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Unequal Commute Data

Updated 2021-04-15
This entry includes the data behind the Urban Institute's Unequal Commute feature which was published on October 6, 2020. For more information on how the data included here is calculated, please reference our technical appendix. Below are descriptions of all available files:

  • job_access_gap.geojson: A geojson file that includes metrics on access to jobs at the block group level and geospatial data on blockgroup boundaries that is used to create the feature maps.
  • job_access_gap.csv: A csv file that includes the same fields as the geojson file above.
  • job_access_dict.csv: Data dictionary for job_access_gap.geojson and job_access_gap.csv.
  • job_access_gap_equity.csv: A csv file that includes racial and ethnic composition of block groups with the highest 10% of spatial mismatch in each CBSA and overall racial and ethnic composition in each CBSA. This file is used to create the feature bar plot.
  • job_access_gap_equity_dict.csv: Data dictionary for job_access_gap_equity.csv.

If you have any questions, please reach out to [email protected].

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Release Date
Contact Name
Urban Institute
Contact Email
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Urban Publications
Citation Requirements

Urban Institute. 2021. Unequal Commute Data. Accessible from Data originally sourced from US Census Bureau’s 2017 LEHD Origin-Destination Employment Statistics, 2014–18 American Community Survey five-year estimates, Transitland repository, OpenStreetMap, and INRIX’s 2019 Global Traffic Scorecard, developed at the Urban Institute, and made available under the ODC-BY 1.0 Attribution License.