64 datasets found
  1. a

    Multifamily Properties - Assisted

    • giscommons-countyplanning.opendata.arcgis.com
    • gisnation-sdi.hub.arcgis.com
    • +1more
    Updated Oct 17, 2018
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri U.S. Federal Datasets (2018). Multifamily Properties - Assisted [Dataset]. https://giscommons-countyplanning.opendata.arcgis.com/datasets/fedmaps::multifamily-properties-assisted-1
    Explore at:
    Dataset updated
    Oct 17, 2018
    Dataset authored and provided by
    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. 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

  2. Fair Market Rents

    • regionaldatahub-brag.hub.arcgis.com
    • gisnation-sdi.hub.arcgis.com
    • +2more
    Updated Sep 26, 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri U.S. Federal Datasets (2019). Fair Market Rents [Dataset]. https://regionaldatahub-brag.hub.arcgis.com/datasets/fedmaps::fair-market-rents
    Explore at:
    Dataset updated
    Sep 26, 2019
    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

    Fair Market RentsThis National Geospatial Data Asset (NGDA) dataset, shared as a Department of Housing and Urban Development (HUD) feature layer, displays fair market rents (FMR) in the United States. According to HUD, "Fair Market Rents (FMRs) represent the estimated amount (base rent + essential utilities) that a property in a given area typically rents for. The data are 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."Milwaukee-Waukesha-West Allis, WI Metropolitan Statistical Area (MSA)Data currency: current Federal service (Fair Market Rents)NGDAID: 122 (Fair Market Rents (Fair Market Rents For The Section 8 Housing Assistance Payments Program) - National Geospatial Data Asset (NGDA))For more information, please visit: Fair Market RentsSupport documentation: Fair Market Rents (FMRs)For 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

  3. e

    Households who spend 30 percent or more of income on housing

    • coronavirus-resources.esri.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +4more
    Updated Dec 21, 2018
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Urban Observatory by Esri (2018). Households who spend 30 percent or more of income on housing [Dataset]. https://coronavirus-resources.esri.com/maps/f9a964e38eae479dbe0b71ad6067e5f2
    Explore at:
    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

    Air Rights Lots (Historical)

    • catalog.data.gov
    • opendata.dc.gov
    • +2more
    Updated Feb 4, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Department of Buildings (2025). Air Rights Lots (Historical) [Dataset]. https://catalog.data.gov/dataset/air-rights-lots-historical
    Explore at:
    Dataset updated
    Feb 4, 2025
    Dataset provided by
    Department of Buildings
    Description

    Air right lots 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.

  5. d

    Loudoun Revitalization Areas

    • catalog.data.gov
    • data.virginia.gov
    • +7more
    Updated Sep 20, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Loudoun County GIS (2024). Loudoun Revitalization Areas [Dataset]. https://catalog.data.gov/dataset/loudoun-revitalization-areas
    Explore at:
    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.

  6. Apartment Market Rent Prices by Census Tract

    • hub.arcgis.com
    • catalog.data.gov
    • +1more
    Updated Oct 23, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Seattle ArcGIS Online (2024). Apartment Market Rent Prices by Census Tract [Dataset]. https://hub.arcgis.com/maps/SeattleCityGIS::apartment-market-rent-prices-by-census-tract
    Explore at:
    Dataset updated
    Oct 23, 2024
    Dataset provided by
    Authors
    City of Seattle ArcGIS Online
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Area covered
    Description

    Displacement risk indicator classifying census tracts according to apartment rent prices in census tracts. We classify apartment rent along two dimensions:The median rents within the census tract for the specified year, balancing between nominal rental price and rental price per square foot.The change in median rent price (again balanced between nominal rent price and price per square foot) from the previous year.Note: Median 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

  7. h

    Affordable Rental Housing Inventory - HHFDC

    • geoportal.hawaii.gov
    • opendata.hawaii.gov
    • +1more
    Updated Mar 21, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Hawaii Statewide GIS Program (2023). Affordable Rental Housing Inventory - HHFDC [Dataset]. https://geoportal.hawaii.gov/datasets/975566200fd2416f9b79802f7aef1ef6
    Explore at:
    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.

  8. Geographic Management Information System

    • catalog.data.gov
    • datasets.ai
    Updated Jun 25, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    data.usaid.gov (2024). Geographic Management Information System [Dataset]. https://catalog.data.gov/dataset/geographic-management-information-system
    Explore at:
    Dataset updated
    Jun 25, 2024
    Dataset provided by
    United States Agency for International Developmenthttps://usaid.gov/
    Description

    The Geographic Management Information System (GeoMIS) is a FISMA Moderate minor application built using ArcGIS Server and portal, Microsoft SQL, and a web-facing front-end. The system can be accessed over the internet via https://www.usaidgiswbg.com using a web browser. GeoMIS is based on a commercial off-the-shelf product developed by Esri. Esri is creates geographic information system (GIS) software, web GIS and geodatabase management applications and is based in California. GeoMISIt is maintained by an Israeli company, Systematics (see Attachment 3) which is EsriI's agent in Israel. The mission has an annual maintenance contract with Systematics for GeoMIS. GeoMIS has 100 users from USAID staff (USA Direct Hire and Foreign Service Nationals) and 200 users from USAID contractors and grantees. The system is installed at USAID WBG office in Tel Aviv/Israel inside the computer room in the DMZ. It has no interconnections with any other system.

