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Classification scheme for Census tracts and ZCTAs as rural, urban, or suburban based on RUCA Codes.

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Rural, Suburban, Urban Classification for Small-Area Analyses

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This repository includes the data, methods and code used in developing the classification scheme for Census tracts and zip codes as rural, urban, or suburban, based on USDA RUCA Codes.

For more information, please review our working draft of our Research Brief.

Census Tracts Zip Codes

Folder structure

data_final:

  • RuralSubUrban_T.csv: Census tract rural/suburban/urban classification data (csv format)
  • RuralSubUrban_T_Shapefile.zip: Zip file containing 4 files comprising shapefile with Census tract classification
  • RuralSubUrban_Z.csv: Zip code rural/suburban/urban classification data
  • RuralSubUrban_Z_Shapefile.zip: Zip file containing 4 files comprising shapefile with ZCTA classification
Variable Description
tractFIPS Unique 11-digit FIPS code for Census tracts
zip_code Unique 5-digit zip code
rurality Assigned rurality (Urban, Suburban, Rural) based on classification
RUCA1 Original primary RUCA Code
RUCA2 Original full (secondary) RUCA Code
  • RuralSubUrban_C.csv: County percent rurality data

This dataset reports the percentage of Census tract in each county classified as rural, suburban, or urban.

Variable Description
GEOID Unique 5-digit FIPS code for counties
UrbP Percentage of tracts classified as urban
SubrbP Percentage of tracts classified as suburban
RuralP Percentage of tracts classified as rural

data_raw:

code:

  • rsu_maps.r: Script that prepares data and generates maps for tracts and ZCTAs by their rural/suburban/urban classification.
  • zcta_pop.r: Script that merges tract population data with urban, rural, suburban ZCTA classification, and calculates population density and summary statistics for each category.
  • Script that generates Census tract- and ZCTA-level rural/suburban/urban classification, based on the USDA & University of Washington RUCA codes. Also generates county-level percent rurality metrics.

Citation

DOI

Susan Paykin (co), Moksha Menghaney (co), Qinyun Lin, and Marynia Kolak (2021). Rural, Suburban, Urban Classification for Small-Area Analysis. Healthy Regions & Policies Lab, Center for Spatial Data Science, University of Chicago.

Acknowledgements

The authors gratefully acknowledge the contributions of Luc Anselin and Julia Koschinsky of the Center for Spatial Data Science, University of Chicago.

This research was supported in part by the Robert Wood Johnson Foundation (RWJF). It was also supported by the National Institute on Drug Abuse, National Institutes of Health, through the NIH HEAL Initiative under award number UG3DA123456. The contents of this publication are solely the responsibility of the authors and do not necessarily represent the official views of the NIH, the Initiative, or the participating sites.

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Classification scheme for Census tracts and ZCTAs as rural, urban, or suburban based on RUCA Codes.

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