
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
NHTSA, fatality analysis reporting system, FARS, urban planning
NHTSA, fatality analysis reporting system, FARS, urban planning
| 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 |
