ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · FEBRUARY 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/february-2023-report
Monthly Traffic Safety Analysis
219 CRASHES IN
OHIO, OH
FEBRUARY 2023
In February 2023, Allen County recorded 219 traffic crashes, a 9.1% decrease from the 241 crashes documented in February 2022. While total crashes declined and the number of injuries remained stable with 72 compared to 70, the most significant year-over-year change was the occurrence of two fatal crashes resulting in two deaths, whereas none were recorded in the same period last year.
219
▼ -9.1%was 241
Total Crash Events
2
Persons Killed
72
▲ 2.9%was 70
Persons Injured
41
▼ -30.5%was 59
Hit-and-Run Crashes
Note: "Persons Killed" (2) counts individual fatalities across all crash events. "Fatal" in the severity table below (2) 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 · 2023-02-01 to 2023-02-28 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall traffic crashes in Allen County saw a downward trend, decreasing by 9.1% from 241 in February 2022 to 219 in February 2023. Despite this reduction in total collisions, the number of people injured remained nearly the same, with 72 injuries in the current period compared to 70 in the prior year. However, the severity of crashes increased, with two fatalities recorded in February 2023 compared to zero in the previous year.
41
Hit-and-Run Crashes — February 2023
▼ -30.5% vs prior (59)
Hit-and-run incidents decreased in both absolute numbers and as a percentage of total crashes. In February 2023, there were 41 hit-and-run crashes, down from 59 in February 2022. This represents a downward trend in the hit-and-run rate, which fell from 24.5% of all crashes in the prior year to 18.7% in the current period.
Vulnerable Road User Casualties
0
Pedestrians Killed
2
Motorists Killed
1
Pedestrians Injured
71
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-02-01 to 2023-02-28 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes shifted year-over-year. In February 2023, the highest number of crashes occurred on Monday with 35 incidents, and the peak hour was 7 p.m. with 19 crashes. This contrasts with February 2022, when Friday was the busiest day with 47 crashes and the peak hour was earlier in the afternoon at 2 p.m. with 20 crashes.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-02-01 to 2023-02-28 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-02-01 to 2023-02-28 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
While the overall number of crashes decreased, crash severity worsened in February 2023 with the recording of two fatal collisions, compared to none in the prior year, resulting in a fatal crash rate of 0.9%. Conversely, the number of crashes involving serious injuries decreased from four in February 2022 to just one in the current period. The proportion of crashes resulting in any level of injury remained stable at approximately 22% for both periods.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-02-01 to 2023-02-28 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-02-01 to 2023-02-28 · Most severe injury per crash record
Road & Environmental Conditions
Crash conditions in February 2023 were markedly different from the previous year, primarily due to weather. The proportion of crashes occurring in clear weather increased to 72.6% from 50.2% in 2022, and 83.1% of crashes occurred on dry roads, compared to 53.1% a year prior. Correspondingly, crashes on roads with snow or ice dropped from a combined 58 incidents in February 2022 to only a few in 2023. Lighting conditions remained proportionally consistent between the two periods.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-02-01 to 2023-02-28 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-02-01 to 2023-02-28 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-02-01 to 2023-02-28 · Road surface condition field
Vehicles & Demographics
The makes of vehicles involved in crashes remained consistent year-over-year, with Ford (81 vehicles) and Chevrolet (61 vehicles) continuing to be the two most frequently involved makes in February 2023. An analysis of the age of persons involved shows a notable increase in the proportion of individuals aged 16-20, who accounted for 17.2% of all persons in crashes, up from 14.8% in February 2022. The 65+ age group also saw a proportional increase in involvement, rising from 8.1% to 10.2% of all persons involved.
Top Vehicle Makes (371 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-02-01 to 2023-02-28 · Vehicle unit records
37 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (441 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-02-01 to 2023-02-28 · 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: 2023-02-01 through 2023-02-28
- Report generated: July 6, 2026
Data Coverage
- Reporting period: 2023-02-01 through 2023-02-28 (28 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 219
- Total persons involved: 471
- Total vehicles involved: 371
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: February 2023." Published July 6, 2026. Reporting period: 2023-02-01 to 2023-02-28. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/february-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: 2023-02-01 – 2023-02-28
Generated: July 6, 2026 · All rights reserved