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Exploring Spatial Gaps in Access to Low-Wage Jobs by Race and Ethnicity

These are the underlying data to the Urban Institute’s Exploring Spatial Gaps in Access to Jobs by Race and Ethnicity “Exploring Spatial Gaps in Access to Jobs by Race and Ethnicity” digital fact sheets for 25 metropolitan areas.
In these digital fact sheets, we examine how access to job opportunities for low-wage workers varies based on their race and /ethnicity and where they live. For select metropolitan regions, we compare gaps in access to jobs between workers who are white and workers who are people of color, and explore access over time by race and ethnicity. To calculate access, we created a measure that shows how many jobs are available to a resident of a given neighborhood within a 30-minute commute via public transit, accounting for competition for those jobs. We also include suggested steps that local leaders can take to address gaps in access.

These fields are compatible with DCAT, an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web.
FieldValue
Modified
2024-01-16
Release Date
2023-12-21
Identifier
1dc011de-ce95-4616-b2e1-8f63f9dcf71b
Temporal Coverage
2007-01-01 00:00 to 2019-01-01 00:00
License
Granularity
Place
Contact Name
Urban Institute
Contact Email
Public Access Level
Public
These fields are specific to Urban Institute.
FieldValue
Related Content
Data Dictionary Files
Project Code
932000-1201-000-00176
Geographic Level
Units of Observation
Original Data Source
Data Quality or Limitations

We did not include places with fewer than 250 people of color and/or fewer than 250 non-Hispanic white people in our final analysis.

Citation Requirements

Urban Institute. 2023. "Exploring Spatial Gaps in Access to Low-Wage Jobs by Race and Ethnicity". Accessible from https://datacatalog.urban.org/dataset/exploring-spatial-gaps-access-low-.... Data originally sourced from Transitland feed registry, OpenStreetMap, US Census Bureau Longitudinal Employer-Household Dynamics Origin-Destination Employment Statistics, and US Census Bureau American Community Survey 2017–2021, developed at the Urban Institute, and made available under the ODC-BY 1.0 Attribution License.