Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

US Truck-Involved Fatal Crashes (FARS): Filtered Dataset 2018–2024

Authors: Bregiosa, Marvin;

US Truck-Involved Fatal Crashes (FARS): Filtered Dataset 2018–2024

Abstract

This dataset is a filtered subset of records from the NHTSA Fatality Analysis Reporting System (FARS), spanning from 2018 to 2024. It includes only fatal crashes involving at least one medium or heavy commercial truck (FARS BODY_TYP codes 60–69). The dataset contains 33,898 rows, covering all 50 U.S. states and the District of Columbia. Each row represents a single fatal crash and includes the following columns: year, state FIPS code, state name, FARS city code, city name, state-case ID, total fatalities, latitude, and longitude. Passenger pickups with a Gross Vehicle Weight Rating (GVWR) under 10,000 lbs are excluded, aligning with the standard NHTSA/IIHS definition of a truck crash. A companion analysis script, `analyze.py`, downloads raw FARS National CSV zip files from static.nhtsa.gov. It then performs an accident-by-vehicle join based on `BODY_TYP` and generates per-city aggregations. An interactive report based on this data is published at: https://accidentlawyerreview.com/research/vision-zero-report-card/ The source code repository is available on GitHub: https://github.com/MarvinBregiosa/vision-zero-fars A HuggingFace mirror, which includes the same data and `datasets-library` integration, can be found at: https://huggingface.co/datasets/MarvinBregiosa/us-truck-fatalities-fars-2018-2024

Keywords

NHTSA, fatality analysis reporting system, FARS, urban planning

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average