HUD is organized into 10 Regions managed each managed by a Regional Administrator who also oversees the Regional Office. Each Field Office within a Region is managed by a Field Office Director, who reports to the Regional Administrator. There is at least one HUD Field Office in every State and a total of 10 Regional Offices. Staff who answer the main office telephone will be able to respond to or direct your calls to the appropriate person.

This data layer contains all HUD regions.

This dataset denotes the service areas, and pertinent information associated with HUD's Regional Field Offices. HUD is organized into 10 Regions where each Region is managed by a Regional Administrator, who also oversees the Regional Office. Each Field Office within a Region is managed by a Field Office Director, who reports to the Regional Administrator. There is at least one HUD Field Office in every State and a total of 10 Regional Offices. Staff who answer the main office telephone will be able to respond to or direct your calls to the appropriate person.

Housing and Urban Development RegionsThis feature layer, utilizing data from the U.S. Department of Housing and Urban Development (HUD), depicts HUD's 10 regions. Per HUD, "Each Region is managed by a Regional Administrator, who also oversees the Regional Office. Each Field Office within a Region is managed by a Field Office Director, who reports to the Regional Administrator."Mid-Atlantic HUD RegionData currency: This cached Esri service is checked monthly for updates from its federal source (HUD Regions)Data modification(s): noneFor more information: HUD'S RegionsFor feedback please contact: ArcGIScomNationalMaps@esri.comHousing and Urban DevelopmentPer HUD, "The Department of Housing and Urban Development administers programs that provide housing and community development assistance. The Department also works to ensure fair and equal housing opportunity for all."

This layer is intended for researchers, students, policy makers, and the general public for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production. This layer will provide a basemap for layers related to socio-political analysis, statistical enumeration and analysis, or to support graphical overlays and analysis with other spatial data. More advanced user applications may focus on demographics, urban and rural land use planning, socio-economic analysis and related areas (including defining boundaries, managing assets and facilities, integrating attribute databases with geographic features, spatial analysis, and presentation output.)

HUD is organized in 10 Regions. Each Region is managed by a Regional Administrator, who also oversees the Regional Office. Each Field Office within a Region is managed by a Field Office Director, who reports to the Regional Administrator. Staff who answer the main office telephone will be able to respond to or direct your calls to the appropriate person.

This data layer contains all HUD field offices. Distinctions are made between regular field offices and regional offices.

Graph and download economic data for New Privately Owned Housing Completions Average Square Feet of Floor Area for Two or More Units in the Midwest Census Region (COMPSFLAA2UMMWQ) from Q1 1999 to Q4 2024 about 2 units +, floor area, Midwest Census Region, privately owned, new, housing, and USA.

Definitions of “urban” and “rural” are abundant in government, academic literature, and data-driven journalism. Equally abundant are debates about what is urban or rural and which factors should be used to define these terms. Absent from most of this discussion is evidence about how people perceive or describe their neighborhood. Moreover, as several housing and demographic researchers have noted, the lack of an official or unofficial definition of suburban obscures the stylized fact that a majority of Americans live in a suburban setting. In 2017, the U.S. Department of Housing and Urban Development added a simple question to the 2017 American Housing Survey (AHS) asking respondents to describe their neighborhood as urban, suburban, or rural. This service provides a tract-level dataset illustrating the outcome of analysis techniques applied to neighborhood classification reported by the American Housing Survey (AHS) as either urban, suburban, or rural.

To create this data, analysts first applied machine learning techniques to the AHS neighborhood description question to build a model that predicts how out-of-sample households would describe their neighborhood (urban, suburban, or rural), given regional and neighborhood characteristics. Analysts then applied the model to the American Community Survey (ACS) aggregate tract-level regional and neighborhood measures, thereby creating a predicted likelihood the average household in a census tract would describe their neighborhood as urban, suburban, and rural. This last step is commonly referred to as small area estimation. The approach is an example of the use of existing federal data to create innovative new data products of substantial interest to researchers and policy makers alike.

