Small Area Fair Market Rents (SAFMRs) are FMRs calculated for ZIP Codes within Metropolitan Areas. Small Area FMRs are required to be used to set Section 8 Housing Choice Voucher payment standards in areas designated by HUD (available here). Other Housing Agencies operating in non-designated metropolitan areas may opt-in to the use of Small Area FMRs. Furthermore, Small Area FMRs may be used as the basis for setting Exception Payment Standards – PHAs may set exception payment standards up to 110 percent of the Small Area FMR. PHAs administering Public Housing units may use Small Area FMRs as an alternative to metropolitan area-wide FMRs when calculating Flat Rents. Please See HUD’s Small Area FMR Final Rule for additional information regarding the uses of Small Area FMRs.Note that this service does not denote precise SAFMR geographies. Instead, the service utilizes a relationship class to associate the information for each SAFMR with the FMR areas that its ZCTA overlaps. For example, ZCTA 94558 overlaps the Santa Rosa, Napa, and Vallejo-Fairfield MSAs. Selecting that ZCTA will reveal the SAFMR information associated with each FMR area.

  To learn more about the Small Area Fair Market Rents visit: https://www.huduser.gov/portal/datasets/fmr/smallarea/index.html, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Date of Coverage: Fiscal Year 2025Date Update: 01/2025

HOME Income Limits are calculated using the same methodology that HUD uses for calculating the income limits for the Section 8 program. These limits are based on HUD estimates of median family income, with adjustments based on family size. The Department's methodology for calculating nationwide median family income figures is described in Notice PDR-2001-01. For more information about how HUD calculates the HOME Program income limits, visit huduser.gov, the website for HUD's Office of Policy Development and Research, for more general information.

HUD’s Office of Policy Development and Research (PD&R) is pleased to announce that Fair Market Rents and Income Limits data are now available via an application programming interface (API). With this API, developers can easily access and customize Fair Market Rents and Income Limits data for use in existing applications or to create new applications. To create an account and get an access token, please visit the API page here: https://www.huduser.gov/portal/dataset/fmr-api.html. The Department of Housing and Urban Development (HUD) sets income limits that determine eligibility for assisted housing programs including the Public Housing, Section 8 project-based, Section 8 Housing Choice Voucher, Section 202 housing for the elderly, and Section 811 housing for persons with disabilities programs. HUD develops income limits based on Median Family Income estimates and Fair Market Rent area definitions for each metropolitan area, parts of some metropolitan areas, and each non-metropolitan county.

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 Place Date of Coverage: 2016-2020

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

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.

Median family income (MFI) is calculated annually by the U.S. Department of Housing and Urban Development (HUD) to help set income limits that determine eligibility for assisted housing programs. HUD uses the median income from the American Community Survey (ACS) as a baseline and then factors in the national consumer price index and other variables to establish an area MFI. For more information about how HUD calculates this value, please visit: https://www.huduser.gov/portal/datasets/il.html

Text source: https://www.huduser.gov/portal/datasets/HOME-Income-limits.htmlLanding page description:HOME Income Limits data are available from FY 1998 to the present. The HOME Income Limits are calculated using the same methodology that HUD uses for calculating the income limits for the Section 8 program, in accordance with Section 3(b)(2) of the U.S. Housing Act of 1937, as amended. These limits are based on HUD estimates of median family income, with adjustments based on family size. Please note that the 30 percent income limits for the HOME program have been calculated based on the definition of Extremely Low–Income Family (ELI) as described in Consolidated Submission for CPD Programs section of 24 CFR part 91.5. Therefore, the ELI Limit is calculated as 30 percent of median family income for the area and may not be the same as the Section 8 ELI Limit for your jurisdiction. The Section 8 Limit is calculated based on the definition of ELI as described in The 2014 Consolidated Appropriations Act, (Section 238 on page 128 Stat 635) which defines ELI as very low–income families whose incomes do not exceed the higher of the Federal poverty level or 30% of area median income. Family sizes in excess of 8 persons are calculated by adding 8% of the four-person income limit for each additional family member. That is, a 9-person limit should be 140% of the 4-person limit, the 10-person limit should be 148%.The HOME income limit values for large households (9-12 persons) must be rounded to the nearest $50. Therefore, all values from 1 to 24 are rounded down to 0, and all values from 25 to 49 are rounded up to 50.Note: The FY 2024 HOME Income Limits effective date is June 01, 2024.

