ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · OHIO, OH · FEBRUARY 2021
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
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GET: https://thatcarhitme.com/api/crash-data/reports/data/ohio/statewide/february-2021-report
Monthly Traffic Safety Analysis
258 CRASHES IN
OHIO, OH
FEBRUARY 2021
In February 2021, Allen County recorded 258 total traffic crashes, which resulted in zero fatalities and 80 injuries. A significant portion of these incidents, 97 crashes or 37.6%, were single-vehicle events not involving a collision with another vehicle in transport. The remaining crashes primarily consisted of angle (29.1%) and rear-end (16.3%) collisions.
258
Total Crash Events
0
Persons Killed
80
Persons Injured
15.1%
Hit-and-Run Rate
Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (0) 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 · 2021-02-01 to 2021-02-28 · Aggregate counts from crash, person, and vehicle records
39
Hit-and-Run Crashes — February 2021
Based on the initial determination of responding officers, 39 crashes in February 2021 were classified as hit-and-run incidents. These events accounted for 15.1% of all crashes recorded in Allen County during the period. A total of 9 vehicles involved in these crashes were recorded as 'Unknown or Hit/Skip'.
Vulnerable Road User Casualties
During this period, there were no traffic-related fatalities in Allen County. A total of 80 individuals sustained injuries, with motorists accounting for 79 of these cases. One pedestrian was also injured in a crash. No cyclists were reported as killed or injured in February 2021.
0
Pedestrians Killed
0
Motorists Killed
1
Pedestrians Injured
79
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-02-01 to 2021-02-28 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
Crash patterns in Allen County during February 2021 showed a clear concentration during weekday afternoon commute hours. The most frequent time for crashes was the 3 p.m. hour, with 26 incidents. Thursdays and Fridays were the most common days for crashes, each recording 46 events. Overall, crashes peaked between 3 p.m. and 7 p.m., and a majority of incidents (158 out of 258) occurred during daylight hours.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-02-01 to 2021-02-28 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-02-01 to 2021-02-28 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The vast majority of crashes in February 2021 resulted in no injuries, with 204 out of 258 incidents (79.1%) classified as property-damage-only. The remaining 54 crashes involved injuries, including one serious injury, 27 minor injuries, and 26 possible injuries. There were no fatal crashes recorded in Allen County during this period.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-02-01 to 2021-02-28 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-02-01 to 2021-02-28 · Most severe injury per crash record
Road & Environmental Conditions
While a plurality of crashes occurred in clear weather (128 incidents) and on dry roads (122 incidents), adverse conditions were a significant factor in February 2021. Over half of all crashes (133 out of 258) happened on roads affected by snow, ice, slush, or water. Snow was the most prevalent adverse road condition, present in 71 crashes, followed by wet surfaces in 45 crashes. A majority of incidents, 158 crashes, occurred during daylight hours.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-02-01 to 2021-02-28 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-02-01 to 2021-02-28 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-02-01 to 2021-02-28 · Road surface condition field
Vehicles & Demographics
Analysis of the 569 individuals involved in crashes shows the 26-34 age group was the most represented, with 98 people, followed by the 16-20 age group with 77 people. Among the 448 vehicles involved, Ford was the most frequent make, appearing in 81 instances. Chevrolet (66 vehicles) and Honda (41 vehicles) were the next most common makes recorded in crash reports.
Top Vehicle Makes (448 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-02-01 to 2021-02-28 · Vehicle unit records
33 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (539 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-02-01 to 2021-02-28 · Person-level records linked to crash events
Crash Location (First Harmful Event)
The first harmful event in most crashes (201 out of 258) occurred on the roadway itself. However, a notable portion of incidents were run-off-road events, with 40 crashes originating off the primary travel lanes. These included 29 crashes on the roadside, 7 on the shoulder, and 4 in the median.
Crash Location (First Harmful Event)
"Other" combines 2 smaller categories (3 records): On Gore (2), Railway grade crossing (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-02-01 to 2021-02-28 · Crash-level records
Traffic Control Device
Analysis of traffic controls present for the 448 vehicles involved in crashes shows that the majority, 321 vehicles (71.7%), were at locations with no traffic control devices. Signalized intersections were the location for 80 vehicles involved in crashes, while 42 vehicles were at locations with a stop sign.
Traffic Control Device
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-02-01 to 2021-02-28 · Vehicle unit records
Driver Contributing Factor
Among drivers for whom a contributing factor was cited, 'Failure to Yield' was the most common improper action, attributed to 49 drivers. This was followed closely by 'Following too Close / ACDA' with 46 citations. Other significant factors included 'Drove off Road' (30 drivers) and 'Unsafe Speed' (22 drivers).
Driver Contributing Factor
Showing top 9 of 20 reported. 11 additional (32 total) not shown: Ran Stop Sign, Left of Center, Improper Turn, Swerving to Avoid, Improper Passing, Wrong Way, Load shifting/Falling/Spilling, Operating Defective Equipment, Stopped or Parked Illegally, Vision Obstruction, Improper Crossing.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-02-01 to 2021-02-28 · Vehicle unit records
Commercial / Truck Involvement
A total of 20 commercial trucks were involved in crashes during this period. Of these, 16 were identified as semi-tractor-trailers, and 4 were classified as other types of commercial vehicles. These heavy vehicles represent a category with potential for high-severity outcomes.
Animal-Involved Crashes
Crashes involving animals accounted for 13 incidents in February 2021, representing 5.0% of all crashes. The majority of these, 10 crashes, were strikes with deer. An additional 3 crashes involved other unspecified types of animals.
