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
17,472 CRASHES IN
OHIO, OH
FEBRUARY 2023
In February 2023, Ohio recorded 17,472 traffic crashes, a 16.9% decrease from the 21,035 crashes documented in February 2022. Despite this significant reduction in overall incidents, the number of fatalities resulting from these crashes increased from 63 to 77 year-over-year.
17,472
▼ -16.9%was 21,035
Total Crash Events
77
▲ 22.2%was 63
Persons Killed
6,110
▼ -7.0%was 6,567
Persons Injured
3,393
▼ -10.2%was 3,778
Hit-and-Run Crashes
Note: "Persons Killed" (77) counts individual fatalities across all crash events. "Fatal" in the severity table below (71) 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
The overall trend in traffic incidents shows a notable year-over-year decline. Total crashes in Ohio fell by 16.9%, from 21,035 in February 2022 to 17,472 in February 2023. While total injuries also decreased by 7.0% from 6,567 to 6,110, the number of fatalities rose by 22.2% during the same period.
3,393
Hit-and-Run Crashes — February 2023
▼ -10.2% vs prior (3,778)
While the absolute number of hit-and-run crashes decreased from 3,778 to 3,393, their prevalence as a proportion of all crashes increased. The hit-and-run rate rose from 18.0% in February 2022 to 19.4% in February 2023. This suggests that a greater percentage of crashes in the current period involved a driver leaving the scene.
Vulnerable Road User Casualties
16
Pedestrians Killed
61
Motorists Killed
180
Pedestrians Injured
5,930
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
Temporal crash patterns remained consistent between the two periods. The peak day for crashes was Thursday in both February 2022 (3,479 crashes) and February 2023 (2,826 crashes). The afternoon commute hour of 3 PM was also the peak hour in both years, indicating no significant shift in the daily or weekly timing of collisions.
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 total crashes decreased, their average severity increased from the prior year. The fatal crash rate rose from 0.28% in February 2022 to 0.41% in February 2023. The proportion of crashes resulting in a serious injury also grew, moving from 1.7% to 2.1% of all incidents.
Severity is per crash event (most severe injury). 71 fatal crash events resulted in 77 persons killed.
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 were markedly different year-over-year, suggesting more favorable weather in the current period. In February 2023, 82.1% of crashes occurred on dry roads, compared to just 54.4% in February 2022. This corresponds with a decrease in crashes attributed to snow, which fell from 11.5% of all crashes in the prior period to 1.8% in the current period. The distribution of crashes by lighting conditions remained stable.
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 types of vehicles involved in collisions were consistent year-over-year, with Chevrolet, Ford, and Honda remaining the top three makes. An analysis of persons involved shows the 26-34 age group was the largest demographic in both periods. However, the proportion of individuals aged 65 and older involved in crashes increased from 9.0% in February 2022 to 10.5% in February 2023.
Top Vehicle Makes (31,481 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-02-01 to 2023-02-28 · Vehicle unit records
3,132 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (36,534 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 5, 2026
Data Coverage
- Reporting period: 2023-02-01 through 2023-02-28 (28 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 17,472
- Total persons involved: 38,995
- Total vehicles involved: 31,481
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 5, 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 5, 2026 · All rights reserved