (combined low-rent and voucher) administered by the PHA. Moreover, a PHA that administers units located in jurisdictions outside the county for which the PHA is named, or the county which contains the majority of the units administered by the PHA, does not include those extraterritorial jurisdictions as part of its service area . Subsequently, the estimated service areas of housing authorities operating at a regional level, that is operating in multiple counties (contiguous or otherwise), are relegated to a single county. Local-Level Public Housing Authorities:For the purposes of this dataset Local-Level PHAs are identified as any PHA that does not fall into the category of State-Level or County-Level Public Housing Authority as described above. The service area for a Local-Level PHA is first defined as the primary Unit of General Local Government (UGLG) served by the PHA. The primary local government jurisdiction is defined as the UGLG that contains the largest share of total units (combined low-rent and voucher) administered by that PHA. However, in cases where greater than 20% of units administered by that PHA are located outside of the primary local government jurisdiction served by the PHA, the PHA’s service area is defined as the entirety of the county that the primary local government is located in.Please note, that the methods used to compile the estimated local PHA service areas illustrated in this dataset remain the same regardless of a state’s allowance for state-wide voucher portability.

DC government is making historic investments in affordable housing, home ownership programs and housing preservation. We're working to ensure that people of all backgrounds and at all stages of life can live and thrive in Washington, DC.

The Fair Housing Initiatives Program (FHIP) is a competitive grant program established by the Housing and Community Development Act of 1987 (42 U.S.C. 3616) which allows for grants to private non-profit organizations to assist with issues of housing discrimination. FHIP organizations partner with HUD to help people identify government agencies that handle complaints of housing discrimination. They also conduct preliminary investigation of claims which may include the use of "testers" (financially identical, but racially dissimilar applicants) to evaluate properties suspected of practicing housing discrimination. To learn more about the Fair Housing Initiatives Program (FHIP) visit: https://www.hud.gov/program_offices/fair_housing_equal_opp/partners/FHIP/fhip, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data Dictionary: DD_Fair Housing Initiatives Program (FHIP)

Date of Coverage: FY2023

This map shows households that spend 30 percent or more of their income on housing, a threshold widely used by many affordable housing advocates and official government sources including Housing and Urban Development. Census asks about income and housing costs to understand whether housing is affordable in local communities. When housing is not sufficient or not affordable, income data helps communities: Enroll eligible households in programs designed to assist them.Qualify for grants from the Community Development Block Grant (CDBG), HOME Investment Partnership Program, Emergency Solutions Grants (ESG), Housing Opportunities for Persons with AIDS (HOPWA), and other programs.When rental housing is not affordable, the Department of Housing and Urban Development (HUD) uses rent data to determine the amount of tenant subsidies in housing assistance programs.Map opens in Atlanta. Use the bookmarks or search bar to view other cities. Data is symbolized to show the relationship between burdensome housing costs for owner households with a mortgage and renter households:This map uses these hosted feature layers containing the most recent American Community Survey data. These layers are part of the ArcGIS Living Atlas, and are updated every year when the American Community Survey releases new estimates, so values in the map always reflect the newest data available.

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 State Date of Coverage: 2016-2020