Monthly Traffic Safety Analysis

329 CRASHES IN
OHIO, OH
OCTOBER 2021

In October 2021, Allen County recorded 329 traffic crashes, resulting in 3 fatalities and 144 injuries. A significant temporal pattern emerged, with Fridays accounting for 82 crashes, nearly 25% of the month's total and more than double the volume of any other weekday except Saturday.

329

Total Crash Events

3

Persons Killed

144

Persons Injured

14.0%

Hit-and-Run Rate

Note: "Persons Killed" (3) counts individual fatalities across all crash events. "Fatal" in the severity table below (3) 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 · 2021-10-01 to 2021-10-31 · Aggregate counts from crash, person, and vehicle records

46

Hit-and-Run Crashes — October 2021

Based on the initial determination of responding officers, 46 crashes, or 14% of the total, were classified as hit-and-runs. These incidents involved a driver leaving the scene of the collision.

Vulnerable Road User Casualties

Of the 147 people killed or injured, motorists comprised the largest group with 3 fatalities and 137 injuries. There were no pedestrian or cyclist fatalities during this period. However, 7 pedestrians were injured in collisions.

0

Pedestrians Killed

3

Motorists Killed

7

Pedestrians Injured

137

Motorists Injured

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

Crashes peaked on Fridays, which saw 82 incidents, and during the 3 p.m. hour, which recorded 31 crashes. Overall, 56% of crashes (185) occurred during daylight hours. The afternoon commute, particularly between 3 p.m. and 6 p.m., represented a high-frequency period with 79 total crashes.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The vast majority of crashes, 72.3% (238 incidents), resulted in no injuries. Injury-involved crashes accounted for 26.7% of the total, including 5 serious injury crashes and 44 minor injury crashes. Three separate crashes were fatal, leading to a total of three fatalities for the month.

Outcome by Severity (Crash Events)

Fatal3fatal crashes0.9%
Serious Injury5serious injury crashes1.5%
Minor Injury44minor injury crashes13.4%
Possible Injury39possible injury crashes11.9%
No Injury238no injury crashes72.3%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Most severe injury per crash record

Road & Environmental Conditions

The majority of collisions occurred in ideal driving conditions, with 52% on clear days and 72% on dry road surfaces. Over half of the incidents (185) happened in daylight. However, adverse conditions were still a factor, as 60 crashes (18%) occurred during rain and 92 crashes (28%) took place on wet roads.

Weather

Clear171 (52.0%)
Cloudy95 (28.9%)
Rain60 (18.2%)
Other/Unknown3 (0.9%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Weather condition at time of crash

Lighting

Daylight185 (56.2%)
Dark - Roadway Not Lighted71 (21.6%)
Dark - Lighted Roadway41 (12.5%)
Dawn/Dusk22 (6.7%)
Dark - Unknown Roadway Lighting5 (1.5%)
Other/Unknown5 (1.5%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Lighting condition field

Road Surface

Dry237 (72.0%)
Wet92 (28.0%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Road surface condition field

Vehicles & Demographics

Among the 733 individuals involved in crashes, the 16-20 and 35-44 age groups were the most represented, each with 104 people. Of the 550 vehicles involved, passenger cars were the most common type at 264, followed by sport utility vehicles at 120. The most frequent vehicle makes noted in crash reports were Ford (86 vehicles), Chevrolet (81), and Honda (53).

Top Vehicle Makes (550 vehicles)

1
FORD86 (15.6%)
2
CHEVROLET81 (14.7%)
3
HONDA53 (9.6%)
4
DODGE50 (9.1%)
5
TOYOTA30 (5.5%)
6
GMC24 (4.4%)
7
NISSAN23 (4.2%)
8
HYUNDAI21 (3.8%)
9
JEEP19 (3.5%)
10
CHRYSLER18 (3.3%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Vehicle unit records

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

Sex Distribution (697 persons with recorded sex)

Male356 (51.1%)
Female341 (48.9%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Person-level records linked to crash events

Crash Location (First Harmful Event)

The first harmful event for most crashes, 280 out of 329, occurred on the roadway itself. A notable portion, approximately 12.8% or 42 incidents, were classified as run-off-road crashes, with the initial impact happening on the roadside, shoulder, or in the median.

