Monthly Traffic Safety Analysis

215 CRASHES IN
OHIO, OH
JULY 2021

In July 2021, Allen County recorded 215 traffic crashes, resulting in 0 fatalities and 84 injuries. Single-vehicle incidents, classified as 'Not Collision Between Two Vehicles in Transport', were the most frequent type of crash, accounting for 80 incidents or 37.2% of the total. The majority of crashes occurred in clear weather and during daylight hours.

215

Total Crash Events

0

Persons Killed

84

Persons Injured

19.1%

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 · 2021-07-01 to 2021-07-31 · Aggregate counts from crash, person, and vehicle records

41

Hit-and-Run Crashes — July 2021

A total of 41 crashes, representing 19.1% of all incidents in this period, were classified as hit-and-run events. This determination is based on the initial assessment by the responding law enforcement officer at the crash scene. These incidents involved a driver leaving the scene of a collision without providing required information.

Vulnerable Road User Casualties

During this period, a total of 84 individuals were injured in motor vehicle crashes, and there were no fatalities. Motorists comprised the vast majority of those injured, with 83 reported injuries. One pedestrian sustained an injury, while no bicyclists were reported as injured or killed.

0

Pedestrians Killed

0

Motorists Killed

1

Pedestrians Injured

83

Motorists Injured

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

Crash activity peaked on Tuesday, which saw 41 incidents, followed by Friday with 37. The most frequent time for crashes was the 3 p.m. hour, with 20 recorded incidents. Overall, the afternoon period from 12 p.m. to 5 p.m. accounted for 91 crashes, representing 42.3% of the total for the month.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Of the 215 crashes, 155 (72.1%) resulted in no injuries, being classified as property-damage-only incidents. The remaining 60 crashes involved injuries of varying severity, including 5 with serious injuries, 37 with minor injuries, and 18 with possible injuries. There were no fatal crashes recorded during this period.

Outcome by Severity (Crash Events)

Serious Injury5serious injury crashes2.3%
Minor Injury37minor injury crashes17.2%
Possible Injury18possible injury crashes8.4%
No Injury155no injury crashes72.1%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Most severe injury per crash record

Road & Environmental Conditions

The vast majority of crashes occurred in favorable conditions, with 86% on dry roads and 72.1% in clear weather. Daylight conditions were present for 148 of the 215 crashes (68.8%). Crashes in adverse conditions included 19 incidents during rain and 45 incidents during dark or dawn/dusk lighting conditions.

Weather

Clear155 (72.1%)
Cloudy36 (16.7%)
Rain19 (8.8%)
Other/Unknown4 (1.9%)
Fog; Smog; Smoke1 (0.5%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Weather condition at time of crash

Lighting

Daylight148 (68.8%)
Dark - Roadway Not Lighted23 (10.7%)
Dark - Lighted Roadway22 (10.2%)
Dawn/Dusk14 (6.5%)
Dark - Unknown Roadway Lighting4 (1.9%)
Other/Unknown4 (1.9%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Lighting condition field

Road Surface

Dry185 (86.0%)
Wet29 (13.5%)
Other/Unknown1 (0.5%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Road surface condition field

Vehicles & Demographics

Analysis of the 498 individuals involved in crashes shows the 26-34 age group was the most represented, with 69 people. The most common vehicle makes involved were Chevrolet (57 vehicles), Ford (54 vehicles), and Honda (28 vehicles). These top three makes accounted for over one-third of the 383 vehicles involved in collisions.

Top Vehicle Makes (383 vehicles)

1
CHEVROLET57 (14.9%)
2
FORD54 (14.1%)
3
HONDA28 (7.3%)
4
DODGE24 (6.3%)
5
CHRYSLER19 (5%)
6
BUICK17 (4.4%)
7
NISSAN17 (4.4%)
8
KIA15 (3.9%)
9
JEEP14 (3.7%)
10
HYUNDAI14 (3.7%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Vehicle unit records

32 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (470 persons with recorded sex)

Male250 (53.2%)
Female220 (46.8%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Person-level records linked to crash events

Crash Location (First Harmful Event)

The first harmful event for most crashes, 181 out of 215 (84.2%), occurred on the primary roadway. A notable portion of incidents were run-off-road events, with 26 crashes (12.1%) having their first harmful event on the roadside, shoulder, or in the median. An additional 6 crashes occurred outside the designated trafficway.

