Monthly Traffic Safety Analysis

207 CRASHES IN
OHIO, OH
JUNE 2021

In June 2021, Allen County recorded 207 traffic crashes, resulting in 1 fatality and 93 injuries. The majority of these incidents, 72.5%, did not result in any reported injuries. Crashes were most frequent on Mondays, and the single busiest hour for crashes was 3 p.m.

207

Total Crash Events

1

Persons Killed

93

Persons Injured

20.3%

Hit-and-Run Rate

Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) 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 · 2021-06-01 to 2021-06-30 · Aggregate counts from crash, person, and vehicle records

42

Hit-and-Run Crashes — June 2021

In this period, 42 crashes, representing 20.3% of the total, were classified as hit-and-run incidents. This determination is based on the initial assessment by the responding law enforcement officer at the scene of the crash.

Vulnerable Road User Casualties

In this period, one motorist was killed and 93 motorists were injured. There were no reported fatalities or injuries involving pedestrians or cyclists. All recorded casualties involved occupants of motor vehicles.

1

Motorists Killed

93

Motorists Injured

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

Crash analysis by time reveals specific patterns. Mondays were the most frequent day for crashes, with 35 incidents recorded. The single busiest hour was 3 p.m., which saw 24 crashes. Overall, a significant majority of crashes, 156 out of 207, occurred during daylight hours.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The data indicates that 72.5% of all crashes (150 incidents) resulted in no injuries. Injury-related crashes, including serious, minor, and possible injuries, accounted for 27.1% of the total. One fatal crash was recorded during this period, though the total number of fatalities may differ as a single incident can result in multiple deaths.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.5%
Serious Injury8serious injury crashes3.9%
Minor Injury28minor injury crashes13.5%
Possible Injury20possible injury crashes9.7%
No Injury150no injury crashes72.5%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Most severe injury per crash record

Road & Environmental Conditions

The majority of crashes occurred under ideal environmental conditions. Specifically, 67.1% of crashes happened in clear weather, 86.0% on dry road surfaces, and 75.4% during daylight hours. Crashes in the rain were reported in 17 instances, and 26 crashes occurred on wet roads.

Weather

Clear139 (67.1%)
Cloudy50 (24.2%)
Rain17 (8.2%)
Other/Unknown1 (0.5%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Weather condition at time of crash

Lighting

Daylight156 (75.4%)
Dark - Roadway Not Lighted19 (9.2%)
Dark - Lighted Roadway18 (8.7%)
Dawn/Dusk11 (5.3%)
Other/Unknown2 (1.0%)
Dark - Unknown Roadway Lighting1 (0.5%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Lighting condition field

Road Surface

Dry178 (86.0%)
Wet26 (12.6%)
Sand; Mud; Dirt; Oil; Gravel2 (1.0%)
Other/Unknown1 (0.5%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Road surface condition field

Vehicles & Demographics

Analysis of persons involved in crashes shows the 26-34 age group was the most represented, with 79 individuals, followed by the 16-20 age group with 63 individuals. Among the 362 vehicles involved, the most frequent makes were Ford (63 vehicles), Chevrolet (61 vehicles), and Honda (40 vehicles).

Top Vehicle Makes (362 vehicles)

1
FORD63 (17.4%)
2
CHEVROLET61 (16.9%)
3
HONDA40 (11%)
4
DODGE20 (5.5%)
5
GMC16 (4.4%)
6
TOYOTA14 (3.9%)
7
BUICK14 (3.9%)
8
CHRYSLER12 (3.3%)
9
KIA11 (3%)
10
NISSAN10 (2.8%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Vehicle unit records

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

Sex Distribution (426 persons with recorded sex)

Male232 (54.5%)
Female194 (45.5%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Person-level records linked to crash events

Crash Location (First Harmful Event)

The first harmful event in most crashes, 170 out of 207 incidents (82.1%), occurred on the roadway itself. A total of 32 crashes, or 15.5% of the total, were initiated off the primary travel lanes, including incidents on the roadside, shoulder, median, or outside the trafficway.

