73 datasets found
  1. a

    HSD - Households Provided Eviction Prevention/Rental and Utility Assistance...

    • egishub-phoenix.hub.arcgis.com
    Updated Jun 11, 2024
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    City of Phoenix (2024). HSD - Households Provided Eviction Prevention/Rental and Utility Assistance DEV [Dataset]. https://egishub-phoenix.hub.arcgis.com/datasets/hsd-households-provided-eviction-prevention-rental-and-utility-assistance-dev
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    Dataset updated
    Jun 11, 2024
    Dataset authored and provided by
    City of Phoenix
    Description

    A dashboard used by government agencies to monitor key performance indicators (KPIs) and communicate progress made on strategic outcomes with the general public and other interested stakeholders.

  2. a

    Rental and Vacant Properties

    • city-of-montgomery-1-citymgm.hub.arcgis.com
    • opendata.montgomeryal.gov
    Updated Jul 30, 2025
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    City of Montgomery ArcGIS Online (2025). Rental and Vacant Properties [Dataset]. https://city-of-montgomery-1-citymgm.hub.arcgis.com/datasets/rental-and-vacant-properties
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    Dataset updated
    Jul 30, 2025
    Dataset authored and provided by
    City of Montgomery ArcGIS Online
    Description

    Update Frequency:MonthlyData source:Tolemi

  3. e

    Households who spend 30 percent or more of income on housing

    • coronavirus-resources.esri.com
    • hub.arcgis.com
    • +3more
    Updated Dec 21, 2018
    + more versions
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    Urban Observatory by Esri (2018). Households who spend 30 percent or more of income on housing [Dataset]. https://coronavirus-resources.esri.com/maps/f9a964e38eae479dbe0b71ad6067e5f2
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    Dataset updated
    Dec 21, 2018
    Dataset authored and provided by
    Urban Observatory by Esri
    Area covered
    Description

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

  4. d

    Apartment Market Rent Prices by Census Tract

    • catalog.data.gov
    • data.seattle.gov
    • +1more
    Updated Oct 4, 2025
    + more versions
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    City of Seattle ArcGIS Online (2025). Apartment Market Rent Prices by Census Tract [Dataset]. https://catalog.data.gov/dataset/apartment-market-rent-prices-by-census-tract
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    Dataset updated
    Oct 4, 2025
    Dataset provided by
    City of Seattle ArcGIS Online
    Description

    Displacement risk indicator classifying census tracts according to apartment rent prices in census tracts. We classify apartment rent along two dimensions: The average rents within the census tract for the specified year, balancing between nominal rental price and rental price per square foot.The change in average rent price (again balanced between nominal rent price and price per square foot) from the previous year.Note: Average rent calculations include market-rate and mixed-income multifamily apartment properties with 5 or more rental units in Seattle, excluding special types like student, senior, corporate or military housing. Source: Data from CoStar Group, www.costar.com, prepared by City of Seattle, Office of Planning and Community Development

  5. t

    2.20 Employee Vertical Diversity (summary)

    • data.tempe.gov
    • open.tempe.gov
    • +8more
    Updated Nov 19, 2019
    + more versions
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    City of Tempe (2019). 2.20 Employee Vertical Diversity (summary) [Dataset]. https://data.tempe.gov/datasets/tempegov::2-20-employee-vertical-diversity-summary
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    Dataset updated
    Nov 19, 2019
    Dataset authored and provided by
    City of Tempe
    License

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

    Description

    It is important to identify any barriers in recruitment, hiring, and employee retention practices that might discourage any segment of our population from applying for positions or continuing employment at the City of Tempe. This information will provide better awareness for outreach efforts and other strategies to attract, hire, and retain a diverse workforce.This page provides data for the Employee Vertical Diversity performance measure. The performance measure dashboard is available at 2.20 Employee Vertical Diversity. Additional InformationSource:PeopleSoft HCM, Maricopa County Labor Market Census DataContact: Lawrence LaVictoireContact E-Mail: lawrence_lavicotoire@tempe.govData Source Type: Excel, PDFPreparation Method: PeopleSoft query and PDF are moved to a pre-formatted Excel spreadsheet.Publish Frequency: Every six monthsPublish Method: ManualData Dictionary

