State Data System: Crash Data Report: 1990-1999
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Summary
This report, published by the National Highway Traffic Safety Administration (NHTSA) in 2002, presents descriptive statistics summarizing motor vehicle traffic crashes from 1990 to 1999. The data are drawn from the State Data System, a collection of computerized crash files from seventeen participating states: California, Florida, Georgia, Illinois, Indiana, Kansas, Maryland, Michigan, Missouri, New Mexico, North Carolina, Ohio, Pennsylvania, Texas, Utah, Virginia, and Washington. The report aims to provide a comprehensive census of crash patterns and trends within these states, supporting NHTSA’s efforts to identify safety problems, evaluate countermeasures, and study crashworthiness. The authors note that while the data are not nationally representative, they offer detailed insights into specific crash dynamics, complementing national datasets like the Fatality Analysis Reporting System (FARS). The methodology involves aggregating data from police accident reports (PARs) submitted by state agencies, primarily state police or highway safety departments. These raw data files, which vary in format and content across states and years, were converted into a common SAS® data structure to facilitate analysis. The report details significant variations in data collection standards, including differences in injury severity scales, crash reporting thresholds, and variable definitions. For instance, some states changed their PAR formats or coding practices during the decade, leading to discontinuities in the data. The report includes extensive appendices documenting state-specific inclusion criteria, reporting policies for uninjured occupants, and the SAS queries used to generate the statistics. Quality control measures were applied, though discrepancies between this report and individual state publications may arise due to data updates or differing interpretations of variable codes. The findings are organized into ten sections covering general crash characteristics, vehicle types, and person demographics, as well as specific subsets involving alcohol, speeding, rollovers, motorcycles, large trucks, age-related fatalities, and safety equipment usage. The report provides granular data on crash severity, time of day, and crash type. It highlights specific state anomalies, such as Illinois’s incomplete data for certain years due to changes in data collection scope, and Michigan’s artificially low totals in 1992 due to processing errors. The analysis reveals trends in alcohol- and speeding-related crashes, noting that definitions for these factors varied by state and year. For example, Indiana saw a dramatic increase in speeding-related crash totals after introducing a new variable for driver contributing circumstances. The report also details the impact of restraint use and helmet usage on injury outcomes, while acknowledging limitations in data completeness for these variables in certain states and years. The significance of this report lies in its provision of a standardized, longitudinal dataset for analyzing traffic safety trends across a diverse set of states. By documenting the complexities and inconsistencies inherent in state-level crash data, the report serves as a critical resource for researchers and policymakers seeking to understand the nuances of traffic safety. It underscores the importance of standardized reporting procedures, such as the Model Minimum Uniform Crash Criteria (MMUCC), to improve data utility. The report replaces earlier, less comprehensive summaries and offers corrected data for minor inaccuracies found in previous publications. Ultimately, it supports the development and evaluation of vehicle and driver countermeasures by providing detailed evidence on crash patterns, contributing factors, and injury outcomes.
Key finding
The report provides descriptive statistics on motor vehicle crashes from 1990-1999 for seventeen states, noting that data are not representative of the nation as a whole due to varying state reporting criteria.
Methodology
dataset
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 (6 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 | 3 | 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
- fatality injury trends
- comparative international
- vru crash typology
- naturalistic crash near crash
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