8 datasets found
  1. Data from: Small Area Fair Market Rents

    • data.lojic.org
    • opendata.atlantaregional.com
    • +1more
    Updated Apr 28, 2021
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    Department of Housing and Urban Development (2021). Small Area Fair Market Rents [Dataset]. https://data.lojic.org/maps/6458c67bad2a4cc7aa97514ef7ba8a0e
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    Dataset updated
    Apr 28, 2021
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Authors
    Department of Housing and Urban Development
    Area covered
    Description

    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
    
  2. 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.

  3. M

    Payment Standards based on HUD Small Area Fair Market Rents for Metro HRA's...

    • gisdata.mn.gov
    ags_mapserver, fgdb +3
    Updated Jan 15, 2025
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    Metropolitan Council (2025). Payment Standards based on HUD Small Area Fair Market Rents for Metro HRA's Housing Choice Voucher service area [Dataset]. https://gisdata.mn.gov/dataset/us-mn-state-metc-plan-metro-hra-small-area-rents
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    gpkg, shp, html, ags_mapserver, fgdbAvailable download formats
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    Metropolitan Council
    Description

    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/

  4. a

    SAFMR table

    • hub.arcgis.com
    • data.lojic.org
    • +1more
    Updated Apr 28, 2021
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    Department of Housing and Urban Development (2021). SAFMR table [Dataset]. https://hub.arcgis.com/datasets/6458c67bad2a4cc7aa97514ef7ba8a0e
    Explore at:
    Dataset updated
    Apr 28, 2021
    Dataset authored and provided by
    Department of Housing and Urban Development
    Area covered
    Description

    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
    
  5. a

    Non-Metro Difficult Development Areas: Effective 01-01-2025

    • opendata-shimberg.hub.arcgis.com
    Updated Jan 28, 2025
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    uf_shimbergcenter (2025). Non-Metro Difficult Development Areas: Effective 01-01-2025 [Dataset]. https://opendata-shimberg.hub.arcgis.com/items/315164cc182745e79ec4387c674f64e3
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    Dataset updated
    Jan 28, 2025
    Dataset authored and provided by
    uf_shimbergcenter
    Area covered
    Description

    This data layer shows U.S. Department of Housing and Urban Development (HUD) annually designated non-metropolitan Difficult Development Areas (DDAs).Non-metropolitan DDAs are areas with high construction, land, and utility costs relative to area median gross income and are based on Fair Market Rents (FMR), income limits, the 2020 census counts, and 5-year American Community Survey data.The unit of geography for non-metropolitan DDAs is the non-metropolitan county or county equivalent area. Non-metropolitan DDAs are designated annually as updated income, and FMR data are made public.

  6. H

    Housing Rental Service Platform Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated May 26, 2025
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    Archive Market Research (2025). Housing Rental Service Platform Report [Dataset]. https://www.archivemarketresearch.com/reports/housing-rental-service-platform-558682
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    ppt, pdf, docAvailable download formats
    Dataset updated
    May 26, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global housing rental service platform market is experiencing robust growth, driven by increasing urbanization, the rising popularity of short-term rentals, and the expanding adoption of technology in property management. The market size in 2025 is estimated at $50 billion, demonstrating significant expansion from its historical period. This growth is projected to continue at a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching an estimated market value of $150 billion by 2033. Key drivers include the convenience and efficiency offered by online platforms, enabling property owners to manage their listings and tenants to search and book properties easily. Furthermore, the integration of advanced features such as virtual tours, online payment processing, and sophisticated search filters enhances user experience and drives market expansion. Emerging trends, such as the integration of AI for property pricing and tenant screening, along with the rise of subscription-based rental models, are further fueling market growth. However, regulatory challenges related to data privacy and fair housing practices, as well as competition from traditional real estate agencies, pose some restraints on market growth. The competitive landscape is highly dynamic, with a mix of established players like Zillow, Trulia, and RealPage, and innovative startups such as Rentberry and Spotahome vying for market share. Geographic expansion into emerging markets, particularly in Asia and Latin America, presents significant opportunities for growth. Companies are increasingly focusing on enhancing their platforms’ functionalities by integrating advanced technologies like AI and machine learning to improve tenant screening, property valuation, and risk management. Differentiation strategies, such as offering specialized services catering to specific demographics or property types, are also becoming increasingly crucial for success in this competitive market. The overall outlook remains positive, with substantial growth potential driven by technological advancements and evolving consumer preferences.

  7. a

    Home Repair Search Assistance and Housing Opportunity Fund TIF Districts...