Crash Location (First Harmful Event)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Crash-level records

Traffic Control Device

Analysis of traffic controls present at crash locations indicates that for 221 of the 362 vehicles involved, no traffic control device was present. Signalized intersections were associated with 99 vehicles involved in crashes, while stop signs were present for 34 vehicles.

Traffic Control Device

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Vehicle unit records

Driver Contributing Factor

The most commonly cited contributing factor for drivers was "Following too Close / ACDA," noted in 38 instances. This was followed by "Failure to Yield" with 25 instances and "Drove off Road" with 21 instances. "Improper Backing" was also a notable factor, contributing to 13 incidents.

Driver Contributing Factor

1
Following too Close / ACDA38 (20.7%)
2
Other Improper Action30 (16.3%)
3
Failure to Yield25 (13.6%)
4
Drove off Road21 (11.4%)
5
Improper Backing13 (7.1%)
6
Improper Lane Change11 (6%)
7
Improper Turn9 (4.9%)
8
Ran Red Light9 (4.9%)
9
Ran Stop Sign8 (4.3%)

Showing top 9 of 17 reported. 8 additional (20 total) not shown: Left of Center, Unsafe Speed, Swerving to Avoid, Operating Defective Equipment, Not Discernible, Improper Passing, Load shifting/Falling/Spilling, Improper Start From a Parked Position.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Vehicle unit records

Commercial / Truck Involvement

Commercial trucks were involved in 20 crashes, accounting for 9.7% of all incidents in this period. Of these, 12 involved a semi-tractor trailer, while the remaining 8 involved other types of commercial vehicles.

Animal-Involved Crashes

Collisions with animals accounted for 25 crashes, or 12.1% of the total incidents. The vast majority of these, 24 crashes, involved deer. One additional crash involved another type of animal.

Driver Condition

Beyond 'Apparently Normal,' specific driver conditions were noted for 10 drivers. Seven drivers were identified as being under the influence of medications, drugs, or alcohol. Additionally, 2 drivers were reported as having fallen asleep or being fatigued, and 1 driver was noted as emotional.

Driver Condition

1
Apparently Normal296 (88.6%)
2
Other/Unknown28 (8.4%)
3
Under the Influence of Medications / Drugs / Alcohol7 (2.1%)
4
Fell Asleep; Fainted; Fatigued; etc.2 (0.6%)
5
Emotional (E.G.; Depressed; Angry; Disturbed)1 (0.3%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Person-level records linked to crash events

Driver Distraction

A specific distraction was identified for 20 drivers involved in crashes. The most common was 'Other distraction inside the vehicle,' reported for 8 drivers. Manually operating an electronic device like texting or dialing was noted for 4 drivers, and distraction from outside the vehicle was a factor for 5 drivers.

Driver Distraction

1
Not Distracted285 (85.3%)
2
Other/Unknown29 (8.7%)
3
Other distraction inside the vehicle8 (2.4%)
4
Other distraction outside the vehicle5 (1.5%)
5
Manually operating an electronic communication device (texting; typing; dialing)4 (1.2%)
6
Other activity with an electronic device1 (0.3%)
7
Passenger1 (0.3%)
8
Talking on hand-held communication device1 (0.3%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Person-level records linked to crash events

Road Alignment

Most crashes (182 out of 207) occurred on straight, level road segments. However, 15 crashes (7.2%) occurred on curves, and another 15 crashes (7.2%) occurred on grades. Five of these incidents happened at locations with both a curve and a grade.

Road Alignment

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Crash-level records

Top Cities

The geographic distribution of crashes was concentrated in a few key areas. The City of Lima accounted for the largest share, with 83 crashes, representing 40.1% of the county's total. The next most frequent locations were American with 26 crashes, Perry with 18, and Bath with 17.

