Published April 6, 2026 | Version v7
Dataset Open

Fatality Analysis Reporting System (FARS) Processed Data – rfars

  • 1. toXcel LLC

Description

The Fatality Analysis Reporting System (FARS) is a nationwide census of all U.S. motor vehicle crashes resulting in a fatality, maintained by the National Highway Traffic Safety Administration (NHTSA). While the raw FARS data are publicly available, they are distributed in formats that require significant preprocessing before analysis. This dataset provides a processed version of the FARS database (2015-2024), optimized for immediate use in R, Python, Excel, and other modern data tools. It was prepared using the rfars R package, enabling researchers, policymakers, and educators to access and analyze fatal 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.
  • RDS (.rds) - a native R format containing the full dataset as a list of the five related tables (flat, multi_acc, multi_veh, multi_per, events, and codebook). 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, fars_flat.csv is the best starting point, via Excel.

See also: Crash Report Sampling System (CRSS) Processed Data – rfars

Files

fars_codebook.csv

Files (3.0 GB)

Name Size Download all
md5:f931132757f3f32def8bc7abe5b2af82
102.2 MB Download
md5:df860222e2c0e2612ce197369744aa58
4.1 MB Preview Download
md5:8d9ead1673da2d46460ac434cc0edd05
77.7 MB Preview Download
md5:3325d9eb095dc1766a9520cb364014ef
2.3 GB Preview Download
md5:de538956b51f08cda758c63b9504e2cb
19.3 MB Preview Download
md5:c0442949c8dfa51b4aa0726649297fe7
300.0 MB Preview Download
md5:c6390eb48b1ed88a7d210866a22acd94
248.7 MB Preview Download

Additional details

Related works

Dates

Submitted
2025-09
Updated
2025-11-10
Bug fix for vehicle model year.
Updated
2026-04-06
Added 2024 data

Software

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