Monthly Traffic Safety Analysis

284 CRASHES IN
OHIO, OH
DECEMBER 2021

In December 2021, Allen County recorded 284 traffic crashes, resulting in 1 fatality and 113 injuries. A notable finding from the data is the high incidence of animal-related collisions, with 57 crashes, or 20.1% of the total, involving an animal.

284

Total Crash Events

1

Persons Killed

113

Persons Injured

16.2%

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 · 2021-12-01 to 2021-12-31 · Aggregate counts from crash, person, and vehicle records

46

Hit-and-Run Crashes — December 2021

Based on the responding officer's initial determination, 46 crashes in December 2021 were classified as hit-and-run incidents. This represents 16.2% of all crashes recorded in Allen County during this period.

Vulnerable Road User Casualties

In December 2021, motorists accounted for all fatalities and the vast majority of injuries. One motorist was killed and 110 were injured in crashes. Additionally, three pedestrians were injured in collisions. No cyclists were reported as killed or injured during this period.

0

Pedestrians Killed

1

Motorists Killed

3

Pedestrians Injured

110

Motorists Injured

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

Crash occurrences in Allen County peaked on Wednesdays, with 56 incidents reported in December 2021. The most frequent time for crashes was the 1 p.m. hour, which saw 27 collisions. Crashes were concentrated in the afternoon and evening, with 137 incidents, or 48.2% of the total, occurring between 1 p.m. and 6 p.m.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Of the 284 crashes, 205 (72.2%) resulted in no injuries, involving only property damage. The remaining 78 crashes (27.5%) involved at least one reported injury, ranging from possible to serious. One fatal crash was recorded during this period. The number of fatalities can differ from the number of fatal crashes, as a single incident may result in multiple deaths.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.4%
Serious Injury4serious injury crashes1.4%
Minor Injury42minor injury crashes14.8%
Possible Injury32possible injury crashes11.3%
No Injury205no injury crashes72.2%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Most severe injury per crash record

Road & Environmental Conditions

A significant portion of crashes occurred in seemingly ideal conditions, with 135 (47.5%) happening in clear weather and 179 (63.0%) on dry road surfaces. Collisions in daylight accounted for 140 incidents, or 49.3% of the total. Adverse conditions were also a factor, with 100 crashes (35.2%) taking place on wet roads and 42 (14.8%) occurring during rain.

Weather

Clear135 (47.5%)
Cloudy96 (33.8%)
Rain42 (14.8%)
Sleet; Hail4 (1.4%)
Snow2 (0.7%)
Fog; Smog; Smoke2 (0.7%)
Severe Crosswinds1 (0.4%)
Other/Unknown1 (0.4%)
Freezing Rain or Freezing Drizzle1 (0.4%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Weather condition at time of crash

Lighting

Daylight140 (49.3%)
Dark - Roadway Not Lighted76 (26.8%)
Dark - Lighted Roadway48 (16.9%)
Dawn/Dusk17 (6.0%)
Other/Unknown2 (0.7%)
Dark - Unknown Roadway Lighting1 (0.4%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Lighting condition field

Road Surface

Dry179 (63.0%)
Wet100 (35.2%)
Snow3 (1.1%)
Other/Unknown1 (0.4%)
Slush1 (0.4%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Road surface condition field

Vehicles & Demographics

Analysis of the 643 people involved in crashes shows the 16-20 age group was the most represented, with 102 individuals, followed by the 26-34 age group with 92. Among the 482 vehicles involved, Ford was the most frequent make with 92 vehicles, followed by Chevrolet with 86. Honda and Dodge vehicles were each involved in 33 incidents.

Top Vehicle Makes (482 vehicles)

1
FORD92 (19.1%)
2
CHEVROLET86 (17.8%)
3
HONDA33 (6.8%)
4
DODGE33 (6.8%)
5
GMC21 (4.4%)
6
CHRYSLER21 (4.4%)
7
HYUNDAI20 (4.1%)
8
NISSAN17 (3.5%)
9
KIA16 (3.3%)
10
JEEP15 (3.1%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Vehicle unit records

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

Sex Distribution (609 persons with recorded sex)

Male326 (53.5%)
Female283 (46.5%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Person-level records linked to crash events

Crash Location (First Harmful Event)

The first harmful event in most crashes, 244 out of 284, occurred on the primary roadway. A total of 28 incidents, representing 9.9% of all crashes, were classified as run-off-road events, with the initial impact happening on the roadside, shoulder, or in the median.

