ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · 2023
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/ohio/statewide/2023-annual-report
Yearly Traffic Safety Analysis
3,931 CRASHES IN
OHIO, OH
2023
In 2023, Trumbull County recorded 3,931 vehicle crashes, a 1.6% increase from the 3,871 crashes reported in 2022. While the overall crash volume remained relatively stable, the number of people killed in these incidents rose sharply. The most significant year-over-year change was a 60% increase in total fatalities, which grew from 15 in 2022 to 24 in 2023.
3,931
▲ 1.5%was 3,871
Total Crash Events
24
▲ 60.0%was 15
Persons Killed
1,564
▲ 4.1%was 1,502
Persons Injured
422
▲ 7.9%was 391
Hit-and-Run Crashes
Note: "Persons Killed" (24) counts individual fatalities across all crash events. "Fatal" in the severity table below (20) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
The data indicates a trend of slightly more frequent and significantly more severe crashes in 2023 compared to the prior year. Total crashes increased by 1.6% (from 3,871 to 3,931), while total injuries rose by 4.1% (from 1,502 to 1,564). Most notably, total fatalities increased by 60%, climbing from 15 in 2022 to 24 in 2023.
422
Hit-and-Run Crashes — 2023
▲ 7.9% vs prior (391)
Hit-and-run incidents in Trumbull County increased from 2022 to 2023. The total number of hit-and-run crashes rose from 391 to 422. This represents an increase in the hit-and-run rate, which climbed from 10.1% of all crashes in 2022 to 10.7% in 2023, indicating an upward trend for this crash type.
Vulnerable Road User Casualties
3
Pedestrians Killed
21
Motorists Killed
24
Pedestrians Injured
1,540
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes showed a slight shift between the two years. The peak day for crashes moved from Friday (685 crashes) in 2022 to Tuesday (646 crashes) in 2023. The peak hour for collisions also shifted later, from 3 p.m. in the prior year (365 crashes) to 4 p.m. in the current year (327 crashes).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity of crashes worsened in 2023 compared to the previous year. The number of fatal crashes increased from 15 to 20, and the corresponding fatal crash rate rose from 0.39% to 0.51%. Crashes resulting in serious injuries also grew, from 104 incidents (2.7% of total) in 2022 to 113 (2.9% of total) in 2023. Consequently, the proportion of crashes involving no injuries decreased from 73.7% to 72.5%.
Severity is per crash event (most severe injury). 20 fatal crash events resulted in 24 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Most severe injury per crash record
Road & Environmental Conditions
The majority of crashes in both 2023 (74.8%) and 2022 (72.5%) occurred on dry roads. However, there was a notable shift in the type of adverse conditions, with crashes during rain increasing from 335 to 461 and crashes in snow decreasing from 318 to 149. This corresponds with a rise in collisions on wet road surfaces (from 688 to 836) and a drop in those on snowy or icy surfaces (from 340 to 135). Lighting conditions remained proportionally consistent, with daylight crashes accounting for approximately 63% of the total in both years.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Road surface condition field
Vehicles & Demographics
Passenger cars and Sport Utility Vehicles were the most common vehicles in crashes for both years, with their numbers remaining relatively stable. Chevrolet and Ford were consistently the top two vehicle makes involved in collisions. In 2023, Toyota (355 vehicles) moved into the third position, surpassing Dodge (333 vehicles). Regarding persons involved, the 26-34 age group was the largest cohort in both periods, while the 65+ age group saw a 12.6% increase in involvement, from 1,116 individuals in 2022 to 1,257 in 2023.
Top Vehicle Makes (6,648 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Vehicle unit records
361 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (8,512 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Person-level records linked to crash events
Data Sources & Methodology
Primary Data Source
All crash data in this report is sourced from Ohio Crash Data (ODOT TIMS), accessed programmatically via the Csv Open Data API (SODA). This dataset contains official police-reported motor vehicle traffic crash records maintained by the reporting jurisdiction's law enforcement agency. Records are published to the open data portal by the municipality and are subject to the portal's terms of use.