If aggregating tract-level probabilities to larger areas, users are strongly encouraged to use occupied household counts as weights.

We recommend users read Section 7 of the working paper before using the raw probabilities. Likewise, we recognize that some users may:

prefer to use an uncontrolled classification, or

prefer to create more than three categories.

To accommodate these uses, our final tract-level output dataset includes the "raw" probability an average household would describe their neighborhood as urban, suburban, and rural. These probability values can be used to create an uncontrolled classification or additional categories.

The final classification is controlled to AHS national estimates (26.9% urban; 52.1% suburban, 21.0% rural).

  For more information about the 2017 AHS Neighborhood Description Study click on the following visit: https://www.hud.gov/program_offices/comm_planning/communitydevelopment/programs/, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. 

Data Dictionary: DD_Urbanization Perceptions Small Area Index.

Graph and download economic data for New One Family Houses for Sale for the Northeast Census Region (HNFSNEA) from 1973 to 2024 about Northeast Census Region, 1-unit structures, family, new, sales, housing, and USA.

Graph and download economic data for New Privately-Owned Housing Units Completed: Single-Family Units in the Midwest Census Region (COMPUMW1UNSA) from Jan 1984 to Feb 2025 about Midwest Census Region, 1-unit structures, family, new, private, housing, and USA.

This map layer displays the planning areas of the winners of the Sustainable Communities Regional Planning Grant competition for FY2010 and FY2011. Program applicants were required to designate their planning area according to a set of criteria given in the Notice of Funding Availability, which in most circumstances ensured that applicant geographies would be composed of counties, MSAs, or the planning areas of Metropolitan Planning Organizations. The majority of geographies in this file were assembled from county, MSA, and MPO shapefiles available on servers or publicly elsewhere. The remaining geographies used publicly available geospatial data such as municipal line files and tribal boundaries.

To learn more about the Sustainable Communities Regional Planning Grants Program visit: https://www.hud.gov/program_offices/economic_development/sustainable_communities_regional_planning_grants, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data Dictionary: DD_Sustainable Communities Regional Planning Grantees

Date of Coverage: 12/2014

This service denotes the service areas for HUD's Homeownership Centers (HOCs) which help insure single family Federal Housing Administration (FHA) mortgages, and oversee the selling of HUD homes. Processing for much of the Single Family FHA mortgages is centralized into one of four Homeownership Centers (HOC) located in Atlanta, Philadelphia, Denver, and Santa Ana; each supporting specific geographic region. Although most questions are handled by the FHA Resource Center (not the HOC) for immediate acknowledgement and tracking, certain case specific issues will subsequently be referred to the appropriate center.

Graph and download economic data for New Privately Owned Housing Completions Average Square Feet of Floor Area for One-Family Units in the Northeast Census Region (COMPSFLAA1FNEQ) from Q1 1999 to Q4 2024 about floor area, Northeast Census Region, privately owned, 1-unit structures, family, new, housing, and USA.

Graph and download economic data for New Privately Owned Housing Completions Total Two or More Units in the West Census Region (COMP2UMWQ) from Q1 1999 to Q4 2024 about 2 units +, West Census Region, privately owned, new, housing, and USA.

Processing for much of the Single Family FHA mortgages is centralized into one of four Homeownership Centers (HOC) located in Atlanta, Philadelphia, Denver, and Santa Ana; each supporting specific geographic region. Although most questions are handled by the FHA Resource Center (not the HOC) for immediate acknowledgement and tracking, certain case specific issues will subsequently be referred to the appropriate center.

To learn more about Homeownership Centers (HOC) visit: https://www.hud.gov/program_offices/housing/sfh/sfhhocs, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov.

Graph and download economic data for New Privately-Owned Housing Units Under Construction: Single-Family Units in the Midwest Census Region (UNDCONMW1USA) from Jan 1985 to Feb 2025 about Midwest Census Region, 1-unit structures, family, construction, new, private, housing, and USA.