Crash Location (First Harmful Event)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Crash-level records

Traffic Control Device

Analysis of traffic controls for vehicles involved in crashes shows a majority, 320 out of 481 units with known control types, were at locations with no traffic control device present. Signalized intersections were the location for 110 vehicles involved in crashes. Another 39 vehicles were involved in crashes at locations with a stop sign.

Traffic Control Device

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Vehicle unit records

Driver Contributing Factor

The most common contributing factor cited for drivers was 'Failure to Yield,' attributed to 50 vehicles. This was closely followed by 'Following too Close / ACDA' with 49 vehicles. Other significant factors included 'Drove off Road' (22 vehicles), 'Unsafe Speed' (20 vehicles), and 'Improper Lane Change' (19 vehicles).

Driver Contributing Factor

1
Failure to Yield50 (22.4%)
2
Following too Close / ACDA49 (22%)
3
Drove off Road22 (9.9%)
4
Unsafe Speed20 (9%)
5
Improper Lane Change19 (8.5%)
6
Other Improper Action19 (8.5%)
7
Improper Turn9 (4%)
8
Left of Center8 (3.6%)
9
Ran Red Light6 (2.7%)

Showing top 9 of 16 reported. 7 additional (21 total) not shown: Improper Backing, Ran Stop Sign, Swerving to Avoid, Vision Obstruction, Not Discernible, Opening Door into Roadway, Improper Crossing.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Vehicle unit records

Commercial / Truck Involvement

A total of 18 commercial vehicles were involved in crashes during this period. Of these, 17 were identified as semi-tractor-trailers and one was classified as another type of commercial vehicle.

Animal-Involved Crashes

Crashes involving animals accounted for 57 incidents, or 20.1% of all crashes in December. The vast majority of these, 55 crashes, were strikes involving deer. An additional two crashes involved other types of animals.

Driver Condition

Excluding drivers noted as 'Apparently Normal' or 'Unknown,' 15 drivers were recorded with a specific adverse condition. Six drivers were noted as being under the influence of medications, drugs, or alcohol. An additional 5 were described as emotional, 2 as fatigued or having fallen asleep, and 2 with a physical impairment.

Driver Condition

1
Apparently Normal403 (90.2%)
2
Other/Unknown29 (6.5%)
3
Under the Influence of Medications / Drugs / Alcohol6 (1.3%)
4
Emotional (E.G.; Depressed; Angry; Disturbed)5 (1.1%)
5
Fell Asleep; Fainted; Fatigued; etc.2 (0.4%)
6
Physical Impairment2 (0.4%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Person-level records linked to crash events

Driver Distraction

Among drivers for whom a distraction was specified, 16 were noted as being distracted. Six drivers were distracted by something outside the vehicle, and 5 by something inside the vehicle. Electronic devices were a factor for 5 drivers, with 3 manually operating a device and 2 engaged in another activity with a device.

Driver Distraction

1
Not Distracted398 (88.6%)
2
Other/Unknown35 (7.8%)
3
Other distraction outside the vehicle6 (1.3%)
4
Other distraction inside the vehicle5 (1.1%)
5
Manually operating an electronic communication device (texting; typing; dialing)3 (0.7%)
6
Other activity with an electronic device2 (0.4%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Person-level records linked to crash events

Road Alignment

The majority of crashes, 251 incidents, occurred on straight and level road segments. However, roadway geometry was a feature in some crashes, with 22 incidents (7.7%) occurring on curves. An additional 16 crashes (5.6%) took place on graded sections of road.

Road Alignment

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Crash-level records

Top Cities

Crashes were geographically concentrated, with the city of Lima accounting for 94 incidents, or 33.1% of the county's total. The townships of American and Bath followed, with 46 and 34 crashes, respectively. Shawnee township recorded 32 crashes, and Sugar Creek township had 12.

