Content

More details about each file are in the individual file descriptions.

Context

This is a dataset from the Department of Housing and Urban Development hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the HUD using Kaggle and all of the data sources available through the HUD organization page!

• Update Frequency: This dataset is updated daily.

Acknowledgements

This dataset is maintained using FRED's API and Kaggle's API.

Cover photo by Nathan Anderson on Unsplash
Unsplash Images are distributed under a unique Unsplash License.

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.

description: he 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.; abstract: he 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.

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.

This dataset represents the number of persons who successfully exit from homelessness in a given fiscal year in the Austin/Travis County Continuum of Care (CoC). This measure is comprised of Metric 7b1 and 7b2 from the HUD System Performance Measures. Data Source: The data for this measure was reported to the City of Austin by the Ending Community Homelessness Coalition (ECHO). Each year, ECHO, as the homeless Continuum of Care Lead Agency (CoC Lead), aggregates and reports community wide data (including this measure) to the Department of Housing and Urban Development (HUD). This data is referred to as System Performance Measures as they are designed to examine how well a community is responding to homelessness at a system level. View more details and insights related to this data set on the story page: https://data.austintexas.gov/stories/s/xtip-he7k

This conference aims to introduce and explain the fair housing laws under the HUD federal provisions and state proposed measures. Housing policies mandated by HUD funds aim to reduce housing segregation where it exists (e.g. building public housing in places of opportunity). Community participation is an integral part of assessing any fair housing process. The conference will also provide an opportunity to find existing data narratives that support the stories of residents in the community by providing evidence in the form of data. Aside from the local and regional data HUD provides, other data sources (e.g. CalEnviro Screen, Regional Opportunity Index, EnviroAtlas) can be used to show racially and/or ethnically concentrated areas of poverty, disparities in access to opportunities, and the overall outcomes of segregated neighborhoods. These data are described in Appendices A-D. In order to understand the legal requirements of fair housing, the local legal services organization Central California Legal Services, and a researcher roundtable, informed by community narratives, will collectively identify further research needed in the areas of affordable housing, education, active transportation, and economic development. Additionally, the goal is that participants locate themselves within the fair housing conversation and are able to collaborate across sectors to provide a full picture of housing needs, and potential for the rural and urban communities in Fresno County.

The dataset summarizes all the Title VIII fair housing cases filed by FHEO from 2006 - 2020 by county. The data includes the bases for the alleged discriminatory acts. The Federal bases are race, color, national origin, religion, sex, disability, familial status and retaliation for filing a fair housing complaint. Some of the bases have been broken out into more detailed groupings (Race - Asian, etc.) A single case may have multiple bases. Citation: HUD, 2020 Data Source: https://catalog.data.gov/dataset/fheo-filed-casesData Downloaded from Source: 02/23/2023

Data Use: This point layer indicates the locations, and tenant characteristics of public housing development buildings collected by HUD GIS. HUD administers Federal aid to local Housing Agencies (HAs) that manage housing for low-income residents at rents they can afford. Likewise, HUD furnishes technical and professional assistance in planning, developing, and managing the buildings that comprise low-income housing developments. This dataset provides the location, and resident characteristics of public housing development buildings. The buildings were filtered for sites that intersect 2019 City of Dallas Census Tracts. These locations are considered as one of several types of community assets that may support current and future agriculture. The layer is used in the webmap, COD Social Health UA to view the proximity of HUD housing with potential urban agriculture sites. HUD sites are also included as potential urban agriculture locations on page 43 of the Comprehensive Urban Agriculture Plan. Data source: HUD GIS Open DataYear: 2022Provider: FHEED, LLCRelated: COD Social Health UA, ID: ed08af809e9f4a968713fcb0e8cf8750

To assist communities in identifying racially/ethnically-concentrated areas of poverty (R/ECAPs), HUD has developed a census tract-based definition of R/ECAPs. The definition involves a racial/ethnic concentration threshold and a poverty test. The racial/ethnic concentration threshold is straightforward: R/ECAPs must have a non-white population of 50 percent or more. Regarding the poverty threshold, Wilson (1980) defines neighborhoods of extreme poverty as census tracts with 40 percent or more of individuals living at or below the poverty line. Because overall poverty levels are substantially lower in many parts of the country, HUD supplements this with an alternate criterion. Thus, a neighborhood can be a R/ECAP if it has a poverty rate that exceeds 40% or is three or more times the average tract poverty rate for the metropolitan/micropolitan area, whichever threshold is lower. Census tracts with this extreme poverty that satisfy the racial/ethnic concentration threshold are deemed R/ECAPs.While this definition of R/ECAP works well for tracts in CBSAs, place outside of these geographies are unlikely to have racial or ethnic concentrations as high as 50 percent. In these areas, the racial/ethnic concentration threshold is set at 20 percent. Data Source: Decennial census (2010); American Community Survey (ACS), 2006-2010; Brown Longitudinal Tract Database (LTDB) based on decennial census data, 2000 & 1990 References: Wilson, William J. (1980). The Declining Significance of Race: Blacks and Changing American Institutions. Chicago: University of Chicago Press. Data Source: American Community Survey (ACS), 2009-2013; Decennial Census (2010); Brown Longitudinal Tract Database (LTDB) based on decennial census data, 1990, 2000 & 2010.Related AFFH-T Local Government, PHA Tables/Maps: Table 4, 7; Maps 1-17.Related AFFH-T State Tables/Maps: Table 4, 7; Maps 1-15, 18.References:Wilson, William J. (1980). The Declining Significance of Race: Blacks and Changing American Institutions. Chicago: University of Chicago Press.To learn more about R/ECAPs visit: https://hudgis-hud.opendata.arcgis.com/datasets/56de4edea8264fe5a344da9811ef5d6e_0?geometry=127.258%2C28.846%2C-10.730%2C67.170Original data sourced from: https://hudgis-hud.opendata.arcgis.com/datasets/56de4edea8264fe5a344da9811ef5d6e_0