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 dataset provides data on Qualified Census Tracts for the Low-Income Housing Tax Credit Program for 2024. LIHTC Qualified Census Tracts, as defined under the section 42(d)(5)(C) of the of the Internal Revenue Code of 1986, include any census tract (or equivalent geographic area defined by the Bureau of the Census) in which at least 50 percent of households have an income less than 60 percent of the Area Median Gross Income (AMGI), or which has a poverty rate of at least 25 percent. Maps of Qualified Census Tracts and Difficult Development Areas are available at: huduser.gov/sadda/sadda_qct.html .

Small Area Fair Market Rent Demonstration Evaluation Datahttps://www.huduser.gov/portal/datasets/SAFMR-demonstration-evaluation-data.html

This layer includes the polygon boundaries Payment Standards based on the 2025 HUD Small Area Fair Market Rent (SAFMR) amounts for all zipcodes in Metro HRA's Housing Choice Voucher program service area. Detailed information and background documentation regarding SAFMRs can be found at https://www.huduser.gov/portal/datasets/fmr/smallarea/

This dataset contains data on permits for residential construction collected in the Census Bureau's Building Permits Survey. Data is aggregated to the county level. Data is only for final permits, not preliminary permits. Final permit data is published in May of the following year. Annual data are available from 1980 through the most recent reporting year, and may also contain imputed values. This dataset is part of the State of the Cities Data Systems (SOCDS).To retrieve the full database, including monthly permit totals and permit totals by metropolitan statistical area or municipalities, please visit: https://socds.huduser.gov/permits/To learn more about the Residential Construction Permit SOCDS, please visit: https://socds.huduser.gov/permits/help.htm, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data Dictionary: DD_Residential Construction Permits by CountyDate of Coverage: 1980 - 2022

The U.S. Housing and Urban Development (HUD) maintains data for Qualified Census Tracts (QCT). Low-Income Housing Tax Credit Qualified Census Tracts must have 50 percent of households with incomes below 60 percent of the Area Median Gross Income (AMGI) or have a poverty rate of 25 percent or more. This layer contains all Census Tracts in LA County, with QCT marked as "Yes" and tracts that are not QCT as "No."This layer is an export of the 2025 data. Source data is updated annually. Data are at the 2020 census tract geography level. These have been joined to Supervisorial Districts 2021 and SPAs 2022, based on a "majority in" spatial join.To learn more: https://www.huduser.gov/portal/datasets/qct.htmlFor more information, please contact egis@isd.lacounty.gov.

This feature data depicts, by census tract, the overcrowding status of owner and renter occupied housing units for the San Francisco Bay Region. The source data used to produce this data layer is Table 10 of the Comprehensive Housing Affordability Strategy (CHAS) data produced by the United States Department of Housing and Urban Development (HUD) and released on September 29, 2021. HUD used 2014-2018 American Community Survey (ACS 2018) data to update its 2006-2017 CHAS data. The Metropolitan Transportation Commission (MTC) made a number of changes to the source data to produce this feature set.

To produce this feature set, the MTC joined the source table to a Census 2010 tract polygon feature set. The joined feature set was then exported to create a feature set representing the average number of persons per room for owner and renter housing units in the San Francisco Bay Region.

The resulting attribute table had all fields from the source table that were not needed deleted and the remaining field names were changed. In addition, MTC added the jurisdiction (incorporated city/town or unincorporated county) name the tract is within. Percent fields were also added for each owner and renter column that provide the source field's percent of all housing units for the tract.

The source table used to develop this feature service was downloaded from https://www.huduser.gov/portal/datasets/cp.html#2006-2017_data

About the CHAS Each year, HUD receives custom tabulations of ACS data from the United States Census Bureau. These data, known as the "CHAS" data, demonstrate the extent of housing problems and housing needs, particularly for low income households. The CHAS data are used by local governments to plan how to spend HUD funds, and may also be used by HUD to distribute grant funds. For more background on the CHAS data, including data documentation and a list of updates and corrections to previously released data.

HUD definitions for overcrowding: ● Overcrowded - More than 1 person per room ● Severely overcrowded - More than 1.5 persons per room

City map highlighting 2023 qualified census tracts (QCT) in Mesa. Low-Income Housing Tax Credit Qualified Census Tracts must have 50 percent of households with incomes below 60 percent of the Area Median Gross Income (AMGI) or have a poverty rate of 25 percent or more. Maps of Qualified Census Tracts are available at: https://www.huduser.gov/portal/datasets/qct.html