Crash Location (First Harmful Event)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Crash-level records

Traffic Control Device

Data on 382 vehicles involved in crashes shows that the majority of incidents occurred at locations without traffic controls, accounting for 251 vehicles. Crashes at intersections with traffic signals involved 81 vehicles. Locations with stop signs were the site of crashes for 34 vehicles.

Traffic Control Device

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Vehicle unit records

Driver Contributing Factor

Among driver actions cited as contributing factors, 'Following too Close / ACDA' was the most common, attributed to 45 drivers. 'Failure to Yield' was the second-most frequent factor, noted for 38 drivers. 'Drove off Road' was a factor for 21 drivers involved in crashes.

Driver Contributing Factor

1
Following too Close / ACDA45 (23.4%)
2
Failure to Yield38 (19.8%)
3
Other Improper Action23 (12%)
4
Drove off Road21 (10.9%)
5
Ran Red Light10 (5.2%)
6
Improper Turn8 (4.2%)
7
Improper Backing8 (4.2%)
8
Left of Center7 (3.6%)
9
Improper Lane Change7 (3.6%)

Showing top 9 of 18 reported. 9 additional (25 total) not shown: Improper Passing, Not Discernible, Ran Stop Sign, Unsafe Speed, Swerving to Avoid, Operating Defective Equipment, Improper Crossing, Improper Start From a Parked Position, Load shifting/Falling/Spilling.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Vehicle unit records

Commercial / Truck Involvement

Crashes involving commercial trucks accounted for 26 of the 215 total incidents (12.1%). Of these, 22 crashes involved a semi-tractor trailer, while the remaining 4 involved other types of commercial vehicles. These incidents represent a significant category due to the size and weight of the vehicles involved.

Animal-Involved Crashes

There were 17 crashes involving collisions with animals, representing 7.9% of all incidents. The majority of these, 15 crashes, were strikes involving deer. An additional 2 crashes involved other, unspecified types of animals.

Impairment (Alcohol / Drugs)

Impairment was a factor in 13 crashes, or 6% of the total for the month. Of these, alcohol was suspected in 8 incidents, drugs in 3 incidents, and a combination of alcohol and drugs in 2 incidents. These figures are based on the officer's assessment at the scene.

Driver Condition

Among 351 drivers involved in crashes, 16 were noted to have a driver condition other than 'Apparently Normal'. Nine drivers were reported as being under the influence of medications, drugs, or alcohol. An additional 5 drivers were reported as having fallen asleep, fainted, or being fatigued.

Driver Condition

1
Apparently Normal308 (89%)
2
Other/Unknown22 (6.4%)
3
Under the Influence of Medications / Drugs / Alcohol9 (2.6%)
4
Fell Asleep; Fainted; Fatigued; etc.5 (1.4%)
5
Physical Impairment2 (0.6%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Person-level records linked to crash events

Driver Distraction

Among 351 drivers, 17 were identified as being distracted by a specific factor. The most cited distraction was related to something outside the vehicle, noted for 8 drivers. Three drivers were manually operating an electronic communication device, and another 3 were distracted by something else inside their vehicle.

Driver Distraction

1
Not Distracted306 (89.2%)
2
Other/Unknown20 (5.8%)
3
Other distraction outside the vehicle8 (2.3%)
4
Other distraction inside the vehicle3 (0.9%)
5
Manually operating an electronic communication device (texting; typing; dialing)3 (0.9%)
6
Other activity with an electronic device2 (0.6%)
7
Passenger1 (0.3%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Person-level records linked to crash events

Road Alignment

The majority of crashes (182) occurred on straight and level sections of roadway. However, 21 crashes (9.8%) took place on a grade, either straight or curved. An additional 17 crashes (7.9%) occurred on curved road segments.

Road Alignment

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Crash-level records

Top Cities

The geographic distribution of crashes was concentrated in a few key areas, with the city of Lima accounting for 91 of the 215 total crashes (42.3%). The townships of American (20 crashes), Shawnee (19 crashes), and Bath (19 crashes) were the next most frequent locations. Together, the top five locations represented nearly 75% of all crashes in the county.

