33 datasets found
  1. HUD Program Income Limits

    • catalog.data.gov
    • datadiscoverystudio.org
    • +1more
    Updated Mar 1, 2024
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    U.S. Department of Housing and Urban Development (2024). HUD Program Income Limits [Dataset]. https://catalog.data.gov/dataset/hud-program-income-limits
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    Dataset updated
    Mar 1, 2024
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Description

    Income limits used to determine the income eligibility of applicants for assistance under three programs authorized by the National Housing Act. These programs are the Section 221(d)(3) Below Market Interest Rate (BMIR) rental program, the Section 235 program, and the Section 236 program. These income limits are listed by dollar amount and family size, and they are effective on the date issued. Due to the Housing and Economic Recovery Act of 2008 (Public Law 110-289), Income Limits used to determine qualification levels as well as set maximum rental rates for projects funded with tax credits authorized under section 42 of the Internal Revenue Code (the Code) and projects financed with tax exempt housing bonds issued to provide qualified residential rental development under section 142 of the Code (hereafter referred to as Multifamily Tax Subsidy Projects (MTSPs)) are now calculated and presented separately from the Section 8 income limits.

  2. Fair Market Rents

    • regionaldatahub-brag.hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +2more
    Updated Sep 26, 2019
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    Esri U.S. Federal Datasets (2019). Fair Market Rents [Dataset]. https://regionaldatahub-brag.hub.arcgis.com/datasets/fedmaps::fair-market-rents
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    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. A

    Public Housing Agency (PHA) Inventory

    • data.amerigeoss.org
    • data.wu.ac.at
    xls
    Updated Jul 25, 2019
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    United States[old] (2019). Public Housing Agency (PHA) Inventory [Dataset]. https://data.amerigeoss.org/gl/dataset/public-housing-agency-pha-inventory
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    xlsAvailable download formats
    Dataset updated
    Jul 25, 2019
    Dataset provided by
    United States[old]
    Description

    The dataset contains current data on low rent and Section 8 units in PHA's administered by HUD. The Section 8 Rental Voucher Program increases affordable housing choices for very low-income households by allowing families to choose privately owned rental housing. Through the Section 8 Rental Voucher Program, the administering housing authority issues a voucher to an income-qualified household, which then finds a unit to rent. If the unit meets the Section 8 quality standards, the PHA then pays the landlord the amount equal to the difference between 30 percent of the tenant's adjusted income (or 10 percent of the gross income or the portion of welfare assistance designated for housing) and the PHA-determined payment standard for the area. The rent must be reasonable compared with similar unassisted units.

  4. Data from: Public Use Data (2008-10) on Neighborhood Effects on Obesity and...

    • icpsr.umich.edu
    Updated Jan 17, 2014
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    Ludwig, Jens; Sanbonmatsu, Lisa; Gennetian, Lisa A.; Adam, Emma; Duncan, Greg J.; Katz, Lawrence F.; Kessler, Ronald C.; Kling, Jeffrey R.; Tessler Lindau, Stacy; Whitaker, Robert C.; McDade, Thomas W. (2014). Public Use Data (2008-10) on Neighborhood Effects on Obesity and Diabetes Among Low-Income Adults from the All Five Sites of the Moving to Opportunity Experiment [Dataset]. http://doi.org/10.3886/ICPSR34974.v1
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    Dataset updated
    Jan 17, 2014
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Ludwig, Jens; Sanbonmatsu, Lisa; Gennetian, Lisa A.; Adam, Emma; Duncan, Greg J.; Katz, Lawrence F.; Kessler, Ronald C.; Kling, Jeffrey R.; Tessler Lindau, Stacy; Whitaker, Robert C.; McDade, Thomas W.
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/34974/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/34974/terms

    Area covered
    Massachusetts, Baltimore, Illinois, Los Angeles, Boston, Chicago, New York (state), California, United States, New York City
    Description