  9. d

    Housing Finance Agency Portfolio

    • catalog.data.gov
    • datahub-dc-dcgis.hub.arcgis.com
    • +3more
    Updated Feb 4, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    DC Housing Finance Agency (2025). Housing Finance Agency Portfolio [Dataset]. https://catalog.data.gov/dataset/housing-finance-agency-portfolio
    Explore at:
    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.

  10. d

    2.20 Employee Vertical Diversity (summary)

    • catalog.data.gov
    • open.tempe.gov
    • +7more
    Updated Jan 17, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Tempe (2025). 2.20 Employee Vertical Diversity (summary) [Dataset]. https://catalog.data.gov/dataset/2-20-employee-vertical-diversity-summary-0c1c3
    Explore at:
    Dataset updated
    Jan 17, 2025
    Dataset provided by
    City of Tempe
    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

  11. a

    Rural HOME properties

    • data-georgia-dca.opendata.arcgis.com
    • gisdata.fultoncountyga.gov
    • +1more
    Updated Dec 26, 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Georgia Department of Community Affairs (2019). Rural HOME properties [Dataset]. https://data-georgia-dca.opendata.arcgis.com/datasets/rural-home-properties/data
    Explore at:
    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

  12. a

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

    • vital-signs-bniajfi.hub.arcgis.com
    • data.baltimorecity.gov
    • +1more
    Updated Mar 20, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Baltimore Neighborhood Indicators Alliance (2020). Rate of Housing Vouchers per 1,000 Rental Units - City [Dataset]. https://vital-signs-bniajfi.hub.arcgis.com/maps/bniajfi::rate-of-housing-vouchers-per-1000-rental-units-city
    Explore at:
    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

  13. a

    Data from: Planning Table

    • bend-data-portal-bendoregon.hub.arcgis.com
    • data.bendoregon.gov
    • +2more
    Updated Dec 22, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Bend, Oregon (2023). Planning Table [Dataset]. https://bend-data-portal-bendoregon.hub.arcgis.com/items/a362b5994b3a4239bdc37c3c1cb7b042
    Explore at:
    Dataset updated
    Dec 22, 2023
    Dataset authored and provided by
    City of Bend, Oregon
    Description

    This dataset represents a tabular view of all City of Bend planning applications since 1993 as well as many historic application records from 1972-1993. Please note data is updated nightly and subject to change as applications are received and reviewed. Attribute Information: Field Name Description

    OBJECTID For internal use.

    GNMasterProjectID For internal use.

    GNCommonID For internal use.

    PL_RecordID For internal use.

    ApplicationNumber The tracking number for this application in the City of Bend permitting system.

    ApplicationDate Date application was submitted.

    ApplicationDescription Short description of application.

    ProjectTypeCode The generalized project type code by category such as Land Division, Short-Term-Rental, or Site Plan Review.

    ProjectTypeDesc The generalized project type description by category such as Land Division, Short-Term-Rental, or Site Plan Review.

    ApplicationTypeCode The specific application type code by category such as Partition or Lot Line Adjustment, Type 1 or Type 2 Short-Term Rental, or Site Plan Review - New Development.

    ApplicationTypeDesc The specific application type description by category such as Partition or Lot Line Adjustment, Type 1 or Type 2 Short-Term Rental, or Site Plan Review - New Development.

    ApplicationReviewStatusCode The application review status code.

    ApplicationReviewStatusDesc The application review status description.

    AppTypeUKID For internal use.

    AppStatus The current status code for the application. Updated nightly.

    AppStatusDesc The current status description for the application. Updated nightly.

    AppReviewType The land use review type code.

    AppReviewDesc The land use review type description.

    AssignedPlanner The assigned City of Bend planner.

    Owner The owner of the property of the application.

    Address The site address for the application (Please note if a project includes multiple addresses, only one is visible in this field).

    LOCID For internal use.

    SITADDID For internal use.

    TAXLOT The tax lot for the application (Please note if a project includes multiple tax lots, only one is visible in this field).

    DecisionDate The date a land use decision was issued

    Units For internal use.

    OverallStatus For internal use. For questions regarding planning applications, please visit The City of Bend Online Permit Centeror call 541-388-5580. For questions related to the data please email GIS@bendoregon.gov.