Crash Location (First Harmful Event)

"Other" combines 2 smaller categories (3 records): Driveway/Alley access (2), On ramp (1).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Crash-level records

Traffic Control Device

Analysis of the 548 vehicle units with traffic control data shows that 65% were involved in crashes at locations with no traffic control device present. Crashes at signalized intersections involved 135 units (24.6% of the total), while those at stop signs involved 47 units (8.6%).

Traffic Control Device

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Vehicle unit records

Driver Contributing Factor

Among driver actions cited as contributing factors, 'Following too Close / ACDA' was the most common, noted for 71 vehicle units. 'Failure to Yield' was the second-leading factor, attributed to 52 units, followed by 'Drove off Road,' which was cited for 27 units.

Driver Contributing Factor

1
Following too Close / ACDA71 (26.8%)
2
Failure to Yield52 (19.6%)
3
Drove off Road27 (10.2%)
4
Other Improper Action25 (9.4%)
5
Improper Lane Change18 (6.8%)
6
Unsafe Speed12 (4.5%)
7
Left of Center10 (3.8%)
8
Ran Red Light8 (3%)
9
Improper Backing8 (3%)

Showing top 9 of 17 reported. 8 additional (34 total) not shown: Improper Turn, Swerving to Avoid, Ran Stop Sign, Not Discernible, Improper Passing, Operating Defective Equipment, Improper Crossing, Load shifting/Falling/Spilling.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Vehicle unit records

Commercial / Truck Involvement

Commercial trucks were involved in at least 23 incidents during this period. Of these, 14 involved a semi-tractor trailer and 9 involved other types of commercial vehicles. These crashes represent approximately 7% of all collisions in the county for the month.

Vulnerable Road Users & Motorcycles

A total of 11 crashes involved a vulnerable road user or a motorcyclist. This included 6 crashes with pedestrians, 4 with motorcyclists, and 1 with a bicyclist. Combined, crashes involving pedestrians and bicyclists accounted for 7 incidents, or 2.1% of the monthly total.

Animal-Involved Crashes

Collisions with animals accounted for 63 crashes, representing a significant 19.1% of all incidents in October. The vast majority of these, 60 crashes, involved deer. This highlights a specific seasonal hazard for drivers in the county.

Impairment (Alcohol / Drugs)

Impairment was a factor in 15 crashes, accounting for 4.6% of all incidents. Of the 15 drivers identified as impaired, 9 were under the influence of alcohol, 3 were under the influence of drugs, and 3 were noted to have used both alcohol and drugs.

Driver Condition

Among 520 drivers with condition data, 23 were reported to have an adverse physical or mental condition. This included 14 drivers noted as being under the influence of medications, drugs, or alcohol, and 5 drivers who reportedly fell asleep, fainted, or were fatigued.

Driver Condition

1
Apparently Normal459 (89.6%)
2
Other/Unknown30 (5.9%)
3
Under the Influence of Medications / Drugs / Alcohol14 (2.7%)
4
Fell Asleep; Fainted; Fatigued; etc.5 (1%)
5
Emotional (E.G.; Depressed; Angry; Disturbed)2 (0.4%)
6
Illness1 (0.2%)
7
Physical Impairment1 (0.2%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Person-level records linked to crash events

Driver Distraction

Among 520 drivers, 33 were noted as being distracted at the time of the crash. The most common specified distractions were 'other distraction inside the vehicle' (14 drivers) and 'other distraction outside the vehicle' (10 drivers). Four drivers were reported to be manually operating an electronic communication device.

Driver Distraction

1
Not Distracted452 (88.1%)
2
Other/Unknown28 (5.5%)
3
Other distraction inside the vehicle14 (2.7%)
4
Other distraction outside the vehicle10 (1.9%)
5
Manually operating an electronic communication device (texting; typing; dialing)4 (0.8%)
6
Other activity with an electronic device2 (0.4%)
7
Talking on hand-held communication device2 (0.4%)
8
Talking on hands-free communication device1 (0.2%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Person-level records linked to crash events

Road Alignment

The vast majority of crashes (282) occurred on straight and level sections of roadway. However, roadway geometry was a factor in some incidents, with 23 crashes (7.0%) occurring on curves and 31 crashes (9.4%) occurring on grades.

Road Alignment

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Crash-level records

Top Cities

The City of Lima accounted for the largest share of crashes with 104 incidents, representing 31.6% of the county's total. The Township of Bath followed with 52 crashes (15.8%), and the Township of Shawnee had 40 crashes (12.2%). These three municipalities comprised over 59% of all crashes in Allen County for the period.

