Traffic Safety Facts 2007: a Compilation of Motor Vehicle Crash Data from the Fatality Analysis Reporting System and the General Estimates System
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Summary
This document, *Traffic Safety Facts 2007*, is a comprehensive statistical report published by the National Highway Traffic Safety Administration (NHTSA). It compiles motor vehicle crash data from two primary sources: the Fatality Analysis Reporting System (FARS) and the National Automotive Sampling System General Estimates System (GES). The report aims to provide a unified source for traffic safety statistics, enabling the identification of safety problems, evaluation of safety standards, and support for highway safety initiatives. The methodology relies on combining census data from FARS, which records all fatal crashes involving a motor vehicle on public trafficways resulting in death within 30 days, with sample data from GES. GES utilizes a nationally representative probability sample of police-reported crashes, covering incidents ranging from property damage to fatalities. Data collection involves trained state analysts for FARS, who code over 100 data elements from police reports, vital statistics, and medical records, while GES collectors gather data from police accident reports across a stratified sample of jurisdictions. The report presents descriptive statistics categorized by trends, crash circumstances, vehicle types, victim demographics, and state-level data. The findings for 2007 indicate that there were 37,248 traffic fatalities, 1,711,000 injuries, and 4,275,000 property-damage-only crashes, totaling 6,024,000 police-reported crashes. Among victims, 30,401 occupants were killed, with drivers accounting for 21,647 of those deaths. Nonoccupants, including pedestrians and pedalcyclists, accounted for 5,504 fatalities. The national fatality rate was 1.36 per 100 million vehicle miles traveled and 13.61 per 100,000 population. The estimated economic cost of traffic crashes was $230.6 billion. The report details specific trends, such as alcohol impairment rates among drivers in fatal crashes, restraint use statistics, and variations in crash severity by vehicle type, time of day, and roadway conditions. It also provides comparative data across states, highlighting differences in fatality rates, EMS response times, and the prevalence of specific crash factors like speeding and alcohol involvement. The significance of this report lies in its role as a foundational resource for traffic safety research and policy. By integrating fatal and non-fatal crash data, it offers a holistic view of highway safety performance. The detailed breakdowns by demographic, vehicle, and environmental factors allow stakeholders, including government agencies and researchers, to identify high-risk groups and conditions. This evidence-based compilation supports the development of targeted safety interventions, the assessment of existing regulations, and the allocation of resources to address the most prevalent causes of traffic injuries and fatalities.
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Provenance
The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via bulk_ingest_rosap on 2026-05-23 (46 acquisition events logged).
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | rosap | — | — | 2 | 2026-05-23 |
| archive | success | — | — | — | 1 | 2026-05-23 |
| extract | success | cached | — | — | 2 | 2026-06-10 |
| clean | success | — | — | — | 1 | 2026-06-01 |
| chunk | success | — | — | — | 1 | 2026-06-01 |
| embed | success | — | — | — | 1 | 2026-06-02 |
| enrich | success | — | — | — | 1 | 2026-05-23 |
| promote | success | — | — | — | 1 | 2026-05-23 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 43 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 19 | 2026-06-11 |
| verify | success | — | — | — | 2 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.
Topics
Ranked by relevance to this paper. Hover a topic for its definition.
- incidence prevalence
- demographic disparities
- comparative international
- fatality injury trends
- vru crash typology
- sex gender
Information type
What kind of knowledge this paper contributes, grouped by family — independent of topic (what it is about) and method (how it was studied).
- Empirical Findings: crash risk outcomes, observational prevalence
- Methodological Resource: dataset resource