ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · OCTOBER 2024
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/october-2024-report
Monthly Traffic Safety Analysis
24,469 CRASHES IN
OHIO, OH
OCTOBER 2024
In October 2024, there were 24,469 total crashes in Ohio, a 2.8% increase from the 23,808 crashes recorded in October 2023. Fatalities rose from 111 to 116 year-over-year. One of the most significant changes was a 41.5% increase in motorcycle-involved crashes, which rose from 299 to 423.
24,469
▲ 2.8%was 23,808
Total Crash Events
116
▲ 4.5%was 111
Persons Killed
8,689
▲ 2.2%was 8,500
Persons Injured
3,631
▼ -3.2%was 3,751
Hit-and-Run Crashes
Note: "Persons Killed" (116) counts individual fatalities across all crash events. "Fatal" in the severity table below (103) 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 · 2024-10-01 to 2024-10-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall traffic collisions in Ohio saw a slight increase in October 2024 compared to the same month in the previous year. Total crashes rose by 2.8%, from 23,808 to 24,469. This upward trend was mirrored in the human toll, with total fatalities increasing by 4.5% (from 111 to 116) and total injuries growing by 2.2% (from 8,500 to 8,689).
3,631
Hit-and-Run Crashes — October 2024
▼ -3.2% vs prior (3,751)
Hit-and-run incidents showed a downward trend in October 2024 compared to the previous year. The total number of hit-and-run crashes decreased from 3,751 to 3,631. Consequently, the hit-and-run rate, as a percentage of all crashes, also declined from 15.8% in October 2023 to 14.8% in the current period.
Vulnerable Road User Casualties
11
Pedestrians Killed
105
Motorists Killed
312
Pedestrians Injured
8,377
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-10-01 to 2024-10-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The timing of crashes shifted slightly year-over-year. In October 2024, Thursday was the peak day for crashes with 4,462 incidents, a change from the prior year when Tuesday was the busiest day with 4,019 crashes. The peak hour also moved earlier, from 4 PM (1,857 crashes) in October 2023 to 3 PM (2,000 crashes) in the current period.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-10-01 to 2024-10-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-10-01 to 2024-10-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The overall severity of crashes remained relatively stable, despite an increase in total collisions. The fatal crash rate saw a marginal decrease from 0.43% to 0.42% year-over-year. While the number of fatal crashes was nearly unchanged (103 vs. 102), the proportion of crashes resulting in serious injuries increased slightly from 2.3% to 2.4% of all incidents.
Severity is per crash event (most severe injury). 103 fatal crash events resulted in 116 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-10-01 to 2024-10-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-10-01 to 2024-10-31 · Most severe injury per crash record
Road & Environmental Conditions
Crash conditions in October 2024 were markedly different from the previous year, primarily due to weather. The proportion of crashes occurring on dry road surfaces increased from 73.8% to 91.7%, while collisions on wet surfaces fell from 25.3% to 7.8%. This corresponds with a large shift in reported weather, as crashes during rain decreased from 17.2% of the total in the prior period to just 4.6% in the current period.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-10-01 to 2024-10-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-10-01 to 2024-10-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-10-01 to 2024-10-31 · Road surface condition field
Vehicles & Demographics
The types of vehicles involved in crashes remained consistent year-over-year. The top four makes—Chevrolet, Ford, Honda, and Toyota—retained their rankings, with counts for each increasing in line with the overall rise in collisions. Analysis of person demographics shows a slight shift in age representation; the proportion of persons aged 65 and older involved in crashes increased from 11.0% in October 2023 to 11.9% in October 2024.
Top Vehicle Makes (43,499 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-10-01 to 2024-10-31 · Vehicle unit records
3,313 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (52,540 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-10-01 to 2024-10-31 · 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: 2024-10-01 through 2024-10-31
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2024-10-01 through 2024-10-31 (31 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 24,469
- Total persons involved: 55,095
- Total vehicles involved: 43,499
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: October 2024." Published July 5, 2026. Reporting period: 2024-10-01 to 2024-10-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/october-2024-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: 2024-10-01 – 2024-10-31
Generated: July 5, 2026 · All rights reserved