Top Cities

1
Lima104 (31.6%)
2
Bath52 (15.8%)
3
Shawnee40 (12.2%)
4
American39 (11.9%)
5
Perry20 (6.1%)
6
Richland19 (5.8%)
7
Auglaize11 (3.3%)
8
Jackson10 (3%)
9
Marion8 (2.4%)

Showing top 9 of 17 reported. 8 additional (26 total) not shown: Amanda, Sugar Creek, Delphos, Monroe, Bluffton, Spencer, Spencerville, Harrod.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Crash-level records

Pre-Crash Driver Action

Analysis of pre-crash actions for 550 vehicles shows that the most common maneuver was driving straight ahead, which accounted for 307 units (55.8%). The next most frequent action was slowing or stopping in traffic, reported for 83 units (15.1%).

Pre-Crash Driver Action

1
Straight Ahead307 (55.8%)
2
Slowing or Stopped In Traffic83 (15.1%)
3
Making Left Turn46 (8.4%)
4
Parked23 (4.2%)
5
Making Right Turn18 (3.3%)
6
Changing Lanes17 (3.1%)
7
Negotiating a Curve14 (2.5%)
8
Backing11 (2%)
9
Other/Unknown11 (2%)

Showing top 9 of 15 reported. 6 additional (20 total) not shown: Entering Traffic Lane, Overtaking/Passing, Walking; Running; Jogging; Playing, Leaving Traffic Lane, Entering or Crossing Specified Location, Standing Outside Disabled Vehicle.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Vehicle unit records

Manner of Collision

Single-vehicle crashes, categorized as 'Not Collision Between Two Vehicles in Transport,' were the most frequent type, accounting for 147 incidents or 44.7% of the total. For multi-vehicle crashes, angle collisions and rear-end collisions were equally common, each accounting for 63 incidents (19.1%).

Manner of Collision

"Other" combines 1 smaller categories (4 records): Backing (4).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Crash-level records

Vehicle Type

Passenger cars were the most prevalent vehicle type involved in crashes, accounting for 264 of the 550 vehicles (48.0%). Sport utility vehicles (120 units) and pickup trucks (77 units) were the next most common. Commercial vehicles, including semi-tractors, buses, and single-unit trucks, were involved in 30 instances.

Vehicle Type

"Other" combines 9 smaller categories (24 records): Cargo Van (6), Single Unit Truck (4), Motorcycle 2 Wheeled (4), Bus (16+ Passengers) (4), Farm Equipment (2), Van (9-15 Seats) (1), Heavy Equipment (1), Other Vehicle (1), Bicycle (1).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Vehicle unit records

Person Type

Of the 733 people involved in collisions, the majority were drivers, accounting for 520 individuals (70.9%). Passengers made up the next largest group with 206 individuals (28.1%), while 7 pedestrians were also involved in crashes.

Person Type

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Crash-level records

Person Injury Severity

Among the 733 individuals involved in crashes, 147 people sustained some level of injury or were killed. This included 3 fatalities, 6 serious injuries, 67 minor injuries, and 71 possible injuries. The remaining 575 individuals were not injured.

Person Injury Severity

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Crash-level records

Occupant Safety Equipment

Among vehicle occupants with reported safety equipment usage, 47 individuals, or 6.5% of the 726 with data, were not using any form of restraint. The majority of occupants (601) were reported to be using both a shoulder and lap belt.

Occupant Safety Equipment

"Other" combines 1 smaller categories (1 records): Helmet Used (1).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · Person-level records linked to crash events

Vehicles Per Crash

Two-vehicle collisions were the most common scenario, accounting for 190 crashes (57.8%). Single-vehicle crashes were also frequent, with 124 incidents representing 37.7% of the total. Crashes involving three or more vehicles were less common, occurring in 15 instances.

Vehicles Per Crash

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-10-01 to 2021-10-31 · 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: 2021-10-01 through 2021-10-31
  • Report generated: July 6, 2026

Data Coverage

  • Reporting period: 2021-10-01 through 2021-10-31 (31 days)
  • Geographic scope: ohio, OH
  • Total crash records analyzed: 329
  • Total persons involved: 733
  • Total vehicles involved: 550

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: October 2021." Published July 6, 2026. Reporting period: 2021-10-01 to 2021-10-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/october-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 — October 2021 | ThatCarHitMe.com