    Nearly 9 million Americans live in extreme-poverty neighborhoods, places that also tend to be racially segregated and dangerous. Yet, the effects on the well-being of residents of moving out of such communities into less distressed areas remain uncertain. Moving to Opportunity (MTO) is a randomized housing experiment administered by the United States Department of Housing and Urban Development that gave low-income families living in high-poverty areas in five cities the chance to move to lower-poverty areas. Families were randomly assigned to one of three groups: (1) the low-poverty voucher (LPV) group (also called the experimental group) received Section 8 rental assistance certificates or vouchers that they could use only in census tracts with 1990 poverty rates below 10 percent. The families received mobility counseling and help in leasing a new unit. One year after relocating, families could use their voucher to move again if they wished, without any special constraints on location; (2) the traditional voucher (TRV) group (also called the Section 8 group) received regular Section 8 certificates or vouchers that they could use anywhere; these families received no special mobility counseling; (3) the control group received no certificates or vouchers through MTO, but continued to be eligible for project-based housing assistance and whatever other social programs and services to which they would otherwise be entitled. Families were tracked from baseline (1994-1998) through the long-term evaluation survey fielding period (2008-2010) with the purpose of determining the effects of "neighborhood" on participating families. This data collection includes data from the 3,273 adult interviews completed as part of the MTO long-term evaluation. Using data from the long-term evaluation, the associated article reports that moving from a high-poverty to lower-poverty neighborhood was associated in the long-term (10 to 15 years) with modest, but potentially important, reductions in the prevalence of extreme obesity and diabetes. The data contain all outcomes and mediators analyzed for the associated article (with the exception of a few mediator variables from the interim MTO evaluation) as well as a variety of demographic and other baseline measures that were controlled for in the analysis.

  5. Public housing households with family head belonging to a racial minority...

    • statista.com
    Updated Nov 6, 2024
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    Statista (2024). Public housing households with family head belonging to a racial minority U.S. 2023 [Dataset]. https://www.statista.com/statistics/1416793/public-housing-households-with-minority-family-head-us/
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    Dataset updated
    Nov 6, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    The majority of public housing households in the U.S. were of a racial minority in 2023. In about 71 percent of the households, the head of the family belonged to a racial minority. That percentage was the lowest in Vermont, at three percent, and the highest in Puerto Rico, where a hundred percent of the households were considered a racial minority by the source.

  6. Average waiting period for public housing in the U.S. 2023, by state

    • statista.com
    Updated Jan 28, 2025
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    Average waiting period for public housing in the U.S. 2023, by state [Dataset]. https://www.statista.com/statistics/1416794/public-housing-waiting-period-us-by-state/
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    Dataset updated
    Jan 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, the District of Columbia had the longest waiting period among other states to obtain public housing accommodation in the United States. The average waiting period in the District of Columbia was 191 months, much higher than the national average of 20 months. California followed, with a waiting period of 60 months. Hawaii and New Jersey were some other states with protracted waiting periods, all exceeding 40 months. Nebraska, Puerto Rico, and Iowa, also reported shorter waiting times, ranging from eight to nine months. Public housing in the U.S. is owned by local agencies, which receive allocations by the Department of Housing and Urban Development to build, operate, and improve the housing conditions.

  7. F

    Monthly Supply of New Houses in the United States

    • fred.stlouisfed.org
    json
    Updated May 23, 2025
    + more versions
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    (2025). Monthly Supply of New Houses in the United States [Dataset]. https://fred.stlouisfed.org/series/MSACSR
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    jsonAvailable download formats
    Dataset updated
    May 23, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Monthly Supply of New Houses in the United States (MSACSR) from Jan 1963 to Apr 2025 about supplies, new, housing, and USA.

  8. d

    Affordable Housing

    • opendata.dc.gov
    • catalog.data.gov
    • +4more
    Updated Jun 27, 2016
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    City of Washington, DC (2016). Affordable Housing [Dataset]. https://opendata.dc.gov/datasets/affordable-housing
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    Dataset updated
    Jun 27, 2016
    Dataset authored and provided by
    City of Washington, DC
    License

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

    Area covered
    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.

