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
2,349 CRASHES IN
OHIO, OH
2023
In Tuscarawas County, total vehicle crashes decreased by 3.1% from 2,425 in 2022 to 2,349 in 2023. This overall decline was accompanied by a significant year-over-year reduction in traffic fatalities, which fell from 11 in the prior period to 6 in the current period. Despite the drop in total and fatal crashes, the number of persons injured saw a slight increase.
2,349
▼ -3.1%was 2,425
Total Crash Events
6
▼ -45.5%was 11
Persons Killed
688
▲ 5.5%was 652
Persons Injured
229
▼ -16.7%was 275
Hit-and-Run Crashes
Note: "Persons Killed" (6) counts individual fatalities across all crash events. "Fatal" in the severity table below (5) 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
Traffic safety data for Tuscarawas County indicates a general downward trend in the number of crashes, with a 3.1% decrease from 2022 to 2023. Fatalities saw a substantial 45.5% reduction, from 11 to 6. Conversely, the total number of injuries rose by 5.5%, increasing from 652 to 688 year-over-year.
229
Hit-and-Run Crashes — 2023
▼ -16.7% vs prior (275)
Hit-and-run incidents decreased in both volume and rate from 2022 to 2023. The total number of hit-and-run crashes fell from 275 to 229, a 16.7% reduction. The hit-and-run rate, representing the proportion of all crashes that were hit-and-runs, also trended down from 11.3% in 2022 to 9.7% in 2023.
Vulnerable Road User Casualties
0
Pedestrians Killed
6
Motorists Killed
14
Pedestrians Injured
674
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 remained largely consistent between 2022 and 2023. Friday was the peak day for crashes in both periods, accounting for 386 incidents in 2023 and 417 in 2022. Similarly, the 3 p.m. hour was the peak time for collisions in both years, with 178 crashes in 2023 and 200 in 2022. The overall daily and hourly distributions showed no significant shifts.
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
Crash severity improved from 2022 to 2023, with the fatal crash count dropping from 11 to 5, and the fatal crash rate decreasing from 0.45% to 0.21%. The proportion of crashes resulting in serious injuries remained stable at 2.3% in 2023 compared to 2.2% in 2022. However, crashes classified with 'Possible Injury' increased from 5.1% to 6.8% of all incidents, while 'No Injury' crashes decreased proportionally from 79.8% to 78.5%.
Severity is per crash event (most severe injury). 5 fatal crash events resulted in 6 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 distribution of crashes by lighting conditions was nearly identical year-over-year, with daylight crashes accounting for approximately 60% in both periods. There was a notable shift in weather-related incidents; crashes in snowy conditions decreased from 114 to 83, while crashes during rain increased from 182 to 231. Correspondingly, collisions on wet road surfaces increased from 373 to 397, while those on snowy surfaces fell from 128 to 36.
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
The composition of vehicles involved in crashes remained stable between 2022 and 2023, with Passenger Cars, Sport Utility Vehicles, and Pick-up trucks consistently being the top three types. The leading vehicle makes—Ford, Chevrolet, and Honda—also maintained their top rankings in both years with similar involvement counts. Analysis of persons involved shows a significant decrease in the 0-15 age group, from 582 individuals in 2022 to 387 in 2023.
Top Vehicle Makes (3,675 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Vehicle unit records
256 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (4,661 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: 2,349
- Total persons involved: 4,822
- Total vehicles involved: 3,675
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