Yearly Traffic Safety Analysis

970 CRASHES IN
OHIO, OH
2021

In 2021, Auglaize County recorded 970 total traffic crashes, which resulted in 6 fatalities and 302 injuries. A significant portion of these incidents, 487 crashes (50.2%), involved a single vehicle. The data indicates that the majority of crashes, 79.2%, did not result in any reported injuries.

970

Total Crash Events

6

Persons Killed

302

Persons Injured

7.0%

Hit-and-Run Rate

Note: "Persons Killed" (6) counts individual fatalities across all crash events. "Fatal" in the severity table below (6) 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 · 2021-01-01 to 2021-12-31 · Aggregate counts from crash, person, and vehicle records

68

Hit-and-Run Crashes — 2021

In 2021, 68 crashes in Auglaize County were classified as hit-and-run incidents, accounting for 7.0% of all crashes. This determination is based on the initial assessment by the responding law enforcement officer at the scene.

Vulnerable Road User Casualties

In 2021, motor vehicle occupants accounted for all 6 fatalities and the vast majority of injuries (300). No cyclists were killed or injured. Two pedestrians sustained injuries in crashes, but there were no pedestrian fatalities recorded during this period.

0

Pedestrians Killed

6

Motorists Killed

2

Pedestrians Injured

300

Motorists Injured

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

When Crashes Happen

Crash frequency in Auglaize County peaked on Fridays, which saw 165 incidents in 2021. The most common time for a crash was the 3 p.m. hour, with 74 occurrences. While crashes were distributed throughout the day, a slight majority, 507 out of 970 crashes, occurred during daylight hours.

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

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

Crash Severity Breakdown

The majority of crashes in 2021, 79.2% (768 incidents), resulted in no injuries. Injury-related crashes accounted for 20.2% of the total, with 15 classified as serious injury crashes. There were 6 fatal crashes recorded, which resulted in a total of 6 fatalities.

Outcome by Severity (Crash Events)

Fatal6fatal crashes0.6%
Serious Injury15serious injury crashes1.5%
Minor Injury132minor injury crashes13.6%
Possible Injury49possible injury crashes5.1%
No Injury768no injury crashes79.2%

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

Severity Distribution (Crash Events)

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

Road & Environmental Conditions

The majority of crashes occurred in favorable conditions, with 61.3% (595 crashes) happening in clear weather and 78.6% (762 crashes) on dry roads. Crashes during daylight hours accounted for 52.3% (507 incidents) of the total. Adverse weather played a role in a smaller fraction of incidents, with 89 crashes occurring during rain and 32 during snow.

Weather

Clear595 (61.3%)
Cloudy241 (24.8%)
Rain89 (9.2%)
Snow32 (3.3%)
Other/Unknown6 (0.6%)
Fog; Smog; Smoke6 (0.6%)
Sleet; Hail1 (0.1%)

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

Lighting

Daylight507 (52.3%)
Dark - Roadway Not Lighted304 (31.3%)
Dark - Lighted Roadway89 (9.2%)
Dawn/Dusk64 (6.6%)
Other/Unknown5 (0.5%)
Dark - Unknown Roadway Lighting1 (0.1%)

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

Road Surface

Dry762 (78.6%)
Wet160 (16.5%)
Snow23 (2.4%)
Ice15 (1.5%)
Other/Unknown7 (0.7%)
Sand; Mud; Dirt; Oil; Gravel2 (0.2%)
Slush1 (0.1%)

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

Vehicles & Demographics

Analysis of persons involved in crashes shows the 16-20 age group was most represented, with 263 individuals, followed by the 55-64 age group with 253 individuals. Among the 1,483 vehicles involved, the most frequent makes were Ford (256 vehicles), Chevrolet (228 vehicles), and Honda (184 vehicles).

Top Vehicle Makes (1,483 vehicles)

1
FORD256 (17.3%)
2
CHEVROLET228 (15.4%)
3
HONDA184 (12.4%)
4
DODGE110 (7.4%)
5
GMC60 (4%)
6
JEEP56 (3.8%)
7
CHRYSLER53 (3.6%)
8
HYUNDAI50 (3.4%)
9
KIA46 (3.1%)
10
TOYOTA45 (3%)

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

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

Sex Distribution (1,855 persons with recorded sex)

Male1,094 (59.0%)
Female761 (41.0%)

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

Crash Location (First Harmful Event)

The first harmful event for most crashes, 783 incidents (80.7%), occurred on the primary roadway. A notable portion, 163 crashes or 16.8% of the total, were run-off-road events, with the first impact happening on the roadside, shoulder, or in the median. An additional 13 crashes occurred entirely outside the trafficway.

