ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · NOVEMBER 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/november-2024-report
Monthly Traffic Safety Analysis
23,628 CRASHES IN
OHIO, OH
NOVEMBER 2024
In November 2024, there were 23,628 total crashes, a 1.0% decrease from the 23,859 crashes recorded in November 2023. While overall crashes and fatalities declined, total reported injuries increased by 2.8% from 7,424 to 7,635. The most notable shift was a substantial increase in the proportion of crashes occurring on wet roads, which rose from 14.6% to 29.2% of all incidents year-over-year.
23,628
▼ -1.0%was 23,859
Total Crash Events
90
▼ -8.2%was 98
Persons Killed
7,635
▲ 2.8%was 7,424
Persons Injured
3,584
▼ -3.0%was 3,696
Hit-and-Run Crashes
Note: "Persons Killed" (90) counts individual fatalities across all crash events. "Fatal" in the severity table below (81) 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 · 2024-11-01 to 2024-11-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall traffic crash volume showed a slight decline in November 2024 compared to the same month in the prior year, with total crashes decreasing by 1.0% from 23,859 to 23,628. Fatalities also saw a decrease of 8.2%, dropping from 98 to 90. In contrast, the number of reported injuries increased by 2.8% year-over-year, rising from 7,424 to 7,635.
3,584
Hit-and-Run Crashes — November 2024
▼ -3.0% vs prior (3,696)
The number and rate of hit-and-run incidents decreased in November 2024 compared to the previous year. There were 3,584 hit-and-run crashes, down from 3,696 in November 2023. The hit-and-run rate, representing the proportion of all crashes that were hit-and-runs, also saw a slight decline from 15.5% to 15.2%.
Vulnerable Road User Casualties
14
Pedestrians Killed
76
Motorists Killed
231
Pedestrians Injured
7,404
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-11-01 to 2024-11-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal pattern of crashes shifted year-over-year, with Friday becoming the new peak day for crashes in November 2024, recording 4,576 incidents. This contrasts with November 2023, when Wednesday was the busiest day with 4,331 crashes. The peak hour for collisions remained consistent at 6 PM in both periods, although the number of crashes during this hour increased from 2,017 to 2,200.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-11-01 to 2024-11-30 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-11-01 to 2024-11-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The proportion of crashes resulting in an injury increased in November 2024 compared to the prior year, while fatal crashes became slightly less frequent. Crashes involving any level of injury (serious, minor, or possible) constituted 22.9% of all incidents, up from 21.9% in November 2023. Specifically, minor injury crashes rose from 11.1% to 11.8% of the total. Conversely, the percentage of fatal crashes decreased from 0.4% to 0.3% of all collisions.
Severity is per crash event (most severe injury). 81 fatal crash events resulted in 90 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-11-01 to 2024-11-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-11-01 to 2024-11-30 · Most severe injury per crash record
Road & Environmental Conditions
Crashes in adverse weather and road conditions were notably more prevalent in November 2024 than in the same month a year prior. The proportion of crashes occurring on wet roads more than doubled, rising from 14.6% in November 2023 to 29.2% in November 2024. Similarly, crashes during rainy conditions increased from 9.7% to 17.1% of all incidents. Consequently, the share of crashes on dry roads decreased from 81.5% to 67.5% year-over-year.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-11-01 to 2024-11-30 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-11-01 to 2024-11-30 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-11-01 to 2024-11-30 · Road surface condition field
Vehicles & Demographics
The distribution of vehicle makes involved in crashes remained stable between November 2023 and November 2024, with Chevrolet, Ford, Honda, and Toyota consistently ranking as the top four makes in both periods. The age demographics of persons involved in crashes also showed little change. The 26-34 age group was the largest in both years, accounting for approximately 15.4% of all individuals involved, while the 16-20 age group saw a slight proportional increase from 11.0% to 11.8%.
Top Vehicle Makes (40,721 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-11-01 to 2024-11-30 · Vehicle unit records
3,162 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (49,256 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-11-01 to 2024-11-30 · 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: 2024-11-01 through 2024-11-30
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2024-11-01 through 2024-11-30 (30 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 23,628
- Total persons involved: 51,865
- Total vehicles involved: 40,721
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: November 2024." Published July 5, 2026. Reporting period: 2024-11-01 to 2024-11-30. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/november-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: 2024-11-01 – 2024-11-30
Generated: July 5, 2026 · All rights reserved