43 datasets found
  1. Fair Market Rents lookup tool

    • catalog.data.gov
    Updated Mar 1, 2024
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    U.S. Department of Housing and Urban Development (2024). Fair Market Rents lookup tool [Dataset]. https://catalog.data.gov/dataset/fair-market-rents-for-the-section-8-housing-assistance-payments-program
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    Dataset updated
    Mar 1, 2024
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Description

    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).

  2. 50th Percentile Rent Estimates

    • catalog.data.gov
    • datadiscoverystudio.org
    • +2more
    Updated Mar 1, 2024
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    U.S. Department of Housing and Urban Development (2024). 50th Percentile Rent Estimates [Dataset]. https://catalog.data.gov/dataset/50th-percentile-rent-estimates
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    Dataset updated
    Mar 1, 2024
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Description

    Rent estimates at the 50th percentile (or median) are calculated for all Fair Market Rent areas. Fair Market Rents (FMRs) are primarily 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), and to serve as a rent ceiling in the HOME rental assistance program. FMRs are gross rent estimates. They include the shelter rent plus the cost of all tenant-paid utilities, except telephones, cable or satellite television service, and internet service. The U.S. Department of Housing and Urban Development (HUD) annually estimates FMRs for 530 metropolitan areas and 2,045 nonmetropolitan county FMR areas. Under certain conditions, as set forth in the Interim Rule (Federal Register Vol. 65, No. 191, Monday October 2, 2000, pages 58870-58875), these 50th percentile rents can be used to set success rate payment standards.

  3. T

    1983-2014_Fair Market Rents All Bedroom Unit data

    • data.opendatanetwork.com
    application/rdfxml +5
    Updated May 13, 2014
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    HUD (2014). 1983-2014_Fair Market Rents All Bedroom Unit data [Dataset]. https://data.opendatanetwork.com/Statistics/1983-2014_Fair-Market-Rents-All-Bedroom-Unit-data/wknb-imju
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    application/rdfxml, json, csv, tsv, application/rssxml, xmlAvailable download formats
    Dataset updated
    May 13, 2014
    Dataset authored and provided by
    HUD
    Description

    Fair Market Rents (FMRs) are primarily 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), and to serve as a rent ceiling in the HOME rental assistance program. Data from 1983-Present.

  4. Fair Market Rents

    • data.lojic.org
    • hub.arcgis.com
    Updated Dec 6, 2023
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    Department of Housing and Urban Development (2023). Fair Market Rents [Dataset]. https://data.lojic.org/datasets/12d2516901f947b5bb4da4e780e35f07
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    Dataset updated
    Dec 6, 2023
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Authors
    Department of Housing and Urban Development
    Area covered
    Description

    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

  5. V

    Virginia Fair Market Rent for 2024 - 2025

    • data.virginia.gov
    xlsx
    Updated Dec 9, 2024
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    Other (2024). Virginia Fair Market Rent for 2024 - 2025 [Dataset]. https://data.virginia.gov/dataset/virginia-fair-market-rent-for-2021
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    xlsx(26912)Available download formats
    Dataset updated
    Dec 9, 2024
    Dataset authored and provided by
    Other
    Area covered
    Virginia
    Description

    Virginia (VA) has the 19th highest rent in the country out of 56 states and territories. The Fair Market Rent in Virginia ranges from $701 for a 2-bedroom apartment in Grayson County, VA to $1,765 for a 2-bedroom unit in Washington-Arlington-Alexandria, DC-VA-MD HUD Metro FMR Area.

    For FY 2024, the Washington-Arlington-Alexandria, DC-VA-MD HUD Metro FMR Area (Arlington County) rent for a studio or efficiency is $1,772 per month and $3,015 per month to rent a house or an apartment with 4 bedrooms. The average Fair Market Rent for a 2-bedroom home in Virginia is $1,056 per month.

