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
253,028 CRASHES IN
OHIO, OH
2023
In 2023, Ohio recorded 253,028 total traffic crashes, a 4.8% decrease from the 265,908 crashes reported in 2022. This downward trend was also reflected in total fatalities, which fell by 2.9% from 1,295 to 1,257, and total injuries, which decreased by a similar 2.9% from 95,078 to 92,348. The most notable shift was the significant drop in crashes occurring in snow and ice conditions, which fell by more than half compared to the previous year.
253,028
▼ -4.8%was 265,908
Total Crash Events
1,257
▼ -2.9%was 1,295
Persons Killed
92,348
▼ -2.9%was 95,078
Persons Injured
44,803
▼ -3.1%was 46,235
Hit-and-Run Crashes
Note: "Persons Killed" (1,257) counts individual fatalities across all crash events. "Fatal" in the severity table below (1,165) 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
Overall traffic safety trends in Ohio showed improvement from 2022 to 2023. Total crashes decreased by 4.8%, from 265,908 to 253,028. This was accompanied by a 2.9% reduction in fatalities (from 1,295 to 1,257) and a 2.9% drop in total injuries (from 95,078 to 92,348), indicating a positive year-over-year trend in crash reduction.
44,803
Hit-and-Run Crashes — 2023
▼ -3.1% vs prior (46,235)
Although the absolute number of hit-and-run incidents decreased from 46,235 in 2022 to 44,803 in 2023, the rate of these incidents as a percentage of total crashes showed a slight increase. In 2023, hit-and-runs accounted for 17.7% of all crashes, up from 17.4% in the prior year. This indicates that while overall crashes declined, hit-and-runs became slightly more prevalent proportionally.
Vulnerable Road User Casualties
158
Pedestrians Killed
1,099
Motorists Killed
2,431
Pedestrians Injured
89,917
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 consistent between 2022 and 2023. Friday continued to be the peak day for crashes in both years, although the total count on Fridays decreased from 44,675 to 41,852. Similarly, the 4 p.m. hour remained the peak time for collisions in both periods, with 20,190 crashes in 2023 compared to 21,242 in 2022. No significant shifts were observed in the daily or hourly distribution of 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
While the total number of fatal crashes decreased from 1,198 to 1,165, the fatal crash rate per 100 crashes edged up slightly from 0.45 in 2022 to 0.46 in 2023. The proportion of crashes resulting in an injury of any severity (Serious, Minor, or Possible) collectively rose from 24.8% to 25.3% of all crashes. Correspondingly, the share of crashes with no reported injuries decreased from 74.7% in 2022 to 74.3% in 2023.
Severity is per crash event (most severe injury). 1,165 fatal crash events resulted in 1,257 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 stable year-over-year, with daylight crashes accounting for 64.3% in both periods. There was a significant change in crash conditions related to weather and road surfaces. The proportion of crashes occurring on snow or ice dropped from 6.6% of all crashes in 2022 to 2.8% in 2023. Conversely, the share of crashes on wet roads increased from 17.0% to 19.2% during the same period.
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 overall composition of vehicles involved in crashes and the demographics of persons involved remained largely unchanged year-over-year. Passenger Cars and Sport Utility Vehicles were the top two vehicle types in both periods, and the top vehicle makes, led by Chevrolet and Ford, maintained their rankings. The age distribution of persons involved in crashes was also consistent, with only a minor proportional increase in the 65+ age group, which grew from 10.3% of all persons in 2022 to 10.9% in 2023.
Top Vehicle Makes (453,321 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Vehicle unit records
41,366 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (540,403 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 5, 2026
Data Coverage
- Reporting period: 2023-01-01 through 2023-12-31 (365 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 253,028
- Total persons involved: 572,463
- Total vehicles involved: 453,321
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 5, 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 5, 2026 · All rights reserved