  9. Multifamily Assistance Section 8 Contracts

    • datasets.ai
    • catalog.data.gov
    0
    Updated Sep 27, 2024
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    Department of Housing and Urban Development (2024). Multifamily Assistance Section 8 Contracts [Dataset]. https://datasets.ai/datasets/multifamily-assistance-section-8-contracts
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    0Available download formats
    Dataset updated
    Sep 27, 2024
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Authors
    Department of Housing and Urban Development
    Description

    The information regarding the Multifamily Assistance and Section 8 contracts, and properties is being furnished for the convenience of interested parties. The information has been compiled from multiple data sources within FHA or its contractors. This information does not purport to be complete or all inclusive. No representation or warranty, express or implied, as to any of the information contained in these files is made by HUD, FHA or any of their respective contractors, representatives or agents, or any officer, Director, employee, or any of the above.

  10. 50th Percentile Rent Estimates

    • data.wu.ac.at
    • datadiscoverystudio.org
    • +2more
    application/xls
    Updated Mar 7, 2014
    + more versions
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    Department of Housing and Urban Development (2014). 50th Percentile Rent Estimates [Dataset]. https://data.wu.ac.at/schema/data_gov/MjEyYWMzM2ItNGM4OS00YTQwLThmODEtYTE2NTUyNWY0NmY0
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    application/xlsAvailable download formats
    Dataset updated
    Mar 7, 2014
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Description

    Rent estimates at the 50th percentile (or median) are calculated for all Fair Market Rent areas. Fair Market Rents (FMRs) are primarily used to determine payment standard amounts for the Housing Choice Voucher program, to determine initial renewal rents for some expiring project-based Section 8 contracts, to determine initial rents for housing assistance payment (HAP) contracts in the Moderate Rehabilitation Single Room Occupancy program (Mod Rehab), and to serve as a rent ceiling in the HOME rental assistance program. FMRs are gross rent estimates. They include the shelter rent plus the cost of all tenant-paid utilities, except telephones, cable or satellite television service, and internet service. The U.S. Department of Housing and Urban Development (HUD) annually estimates FMRs for 530 metropolitan areas and 2,045 nonmetropolitan county FMR areas. Under certain conditions, as set forth in the Interim Rule (Federal Register Vol. 65, No. 191, Monday October 2, 2000, pages 58870-58875), these 50th percentile rents can be used to set success rate payment standards.

  11. American Housing Survey, 2015 Metropolitan Data, Including an Arts and...

    • icpsr.umich.edu
    ascii, delimited +5
    Updated Mar 5, 2019
    + more versions
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    United States. Bureau of the Census (2019). American Housing Survey, 2015 Metropolitan Data, Including an Arts and Culture Module [Dataset]. http://doi.org/10.3886/ICPSR36805.v1
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    excel, r, stata, sas, spss, delimited, asciiAvailable download formats
    Dataset updated
    Mar 5, 2019
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States. Bureau of the Census
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/36805/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/36805/terms

    Time period covered
    2015
    Area covered
    United States
    Description

    The 2015 American Housing Survey marks the first release of a newly integrated national sample and independent metropolitan area samples. The 2015 release features many variable name revisions, as well as the integration of an AHS Codebook Interactive Tool available on the U.S. Census Bureau Web site. This data collection provides information on representative samples of each of the 15 largest metropolitan areas across the United States, which are also included in the integrated national sample (available as ICPSR 36801). The metropolitan area sample also features representative samples of 10 additional metropolitan areas that are not present in the national sample. The U.S. Department of Housing and Urban Development (HUD) and the U.S. Census Bureau intend to survey the 15 largest metropolitan areas once every 2 years. To ensure the sample was representative of all housing units within each metro area, the U.S. Census Bureau stratified all housing units into one of the following categories: (1) A HUD-assisted unit (as of 2013); (2) Trailer or mobile home; (3) Owner-occupied and one unit in structure; (4) Owner-occupied and two or more units in structure; (5) Renter-occupied and one unit in structure; (6) Renter-occupied and two or more units in structure; (7) Vacant and one unit in structure; (8) Vacant and two or more units in structure; and (9) Other units, such as houseboats and recreational vehicles. The data are presented in three separate parts: Part 1, Household Record (Main Record); Part 2, Person Record; and Part 3, Project Record. Household Record data includes questions about household occupancy and tenure, household exterior and interior structural features, household equipment and appliances, housing problems, housing costs, home improvement, neighborhood features, recent moving information, income, and basic demographic information. The Household Record data also features four rotating topical modules: Arts and Culture, Food Security, Housing Counseling, and Healthy Homes. Person Record data includes questions about personal disabilities, income, and basic demographic information. Finally, Project Record data includes questions about home improvement projects. Specific questions were asked about the types of projects, costs, funding sources, and year of completion.