Top Cities

1
Lima94 (33.1%)
2
American46 (16.2%)
3
Bath34 (12%)
4
Shawnee32 (11.3%)
5
Sugar Creek12 (4.2%)
6
Richland11 (3.9%)
7
Amanda10 (3.5%)
8
Jackson8 (2.8%)
9
Perry7 (2.5%)

Showing top 9 of 18 reported. 9 additional (30 total) not shown: Auglaize, Bluffton, Delphos, Spencer, Marion, Elida, Spencerville, Fort Shawnee, Monroe.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Crash-level records

Pre-Crash Driver Action

The most common pre-crash action for the 482 vehicle units involved was 'Straight Ahead,' accounting for 278 units or 57.7% of the total. A significant number of vehicles were 'Slowing or Stopped In Traffic' (67 units) or 'Making Left Turn' (43 units) immediately prior to their respective collisions.

Pre-Crash Driver Action

1
Straight Ahead278 (57.7%)
2
Slowing or Stopped In Traffic67 (13.9%)
3
Making Left Turn43 (8.9%)
4
Parked20 (4.1%)
5
Changing Lanes19 (3.9%)
6
Negotiating a Curve14 (2.9%)
7
Backing9 (1.9%)
8
Making Right Turn8 (1.7%)
9
Other/Unknown8 (1.7%)

Showing top 9 of 17 reported. 8 additional (16 total) not shown: Entering Traffic Lane, Overtaking/Passing, Leaving Traffic Lane, Other Non-Motorist, Making U-Turn, Entering or Crossing Specified Location, Standing Outside Disabled Vehicle, Driverless.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Vehicle unit records

Manner of Collision

The most frequent crash type was single-vehicle incidents, categorized as 'Not Collision Between Two Vehicles in Transport,' which accounted for 126 crashes or 44.4% of the total. Among multi-vehicle crashes, angle collisions were the most common type with 59 incidents (20.8%), followed by rear-end collisions with 49 incidents (17.3%).

Manner of Collision

"Other" combines 2 smaller categories (6 records): Backing (4), Rear-to-rear (2).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Crash-level records

Vehicle Type

Passenger cars were the most common vehicle type involved in crashes, accounting for 238 of the 482 units (49.4%). Sport Utility Vehicles (SUVs) were the second most frequent with 115 units (23.9%). Trucks, vans, and buses collectively represented a notable share, including 64 pickups and 18 semi-tractors.

Vehicle Type

"Other" combines 7 smaller categories (10 records): Pedestrian/Skater (3), Single Unit Truck (2), Bus (16+ Passengers) (1), Other Vehicle (1), Bicycle (1), Motorcycle 2 Wheeled (1), Moped or Motorized Bicycle (1).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Vehicle unit records

Person Type

Of the 643 individuals involved in crashes, the majority were drivers, accounting for 458 people or 71.2% of the total. Passengers (occupants) made up the next largest group with 182 individuals (28.3%). Three pedestrians were also involved in crashes during this period.

Person Type

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Crash-level records

Person Injury Severity

Among the 643 people involved in crashes, 113 sustained an injury, and one person was fatally injured. The 113 injuries included 5 serious injuries, 56 minor injuries, and 52 possible injuries. The remaining 515 individuals were recorded as having no injuries.

Person Injury Severity

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Crash-level records

Occupant Safety Equipment

The vast majority of vehicle occupants, 550 people, were reported as using both a shoulder and lap belt. However, 20 individuals were recorded as using no safety equipment at the time of their crash. An additional 17 occupants were using child restraint systems, including forward-facing seats, rear-facing seats, and booster seats.

Occupant Safety Equipment

"Other" combines 3 smaller categories (5 records): Shoulder Belt Only Used (3), Helmet Used (1), Lighting - Pedestrian / Bicycle Only (1).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · Person-level records linked to crash events

Vehicles Per Crash

Two-vehicle collisions were the most common scenario, accounting for 166 of the 284 crashes (58.5%). Single-vehicle crashes were also frequent, with 104 incidents reported, making up 36.6% of the total. Multi-vehicle pile-ups involving three or more vehicles were less common, with 14 such crashes recorded.

Vehicles Per Crash

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-12-01 to 2021-12-31 · 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: 2021-12-01 through 2021-12-31
  • Report generated: July 6, 2026

Data Coverage

  • Reporting period: 2021-12-01 through 2021-12-31 (31 days)
  • Geographic scope: ohio, OH
  • Total crash records analyzed: 284
  • Total persons involved: 643
  • Total vehicles involved: 482

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: December 2021." Published July 6, 2026. Reporting period: 2021-12-01 to 2021-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/december-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 — December 2021 | ThatCarHitMe.com