ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · NOVEMBER 2022
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-2022-report
Monthly Traffic Safety Analysis
24,939 CRASHES IN
OHIO, OH
NOVEMBER 2022
In November 2022, there were 24,939 total crashes statewide, a 2.9% decrease from the 25,672 crashes recorded in November 2021. While overall crashes, fatalities (117 vs. 124), and injuries (8,002 vs. 8,200) saw a slight decline, motorcycle-involved crashes increased by 77.6% year-over-year, rising from 98 to 174 incidents.
24,939
▼ -2.9%was 25,672
Total Crash Events
117
▼ -5.6%was 124
Persons Killed
8,002
▼ -2.4%was 8,200
Persons Injured
3,713
▼ -9.1%was 4,086
Hit-and-Run Crashes
Note: "Persons Killed" (117) counts individual fatalities across all crash events. "Fatal" in the severity table below (108) 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 · 2022-11-01 to 2022-11-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Statewide traffic crash data indicates a downward trend in November 2022 compared to the same month in the prior year. Total crashes decreased by 2.9%, from 25,672 to 24,939. This trend was consistent across key metrics, with total fatalities falling by 5.6% (from 124 to 117) and total injuries declining by 2.4% (from 8,200 to 8,002).
3,713
Hit-and-Run Crashes — November 2022
▼ -9.1% vs prior (4,086)
Hit-and-run incidents showed a downward trend in November 2022 compared to the previous year. The total number of hit-and-run crashes decreased from 4,086 to 3,713. The hit-and-run rate, which represents the proportion of all crashes that were hit-and-runs, also declined, falling from 15.9% in November 2021 to 14.9% in November 2022.
Vulnerable Road User Casualties
18
Pedestrians Killed
99
Motorists Killed
244
Pedestrians Injured
7,758
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-11-01 to 2022-11-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes showed a shift between November 2021 and November 2022. The peak day for collisions moved from Monday (4,577 crashes) in the prior year to Wednesday (4,383 crashes) in the current period. Similarly, the peak hour for crashes shifted from 5 p.m. in 2021 (2,303 crashes) to 6 p.m. in 2022 (2,081 crashes), indicating a change in the busiest time on the roads.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-11-01 to 2022-11-30 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-11-01 to 2022-11-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
While total crashes decreased, the severity distribution showed a slight shift towards more injurious outcomes. The fatal crash rate per 100 crashes increased marginally from 0.42% in November 2021 to 0.43% in November 2022. The proportion of serious injury crashes rose from 1.9% to 2.1% of all incidents, and minor injury crashes increased from 10.9% to 11.3%. Correspondingly, the share of crashes resulting in no injuries decreased slightly from 77.1% to 76.9%.
Severity is per crash event (most severe injury). 108 fatal crash events resulted in 117 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-11-01 to 2022-11-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-11-01 to 2022-11-30 · Most severe injury per crash record
Road & Environmental Conditions
The environmental conditions under which crashes occurred were largely consistent between November 2021 and November 2022. In both periods, the vast majority of incidents happened in clear weather and on dry roads. The proportion of crashes on dry surfaces decreased slightly from 78.8% to 76.0% year-over-year. Similarly, crashes in clear weather conditions accounted for 59.7% of the total in the current period, down from 62.1% in the prior year, while crashes in daylight conditions saw a small proportional increase from 48.9% to 50.2%.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-11-01 to 2022-11-30 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-11-01 to 2022-11-30 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-11-01 to 2022-11-30 · Road surface condition field
Vehicles & Demographics
The composition of vehicles and persons involved in crashes remained stable year-over-year. Chevrolet (6,327 vehicles), Ford (6,025), and Honda (3,875) were the top three vehicle makes involved in crashes in November 2022, the same as the prior year, with minor fluctuations in counts. The distribution of involved persons by age group also showed little change, with the 26-34 age bracket representing the largest cohort in both periods. The top vehicle types involved were consistently Passenger Cars, Sport Utility Vehicles, and Pick-ups.
Top Vehicle Makes (42,794 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-11-01 to 2022-11-30 · Vehicle unit records
3,594 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (50,926 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-11-01 to 2022-11-30 · 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: 2022-11-01 through 2022-11-30
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2022-11-01 through 2022-11-30 (30 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 24,939
- Total persons involved: 53,661
- Total vehicles involved: 42,794
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 2022." Published July 5, 2026. Reporting period: 2022-11-01 to 2022-11-30. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/november-2022-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: 2022-11-01 – 2022-11-30
Generated: July 5, 2026 · All rights reserved