Top Cities

1
Lima83 (40.1%)
2
American26 (12.6%)
3
Perry18 (8.7%)
4
Bath17 (8.2%)
5
Shawnee14 (6.8%)
6
Richland11 (5.3%)
7
Marion8 (3.9%)
8
Delphos5 (2.4%)
9
Monroe5 (2.4%)

Showing top 9 of 18 reported. 9 additional (20 total) not shown: Amanda, Spencerville, Jackson, Auglaize, Sugar Creek, Elida, Westminster, Beaverdam, Spencer.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Crash-level records

Pre-Crash Driver Action

Analysis of driver actions prior to collision shows that the majority of vehicles, 187 out of 362 (51.7%), were moving straight ahead. The second most common pre-crash action was slowing or stopping in traffic, which was reported for 47 vehicles (13.0%). Making a left turn was the action for 29 vehicles involved in crashes.

Pre-Crash Driver Action

1
Straight Ahead187 (51.7%)
2
Slowing or Stopped In Traffic47 (13%)
3
Making Left Turn29 (8%)
4
Parked21 (5.8%)
5
Making Right Turn17 (4.7%)
6
Backing16 (4.4%)
7
Negotiating a Curve12 (3.3%)
8
Changing Lanes11 (3%)
9
Other/Unknown9 (2.5%)

Showing top 9 of 13 reported. 4 additional (13 total) not shown: Entering Traffic Lane, Overtaking/Passing, Leaving Traffic Lane, Driverless.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Vehicle unit records

Manner of Collision

The most common type of crash was a single-vehicle incident, classified as 'Not Collision Between Two Vehicles in Transport,' which accounted for 83 crashes or 40.1% of the total. Among multi-vehicle collisions, angle crashes were the most frequent, with 51 incidents (24.6%), followed by rear-end collisions with 39 incidents (18.8%).

Manner of Collision

"Other" combines 1 smaller categories (1 records): Rear-to-rear (1).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Crash-level records

Vehicle Type

Passenger cars were the most common vehicle type involved in crashes, accounting for 211 of the 362 vehicles (58.3%). Sport Utility Vehicles (56) and Pick up trucks (42) were the next most frequent. Commercial vehicles, including semi-tractors and single unit trucks, were involved in at least 16 crashes.

Vehicle Type

"Other" combines 8 smaller categories (17 records): Motorcycle 2 Wheeled (5), Single Unit Truck (4), Van (9-15 Seats) (2), Heavy Equipment (2), Other Vehicle (1), Moped or Motorized Bicycle (1), Bicycle (1), All Terrain Vehicle (ATV/UTV) (1).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Vehicle unit records

Person Type

A total of 455 individuals were involved in these crashes. The majority of these individuals were drivers, accounting for 340 people (74.7%). The remaining 115 people (25.3%) were vehicle occupants or passengers.

Person Type

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Crash-level records

Person Injury Severity

Of the 455 people involved in crashes, one individual sustained a fatal injury. A total of 93 people, or 20.4% of all participants, suffered some level of injury, ranging from possible to serious. The largest group, 352 people (77.4%), were not injured.

Person Injury Severity

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Crash-level records

Occupant Safety Equipment

The majority of vehicle occupants, 353 people, were reported as using a shoulder and lap belt. However, 28 individuals, representing 6.2% of all people involved, were recorded as using no safety equipment. An additional 24 individuals were secured in child restraint systems.

Occupant Safety Equipment

"Other" combines 1 smaller categories (1 records): Booster Seat (1).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · Person-level records linked to crash events

Vehicles Per Crash

The most common configuration was a two-vehicle collision, which occurred in 132 out of 207 incidents (63.8%). Single-vehicle crashes accounted for 64 incidents, or 30.9% of the total. There were also 10 crashes involving three vehicles and one crash involving four vehicles.

Vehicles Per Crash

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-06-01 to 2021-06-30 · 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: 2021-06-01 through 2021-06-30
  • Report generated: July 6, 2026

Data Coverage

  • Reporting period: 2021-06-01 through 2021-06-30 (30 days)
  • Geographic scope: ohio, OH
  • Total crash records analyzed: 207
  • Total persons involved: 455
  • Total vehicles involved: 362

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: June 2021." Published July 6, 2026. Reporting period: 2021-06-01 to 2021-06-30. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/june-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

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