Published April 7, 2026 | Version v6

Crash Report Sampling System (CRSS) Processed Data – rfars

  • 1. toXcel LLC

Description

The General Estimates System (GES), redesigned as the Crash Report Sampling System (CRSS) in 2016, is a nationally representative sample of police-reported motor vehicle crashes in the U.S., maintained by the National Highway Traffic Safety Administration (NHTSA). While the raw GES/CRSS data are publicly available, they are distributed in formats that require significant preprocessing before analysis. This dataset provides a processed version of the GES/CRSS database (2015-2024), optimized for immediate use in R, Python, Excel, and other modern data tools. It was prepared by the rfars R package, enabling researchers, policymakers, and educators to access and analyze crash data more efficiently and reproducibly.

This dataset is provided in two different file formats to support a wide range of users and analysis environments:

  • CSV (.csv) - a plain text format, with each of the five tables saved separately. These files are the most universally compatible and can be opened directly in Excel, though they are larger.
  • RDS (.rds) - a native R format containing the full dataset as a list of five related tables (accident, vehicle, person, drugs, distract). This version is recommended for R users, since it can be loaded in one step with readRDS() and preserves all variable types exactly as processed.

If you are new to crash data or limited in data analysis resources, gescrss_flat.csv is the best starting point, via Excel.

See also: Fatality Analysis Reporting System (FARS) Processed Data – rfars

Files

gescrss_codebook.csv

Files (3.2 GB)

Name Size
md5:dc502e61ce278c49c38128d24c521ca3
82.8 MB Download
md5:89ac1cf470132030bd5513da462a3884
5.5 MB Preview Download
md5:3fe0e23c5b7982c21b869c8d415471f0
80.7 MB Preview Download
md5:db7fc8953928042aa2d1a24e39cb333e
2.4 GB Preview Download
md5:ed7356d59d4f3dd52ba30478cbf54100
205.9 MB Preview Download
md5:81d267f649ee1a3c443ab4e16fba2d55
74.7 MB Preview Download
md5:75eaba9a7ed688ead6676d4520f8a502
279.7 MB Preview Download

Additional details

Related works

Dates

Submitted
2025-09
Updated
2025-11-10
Bug fix for vehicle model year.
Updated
2026-04-07
Added 2024 data

Software

Repository URL
https://github.com/s87jackson/rfars/
Programming language
R
Development Status
Active