Top Cities

1
Lima91 (42.3%)
2
American20 (9.3%)
3
Shawnee19 (8.8%)
4
Bath19 (8.8%)
5
Richland12 (5.6%)
6
Marion11 (5.1%)
7
Monroe8 (3.7%)
8
Delphos8 (3.7%)
9
Perry7 (3.3%)

Showing top 9 of 14 reported. 5 additional (20 total) not shown: Bluffton, Sugar Creek, Auglaize, Jackson, Amanda.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Crash-level records

Pre-Crash Driver Action

Analysis of the actions of 383 vehicles prior to impact shows that 209 (54.6%) were moving straight ahead. The second most common pre-crash action was slowing or stopping in traffic, which was reported for 53 vehicles (13.8%). An additional 30 vehicles were parked when they were involved in a collision.

Pre-Crash Driver Action

1
Straight Ahead209 (54.6%)
2
Slowing or Stopped In Traffic53 (13.8%)
3
Parked30 (7.8%)
4
Making Left Turn26 (6.8%)
5
Backing14 (3.7%)
6
Making Right Turn13 (3.4%)
7
Negotiating a Curve12 (3.1%)
8
Other/Unknown10 (2.6%)
9
Changing Lanes7 (1.8%)

Showing top 9 of 13 reported. 4 additional (9 total) not shown: Overtaking/Passing, Entering Traffic Lane, Leaving Traffic Lane, Walking; Running; Jogging; Playing.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Vehicle unit records

Manner of Collision

Single-vehicle crashes, categorized as 'Not Collision Between Two Vehicles in Transport', were the most common incident type, accounting for 80 of the 215 crashes (37.2%). Among multi-vehicle crashes, angle collisions were most frequent (49 crashes, 22.8%), followed by rear-end collisions (41 crashes, 19.1%).

Manner of Collision

"Other" combines 2 smaller categories (4 records): Backing (3), Rear-to-rear (1).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Crash-level records

Vehicle Type

Passenger cars were the most common vehicle type involved in crashes, accounting for 190 of the 383 vehicles (49.6%). Sport Utility Vehicles (73 vehicles) and Pickups (45 vehicles) were the next most frequent types. Commercial vehicles, including semi-tractors and single-unit trucks, were involved in 28 incidents.

Vehicle Type

"Other" combines 11 smaller categories (21 records): Single Unit Truck (5), Van (9-15 Seats) (3), Cargo Van (3), Moped or Motorized Bicycle (2), Bicycle (2), Motorhome (1), Other Vehicle (1), Farm Equipment (1), Bus (16+ Passengers) (1), Heavy Equipment (1), Pedestrian/Skater (1).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Vehicle unit records

Person Type

A total of 498 people were involved in crashes during this period, with the majority being drivers (351 people, or 70.5%). Passengers accounted for 146 individuals (29.3%). One pedestrian was also involved in a crash.

Person Type

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Crash-level records

Person Injury Severity

Of the 498 individuals involved in crashes, 84 people sustained an injury, representing 16.9% of all participants. These injuries included 8 serious injuries, 46 minor injuries, and 30 possible injuries. The remaining 406 individuals were not injured.

Person Injury Severity

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Crash-level records

Occupant Safety Equipment

Among 497 vehicle occupants for whom safety equipment use could be determined, 409 (82.3%) were reported as using a shoulder and lap belt. However, 26 occupants were reported as not using any form of restraint system. Child restraints, including forward-facing seats and boosters, were used by 15 children.

Occupant Safety Equipment

"Other" combines 1 smaller categories (1 records): Child Restraint System - Rear Facing (1).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · Person-level records linked to crash events

Vehicles Per Crash

Two-vehicle collisions were the most common scenario, accounting for 146 of the 215 total crashes (67.9%). Single-vehicle crashes were also frequent, with 59 incidents recorded (27.4%). Multi-vehicle pile-ups involving three or more vehicles were less common, with 10 such crashes documented.

Vehicles Per Crash

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-07-01 to 2021-07-31 · 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: 2021-07-01 through 2021-07-31
  • Report generated: July 6, 2026

Data Coverage

  • Reporting period: 2021-07-01 through 2021-07-31 (31 days)
  • Geographic scope: ohio, OH
  • Total crash records analyzed: 215
  • Total persons involved: 498
  • Total vehicles involved: 383

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: July 2021." Published July 6, 2026. Reporting period: 2021-07-01 to 2021-07-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/july-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

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Allen County, OH Crash Report — July 2021 | ThatCarHitMe.com