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
8,340 CRASHES IN
OHIO, OH
2023
In 2023, Stark County recorded 8,340 total crashes, representing a 6.9% decrease from the 8,961 crashes reported in 2022. This downward trend was accompanied by a significant reduction in traffic fatalities, which fell from 31 in the prior year to 20 in the current year. Overall, the data indicates a general improvement in traffic safety outcomes compared to the previous period.
8,340
▼ -6.9%was 8,961
Total Crash Events
20
▼ -35.5%was 31
Persons Killed
2,583
▼ -3.6%was 2,680
Persons Injured
1,488
▼ -4.1%was 1,551
Hit-and-Run Crashes
Note: "Persons Killed" (20) counts individual fatalities across all crash events. "Fatal" in the severity table below (19) 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 crashes in Stark County saw a notable year-over-year decline, falling from 8,961 in 2022 to 8,340 in 2023, a decrease of 6.9%. This downward trend extended to crash outcomes, with total injuries decreasing by 3.6% from 2,680 to 2,583. Total fatalities experienced a more substantial drop of 35.5%, from 31 to 20.
1,488
Hit-and-Run Crashes — 2023
▼ -4.1% vs prior (1,551)
While the total number of hit-and-run crashes decreased from 1,551 in 2022 to 1,488 in 2023, the hit-and-run rate trended slightly upward. These incidents constituted 17.8% of all crashes in 2023, compared to 17.3% in the prior year. This indicates that although total collisions declined, hit-and-run events represented a slightly larger proportion of the remaining crashes.
Vulnerable Road User Casualties
2
Pedestrians Killed
18
Motorists Killed
61
Pedestrians Injured
2,522
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 broadly consistent year-over-year, with Friday continuing as the peak day for collisions in both 2023 (1,398 crashes) and 2022 (1,524 crashes). However, the peak hour for crashes shifted slightly earlier, from 4 p.m. in 2022 (810 crashes) to 3 p.m. in 2023 (757 crashes). The afternoon commute period consistently registered the highest crash volumes across both years.
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 year-over-year, with the number of fatal crashes decreasing from 30 in 2022 to 19 in 2023, causing the fatal crash rate to fall from 0.3% to 0.2%. While the proportion of minor injury crashes declined from 11.2% to 10.9%, the share of serious injury crashes increased slightly from 1.6% to 1.8% of all incidents. The percentage of crashes resulting in no injury remained largely unchanged at approximately 78%.
Severity is per crash event (most severe injury). 19 fatal crash events resulted in 20 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 environmental conditions during crashes was largely consistent between 2022 and 2023. Crashes in daylight accounted for 66.6% of incidents in 2023, a slight increase from 65.3% in the prior year. Similarly, the proportion of crashes occurring on dry road surfaces rose from 75.4% to 79.6%. The share of crashes happening during rain increased slightly from 8.8% to 10.4%, while crashes in snowy conditions decreased from 4.7% to 3.2% of the total.
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 most common vehicle makes involved in crashes remained consistent, with Chevrolet and Ford leading in both years. In 2023, Chevrolet (2,268 vehicles) surpassed Ford (2,257 vehicles) as the most frequently involved make, reversing their positions from 2022. While the representation of most age groups among persons involved in crashes was stable, the 65+ age group saw its share increase from 12.3% of all persons in 2022 to 14.1% in 2023.
Top Vehicle Makes (15,057 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Vehicle unit records
1,221 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (18,409 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 7, 2026
Data Coverage
- Reporting period: 2023-01-01 through 2023-12-31 (365 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 8,340
- Total persons involved: 19,292
- Total vehicles involved: 15,057
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 7, 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 7, 2026 · All rights reserved