Data Retrieval
- Access method: Csv Open Data API (SoQL queries)
- Data format: Structured JSON via REST API
- Record types queried: Crash events, person records, and vehicle unit records
- Date filter applied: 2023-01-01 through 2023-12-31
- Report generated: July 6, 2026
Data Coverage
- Reporting period: 2023-01-01 through 2023-12-31 (365 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 3,931
- Total persons involved: 8,833
- Total vehicles involved: 6,648
Analytical Methodology
- Severity classification: Uses the KABCO injury scale (K=Fatal, A=Incapacitating injury, B=Non-incapacitating injury, C=Possible injury, O=No injury/property damage only), the standard classification in U.S. Model Minimum Uniform Crash Criteria (MMUCC). Severity is assigned per crash event based on the most severe injury in that crash. A single fatal crash (K) may involve multiple fatalities; therefore the "Persons Killed" count in the headline KPIs may differ from the "Fatal" crash count in the severity breakdown.
- Contributing factors: Reflect the officer-determined primary contributory cause recorded at the time of the crash report. These are preliminary determinations and may not reflect final investigation findings.
- Hit-and-run classification: Based on the hit-and-run indicator field in the official crash report, as determined by the responding officer at the scene.
- Temporal analysis: Day-of-week and hour-of-day distributions are computed from the crash date/time timestamp in each record.
- Demographics: Age and sex distributions are drawn from person-level records linked to each crash event. A single crash may involve multiple persons.
- Vehicle data: Make information is drawn from vehicle unit records linked to each crash event.
- AI commentary: Narrative sections are generated by Google Gemini (large language model) based on the structured data. Commentary is descriptive, not predictive, and should not be interpreted as expert opinion.
Limitations & Disclaimers
- Only crashes reported to and documented by law enforcement are included. Minor incidents, unreported crashes, and near-misses are not captured in this dataset.
- Data reflects conditions at the time of the initial police report and may be subject to subsequent corrections, reclassifications, or supplements by the reporting agency.
- Open data portal records may experience a publication lag - recently occurring crashes may not yet appear in the dataset at the time of report generation.
- AI-generated commentary is produced by a large language model and is intended to highlight patterns in the data. It does not constitute legal, medical, or professional analysis.
- Percentages are calculated from reported data and are subject to rounding.
Non-Affiliation Disclosure
This report is produced independently by ThatCarHitMe.com (Injuria.ai). It is not affiliated with, endorsed by, or produced in partnership with any law enforcement agency, municipal government, state department of transportation, or the National Highway Traffic Safety Administration (NHTSA). Data is sourced from publicly available government open data portals.
Data License
The underlying crash data is provided under the municipality's Open Data Terms of Use and is made available to the public for unrestricted use. This analysis and report is © 2026 Injuria.ai and may be cited with attribution using the suggested citation below.
Corrections & Feedback
If you believe any data in this report is inaccurate or have questions about our methodology, please contact: data@injuria.ai. We are committed to accuracy and will issue corrections promptly.
Suggested Citation
ThatCarHitMe.com (Injuria.ai). "ohio, OH Crash Intelligence Report: 2023." Published July 6, 2026. Reporting period: 2023-01-01 to 2023-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/2023-annual-report
About the Publisher
ThatCarHitMe.com is a crash data intelligence platform developed by Injuria.ai, a legal technology company specializing in traffic safety analytics. We aggregate and analyze publicly available government crash data to produce structured intelligence reports for communities, researchers, journalists, and legal professionals. Our reports combine programmatic data retrieval from official open data portals with AI-assisted narrative analysis.
Questions about this report's data or methodology: data@injuria.ai
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Ohio Crash Data (ODOT TIMS) · Csv
Period: 2023-01-01 – 2023-12-31
Generated: July 6, 2026 · All rights reserved