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

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

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.

Maryland, through its Coastal Zone Management (CZM) Program, is collecting information on how the public uses the Chesapeake Bay waters and adjacent lands. These baseline data will inform planning efforts being undertaken by the Maryland Department of Natural Resources to help inform public access, land acquisition, and future oyster aquaculture planning and decision-making. Collecting data on the variety of ways our Chesapeake waters are used will help us plan for reducing use conflicts in our coastal waters, maximizing efficiency, and enhancing environmental and economic productivity. Chesapeake Bay waters are used in many ways: commercial fishing, aquaculture, transport, habitat for wildlife, and recreation, among others. With new and expanding coastal and marine uses, as well as Maryland’s growing coastal population, the pressure is mounting to ensure that there is space for both traditional and new uses and that conflicts are minimized. Some mapped human use data exist, but Maryland has limited recreational water use data for the Chesapeake waters. Basic data on how we use our coastal waters was collected by inviting residents and experts to share their knowledge about recreational uses at workshops using geographical information systems technology.This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Feature Service Layer Link:https://geodata.md.gov/imap/rest/services/Society/MD_RecreationalUses/FeatureServer/10

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.

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.

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

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

This application provides key information regarding multifamily rental development properties that were either renovated or newly constructed using financing from the Department and other sources.Provided by the Department of Housing and Community Development (DHCD)Last Updated: 03/08/2018

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

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.

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

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.

In 2007, State leaders in Maryland took a bold step in their efforts to restore the Chesapeake Bay with the creation of the Chesapeake and Atlantic Coastal Bays Trust Fund (Trust Fund). The Trust Fund allows Maryland to accelerate Bay restoration by focusing limited financial resources on the most effective non-point source pollution control projects. Dollars for the Trust Fund are generated through motor fuel tax and rental car tax in Maryland. It is anticipated that when fully-funded, the Trust Fund will generate $50M annually. This file depicts the Bay Trust Fund Project locations. This is a MD iMAP hosted service. Find more information on https://imap.maryland.gov.Feature Service Link: https://geodata.md.gov/imap/rest/services/Environment/MD_TrustFund/FeatureServer/0

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

[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.

This host layers are the source of the DDP development web application, which includes new development projects and public space investment project in downtown Detroit. Data SourceNew Development: DDP Public space investment: DDPDevelopment Meta Data: OBJECTID: automatically produced id(unique)PARCELNO: (Foreign Key) Parcel number for this development projectSaleDate: Sale date for this parcel SalePrice: Sale price for this parcelTaxpayer1: Name of the taxpayer for this propertyPropClass: Class for this propertyTotSqFt: (used in web app) total Square feet for this propertyFull Address: full addressDowntownBIZ: if this development inside BIZParcelID: parcel IDBuildingName: (used in web app) Name of the building, used as the web app title for this developmentBuildingAddress: address for this building BuildingStatus: building status Owner: Owner of this development siteContactName: the contact name of this development ContactEmail:contact email CompletionData: Complete dateUseType: use type(primary, secondary)ProjectCost: (used in web app) project costFinancingSources: financing sourceMjrTenants: Major tenantsUnits: (used in web app) number of unitsSaleRent: rent description: (used in web app) Summary of this development, Public Space Investment Metadata:OBJECTID: automatically produced id(unique)Project: project nameLeadOrg: leading Organization Partners: partner nameTotalInvestment: total investment Description: description for this projectPicture: picture

The percentage of homeowners that are the principal residents of a particular residential property out of all residential properties. It is important to note that a portion of these owner-occupied properties may be subdivided and have tenants that pay rent and are not included in the calculation. Source: MdProperty View Years Available: 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020

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

Low Income Housing Tax Credit PropertiesThis National Geospatial Data Asset (NGDA) dataset, shared as a Department of Housing and Urban Development (HUD) feature layer, displays low income housing tax credit properties in the United States. Per HUD, "the Low-Income Housing Tax Credit (LIHTC) is the primary Federal program for creating affordable housing in the United States. The LIHTC program gives State and local LIHTC-allocating agencies the authority to issue tax credits for the acquisition, rehabilitation, or new construction of rental housing targeted to lower-income households. The location of the property is derived from the address of the building with the most units".Lawndale Restoration, Chicago, ILData currency: current federal service (Low Income Housing Tax Credit Properties)NGDAID: 132 (Assisted Housing - Low Income Housing Tax Credit Properties - National Geospatial Data Asset (NGDA))OGC API Features Link: Not AvailableFor more information, please visit: Low-Income Housing Tax Credit (LIHTC)Support documentation: Data Dictionary - Low Income Tax Credit ProgramFor 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