    Approximately 15% of Americans qualify for some level of housing assistance. The population in Virginia is around 2,038,847 people. So, there are around 305,827 people in Virginia who could be receiving housing benefits from the HUD. For FY 2025, the Washington-Arlington-Alexandria, DC-VA-MD HUD Metro FMR Area (Arlington County) rent for a studio or efficiency is $2,012 per month and $3,413 per month to rent a house or an apartment with 4 bedrooms. The average Fair Market Rent for a 2-bedroom home in Virginia is $1,059 per month.

  6. HUD: Home Rent Limits

    • datalumos.org
    Updated Feb 12, 2025
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    United States Department of Housing and Urban Development (2025). HUD: Home Rent Limits [Dataset]. http://doi.org/10.3886/E219166V1
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    Dataset updated
    Feb 12, 2025
    Dataset authored and provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    HOME Rent Limit data are available from FY 1998 to the present. Per 24 CFR Part 92.252, HUD provides the following maximum HOME rent limits. The maximum HOME rents are the lesser of: The fair market rent for existing housing for comparable units in the area as established by HUD under 24 CFR 888.111; or A rent that does not exceed 30 percent of the adjusted income of a family whose annual income equals 65 percent of the median income for the area, as determined by HUD, with adjustments for number of bedrooms in the unit. The HOME rent limits provided by HUD will include average occupancy per unit and adjusted income assumptions. In rental projects with five or more HOME-assisted rental units, twenty (20) percent of the HOME-assisted units must be occupied by very low-income families and meet one of following rent requirements: The rent does not exceed 30 percent of the annual income of a family whose income equals 50 percent of the median income for the area, as determined by HUD, with adjustments for smaller and larger families. HUD provides the HOME rent limits which include average occupancy per unit and adjusted income assumptions. However, if the rent determined under this paragraph is higher than the applicable rent under 24 CFR 92.252(a), then the maximum rent for units under this paragraph is that calculated under 24 CFR 92.252(a). The rent does not exceed 30 percent of the family's adjusted income. If the unit receives Federal or State project-based rental subsidy and the very low-income family pays as a contribution toward rent not more than 30 percent of the family's adjusted income, then the maximum rent (i.e., tenant contribution plus project-based rental subsidy) is the rent allowable under the Federal or State project-based rental subsidy program. Fair Market Rents are established by HUD each year for the Section 8 Program. For more information on the annual calculation of Fair Market Rents, visit the Fair Market Rents page. The FMRs for unit sizes larger than 4 bedroom are calculated by adding 15 percent to the 4 bedroom FMR for each extra bedroom. For example, the FMR for a 5 bedroom unit is 1.15 times the 4 bedroom FMR, and the FMR for a 6 bedroom unit is 1.30 times the 4 bedroom FMR, and so on... 5 BR = 1.15 x 4 BR FMR 6 BR = 1.30 x 4 BR FMR 7 BR = 1.45 x 4 BR FMR 8 BR = 1.60 x 4 BR FMR 9 BR = 1.75 x 4 BR FMR 10 BR = 1.90 x 4 BR FMR 11 BR = 2.05 x 4 BR FMR 12 BR = 2.20 x 4 BR FMR Note: The FY 2024 HOME Rent Limits effective date is June 01, 2024.

  7. HUD 50th Percentile Rents

    • datalumos.org
    Updated Feb 9, 2025
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    United States Department of Housing and Urban Development (2025). HUD 50th Percentile Rents [Dataset]. http://doi.org/10.3886/E218581V1
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    Dataset updated
    Feb 9, 2025
    Dataset authored and provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Rent estimates at the 50th percentile (or median) are calculated for all Fair Market Rent areas. THESE ARE NOT FAIR MARKET RENTS. Under certain conditions, as set forth in the Interim Rule (Federal Register Vol. 65, No. 191, Monday October 2, 2000, pages 58870-58875), these 50th percentile rents can be used to set success rate payment standards.

  8. HUD: Income Limits

    • datalumos.org
    Updated Feb 13, 2025
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    United States Department of Housing and Urban Development (2025). HUD: Income Limits [Dataset]. http://doi.org/10.3886/E219282V1
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    Dataset updated
    Feb 13, 2025
    Dataset authored and provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    1986 - 2024
    Description

    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.