The Department of Housing and Urban Development (HUD) identifies low-vacancy areas for purposes of funding the Tenant-Protection Vouchers (TPVs) set-aside for certain at-risk households in low-vacancy areas. The Department has set low-vacancy areas at the county level as described in the “Definitions and Methodology” section below.HUD will publish updated low-vacancy areas annually. Low-vacancy lists will be effective for one year, from July 1-June 30. The county where the project is located must be listed in the low-vacancy list in effect as of the date of application submission to be eligible for TPV set-aside funding. Applicants may find more information about the TPV set-aside process and requirements at Notice PIH 2019-01/H 2019-02. As indicated by HUD in Notice PIH 2022-14, Notice PIH 2019-01/H2019-02 continues to apply.Definitions and MethodologyLow-vacancy areas are set at the county level using occupancy rates for public housing and multifamily assisted properties. Occupancy data at the project level are obtained from the most recent Picture of Subsidized Households Report (https://www.huduser.gov/portal/datasets/assthsg.html). To ensure that vacancy rates are only counted for high quality units, the occupancy data is matched to the most recent Physical Inspection Scores data (https://www.huduser.gov/portal/datasets/pis.html) for both public housing and multifamily assisted properties. Properties with inspection scores below 60 are removed from the sample, as are properties that are missing inspection scores or occupancy rates.Project-level data is aggregated to the county level, and the total occupancy rate for each county is calculated. County-level occupancy rates are used for the determination of eligibility for TPV set-aside funding as long as at least ten units of public housing and multifamily assisted housing are included in the dataset. If a county within a Core-Based Statistical Area (CBSA) has less than ten units, the CBSA-level occupancy rate is used. For counties outside of CBSAs with less than ten units, state non-CBSA totals are used to calculate occupancy rates, while the national non-CBSA occupancy rate is used for counties in states with only CBSA counties or a state non-CBSA unit count below ten.For the purposes of the TPV set-aside, a low-vacancy area is defined to be an area with an occupancy rate for public housing and multifamily assisted properties greater than or equal to 90 percent.

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

HUD’s Office of Policy Development and Research (PD&R) announced that HUD-USPS ZIP Code Crosswalk data are now available via an application programming interface (API). With this API, developers can easily access and customize crosswalk data for use in existing applications or to create new applications. To create an account and get an access token, please visit the API page here: https://www.huduser.gov/portal/dataset/uspszip-api.html.

Since passage of the U.S. Housing Act of 1937, the federal government has provided housing assistance to low-income renters. Most of these housing subsidies were provided under programs administered by the U.S. Department of Housing and Urban Development (HUD) or predecessor agencies. All programs covered in this report provide subsidies that reduce rents for low-income tenants who meet program eligibility requirements. Generally, households pay rent equal to 30 percent of their incomes, after deductions, while the federal government pays the remainder of rent or rental costs. To qualify for a subsidy, an applicant’s income must initially fall below a certain income limit. These income limits are HUD-determined, location specific, and vary by household size. Applicants for housing assistance are usually placed on a waiting list until a subsidized unit becomes available.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.Currently, tenant based assistance is the most prevalent form of housing assistance provided. Historically, tenant based assistance began with the Section 8 certificate and voucher programs, which were created in 1974 and 1983, respectively. These programs were replaced by the Housing Choice Voucher program, under legislation enacted in 1998. Tenant based programs allow participants to find and lease housing in the private market. Local public housing agencies (PHAs) and some state agencies serving as PHAs enter into contracts with HUD to administer the programs. The PHAs then enter into contracts with private landlords. The housing must meet housing quality standards and other program requirements. The subsidies are used to supplement the rent paid by low-income households. Under tenant-based programs, assisted households may move and take their subsidy with them. The primary difference between certificates and vouchers is that under certificates, there was a maximum rent which the unit may not exceed. By contrast, vouchers have no specific maximum rent; the low-income household must pay any excess over the payment standard, an amount that is determined locally and that is based on the Fair Market Rent. HUD calculates the Fair Market Rent based on the 40th percentile of the gross rents paid by recent movers for non-luxury units meeting certain quality standards.The third major type of HUD rental assistance is a collection of programs generally referred to as multifamily assisted, or, privately-owned, project-based housing. These types of housing assistance fall under a collection of programs created during the last four decades. What these programs have in common is that they provide rental housing that is owned by private landlords who enter into contracts with HUD in order to receive housing subsidies. The subsidies pay the difference between tenant rent and total rental costs. The subsidy arrangement is termed project-based because the assisted household may not take the subsidy and move to another location. The single largest project-based program was the Section 8 program, which was created in 1974. This program allowed for new construction and substantial rehabilitation that was delivered through a wide variety of financing mechanisms. An important variant of project-based Section 8 was the Loan Management Set Aside (LMSA) program, which was provided in projects financed under Federal Housing Administration (FHA) programs that were not originally intended to provide deep subsidy rental assistance. Projects receiving these LMSA “piggyback” subsidies were developed under the Section 236 program, the Section 221(d)(3) Below Market Interest Rate (BMIR) program, and others that were unassisted when originally developed.Picture of Subsidized Households does not cover other housing