  12. A

    Active Multifamily Portfolio-Property Level data

    • data.amerigeoss.org
    • datadiscoverystudio.org
    • +2more
    xls
    Updated Jul 30, 2019
    + more versions
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    United States (2019). Active Multifamily Portfolio-Property Level data [Dataset]. https://data.amerigeoss.org/ar/dataset/active-multifamily-portfolio-property-level-data
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    xlsAvailable download formats
    Dataset updated
    Jul 30, 2019
    Dataset provided by
    United States
    Description

    Multifamily Portfolio datasets (section 8 contracts) - The information has been compiled from multiple data sources within FHA or its contractors. HUD oversees more than 22,000 privately owned multifamily properties, and more than 1.4 million assisted housing units. These homes were originally financed with FHA-insured or Direct Loans and many are supported with Section 8 or other rental assistance contracts. Our existing stock of affordable rental housing is a critical resource for seniors and families who otherwise would not have access to safe, decent places to call home.

  13. a

    Fair Market Rents (Fair Market Rents For The Section 8 Housing Assistance...

    • ngda-real-property-geoplatform.hub.arcgis.com
    Updated Aug 31, 2022
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    GeoPlatform ArcGIS Online (2022). Fair Market Rents (Fair Market Rents For The Section 8 Housing Assistance Payments Program) - National Geospatial Data Asset (NGDA) [Dataset]. https://ngda-real-property-geoplatform.hub.arcgis.com/datasets/fair-market-rents-fair-market-rents-for-the-section-8-housing-assistance-payments-program-national-geospatial-data-asset-ngda
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    Dataset updated
    Aug 31, 2022
    Dataset authored and provided by
    GeoPlatform ArcGIS Online
    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/

    Data Dictionary: DD_Fair Market Rents

    Date of Coverage: FY2022 Data Updated: Annuallyhttps://catalog.data.gov/dataset/fair-market-rents-fair-market-rents-for-the-section-8-housing-assistance-payments-program-

  14. c

    Development Based Housing

    • data.charlottenc.gov
    Updated Aug 18, 2021
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    City of Charlotte (2021). Development Based Housing [Dataset]. https://data.charlottenc.gov/datasets/development-based-housing
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    Dataset updated
    Aug 18, 2021
    Dataset authored and provided by
    City of Charlotte
    Description

    Development-based rental assistance includes properties with Low-Income Housing Tax Credits, public housing developments of the Charlotte Housing Authority, developments of the Charlotte-Mecklenburg Housing Partnership, developments with funding from the Charlotte Housing Trust Fund, developments with active Section 202 Direct Loans for housing for the elderly or handicapped, units with active Project-Based Rental Assistance Section 8 Contracts through the U.S. Department of Housing and Urban Development (HUD), and units with active HOME Rental Assistance subsidies through HUD.

  15. g

    Resident Economic Empowerment and Sustainability (REES) for NYCHA Residents...

