ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · OCTOBER 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/october-2023-report
Monthly Traffic Safety Analysis
296 CRASHES IN
OHIO, OH
OCTOBER 2023
In October 2023, Allen County recorded 296 total crashes, a slight decrease from 302 in October 2022. This period saw fatalities drop from two to one. Notably, while total crashes and hit-and-runs declined, crashes attributed to speeding increased from 27 to 38 year-over-year.
296
▼ -2.0%was 302
Total Crash Events
1
▼ -50.0%was 2
Persons Killed
94
▲ 2.2%was 92
Persons Injured
37
▼ -22.9%was 48
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 · 2023-10-01 to 2023-10-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall traffic crashes in Allen County showed a slight decline in October 2023 compared to the previous year, falling by 2% from 302 to 296 incidents. Fatalities were halved from two to one. The number of injuries remained stable, with 94 recorded in the current period versus 92 in the prior year.
37
Hit-and-Run Crashes — October 2023
▼ -22.9% vs prior (48)
Hit-and-run incidents decreased in October 2023 compared to the same month in the previous year. The total number of hit-and-run crashes fell from 48 to 37. This corresponds to a drop in the hit-and-run rate from 15.9% of all crashes in October 2022 to 12.5% in October 2023.
Vulnerable Road User Casualties
1
Motorists Killed
94
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-10-01 to 2023-10-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The daily pattern of crashes shifted year-over-year, with the peak day for incidents moving from Saturday (52 crashes) in October 2022 to Monday (52 crashes) in October 2023. The peak hour for collisions also shifted slightly earlier, from 5 p.m. in the prior period (27 crashes) to 4 p.m. in the current period (23 crashes).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-10-01 to 2023-10-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-10-01 to 2023-10-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity of crashes saw a slight decrease in October 2023. Fatal crashes dropped from two to one, and the proportion of crashes resulting in any injury fell from 22.8% to 20.6% year-over-year. The number of serious injury crashes remained unchanged at six for both periods.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-10-01 to 2023-10-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-10-01 to 2023-10-31 · Most severe injury per crash record
Road & Environmental Conditions
There was a significant increase in crashes occurring during adverse weather in October 2023 compared to the prior year. Crashes in rainy conditions more than doubled from 21 to 47, and incidents on wet road surfaces increased from 29 to 70. Conversely, crashes on unlit dark roadways decreased from 98 to 75.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-10-01 to 2023-10-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-10-01 to 2023-10-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-10-01 to 2023-10-31 · Road surface condition field
Vehicles & Demographics
Ford (98 vehicles) and Chevrolet (78 vehicles) remained the top two makes involved in crashes, both increasing from the prior year's counts of 91 and 62, respectively. A notable demographic shift occurred in the age of persons involved in crashes, with the 16-20 age group increasing from 75 individuals in October 2022 to 99 in October 2023. Meanwhile, involvement for the 26-34 age group decreased from 102 to 80.
Top Vehicle Makes (496 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-10-01 to 2023-10-31 · Vehicle unit records
33 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (610 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-10-01 to 2023-10-31 · 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: 2023-10-01 through 2023-10-31
- Report generated: July 6, 2026
Data Coverage
- Reporting period: 2023-10-01 through 2023-10-31 (31 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 296
- Total persons involved: 636
- Total vehicles involved: 496
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 2023." Published July 6, 2026. Reporting period: 2023-10-01 to 2023-10-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/october-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: 2023-10-01 – 2023-10-31
Generated: July 6, 2026 · All rights reserved