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.

Fair Market Rents (FMRs) represent the estimated amount (base rent + essential utilities) that a property in a given area typically rents for. The data is primarily used to determine payment standard amounts for the Housing Choice Voucher program; however, FMRs are also used to:

Determine initial renewal rents for expiring project-based Section 8 contracts;

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 (ESG) program;

Calculate 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;

Calculate flat rent amounts in Public Housing Units.

Data is updated annualy in accordance with 42 USC 1437f which 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, October 1st.In order to calculate rents for units with more than four bedrooms, an extra 15% cost is added to the four bedroom unit value. The formula is to multiply the four bedroom rent by 1.15. For example, in FY21 the rent for a four bedroom unit in the El Centro, California Micropolitan Statistical Area is $1,444. The rent for a five bedroom unit would be $1,444 * 1.15 or $1,661. Each subsequent bedroom is an additional 15%. A six bedroom unit would be $1,444 * 1.3 or $1,877. These values are not included in the feature service.

To learn more about Fair Market Rents visit: https://www.huduser.gov/portal/datasets/fmr.html/, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data Dictionary: DD_Fair Market Rents

Date of Coverage: FY2024 : Oct. 1 - Sept. 30

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).

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

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 Tract Date of Coverage: 2016-2020

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.

2003 FMR (Fair Market Rents) dataset for Virginia from hud.gov. Includes: "Final Data
Federal Register: Preamble and published tables in pdf, dated September 30, 2002 (.pdf 3.47MB). Errata: Federal Register published in pdf, dated October 22, 2002 (.pdf 38KB). County Level Data File As revised by Errata dated 10/22/2002. FMR Area Data File As revised by Errata dated 10/22/2002.

Proposed Data Federal Register: Preamble and published tables in pdf, dated May 23, 2002. Data File: MS Excel or EXECUTABLE FILE. When extracted the *.exe file produces a dBASE III file and a text file that explains the fields of the *.dbf file.. Data File: DBASE III FILE. ***Netscape does not support the download *.dbf files. If you are using Netscape download the .exe above."

***i left this user agent specification in for historical sake

http://www.huduser.org/portal/datasets/fmr/fmr2003F/index.html

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.

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

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

Denotes the service areas, and pertinent information associated with HUD's Regional Field Offices.HUD is organized into 10 Regions where each Region is managed by a Regional Administrator, who also oversees the Regional Office. Each Field Office within a Region is managed by a Field Office Director, who reports to the Regional Administrator. There is at least one HUD Field Office in every State and a total of 10 Regional Offices. Staff who answer the main office telephone will be able to respond to or direct your calls to the appropriate person.To learn more about the HUD Field Office Locations visit: https://www.huduser.gov/portal/regions/Regional.html, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data Dictionary: DD_HUD Field Office JurisdictionsDate of Coverage: Current

2012 FMR (Fair Market Rents)

Final Data (Effective October 1, 2011) Federal Register Preamble (.pdf, 153 KB) HUD’s Preliminary Response To Comments (.doc, 73 KB) Schedule B – FMR Tables (.pdf, 1.58 MB), (.doc, 364 KB) Schedule B addendum – Dallas Zip Codes (.pdf, 259 KB) Schedule D – Manufactured Housing Exception (.pdf, 65 KB) County Level Data File (*.xls, 1.19 MB)

Proposed Data Federal Register Preamble (.pdf, 107 KB) Schedule B – FMR Tables (.pdf, 1.57 MB) Schedule B addendum – Dallas Zip Codes, as published (.pdf, 125 KB) Schedule D – Manufactured Housing Exception (.pdf, 20 KB) County Level Data File (*.xls, 3.43 MB)

http://www.huduser.org/portal/datasets/fmr/fmr2012f/index.html

City map highlighting 2024 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 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.

2011 Small Area FMRs hud.gov dataset covering the commonwealth of Virginia.
reference:
http://www.huduser.org/portal/datasets/fmr/smallarea/index.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/

Neighborhood Stabilization Program DataHUD's Neighborhood Stabilization Program (www.hud.gov/nsp) provides emergency assistance to state and local governments to acquire and redevelop foreclosed properties that might otherwise become sources of abandonment and blight within their communities. The Neighborhood Stabilization Program (NSP) provides grants to every state, certain local communities, and other organizations to purchase foreclosed or abandoned homes and to rehabilitate, resell, or redevelop these homes in order to stabilize neighborhoods and stem the decline of house values of neighboring homes. The program is authorized under Title III of the Housing and Economic Recovery Act of 2008.There have been three rounds of funding for NSP. The Housing and Economic Recovery Act of 2008 provided a first round of formula funding to States and units of general local government, and is referred to herein as NSP1. The American Recovery and Reinvestment Act provided a second round of funds in 2009 awarded by competition, and is referred to herein as NSP2. The third round of funding, NSP3, was provided in 2010 as part of the Dodd-Frank Wall Street Reform Act and was allocated by formula.LMMI Block GroupsSee the data download feature under NSP3 to obtain the low-, moderate-, and middle-income (less than 120% of area median family income).

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

The Office of Community Development manages federal grant money given to New Orleans by taking, selecting, and distributing funds to local service providers. Data below represents funding from the following HUD grants: HOME Investment Partnership Program (HOME) - Owner-occupied Rehabilitation Program, Rental Rehabilitation Program and the CDBG Disaster Recovery Grant - Homebuyer Soft Second Mortgage Program.