  9. T

    2012_Fair Market Rents: Data By County

    • data.opendatanetwork.com
    application/rdfxml +5
    Updated May 12, 2014
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    Department of Housing and Urban Development (2014). 2012_Fair Market Rents: Data By County [Dataset]. https://data.opendatanetwork.com/w/bzv7-3uwu/default?cur=iosg7W3qZMn&from=ISBkaFCcZqH
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    csv, application/rssxml, xml, json, tsv, application/rdfxmlAvailable download formats
    Dataset updated
    May 12, 2014
    Dataset authored and provided by
    Department of Housing and Urban Development
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    Fair Market Rents (FMRs) are primarily 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), and to serve as a rent ceiling in the HOME rental assistance program. The U.S. Department of Housing and Urban Development (HUD) annually estimates FMRs for 530 metropolitan areas and 2,045 nonmetropolitan county FMR areas. By law the final FMRs for use in any fiscal year must be published and available for use at the start of that fiscal year, on October 1. 2012.

  10. a

    ACS 5YR Housing Estimate Data by State

    • hub.arcgis.com
    • data.lojic.org
    • +2more
    Updated Aug 21, 2023
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    Department of Housing and Urban Development (2023). ACS 5YR Housing Estimate Data by State [Dataset]. https://hub.arcgis.com/maps/HUD::acs-5yr-housing-estimate-data-by-state
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    Dataset updated
    Aug 21, 2023
    Dataset authored and provided by
    Department of Housing and Urban Development
    Area covered
    Description

    The American Community Survey (ACS) 5 Year 2016-2020 housing estimate data is a subset of information derived from the following census tables:B25002 - Occupancy Status; B25009 - Tenure By Household Size;B25021 - Median Number Of Rooms By Tenure; B25024 - Units In Structure;B25032 - Tenure by Units In Structure; B25036 - Tenure By Year Structure Built;B25037 - Median Year Structure Built By Tenure; B25041 – Bedrooms;B25042 - Tenure By Bedrooms;B25056 - Contract Rent;B25058 - Median Contract Rent;B25068 - Bedrooms By Gross Rent;B25077 - Median Value;B25097 - Mortgage Status By Median Value (Dollars), and;B25123 - Tenure By Selected Physical And Financial Conditions.To learn more about the American Community Survey (ACS), and associated datasets visit: https://www.census.gov/programs-surveys/acs, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov.
    Data Dictionary: DD_ACS 5-Year Housing Estimate Data by State Date of Coverage: 2016-2020

  11. 2013 to 2016 Picture of Subsidized Housing Data

    • test.datalumos.org
    • dev.datalumos.org
    • +1more
    delimited
    Updated Aug 10, 2017
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    U.S. Department of Housing and Urban Development (2017). 2013 to 2016 Picture of Subsidized Housing Data [Dataset]. http://doi.org/10.3886/E100906V1
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    delimitedAvailable download formats
    Dataset updated
    Aug 10, 2017
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Authors
    U.S. Department of Housing and Urban Development
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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 subsidy programs, such as those of the U.S. Department of Agriculture’s Rural Housing Service, unless they also receive subsidies referenced above. Other programs such as Indian Housing, HOME and Community Develo

  12. HUD Housing Affordability Data System

    • datalumos.org
    Updated Feb 9, 2025
    + more versions
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    HUD Housing Affordability Data System [Dataset]. https://www.datalumos.org/datalumos/project/218582/view
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    Dataset updated
    Feb 9, 2025
    Dataset authored and provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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

  13. F

    Average Sales Price of Houses Sold for the United States

    • fred.stlouisfed.org
    json
    Updated Apr 23, 2025
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    (2025). Average Sales Price of Houses Sold for the United States [Dataset]. https://fred.stlouisfed.org/series/ASPUS
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    jsonAvailable download formats
    Dataset updated
    Apr 23, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Average Sales Price of Houses Sold for the United States (ASPUS) from Q1 1963 to Q1 2025 about sales, housing, and USA.

  14. u

    50th Percentile Rent Estimates - Catalogue - Canadian Urban Data Catalogue...