    • gimi9.com
    Updated Apr 4, 2014
    + more versions
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    (2014). Resident Economic Empowerment and Sustainability (REES) for NYCHA Residents – Council District - Local Law 163 | gimi9.com [Dataset]. https://gimi9.com/dataset/ny_h65x-gk9r
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    Dataset updated
    Apr 4, 2014
    License

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

    Description

    This dataset contains information about the New York City Housing Authority’s (NYCHA) Office of Resident Economic Empowerment and Sustainability (REES). REES supports NYCHA public housing and Section 8 residents’ increased income and assets through programs, policies and formal partnerships in the areas of employment and advancement, adult education and training, financial literacy and asset building and resident business development. Each row in the dataset represents the number of public housing residents on a City Council District level who receive or utilize this service. Data on interagency collaborations such as Jobs-Plus and Business Pathways are not part of this data but are accounted for in NYC Business Solutions and Human Resources data respectively. As per HUD regulations REES serves NYCHA public housing, NYCHA Section 8 and Section 3 residents. The dataset is part of the annual report compiled by the Mayor’s Office of Operations as mandated by the Local Law 163 of 2016 on different services provided to NYCHA residents. See other datasets in this report by searching the keyword “Services available to NYCHA Residents - Local Law 163 (2016)” on the Open Data Portal.

  16. A

    ‘Resident Economic Empowerment and Sustainability (REES) for NYCHA Residents...

    • analyst-2.ai
    Updated Jan 27, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Resident Economic Empowerment and Sustainability (REES) for NYCHA Residents – NYCHA Development - Local Law 163’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-resident-economic-empowerment-and-sustainability-rees-for-nycha-residents-nycha-development-local-law-163-489d/latest
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    Dataset updated
    Jan 27, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Resident Economic Empowerment and Sustainability (REES) for NYCHA Residents – NYCHA Development - Local Law 163’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/d1e90838-c83d-4f29-b886-f531ea333d26 on 27 January 2022.

    --- Dataset description provided by original source is as follows ---

    This dataset contains information about the New York City Housing Authority’s (NYCHA) Office of Resident Economic Empowerment and Sustainability (REES). REES supports NYCHA public housing and Section 8 residents’ increased income and assets through programs, policies and formal partnerships in the areas of employment and advancement, adult education and training, financial literacy and asset building and resident business development. Each row in the dataset represents the number of public housing residents on a NYCHA Development-level who receive or utilize this service. Data on interagency collaborations such as Jobs-Plus and Business Pathways are not part of this data but are accounted for in NYC Business Solutions and Human Resources data respectively. As per HUD regulations REES serves NYCHA public housing, NYCHA Section 8 and Section 3 residents.

    The dataset is part of the annual report compiled by the Mayor’s Office of Operations as mandated by the Local Law 163 of 2016 on different services provided to NYCHA residents. See other datasets in this report by searching the keyword “Services available to NYCHA Residents - Local Law 163 (2016)” on the Open Data Portal.

    --- Original source retains full ownership of the source dataset ---

  17. a

    3.05 Subsidized Housing (summary)

    • safe-and-secure-communities-tempegov.hub.arcgis.com
    • data-academy.tempe.gov
    • +4more
    Updated Dec 19, 2019
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    City of Tempe (2019). 3.05 Subsidized Housing (summary) [Dataset]. https://safe-and-secure-communities-tempegov.hub.arcgis.com/items/fc8713d558de4811bc6d125a9bf75188
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    Dataset updated
    Dec 19, 2019
    Dataset authored and provided by
    City of Tempe
    Description

    This dataset provides information on Tempe's subsidized housing program. Tempe has a fixed number of Housing Choice Vouchers (HCVs) based on our HUD contract, which represents the maximum number of families that the Housing Authority could assist. Congress and HUD do not fund the program to assist all of the families we are allotted to assist. We can only assist the number of families we have the budget to assist. HUD provides an initial funding amount based on what they anticipate they will allocate to housing assistance payments. The actual amount of funding received is subject to change depending on Federal Budget priorities, Congressional approval and many other factors. Expenditures are reported monthly, as HUD requires expenses to be posted in the month they were incurred rather than the month the expense was paid. The performance measure dashboard is available at 3.05 Subsidized Housing.Additional InformationSource: Manually maintained data, Housing Pro and QuickbooksContact: Irma Hollamby CainContact Phone: 480-858-2264Data Source Type: ExcelPreparation Method: Monthly values are calculated by determining the month each of the expenditures was for and retroactively accruing the funding use to the appropriate period. There are multiple, multistep excel worksheets that are used to balance between the specialty Housing Software, City Financial System and the HUD mandated reporting system. Additionally, it is important to note that Funding is allocated by Congress on the Federal Fiscal Year (October - September), the City operates on a Fiscal Year (July - June) and HUD provides funding on the Housing Authority in Calendar Year (January - December) funding increments. Therefore, the City must cross balance between three funding years.Publish Frequency: AnnuallyPublish Method: ManualData Dictionary