    • egisdata-dallasgis.hub.arcgis.com
    Updated Jan 31, 2024
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    City of Dallas GIS Services (2024). Home Repair Search Assistance and Housing Opportunity Fund TIF Districts 2025 [Dataset]. https://egisdata-dallasgis.hub.arcgis.com/maps/6d0d1d07d3d5430c95e8447a93facee3
    Explore at:
    Dataset updated
    Jan 31, 2024
    Dataset authored and provided by
    City of Dallas GIS Services
    Area covered
    Description

    This is a map to assist Department of Housing & Community Development staff determine if properties qualify for ARPA and repair funds.Targeted Rehab Boundaries Boundaries for the West Dallas Targeted Rehab Program (Census Tracts 106.01, 160.02, 105, 205, 101.01, 101.02, 43) and Tenth Street Rehab Program (Historic Tenth Street). Home repair programs available in these areas: Housing & Neighborhood Revitalization Targeted Rehabilitation Program (TRP) (dallascityhall.com) Unserved Areas Dallas Water Utilities (DWU) 's Unserved Areas Report identified geographical areas that need water and/or wastewater services throughout the City. DWU is in the process of building out service in these areas. (2020 update) Home repair programs available in these areas: Housing & Neighborhood Revitalization ARPA Septic Tank (dallascityhall.com) QCTs This service contains a list of census tracts that qualify for the American Rescue Plan Act (ARPA).  The list was provided to EGIS by BMS.  The data used to produce this service can be found at Qualified Census Tracts and Difficult Development Areas | HUD USER. 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. Difficult Development Areas (DDA) are areas with high land, construction and utility costs relative to the area median income and are based on Fair Market Rents, income limits, the 2010 census counts, and 5-year American Community Survey (ACS) data. Maps of Qualified Census Tracts and Difficult Development Areas are available at: 2022 and 2023 Small DDAs and QCTs | HUD USER. Qualified Census Tracts - Generate QCT Tables for Individual Areas (Also Includes DDA Information) This data was created by the Department of Housing and Urban Development in 2023.  This data is updated on a yearly basis.  Updated ARPA boundaries ARPA Home Repair Program boundaries for qualified neighborhoods. Home repair programs available in these areas: American Rescue Plan Act Neighborhood Revitalization Program (dallascityhall.com) (Limited availability, applications accepted based on funding available) Housing Opportunity Fund TIF DistrictsThis is the Housing Opportunity Fund TIF District map for Housing & Community Development and Economic Development in the City of Dallas. The three TIF districts in this map are areas within the City of Dallas with select TIF funds for homeowner stabilization programs that may include Home Improvement and Preservation Programs (HIPP) and the Dallas Homebuyer Assistance Program (DHAP). The three Housing Opportunity Fund TIF districts are: the Oak Cliff Housing TIF, the Fort Worth Avenue Housing TIF, and the Deep Ellum Housing TIF. Housing & Community Development is starting to implement these areas in 2025.

  8. R

    Rides Rental Report

    • promarketreports.com
    doc, pdf, ppt
    Updated May 9, 2025
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    Pro Market Reports (2025). Rides Rental Report [Dataset]. https://www.promarketreports.com/reports/rides-rental-236408
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    May 9, 2025
    Dataset authored and provided by
    Pro Market Reports
    License

    https://www.promarketreports.com/privacy-policyhttps://www.promarketreports.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global rides rental market is experiencing robust growth, driven by increasing demand for amusement and entertainment options at corporate events, private parties, and other celebrations. The market, estimated at $2.5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033, reaching an estimated value of $4.2 billion by 2033. This expansion is fueled by several key factors. The rising disposable incomes in developing economies, coupled with a growing preference for unique and memorable event experiences, are significantly boosting market demand. Furthermore, the increasing availability of diverse ride types, including long-term and short-term rental options catering to various needs and budgets, is contributing to market growth. Technological advancements, such as the introduction of innovative ride designs and improved safety features, are also driving market expansion. The market is segmented by application (corporate events, private parties, others) and type (long-term and short-term rentals), offering diverse revenue streams and growth opportunities for rental companies. Key players in the market are constantly innovating to provide high-quality services and attract a wider customer base. The competitive landscape is characterized by both large established players and smaller, specialized rental businesses. However, the market also faces challenges. Economic downturns can negatively impact spending on entertainment and events, thus affecting demand. Stricter safety regulations and insurance requirements can increase operational costs for rental companies. Furthermore, seasonal variations in demand and potential competition from alternative entertainment options can influence market dynamics. Despite these restraints, the overall outlook for the rides rental market remains positive, with sustained growth expected in the coming years, particularly in emerging markets characterized by burgeoning entertainment sectors and rising disposable incomes. Strategic partnerships, investments in technology, and a focus on customer satisfaction will be crucial for companies seeking to thrive in this competitive yet dynamic market.

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Department of Housing and Urban Development (2021). Small Area Fair Market Rents [Dataset]. https://data.lojic.org/maps/6458c67bad2a4cc7aa97514ef7ba8a0e
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Data from: Small Area Fair Market Rents

Related Article
Explore at:
Dataset updated
Apr 28, 2021
Dataset provided by
United States Department of Housing and Urban Developmenthttp://www.hud.gov/
Authors
Department of Housing and Urban Development
Area covered
Description

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
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