ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · NOVEMBER 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/november-2023-report
Monthly Traffic Safety Analysis
23,859 CRASHES IN
OHIO, OH
NOVEMBER 2023
In November 2023, Ohio recorded 23,859 vehicle crashes, a 4.3% decrease from the 24,939 crashes documented in November 2022. This downward trend was also reflected in crash outcomes, with total fatalities declining by 16.2% from 117 to 98 year-over-year. A significant contributing factor to the overall reduction was a 57% decrease in crashes occurring in snowy conditions.
23,859
▼ -4.3%was 24,939
Total Crash Events
98
▼ -16.2%was 117
Persons Killed
7,424
▼ -7.2%was 8,002
Persons Injured
3,696
▼ -0.5%was 3,713
Hit-and-Run Crashes
Note: "Persons Killed" (98) counts individual fatalities across all crash events. "Fatal" in the severity table below (87) 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 · 2023-11-01 to 2023-11-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall traffic safety metrics improved in November 2023 compared to the same month in the prior year. Total crashes fell by 4.3% from 24,939 to 23,859. Concurrently, the number of people injured decreased by 7.2% to 7,424, and fatalities saw a notable 16.2% drop from 117 to 98.
3,696
Hit-and-Run Crashes — November 2023
▼ -0.5% vs prior (3,713)
The total number of hit-and-run crashes remained relatively stable, decreasing slightly from 3,713 in November 2022 to 3,696 in November 2023. However, because the overall number of crashes declined, the hit-and-run rate as a proportion of all crashes increased. Hit-and-runs constituted 15.5% of all crashes in the current period, up from 14.9% in the prior year.
Vulnerable Road User Casualties
14
Pedestrians Killed
84
Motorists Killed
202
Pedestrians Injured
7,222
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-11-01 to 2023-11-30 · 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 highly consistent year-over-year. Wednesday was the peak day for crashes in both November 2023 (4,331 incidents) and November 2022 (4,383 incidents). Similarly, the 6 PM hour was the peak time in both periods, with 2,017 crashes in the current period and 2,081 in the prior. The only notable daily shift was an 11% increase in crashes occurring on Thursdays in November 2023 compared to the previous year.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-11-01 to 2023-11-30 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-11-01 to 2023-11-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity profile of crashes shifted slightly toward less severe outcomes in November 2023. While the proportion of fatal crashes was stable at 0.4% in both periods, the share of crashes resulting in serious injury decreased from 2.1% to 1.8%. Correspondingly, the proportion of crashes with no reported injuries increased from 76.9% to 77.7% of all incidents.
Severity is per crash event (most severe injury). 87 fatal crash events resulted in 98 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-11-01 to 2023-11-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-11-01 to 2023-11-30 · Most severe injury per crash record
Road & Environmental Conditions
Crash conditions in November 2023 were markedly different from the prior year, primarily due to weather. Crashes in snowy conditions fell by over 57%, from 1,531 to 657 incidents. Consequently, the share of collisions on dry road surfaces increased from 76.0% to 81.5% of the total. The distribution of crashes by lighting conditions, however, remained nearly identical, with approximately half of all crashes in both periods occurring in daylight.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-11-01 to 2023-11-30 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-11-01 to 2023-11-30 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-11-01 to 2023-11-30 · Road surface condition field
Vehicles & Demographics
The types of vehicles involved in crashes and their manufacturers showed high stability year-over-year. The top three vehicle types remained Passenger Cars, Sport Utility Vehicles, and Pickups, with each category seeing a slight decline in numbers. The top five vehicle makes—Chevrolet, Ford, Honda, Toyota, and Dodge—also maintained their rankings from the prior year. Furthermore, the age distribution of persons involved in crashes was consistent, with the 26-34 age group comprising the largest share in both November 2023 (15.5%) and November 2022 (15.5%).
Top Vehicle Makes (40,886 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-11-01 to 2023-11-30 · Vehicle unit records
3,484 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (49,106 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-11-01 to 2023-11-30 · 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: 2023-11-01 through 2023-11-30
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2023-11-01 through 2023-11-30 (30 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 23,859
- Total persons involved: 51,735
- Total vehicles involved: 40,886
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 2023." Published July 5, 2026. Reporting period: 2023-11-01 to 2023-11-30. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/november-2023-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: 2023-11-01 – 2023-11-30
Generated: July 5, 2026 · All rights reserved