  18. g

    Contract Renewal Information - All Contracts

    • gimi9.com
    • catalog.data.gov
    Updated Jul 21, 2011
    + more versions
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    (2011). Contract Renewal Information - All Contracts [Dataset]. https://gimi9.com/dataset/data-gov_contract-renewal-information-all-contracts/
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    Dataset updated
    Jul 21, 2011
    Description

    Multifamily Portfolio datasets (section 8 contracts) - The information has been compiled from multiple data sources within FHA or its contractors. HUD oversees more than 22,000 privately owned multifamily properties, and more than 1.4 million assisted housing units. These homes were originally financed with FHA-insured or Direct Loans and many are supported with Section 8 or other rental assistance contracts. Our existing stock of affordable rental housing is a critical resource for seniors and families who otherwise would not have access to safe, decent places to call home.

  19. Environmental Review Records

    • s.cnmilf.com
    Updated Mar 1, 2024
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    U.S. Department of Housing and Urban Development (2024). Environmental Review Records [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/environmental-review-records
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    Dataset updated
    Mar 1, 2024
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Description

    HUD’s Environmental Review Records page houses environmental reviews made publicly available through the HUD Environmental Review Online System (HEROS). This includes environmental assessments, CEST reviews, and CEST reviews that converted to exempt. New or updated environmental reviews are posted between 8 AM and 10 PM ET Monday through Saturday.

  20. w

    Local Law 44 - Other City Financial Assistance

    • data.wu.ac.at
    • data.cityofnewyork.us
    application/excel +5
    Updated Aug 16, 2018
    + more versions
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    NYC OpenData (2018). Local Law 44 - Other City Financial Assistance [Dataset]. https://data.wu.ac.at/schema/nycopendata_socrata_com/N3I2aS10ZGoy
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    xlsx, json, csv, xml, application/xml+rdf, application/excelAvailable download formats
    Dataset updated
    Aug 16, 2018
    Dataset provided by
    NYC OpenData
    Description

    The Other City Financial Assistance data table includes the amounts, names and types of other City Financial Assistance such as credit facility, Section 8 Project Based Voucher (PBV) Housing Assistance Payment (HAP), and discounted land value for each Local Law 44 Housing Development Project. This information is reported pursuant to Local Law 44 of 2012, and is part of the Housing Projects Receiving City Financial Assistance (Local Law 44) collection of data tables.

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U.S. Department of Housing and Urban Development (2024). HUD Program Income Limits [Dataset]. https://catalog.data.gov/dataset/hud-program-income-limits
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HUD Program Income Limits

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4 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Mar 1, 2024
Dataset provided by
United States Department of Housing and Urban Developmenthttp://www.hud.gov/
Description

Income limits used to determine the income eligibility of applicants for assistance under three programs authorized by the National Housing Act. These programs are the Section 221(d)(3) Below Market Interest Rate (BMIR) rental program, the Section 235 program, and the Section 236 program. These income limits are listed by dollar amount and family size, and they are effective on the date issued. Due to the Housing and Economic Recovery Act of 2008 (Public Law 110-289), Income Limits used to determine qualification levels as well as set maximum rental rates for projects funded with tax credits authorized under section 42 of the Internal Revenue Code (the Code) and projects financed with tax exempt housing bonds issued to provide qualified residential rental development under section 142 of the Code (hereafter referred to as Multifamily Tax Subsidy Projects (MTSPs)) are now calculated and presented separately from the Section 8 income limits.

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