  6. a

    Affordable Rental Housing Inventory - HHFDC

    • hub.arcgis.com
    • opendata.hawaii.gov
    • +2more
    Updated Mar 21, 2023
    + more versions
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    Hawaii Statewide GIS Program (2023). Affordable Rental Housing Inventory - HHFDC [Dataset]. https://hub.arcgis.com/maps/HiStateGIS::affordable-rental-housing-inventory-hhfdc/about
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    Dataset updated
    Mar 21, 2023
    Dataset authored and provided by
    Hawaii Statewide GIS Program
    Area covered
    Description

    [Metadata] Inventory of the State of Hawaii’s affordable housing projects as of February 2023. The list includes affordable housing projects owned by private, non-profit, or governmental entities, developed with funding or support from federal, state or county resources. Data was downloaded from the HHFDC website (https://dbedt.hawaii.gov/hhfdc/affordable-housing-inventory/affordable-rental-housing-inventory/) in PDF format by Hawaii Statewide GIS Program staff, converted to Excel and geocoded in ArcGIS Pro. Projects with no addresses were not included. Data updates are posted periodically on the HHFDC website; users should check the site for the latest copy of the PDF file. For more information, please refer to metadata at https://files.hawaii.gov/dbedt/op/gis/data/Afford_Rent_Hsng_Inv_HHFDC.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.

  7. m

    Maryland Multifamily Sites - Multifamily Sites

    • data.imap.maryland.gov
    • dev-maryland.opendata.arcgis.com
    • +2more
    Updated Apr 26, 2019
    + more versions
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    ArcGIS Online for Maryland (2019). Maryland Multifamily Sites - Multifamily Sites [Dataset]. https://data.imap.maryland.gov/datasets/maryland::maryland-multifamily-sites-multifamily-sites/about
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    Dataset updated
    Apr 26, 2019
    Dataset authored and provided by
    ArcGIS Online for Maryland
    Area covered
    Description

    This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.CDA Multifamily Housing expands quality, affordable rental and transitional housing opportunities for Marylanders by financing the development, rehabilitation, and preservation of rental communities and transitional housing, and by administering rental assistance programs and the Federal Low Income Housing Tax Credit program.Feature Service Layer Link:https://mdgeodata.md.gov/imap/rest/services/BusinessEconomy/MD_MultifamilySites/FeatureServer/0

  8. d

    Air Rights Lots

    • catalog.data.gov
    • opendata.dc.gov
    • +2more
    Updated May 21, 2025
    + more versions
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    Department of Buildings (2025). Air Rights Lots [Dataset]. https://catalog.data.gov/dataset/air-rights-lots
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    Dataset updated
    May 21, 2025
    Dataset provided by
    Department of Buildings
    Description

    Air right lots are reflect a party’s right to construct an improvement above an existing area of land that is not owned by the constructor. They are a type of development right in real estate referring to the empty space about a property. These tax lot numbers start at 7000. There are approximately 704 air rights lots. Non-contiguous Air Rights Lots numbered in 8000 series can either be District owned Multifamily rental units or Existing Development Mixed (residential and commercial).Multifamily 8000 series lots can be proposed development projects that are inclusive of the Mayor’s Office Affordable/Public Housing Initiatives. Additionally, they can either be development sites that are owned by the District and the site is leased to developer. Due to financing and legal requirements, each set of government funded units are required to have separate parcel ID’s (SSL’s). All the units are rentals, none of the units will be for sale.Existing Development Mixed Use 8000 series lots are residential owner(s) that own both residential and commercial portions. The Lot split is done to ensure each party pays the appropriate real estate taxes assessed to each specific use. There is a master covenant lease outlining property access-rights-use between residential and commercial owner and lease holders. There is also a master lease related to the commercial space where the residential owner is the lease holder.

