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
286 CRASHES IN
OHIO, OH
NOVEMBER 2023
In November 2023, Allen County recorded 286 total crashes, a decrease from 312 crashes in November 2022, representing an 8.3% year-over-year decline. Despite the overall drop in collisions, the most notable shift was the occurrence of one fatal crash, whereas none were recorded in the same period last year. Total injuries also saw a decrease from 103 to 94.
286
▼ -8.3%was 312
Total Crash Events
1
Persons Killed
94
▼ -8.7%was 103
Persons Injured
35
▼ -32.7%was 52
Hit-and-Run Crashes
Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) 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
The overall trend in traffic collisions in Allen County shows a decrease in November 2023 compared to the previous year. Total crashes fell by 8.3%, from 312 to 286, and total injuries declined by 8.7%, from 103 to 94. However, this downward trend in crash volume was contrasted by the registration of one fatality, where none occurred in the prior period.
35
Hit-and-Run Crashes — November 2023
▼ -32.7% vs prior (52)
Incidents of hit-and-run crashes saw a notable decrease in November 2023 compared to the same month in 2022. The total number of hit-and-run crashes fell from 52 to 35. This represents a downward trend in the hit-and-run rate, which dropped from 16.7% of all crashes in the prior period to 12.2% in the current period.
Vulnerable Road User Casualties
1
Motorists Killed
94
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 showed some shifts between the two periods. The peak day for crashes moved from Wednesday (61 crashes) in November 2022 to Thursday (52 crashes) in November 2023. The peak hour for collisions remained consistent at 6 p.m. in both years, though the number of crashes during this hour decreased from 34 to 29.
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
Crash severity analysis reveals a mixed picture year-over-year. While November 2022 had no fatal crashes, November 2023 recorded one fatal incident. Conversely, the number of serious injury crashes decreased from 8 to 5. The proportion of crashes resulting in no injury increased slightly, from 76.0% in the prior period to 77.6% in the current period.
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
Environmental conditions varied notably between the two periods, primarily concerning weather. In November 2023, no crashes were reported during snow conditions, compared to 28 such incidents in November 2022. Crashes in clear weather were more frequent in the current period (227 vs. 208), while collisions on wet roads decreased from 43 to 35. The distribution of crashes by lighting conditions remained relatively stable, with daylight crashes being the most common in both years.
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
An analysis of vehicles and persons involved shows shifts in age demographics. The number of persons aged 16-20 involved in crashes decreased significantly from 132 to 83, while involvement for the 65+ age group increased from 65 to 81. The top vehicle makes involved in crashes remained consistent, with Ford (93 vehicles) and Chevrolet (84 vehicles) leading in November 2023, similar to the prior year.
Top Vehicle Makes (463 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-11-01 to 2023-11-30 · Vehicle unit records
27 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (588 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 6, 2026
Data Coverage
- Reporting period: 2023-11-01 through 2023-11-30 (30 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 286
- Total persons involved: 612
- Total vehicles involved: 463
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 6, 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 6, 2026 · All rights reserved