    • beta.data.urbandatacentre.ca
    • data.urbandatacentre.ca
    Updated Feb 16, 2023
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    (2023). 50th Percentile Rent Estimates - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://beta.data.urbandatacentre.ca/dataset/50th-percentile-rent-estimates
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    Dataset updated
    Feb 16, 2023
    Description

    Rent estimates at the 50th percentile (or median) are calculated for all Fair Market Rent areas. Fair Market Rents (FMRs) are primarily 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), and to serve as a rent ceiling in the HOME rental assistance program. FMRs are gross rent estimates. They include the shelter rent plus the cost of all tenant-paid utilities, except telephones, cable or satellite television service, and internet service. The U.S. Department of Housing and Urban Development (HUD) annually estimates FMRs for 530 metropolitan areas and 2,045 nonmetropolitan county FMR areas. Under certain conditions, as set forth in the Interim Rule (Federal Register Vol. 65, No. 191, Monday October 2, 2000, pages 58870-58875), these 50th percentile rents can be used to set success rate payment standards.

  15. Hong Kong SAR, China CPI (B): Housing: Rent incl Rates: Public

    • ceicdata.com
    Updated Mar 15, 2023
    + more versions
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    CEICdata.com (2023). Hong Kong SAR, China CPI (B): Housing: Rent incl Rates: Public [Dataset]. https://www.ceicdata.com/en/hong-kong/consumer-price-index-b-1009910100/cpi-b-housing-rent-incl-rates-public
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    Dataset updated
    Mar 15, 2023
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2016 - Dec 1, 2016
    Area covered
    Hong Kong
    Variables measured
    Consumer Prices
    Description

    Hong Kong CPI (B): Housing: Rent incl Rates: Public data was reported at 176.900 Oct2009-Sep2010=100 in Dec 2016. This stayed constant from the previous number of 176.900 Oct2009-Sep2010=100 for Nov 2016. Hong Kong CPI (B): Housing: Rent incl Rates: Public data is updated monthly, averaging 154.100 Oct2009-Sep2010=100 from Oct 1994 (Median) to Dec 2016, with 267 observations. The data reached an all-time high of 187.500 Oct2009-Sep2010=100 in Mar 2016 and a record low of 3.500 Oct2009-Sep2010=100 in Aug 2014. Hong Kong CPI (B): Housing: Rent incl Rates: Public data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong SAR – Table HK.I032: Consumer Price Index (B): 10/09-9/10=100. CPI (B): Housing: Rent incld Rates: Public was affected by a number of Government’s one-off relief measures, including the waiver of public housing rentals by Housing Authority and Housing Society for the month of February 2007; the waiver of public housing rentals by Housing Society for the month of February 2008; Government's payment of public housing rentals in August to October 2008, August to September 2009, July to August 2010 and August to September 2011; the public housing rental waiver by Housing Authority in September 2010.

  16. Households who spend more than 30 percent of income on housing

    • data.amerigeoss.org
    esri rest, html
    Updated Jan 7, 2020
    + more versions
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    ESRI (2020). Households who spend more than 30 percent of income on housing [Dataset]. https://data.amerigeoss.org/id/dataset/households-who-spend-more-than-30-percent-of-income-on-housing
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    esri rest, htmlAvailable download formats
    Dataset updated
    Jan 7, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Description

    This map shows households that spend more than 30 percent 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:

    legned

    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.

  17. l

    Location Affordability Index v 1.0

    • data.lojic.org
    • hudgis-hud.opendata.arcgis.com
    • +2more
    Updated Jul 31, 2023
    + more versions
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    Department of Housing and Urban Development (2023). Location Affordability Index v 1.0 [Dataset]. https://data.lojic.org/items/8eaa0b89826244ae9246915199462328
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    Dataset updated
    Jul 31, 2023
    Dataset authored and provided by
    Department of Housing and Urban Development
    Area covered
    Description

