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_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
If you have any questions, please reach out to firstname.lastname@example.org.
Data and Resources
|Citation Requirements|| |
Urban Institute. 2021. Unequal Commute Data. Accessible from https://datacatalog.urban.org/dataset/unequal-commute-data. 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.