Crash Location (First Harmful Event)

"Other" combines 4 smaller categories (6 records): Driveway/Alley access (2), Other/Unknown (2), On Gore (1), Crossover (1).

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

Traffic Control Device

Analysis of traffic controls present at crash locations indicates that the majority of vehicles involved, 1,139 out of 1,483, were in areas with no traffic control device. Vehicles involved in crashes at locations with stop signs numbered 182, while 142 were at signalized intersections.

Traffic Control Device

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

Driver Contributing Factor

The most frequently cited contributing factors for drivers involved in crashes were "Following too Close / ACDA" (115 instances), "Failure to Yield" (113 instances), and "Drove off Road" (107 instances). Other significant factors included "Improper Backing" with 54 instances and "Unsafe Speed" with 51 instances.

Driver Contributing Factor

1
Following too Close / ACDA115 (17.4%)
2
Failure to Yield113 (17.1%)
3
Drove off Road107 (16.2%)
4
Other Improper Action67 (10.1%)
5
Improper Backing54 (8.2%)
6
Unsafe Speed51 (7.7%)
7
Improper Lane Change23 (3.5%)
8
Ran Stop Sign21 (3.2%)
9
Improper Turn19 (2.9%)

Showing top 9 of 22 reported. 13 additional (92 total) not shown: Improper Passing, Swerving to Avoid, Left of Center, Ran Red Light, Load shifting/Falling/Spilling, Operating Defective Equipment, Vision Obstruction, Not Discernible, Improper Start From a Parked Position, Improper Crossing, Wrong Way, Opening Door into Roadway, Stopped or Parked Illegally.

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

Commercial / Truck Involvement

Crashes involving commercial trucks accounted for 105 incidents in 2021, representing 10.8% of all crashes. Of these, the majority (82 crashes) involved a semi-tractor trailer, while 23 crashes involved other types of commercial vehicles.

Vulnerable Road Users & Motorcycles

In 2021, there were 20 crashes involving vulnerable road users or motorcyclists. This total includes 14 crashes with motorcyclists, 3 with pedestrians, and 3 with bicyclists. Combined, crashes involving pedestrians and bicyclists accounted for 6 incidents, or 0.6% of all crashes.

Animal-Involved Crashes

Animal-related collisions were a significant factor in 2021, comprising 267 incidents or 27.5% of all crashes in Auglaize County. The vast majority of these, 248 crashes, were strikes involving deer. An additional 19 crashes involved other types of animals.

Impairment (Alcohol / Drugs)

Impairment was a noted factor in 44 crashes, representing 4.5% of the total for the year. Of these, 31 incidents were related to alcohol, 9 were related to drugs, and 4 involved a combination of both alcohol and drugs. These figures represent a minimum, as impairment may be under-reported.

Driver Condition

Beyond normal driving conditions, several driver-specific conditions were noted. A total of 35 drivers were identified as being under the influence of medications, drugs, or alcohol. Additionally, 17 drivers were reported as fatigued or having fallen asleep, and 5 had a physical impairment.

Driver Condition

1
Apparently Normal1,271 (92.9%)
2
Under the Influence of Medications / Drugs / Alcohol35 (2.6%)
3
Other/Unknown34 (2.5%)
4
Fell Asleep; Fainted; Fatigued; etc.17 (1.2%)
5
Physical Impairment5 (0.4%)
6
Illness3 (0.2%)
7
Emotional (E.G.; Depressed; Angry; Disturbed)3 (0.2%)

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

Driver Distraction

Among the 1,385 drivers involved in crashes, specific distractions were identified in a subset of cases. The most common reported distraction was an unspecified activity inside the vehicle (41 drivers), followed by a distraction outside the vehicle (14 drivers). Manually operating an electronic device like a phone was a factor for 10 drivers.

Driver Distraction

1
Not Distracted1,243 (90.1%)
2
Other/Unknown61 (4.4%)
3
Other distraction inside the vehicle41 (3%)
4
Other distraction outside the vehicle14 (1%)
5
Manually operating an electronic communication device (texting; typing; dialing)10 (0.7%)
6
Other activity with an electronic device5 (0.4%)
7
Passenger4 (0.3%)
8
Talking on hands-free communication device1 (0.1%)

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

Road Alignment

While the majority of crashes (817) occurred on straight, level roads, roadway geometry was a factor in some incidents. A total of 74 crashes (7.6%) happened on a curve, and 106 crashes (10.9%) occurred on a grade. Thirty of these crashes occurred on roads that were both curved and graded.