  9. l

    HOME Program Grantee Areas

    • data.lojic.org
    • hub.arcgis.com
    • +1more
    Updated Nov 12, 2024
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    Department of Housing and Urban Development (2024). HOME Program Grantee Areas [Dataset]. https://data.lojic.org/maps/HUD::home-program-grantee-areas-2
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    Dataset updated
    Nov 12, 2024
    Dataset authored and provided by
    Department of Housing and Urban Development
    Area covered
    Description

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

    Date of Coverage: Q1 FY 2025

  10. f

    Rural HOME properties

    • gisdata.fultoncountyga.gov
    • hub.arcgis.com
    • +1more
    Updated Dec 26, 2019
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    Georgia Department of Community Affairs (2019). Rural HOME properties [Dataset]. https://gisdata.fultoncountyga.gov/datasets/Georgia-DCA::rural-home-properties/about
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    Dataset updated
    Dec 26, 2019
    Dataset authored and provided by
    Georgia Department of Community Affairs
    Area covered
    Description

    Multifamily Rental Housing Development: Multifamily rental housing developers apply to DCA for HOME funds during the annual competitive 9% tax credit application round.DCA HOMEDCA LIHTC

  11. c

    Loudoun Revitalization Areas

    • s.cnmilf.com
    • data.virginia.gov
    • +7more
    Updated Sep 20, 2024
    + more versions
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    Loudoun County GIS (2024). Loudoun Revitalization Areas [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/loudoun-revitalization-areas
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    Dataset updated
    Sep 20, 2024
    Dataset provided by
    Loudoun County GIS
    Area covered
    Loudoun County
    Description

    Revitalization Areas identify those portions of Loudoun County, specifically the entire Suburban Policy Area & a portion of the Leesburg Joint Land Management Area, where residential developers can receive tax credit funding for proposed apartment projects. They also gain additional points in the Virginia Housing Development Authority's (VDHA) Low Income Housing Tax Credit (LIHTC) competitive tax credit scoring system.In the LIHTC competition, with application review based on a point system, an application can receive 15 points for its _location in a designated revitalization area. These 15 points may make the difference in winning the LIHTC in the competitive application process leading to the development of an affordable rental project.

  12. l

    HOME Activity by Tract

    • data.lojic.org
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +2more
    Updated Nov 12, 2024
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    Department of Housing and Urban Development (2024). HOME Activity by Tract [Dataset]. https://data.lojic.org/maps/HUD::home-activity-by-tract-1
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    Dataset updated
    Nov 12, 2024
    Dataset authored and provided by
    Department of Housing and Urban Development
    Area covered
    Description

    The HOME Investments Partnership Program (HOME) is a federal block grant program distributed (via formula) to states and local governments. Participating jurisdictions may use HOME funds for a variety of housing activities, according to local housing needs. Eligible uses of funds include: tenant-based rental assistance, housing rehabilitation, assistance to home-buyers, and new construction of housing. HOME funding may also be used for site acquisition, site improvements, demolition, relocation, and other necessary and reasonable activities related to the development of non-luxury housing. Funds may not be used for public housing development, public housing operating costs, or for Section 8 tenant-based assistance, nor may they be used to provide non-federal matching contributions for other federal programs, for operating subsidies for rental housing, or for activities under the Low-Income Housing Preservation Act. The locations of HOME activities are derived from addresses provided by HUD grantees from 1996 to present in HUDs Integrated Disbursement and Information System (IDIS). Until recently, these addresses were not validated at point of entry. The prevalence of missing or incorrect address data means that HUD cannot guarantee the accuracy of these locations. However, due to recent improvements to IDIS, HUD expects the quality of activity locations to improve over time. Please note that this service only provides data for those areas in which HOME program activity has occurred. Please note that this service only provides data for those areas in which HOME program activity has occurred. Tracts where Total Activity Count = 0, or Total Activity Count is NULL have been omitted from this dataset. To learn more about the HOME Program visit: https://www.hud.gov/hudprograms/home-program/, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data Dictionary: DD_Home Program Activity by Tract. Date of Coverage: 10/2021 Last Updated: 11/2021

  13. d

    Housing Finance Agency Portfolio

    • catalog.data.gov
    • opendata.dc.gov
    • +4more
    Updated Feb 4, 2025
    + more versions
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    DC Housing Finance Agency (2025). Housing Finance Agency Portfolio [Dataset]. https://catalog.data.gov/dataset/housing-finance-agency-portfolio
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    Dataset updated
    Feb 4, 2025
    Dataset provided by
    DC Housing Finance Agency
    Description

    The DC Housing Finance Agency is the financial intermediary and administrator of affordable housing programs and resources for the District of Columbia. Through its Multifamily Lending and Neighborhood Investment and Capital Markets divisions, DCHFA issues tax-exempt mortgage revenue bonds to lower the developers’ costs of acquiring, constructing and rehabilitating rental housing. The Agency offers private for-profit and non-profit developers low-cost predevelopment, construction and permanent financing that supports the new construction, acquisition, and rehabilitation of affordable rental housing in the District. DCHFA’s Single Family Programs division creates homeownership opportunities in the District by providing low-cost single family mortgages and down payment assistance, made possible through the issuance of mortgage-backed securities.