  14. Code Compliance - All Violations

    • data.greensboro-nc.gov
    • budget.greensboro-nc.gov
    • +2more
    Updated Mar 9, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Greensboro ArcGIS Online (2020). Code Compliance - All Violations [Dataset]. https://data.greensboro-nc.gov/datasets/eb7330c8600540d6972b7e094565baff
    Explore at:
    Dataset updated
    Mar 9, 2020
    Dataset provided by
    Authors
    City of Greensboro ArcGIS Online
    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

  15. a

    Arts and Culture Grant Program Awardees

    • hub.arcgis.com
    • open-data.bouldercolorado.gov
    • +1more
    Updated Aug 18, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    BoulderCO (2020). Arts and Culture Grant Program Awardees [Dataset]. https://hub.arcgis.com/maps/dd51b62683a54f99b6ca2fb38a42ab06_0/explore
    Explore at:
    Dataset updated
    Aug 18, 2020
    Dataset authored and provided by
    BoulderCO
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Description

    The Boulder Arts Commission grants program offers funding to support arts and culture organizations, individuals, and classrooms in Boulder, following the recommendations in Boulder’s Community Cultural Plan. Boulder Arts Commission grants are offered in the categories of general operating support, community projects, arts education projects, professional development, venue rental assistance, and more.The Arts and Culture Grant Program Awardees are also published online in text format, visit https://boulderarts.org/bac/bac-grant-awards/ for an overview of this data. A data dictionary with descriptions of the fields included in the dataset can be downloaded here.

  16. Public Housing Buildings

    • hub.arcgis.com
    • giscommons-countyplanning.opendata.arcgis.com
    • +3more
    Updated May 31, 2019
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri U.S. Federal Datasets (2019). Public Housing Buildings [Dataset]. https://hub.arcgis.com/datasets/fedmaps::public-housing-buildings/geoservice
    Explore at:
    Dataset updated
    May 31, 2019
    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

    Public Housing BuildingsThis National Geospatial Data Asset (NGDA) dataset, shared as a Department of Housing and Urban Development feature layer, displays the location of individual buildings within public housing units throughout the U.S. According to HUD's Public Housing Program, "Public Housing was established to provide decent and safe rental housing for eligible low-income families, the elderly, and persons with disabilities. Public housing comes in all sizes and types, from scattered single family houses to high-rise apartments for elderly families. HUD administers federal aid to local housing agencies that manage the housing for low-income residents at rents they can afford. HUD furnishes technical and professional assistance in planning, developing and managing these developments."Trenton Housing AuthorityData currency: current federal service (Public Housing Building)NGDAID: 130 (Assisted Housing - Public Housing Buildings - National Geospatial Data Asset (NGDA)OGC API Features Link: Not AvailableFor more information, please visit: Public Housing; PHA Contact InformationSupport documentation: DD Public Housing BuildingsFor feedback please contact: Esri_US_Federal_Data@esri.com NGDA 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

  17. g

    Code Compliance - All Inspections

    • data.greensboro-nc.gov
    • budget.greensboro-nc.gov
    • +3more
    Updated Mar 9, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Greensboro ArcGIS Online (2020). Code Compliance - All Inspections [Dataset]. https://data.greensboro-nc.gov/items/65179ad751e24c949b840a91970d967b
    Explore at:
    Dataset updated
    Mar 9, 2020
    Dataset authored and provided by
    City of Greensboro ArcGIS Online
    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. Fair Market Rents

    • hudgis-hud.opendata.arcgis.com
    • data.lojic.org
    • +1more
    Updated Dec 6, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Department of Housing and Urban Development (2023). Fair Market Rents [Dataset]. https://hudgis-hud.opendata.arcgis.com/datasets/12d2516901f947b5bb4da4e780e35f07
    Explore at:
    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
    North Pacific Ocean, Pacific Ocean
    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

  19. Multifamily Properties Insured by Housing and Urban Development

    • hub.arcgis.com
    Updated Oct 17, 2018
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri U.S. Federal Datasets (2018). Multifamily Properties Insured by Housing and Urban Development [Dataset]. https://hub.arcgis.com/datasets/27762688d57840fb81a8577927505b39
    Explore at:
    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 Insured by Housing and Urban DevelopmentThis National Geospatial Data Asset (NGDA) dataset, shared as a Department of Housing and Urban Development (HUD) feature layer, displays insured rental housing properties with five or more dwelling units. Per HUD, "the Federal Housing Administration (FHA) insured Multifamily Housing 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". Gateway Village (Capitol Heights, MD)Data currency: current federal service (HUD Insured Multifamily Properties)NGDAID: 123 (HUD Insured Multifamily Properties - National Geospatial Data Asset (NGDA))For more information: Multifamily HousingSupport documentation: HUD Insured 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

    FHFC Rental Properties as of 10-01-24

    • opendata-shimberg.hub.arcgis.com
    Updated Oct 24, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    uf_shimbergcenter (2024). FHFC Rental Properties as of 10-01-24 [Dataset]. https://opendata-shimberg.hub.arcgis.com/items/50675f722d2e4cdd8e7a3ef1fd7acbd3
    Explore at:
    Dataset updated
    Oct 24, 2024
    Dataset authored and provided by
    uf_shimbergcenter
    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.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Esri U.S. Federal Datasets (2018). Multifamily Properties - Assisted [Dataset]. https://giscommons-countyplanning.opendata.arcgis.com/datasets/fedmaps::multifamily-properties-assisted-1

Multifamily Properties - Assisted

Explore at:
6 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Oct 17, 2018
Dataset authored and provided by
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. 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

Search
Clear search
Close search
Google apps
Main menu