Impairment (Alcohol / Drugs)
Impairment was a factor in 15 crashes, accounting for 5.8% of all incidents in Allen County. Among these, alcohol was the sole impairing substance in 11 cases. An additional 2 cases involved a combination of alcohol and drugs, and 2 cases involved drugs alone.
Driver Condition
Beyond 'Apparently Normal,' several adverse driver conditions were noted among the 421 drivers involved in crashes. Thirteen drivers were recorded as being under the influence of medications, drugs, or alcohol. Additionally, 2 drivers had a physical impairment, 2 were noted as emotional, one was ill, and one reportedly fell asleep or was fatigued.
Driver Condition
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-02-01 to 2021-02-28 · Person-level records linked to crash events
Driver Distraction
While most drivers were listed as 'Not Distracted,' a total of 22 drivers were noted as having a specific distraction. These included 8 drivers distracted by something inside the vehicle and 8 by something outside. Four drivers were distracted by an electronic device, including one who was manually operating it, and 2 drivers were distracted by a passenger.
Driver Distraction
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-02-01 to 2021-02-28 · Person-level records linked to crash events
Road Alignment
The majority of crashes (226 incidents) occurred on straight and level road segments. However, roadway geometry played a role in some crashes, with 19 incidents (7.4%) taking place on curves. An additional 18 crashes (7.0%) occurred on graded sections of road, either straight or curved.
Road Alignment
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-02-01 to 2021-02-28 · Crash-level records
Top Cities
The geographic distribution of crashes across Allen County was concentrated in a few key areas. The City of Lima accounted for the largest share, with 102 crashes, representing 39.5% of the county's total. American township saw the second-highest volume with 33 crashes (12.8%), followed by Shawnee township with 29 crashes (11.2%).
Top Cities
Showing top 9 of 16 reported. 7 additional (24 total) not shown: Amanda, Bluffton, Auglaize, Monroe, Elida, Jackson, Beaverdam.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-02-01 to 2021-02-28 · Crash-level records
Pre-Crash Driver Action
Analysis of vehicle actions prior to collision shows that a majority of vehicles, 262 out of 448 (58.5%), were proceeding straight ahead. The next most common pre-crash actions were 'Slowing or Stopped In Traffic,' involving 46 vehicles, and 'Making Left Turn,' involving 36 vehicles.
Pre-Crash Driver Action
Showing top 9 of 14 reported. 5 additional (15 total) not shown: Other/Unknown, Overtaking/Passing, Walking; Running; Jogging; Playing, Leaving Traffic Lane, Making U-Turn.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-02-01 to 2021-02-28 · Vehicle unit records
Manner of Collision
The most frequent type of crash was a single-vehicle incident, categorized as 'Not Collision Between Two Vehicles in Transport,' which accounted for 97 of the 258 total crashes (37.6%). Among multi-vehicle collisions, angle crashes were the most common, with 75 incidents (29.1%), followed by rear-end collisions with 42 incidents (16.3%).
Manner of Collision
"Other" combines 1 smaller categories (2 records): Head-on (2).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-02-01 to 2021-02-28 · Crash-level records
Vehicle Type
Passenger cars were the most common vehicle type involved in crashes, accounting for 237 of the 448 vehicles (52.9%). Sport Utility Vehicles (92 vehicles) and Pick up trucks (54 vehicles) were also frequently involved. Commercial vehicles, including 18 semi-tractors and 7 single-unit trucks, were present in these incidents.
Vehicle Type
"Other" combines 5 smaller categories (12 records): Cargo Van (5), Other Vehicle (3), Bus (16+ Passengers) (2), Pedestrian/Skater (1), Van (9-15 Seats) (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-02-01 to 2021-02-28 · Vehicle unit records
Person Type
Of the 569 people involved in crashes, the majority were drivers, accounting for 421 individuals (74.0%). Vehicle occupants (passengers) made up the next largest group, with 147 individuals (25.8%). One pedestrian was also involved in a crash during this period.
Person Type
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-02-01 to 2021-02-28 · Crash-level records
Person Injury Severity
Across all 569 individuals involved in crashes, 80 people sustained some level of injury, representing 14.1% of all participants. This included one serious injury, 38 minor injuries, and 41 possible injuries. The remaining 484 individuals were not injured.
Person Injury Severity
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-02-01 to 2021-02-28 · Crash-level records
Occupant Safety Equipment
The vast majority of vehicle occupants, 479 individuals, were reported as using both a shoulder and lap belt. However, 25 individuals were recorded as using no safety equipment at all. An additional 19 occupants were secured in child restraint systems or booster seats.
Occupant Safety Equipment
"Other" combines 1 smaller categories (2 records): Lap Belt Only Used (2).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-02-01 to 2021-02-28 · Person-level records linked to crash events
Vehicles Per Crash
Two-vehicle collisions were the most common crash configuration, accounting for 178 of the 258 total incidents (69.0%). Single-vehicle crashes were the next most frequent type, with 74 incidents (28.7%). Additionally, there were 6 crashes that involved three vehicles.
Vehicles Per Crash
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-02-01 to 2021-02-28 · Crash-level records
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: 2021-02-01 through 2021-02-28
- Report generated: July 6, 2026
Data Coverage
- Reporting period: 2021-02-01 through 2021-02-28 (28 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 258
- Total persons involved: 569
- Total vehicles involved: 448
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 2021." Published July 6, 2026. Reporting period: 2021-02-01 to 2021-02-28. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/february-2021-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: 2021-02-01 – 2021-02-28
Generated: July 6, 2026 · All rights reserved