  14. a

    FHFC Rental Properties as of 02-01-24

    • data-ufshimbergcenter.opendata.arcgis.com
    • opendata-shimberg.hub.arcgis.com
    Updated Feb 17, 2024
    + more versions
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    UF Shimberg Center (2024). FHFC Rental Properties as of 02-01-24 [Dataset]. https://data-ufshimbergcenter.opendata.arcgis.com/datasets/fhfc-rental-properties-as-of-02-01-24
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    Dataset updated
    Feb 17, 2024
    Dataset authored and provided by
    UF Shimberg Center
    Area covered
    Description

    This data layer provides a quarterly snapshot of the Florida Housing Finance Corporation rental portfolio.The following information is provided in this data layer:County name;Development name;Address;Target population;Status (Active, Leasing-up, Pipeline);Year built;Total units for each development;Construction type;Term of Land Use Restriction Agreement (LURA);Florida Housing funding program(s);Name of ownership entity;Name of management company;Unit restrictions by area median income (AMI);Number of affordable units for each development;Number of market rate units;Number of affordable units;Number of LINK units; andLatitude and Longitude coordinates of the development.

  15. d

    Affordable Housing

    • catalog.data.gov
    • opendata.dc.gov
    • +4more
    Updated May 21, 2025
    + more versions
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    City of Washington, DC (2025). Affordable Housing [Dataset]. https://catalog.data.gov/dataset/affordable-housing
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    Dataset updated
    May 21, 2025
    Dataset provided by
    City of Washington, DC
    Description

    Affordable housing production and preservation projects are managed by the Department of Housing and Community Development (DHCD), the Deputy Mayor for Planning and Economic Development (DMPED), the DC Housing Authority, the DC Housing Finance Agency and DC's Inclusionary Zoning program. This dataset comprehensively covers affordable housing projects which started (i.e. reached financial closing and/or started construction) or completed since January of 2015. The data includes affordable housing projects (production and preservation, rental and for-sale) which were subsidized by DMPED, DHCD, DCHFA, or DCHA, and those which were produced as a result of Planned Unit Development (PUD) proffers or Inclusionary Zoning (IZ) requirements.

  16. a

    Home ownership and rental - billing and arrear

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Jun 21, 2024
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    City of Cape Town (2024). Home ownership and rental - billing and arrear [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/content/f7dc1d04eb72474ab5ce40e30ed6c7ad
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    Dataset updated
    Jun 21, 2024
    Dataset authored and provided by
    City of Cape Town
    License

    https://www.capetown.gov.za/General/Terms-of-use-open-datahttps://www.capetown.gov.za/General/Terms-of-use-open-data

    Description

    Home ownership and rental billing and arrears information summarised at suburb level. read more

  17. g

    Code Compliance - All Inspections

    • data.greensboro-nc.gov
    • budget.greensboro-nc.gov
    • +4more
    Updated Mar 9, 2020
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    City of Greensboro ArcGIS Online (2020). Code Compliance - All Inspections [Dataset]. https://data.greensboro-nc.gov/datasets/65179ad751e24c949b840a91970d967b
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    Dataset updated
    Mar 9, 2020
    Dataset authored and provided by
    City of Greensboro ArcGIS Online
    Area covered
    Description

    This dataset includes records that describe Code Compliance violations that have been recorded during inspections. Code Compliance violations can be of 5 different types: Housing, Rental(RUCO), Nuisance, Vehicle, and Front Yard Parking.Disclaimer: In June 2024, Code Compliance moved to a new system. Any data after that date is currently inaccessible view the open data portal. For new data, please contact Code Compliance directly.The Code Compliance Division works to improve the appearance of communities and maintain standards of living. By ensuring safe, healthy places to live, work and play, the division's staff helps reduce the risk of declining property values and failing community pride by determining if reported issues violate the City's Code of Ordinances.The City's ordinances includes the Minimum Housing Code and Good Repair Ordinance, as well as the Junked and Abandoned Motor Vehicles, Nuisances, and Front Yard Parking ordinances.Download our easy to read brochure about what we do and watch this video about common ordinance issues the city's refugee communities experience. Resources:Upheld demolition ordinances andupheld repair ordinances Outstanding nuisance liens owedBuilding Permits online portalMore information can be found on the City's Code Compliance Website here: https://www.greensboro-nc.gov/departments/housing-neighborhood-development/code-compliance