Abstract

A crosswalk dataset matching US ZIP codes to corresponding census tracts

Documentation

The denominators used to calculate the address ratios are the ZIP code totals. When a ZIP is split by any of the other geographies, that ZIP code is duplicated in the crosswalk file.

**Example: **ZIP code 03870 is split by two different Census tracts, 33015066000 and 33015071000, which appear in the tract column. The ratio of residential addresses in the first ZIP-Tract record to the total number of residential addresses in the ZIP code is .0042 (.42%). The remaining residential addresses in that ZIP (99.58%) fall into the second ZIP-Tract record.

So, for example, if one wanted to allocate data from ZIP code 03870 to each Census tract located in that ZIP code, one would multiply the number of observations in the ZIP code by the residential ratio for each tract associated with that ZIP code.

https://redivis.com/fileUploads/4ecb405e-f533-4a5b-8286-11e56bb93368%3E" alt="">(Note that the sum of each ratio column for each distinct ZIP code may not always equal 1.00 (or 100%) due to rounding issues.)

Census tract definition

A census tract, census area, census district or meshblock is a geographic region defined for the purpose of taking a census. Sometimes these coincide with the limits of cities, towns or other administrative areas and several tracts commonly exist within a county. In unincorporated areas of the United States these are often arbitrary, except for coinciding with political lines.

Further reading

The following article demonstrates how to more effectively use the U.S. Department of Housing and Urban Development (HUD) United States Postal Service ZIP Code Crosswalk Files when working with disparate geographies.

Wilson, Ron and Din, Alexander, 2018. “Understanding and Enhancing the U.S. Department of Housing and Urban Development’s ZIP Code Crosswalk Files,” Cityscape: A Journal of Policy Development and Research, Volume 20 Number 2, 277 – 294. URL: https://www.huduser.gov/portal/periodicals/cityscpe/vol20num2/ch16.pdf

Contact information

Questions regarding these crosswalk files can be directed to Alex Din with the subject line HUD-Crosswalks.

Acknowledgement

This dataset is taken from the U.S. Department of Housing and Urban Development (HUD) office: https://www.huduser.gov/portal/datasets/usps_crosswalk.html#codebook

LOW TRANSPORTATION COST INDEXSummaryThe Low Transportation Cost Index is based on estimates of transportation expenses for a family that meets the following description: a 3-person single-parent family with income at 50% of the median income for renters for the region (i.e. CBSA). The estimates come from the Location Affordability Index (LAI). The data correspond to those for household type 6 (hh_type6_) as noted in the LAI data dictionary. More specifically, among this household type, we model transportation costs as a percent of income for renters (t_rent). Neighborhoods are defined as census tracts. The LAI data do not contain transportation cost information for Puerto Rico.InterpretationValues are inverted and percentile ranked nationally, with values ranging from 0 to 100. The higher the transportation cost index, the lower the cost of transportation in that neighborhood. Transportation costs may be low for a range of reasons, including greater access to public transportation and the density of homes, services, and jobs in the neighborhood and surrounding community.

Data Source: Location Affordability Index (LAI) data, 2012-2016.Related AFFH-T Local Government, PHA and State Tables/Maps: Table 12; Map 11.

References: www.locationaffordability.infohttps://lai.locationaffordability.info//lai_data_dictionary.pdf

To learn more about the Low Transportation Cost Index visit: https://www.hud.gov/program_offices/fair_housing_equal_opp/affh ; https://www.hud.gov/sites/dfiles/FHEO/documents/AFFH-T-Data-Documentation-AFFHT0006-July-2020.pdf, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Date of Coverage: 07/2020

Graph and download economic data for New Houses Sold by Sales Price, Total, in Midwest Census Region (NHSSPMWT) from Q1 2020 to Q4 2024 about Midwest Census Region, new, sales, housing, and USA.