ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · FEBRUARY 2024
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-2024-report
Monthly Traffic Safety Analysis
18,805 CRASHES IN
OHIO, OH
FEBRUARY 2024
In February 2024, Ohio recorded 18,805 total traffic crashes, a 7.6% increase from the 17,472 crashes reported in February 2023. While total crashes and injuries rose, total fatalities decreased slightly from 77 to 73 year-over-year. One of the most notable changes was a decrease in the hit-and-run rate, which fell from 19.4% of all crashes in the prior period to 16.8% in the current period.
18,805
▲ 7.6%was 17,472
Total Crash Events
73
▼ -5.2%was 77
Persons Killed
6,362
▲ 4.1%was 6,110
Persons Injured
3,158
▼ -6.9%was 3,393
Hit-and-Run Crashes
Note: "Persons Killed" (73) counts individual fatalities across all crash events. "Fatal" in the severity table below (72) 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 · 2024-02-01 to 2024-02-29 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Comparing February 2024 to the same month in 2023, the overall volume of traffic crashes in Ohio increased by 7.6%, rising from 17,472 to 18,805. This upward trend was also reflected in total injuries, which grew by 4.1% to 6,362. However, the number of fatalities saw a modest decline, dropping 5.2% from 77 to 73.
3,158
Hit-and-Run Crashes — February 2024
▼ -6.9% vs prior (3,393)
Hit-and-run incidents showed a downward trend in February 2024 compared to the previous year. The total number of hit-and-run crashes decreased from 3,393 to 3,158. Correspondingly, the hit-and-run rate, which measures the proportion of all crashes that are hit-and-runs, fell from 19.4% in February 2023 to 16.8% in February 2024.
Vulnerable Road User Casualties
5
Pedestrians Killed
68
Motorists Killed
157
Pedestrians Injured
6,205
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-02-01 to 2024-02-29 · 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 a notable shift between February 2023 and February 2024. The day with the highest number of crashes moved from Thursday (2,826 crashes) in the prior year to Friday (3,801 crashes) in the current period. Similarly, the peak hour for crashes shifted from the 3 p.m. hour in 2023 to the 4 p.m. hour in 2024, aligning with the evening commute.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-02-01 to 2024-02-29 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-02-01 to 2024-02-29 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity of crashes remained relatively consistent year-over-year, with a slight decrease in the fatal crash rate from 0.41% in February 2023 to 0.38% in February 2024. The proportion of crashes resulting in a serious injury was unchanged at 2.1% for both periods. There was a minor shift within other injury categories, with the share of minor injury crashes increasing from 11.9% to 12.2% and possible injury crashes decreasing from 10.2% to 9.5%.
Severity is per crash event (most severe injury). 72 fatal crash events resulted in 73 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-02-01 to 2024-02-29 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-02-01 to 2024-02-29 · Most severe injury per crash record
Road & Environmental Conditions
The most significant shift in crash conditions year-over-year was related to weather and road surface. In February 2024, a substantially higher number of crashes occurred in snow (2,127 crashes) and on snowy roads (1,793 crashes) compared to February 2023 (319 and 206, respectively). Conversely, crashes in rainy weather and on wet roads were less frequent in the current period. The proportion of crashes occurring in daylight versus darkness remained largely unchanged.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-02-01 to 2024-02-29 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-02-01 to 2024-02-29 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-02-01 to 2024-02-29 · Road surface condition field
Vehicles & Demographics
The types of vehicles involved in crashes remained consistent, with Passenger Cars and Sport Utility Vehicles being the most common in both periods. The ranking of the top four most frequently involved vehicle makes—Chevrolet, Ford, Honda, and Toyota—was unchanged, though all saw an increase in crash counts in February 2024. The age demographics of persons involved in crashes also showed stability, with no significant shifts in the proportional representation of any age group compared to the prior year.
Top Vehicle Makes (33,415 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-02-01 to 2024-02-29 · Vehicle unit records
2,879 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (39,725 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-02-01 to 2024-02-29 · 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: 2024-02-01 through 2024-02-29
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2024-02-01 through 2024-02-29 (29 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 18,805
- Total persons involved: 42,010
- Total vehicles involved: 33,415
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 2024." Published July 5, 2026. Reporting period: 2024-02-01 to 2024-02-29. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/february-2024-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: 2024-02-01 – 2024-02-29
Generated: July 5, 2026 · All rights reserved