    The Location Affordability Index (LAI) estimates the percentage of a family’s income dedicated to the combined cost of housing and transportation in a given location. Because what is “affordable” is different for everyone, users can choose among a diverse set of family profiles—which vary by household income, size, and number of commuters—and see the affordability landscape for each in a given neighborhood, city, or region. The Location Affordability Index (LAI) estimates three dependent variables of transportation behavior (auto ownership, auto use, and transit use) as functions of 14 independent variables (median income, per capita income, average household size, average commuters per household, residential density, gross density, block density, intersection density, transit connectivity, transit frequency of service, transit access shed, employment access, job diversity, and average commute distance). To hone in on the built environment’s influence on transportation costs, the independent household variables (income, household size, and commuters per household) are set at fixed values to control for any variation they might cause. The LAI also estimates two dependent variables of housing costs (Selected Monthly Owner Costs and Gross Rent) as functions of 16 independent variables: regional median selected monthly owner costs and regional median gross rent in addition to the 14 variables used in the transportation model.

    To learn more about the Location Affordability Index (v.1.0) visit: https://www.locationaffordability.info/LAPMethods.pdf, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data Dictionary: DD_Location Affordability Indev v.1.0. Date of Coverage: 2005-2009 https://www.locationaffordability.info/LAPMethodsV2.pdf

  18. g

    SA Housing Authority - Private Rent Report | gimi9.com

    • gimi9.com
    Updated Jun 3, 2016
    + more versions
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    (2016). SA Housing Authority - Private Rent Report | gimi9.com [Dataset]. https://gimi9.com/dataset/au_private-rent-report
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    Dataset updated
    Jun 3, 2016
    Description

    Quarterly summary of median private rent in South Australia by: suburb, postcode, State Government regions and Local Government Areas. The information relates to bonds lodged with Consumer and Business Services for private rental properties in South Australia.

  19. S

    SLE3 Cost Of Living Rent Burden

    • data.sustainablesm.org
    application/rdfxml +5
    Updated Apr 21, 2022
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    City of Santa Monica (2022). SLE3 Cost Of Living Rent Burden [Dataset]. https://data.sustainablesm.org/dataset/SLE3-Cost-Of-Living-Rent-Burden/pgae-wuy7
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    csv, tsv, application/rssxml, application/rdfxml, xml, jsonAvailable download formats
    Dataset updated
    Apr 21, 2022
    Dataset authored and provided by
    City of Santa Monica
    License

    Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
    License information was derived automatically

    Description

    The U.S. Department of Housing and Urban Development (HUD) maintains that tenants are rent burdened if more than 30 percent of household income is used for rent. Data is collected via the US Census ACS 5-year estimates.

  20. b

    Rate of Housing Vouchers per 1,000 Rental Units - City

    • data.baltimorecity.gov
    • bmore-open-data-baltimore.hub.arcgis.com
    • +2more
    Updated Mar 20, 2020
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    Baltimore Neighborhood Indicators Alliance (2020). Rate of Housing Vouchers per 1,000 Rental Units - City [Dataset]. https://data.baltimorecity.gov/datasets/bniajfi::rate-of-housing-vouchers-per-1000-rental-units-1/explore?layer=1&showTable=true
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    Dataset updated
    Mar 20, 2020
    Dataset authored and provided by
    Baltimore Neighborhood Indicators Alliance
    Area covered
    Description

    Measures the ability of housing voucher holders to find housing in the private rental market. The Housing Choice Voucher (HCV) program is the federal government?s largest low-income housing assistance program where people can seek housing in the private market. The maximum housing assistance is generally the lesser of the payment standard minus 30% of the family's monthly adjusted income or the gross rent for the unit minus 30% of monthly adjusted income. Source: Picture of Subsidized Housing, HUD Years Available: 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2022, 2023

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U.S. Department of Housing and Urban Development (2024). Fair Market Rents lookup tool [Dataset]. https://catalog.data.gov/dataset/fair-market-rents-for-the-section-8-housing-assistance-payments-program
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Fair Market Rents lookup tool

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Dataset updated
Mar 1, 2024
Dataset provided by
United States Department of Housing and Urban Developmenthttp://www.hud.gov/
Description

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).

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