  18. a

    HUD and Rural Rental Development Portfolio as of 09-17-20

    • data-ufshimbergcenter.opendata.arcgis.com
    Updated Sep 21, 2020
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    UF Shimberg Center (2020). HUD and Rural Rental Development Portfolio as of 09-17-20 [Dataset]. https://data-ufshimbergcenter.opendata.arcgis.com/items/f8128dda4cee404db3bcc5c4d9fa67df
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    Dataset updated
    Sep 21, 2020
    Dataset authored and provided by
    UF Shimberg Center
    Area covered
    Description

    This data layer provides an annual snapshot of HUD subsidized units and USDA Rural Development multifamily rental properties. Various property information is provided, such as development name, location, target population, total units, total assisted units, HUD and Rural program funding, other funding sources, year built and number of bedrooms and year of subsidy expiration.

  19. Multifamily Properties - Assisted

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • gisnation-sdi.hub.arcgis.com
    Updated Oct 17, 2018
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    Esri U.S. Federal Datasets (2018). Multifamily Properties - Assisted [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/3094455674304783a2923d720d6adb69
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    Dataset updated
    Oct 17, 2018
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri U.S. Federal Datasets
    License

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

    Area covered
    Description

    Multifamily Properties - AssistedThis National Geospatial Data Asset (NGDA) dataset, shared as a Department of Housing and Urban Development (HUD) feature layer, displays rental housing properties with five or more dwelling units in the United States. Per HUD, "HUD's Multifamily Housing property portfolio consist primarily of rental housing properties with five or more dwelling units such as apartments or town houses, but can also be nursing homes, hospitals, elderly housing, mobile home parks, retirement service centers, and occasionally vacant land. HUD provides subsidies and grants to property owners and developers designed to promote the development and preservation of affordable rental units for low-income populations and those with special needs, such as the elderly and disabled". Tyler House in Washington, D.C.Data currency: current federal service (Multifamily Properties - Assisted)NGDAID: 183 (Assisted Housing - Multifamily Properties (Assisted) – National Geospatial Data Asset (NGDA))For more information, please visit: Office of Multifamily HousingSupport documentation: DD_HUD Assisted Multifamily PropertiesFor feedback please contact: Esri_US_Federal_Data@esri.comNGDA Data SetThis data set is part of the NGDA Real Property Theme Community. Per the Federal Geospatial Data Committee (FGDC), Real Property is defined as "the spatial representation (location) of real property entities, typically consisting of one or more of the following: unimproved land, a building, a structure, site improvements and the underlying land. Complex real property entities (that is "facilities") are used for a broad spectrum of functions or missions. This theme focuses on spatial representation of real property assets only and does not seek to describe special purpose functions of real property such as those found in the Cultural Resources, Transportation, or Utilities themes."For other NGDA Content: Esri Federal Datasets

  20. a

    Fair Market Rents

    • hub.arcgis.com
    • data.lojic.org
    • +1more
    Updated Nov 22, 2017
    + more versions
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    Department of Housing and Urban Development (2017). Fair Market Rents [Dataset]. https://hub.arcgis.com/maps/HUD::fair-market-rents
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    Dataset updated
    Nov 22, 2017
    Dataset authored and provided by
    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: FY2026 : Oct. 1 - Sept. 30

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City of Phoenix (2024). HSD - Households Provided Eviction Prevention/Rental and Utility Assistance DEV [Dataset]. https://egishub-phoenix.hub.arcgis.com/datasets/hsd-households-provided-eviction-prevention-rental-and-utility-assistance-dev

HSD - Households Provided Eviction Prevention/Rental and Utility Assistance DEV

Explore at:
Dataset updated
Jun 11, 2024
Dataset authored and provided by
City of Phoenix
Description

A dashboard used by government agencies to monitor key performance indicators (KPIs) and communicate progress made on strategic outcomes with the general public and other interested stakeholders.

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