ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · DECEMBER 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/december-2023-report
Monthly Traffic Safety Analysis
277 CRASHES IN
OHIO, OH
DECEMBER 2023
In December 2023, Allen County recorded 277 total traffic crashes, a 9.2% decrease from the 305 crashes reported in December 2022. While fatalities remained unchanged at one for both periods, the most notable year-over-year shift was a 19.1% reduction in total injuries, which fell from 94 to 76.
277
▼ -9.2%was 305
Total Crash Events
1
Persons Killed
76
▼ -19.1%was 94
Persons Injured
30
▼ -37.5%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 · 2023-12-01 to 2023-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall traffic safety trends in Allen County improved year-over-year. Total crashes declined by 9.2%, from 305 in December 2022 to 277 in December 2023. This was accompanied by a 19.1% decrease in injuries, from 94 to 76, while fatalities held steady with one death recorded in each period.
30
Hit-and-Run Crashes — December 2023
▼ -37.5% vs prior (48)
Hit-and-run incidents showed a significant downward trend. The number of hit-and-run crashes fell from 48 in December 2022 to 30 in December 2023. The hit-and-run rate, as a percentage of all crashes, also decreased from 15.7% to 10.8% year-over-year.
Vulnerable Road User Casualties
0
Pedestrians Killed
1
Motorists Killed
2
Pedestrians Injured
74
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-12-01 to 2023-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The timing of crashes shifted between the two periods. In December 2023, the peak day for crashes was Friday with 51 incidents, and the peak hour was 6 p.m. with 35 incidents. This contrasts with December 2022, when the peak day was Thursday with 62 crashes and the peak hour was 5 p.m. with 29 crashes, indicating a later peak time in the current period.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-12-01 to 2023-12-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-12-01 to 2023-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Crash severity saw a general improvement year-over-year. While both December 2023 and December 2022 recorded one fatal crash, the total number of injuries decreased from 94 to 76. The number of crashes resulting in serious injuries fell from 5 to 4, and minor injury crashes decreased from 22 to 18. Consequently, crashes resulting in no injury comprised a slightly larger share of the total, rising from 78.4% to 79.4%.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-12-01 to 2023-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-12-01 to 2023-12-31 · Most severe injury per crash record
Road & Environmental Conditions
There was a notable shift in the conditions under which crashes occurred. The proportion of crashes on wet road surfaces increased from 21.6% in December 2022 to 33.9% in December 2023. Similarly, crashes during rain represented 16.2% of the total in the current period, up from 6.2% the prior year. The share of crashes happening in daylight remained stable at around 44%, but incidents on unlit dark roads increased from 25.6% to 32.1% of all crashes.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-12-01 to 2023-12-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-12-01 to 2023-12-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-12-01 to 2023-12-31 · Road surface condition field
Vehicles & Demographics
The makes of vehicles involved in crashes remained broadly consistent, with Ford (90), Chevrolet (64), and Honda (45) being the most common in December 2023, compared to Chevrolet (86), Ford (86), and Honda (44) in the prior year. An analysis of person demographics shows a decrease in the number of people aged 65 and older involved in crashes (from 98 to 72), while the 16-20 age group saw an increase in involvement (from 98 to 108).
Top Vehicle Makes (458 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-12-01 to 2023-12-31 · Vehicle unit records
28 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (608 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-12-01 to 2023-12-31 · 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: 2023-12-01 through 2023-12-31
- Report generated: July 6, 2026
Data Coverage
- Reporting period: 2023-12-01 through 2023-12-31 (31 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 277
- Total persons involved: 626
- Total vehicles involved: 458
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: December 2023." Published July 6, 2026. Reporting period: 2023-12-01 to 2023-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/december-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: 2023-12-01 – 2023-12-31
Generated: July 6, 2026 · All rights reserved