Road Alignment

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

Top Cities

The geographic distribution of crashes was concentrated in a few key areas. The city of St. Marys saw the highest volume with 192 crashes (19.8% of the total), followed by Duchouquet township with 174 crashes (17.9%) and the city of Wapakoneta with 152 crashes (15.7%). Together, these three locations accounted for over half of all crashes in the county.

Top Cities

1
St. Marys192 (19.8%)
2
Duchouquet174 (17.9%)
3
Wapakoneta152 (15.7%)
4
Pusheta68 (7%)
5
Noble62 (6.4%)
6
Moulton49 (5.1%)
7
Union40 (4.1%)
8
Wayne32 (3.3%)
9
New Bremen31 (3.2%)

Showing top 9 of 22 reported. 13 additional (170 total) not shown: Minster, Clay, Salem, Logan, German, Goshen, Washington, Jackson, Auglaize, Uniopolis, New Knoxville, New Hampshire, Cridersville.

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

Pre-Crash Driver Action

The most common action immediately preceding a crash was driving straight ahead, which was the case for 931 of the 1,483 vehicles involved (62.8%). The next most frequent pre-crash actions were slowing or stopping in traffic (131 vehicles) and being parked (91 vehicles). Making a left turn was the pre-crash action for 83 vehicles.

Pre-Crash Driver Action

1
Straight Ahead931 (62.8%)
2
Slowing or Stopped In Traffic131 (8.8%)
3
Parked91 (6.1%)
4
Making Left Turn83 (5.6%)
5
Backing61 (4.1%)
6
Negotiating a Curve48 (3.2%)
7
Changing Lanes31 (2.1%)
8
Making Right Turn29 (2%)
9
Entering Traffic Lane24 (1.6%)

Showing top 9 of 16 reported. 7 additional (54 total) not shown: Other/Unknown, Overtaking/Passing, Leaving Traffic Lane, Driverless, Walking; Running; Jogging; Playing, Making U-Turn, Entering or Crossing Specified Location.

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

Manner of Collision

The most prevalent crash type was single-vehicle incidents, categorized as "Not Collision Between Two Vehicles in Transport," which accounted for 543 crashes or 56% of the total. Among multi-vehicle collisions, angle crashes were the most common, with 161 incidents (16.6%), followed by rear-end collisions with 122 incidents (12.6%).

Manner of Collision

"Other" combines 2 smaller categories (15 records): Head-on (11), Rear-to-rear (4).

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

Vehicle Type

Passenger cars were the most common vehicle type involved in crashes, accounting for 648 of the 1,483 vehicles (43.7%). Sport Utility Vehicles (316) and Pick up trucks (256) were also frequently involved. Commercial vehicles, including 89 semi-tractors and 22 single-unit trucks, were present in a notable number of incidents.

Vehicle Type

"Other" combines 11 smaller categories (66 records): Unknown or Hit/Skip (20), Motorcycle 2 Wheeled (13), Bus (16+ Passengers) (8), Other Vehicle (5), Farm Equipment (5), Van (9-15 Seats) (3), Moped or Motorized Bicycle (3), Pedestrian/Skater (3), Bicycle (3), Motorcycle 3 Wheeled (2), Motorhome (1).

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

Person Type

Of the 1,908 individuals involved in crashes, the majority were drivers, accounting for 1,385 people (72.6%). Passengers (occupants) made up the next largest group with 519 individuals (27.2%). A small number of pedestrians (4) were also involved in these traffic incidents.

Person Type

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

Person Injury Severity

Out of 1,908 people involved in crashes, 308 suffered some level of injury or were killed. This includes 6 fatalities (0.3% of all persons), 19 serious injuries, 184 minor injuries, and 99 possible injuries. The vast majority of individuals, 1,585 people, were not injured.

Person Injury Severity

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

Occupant Safety Equipment

Safety equipment usage was high, with 1,561 individuals reported as using a shoulder and lap belt. However, 87 individuals involved in crashes were reported as using no safety equipment, representing 4.6% of all participants. An additional 9 individuals were noted as using a helmet.

Occupant Safety Equipment

"Other" combines 2 smaller categories (30 records): Lap Belt Only Used (21), Helmet Used (9).

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

Vehicles Per Crash

Crashes were almost evenly split between single-vehicle and two-vehicle incidents. Single-vehicle crashes accounted for 487 events (50.2% of the total), while two-vehicle crashes numbered 458 (47.2%). Multi-vehicle pile-ups involving three or more vehicles were less common, with only 25 such incidents recorded.

Vehicles Per Crash

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 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: 2021-01-01 through 2021-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2021-01-01 through 2021-12-31 (365 days)
  • Geographic scope: ohio, OH
  • Total crash records analyzed: 970
  • Total persons involved: 1,908
  • Total vehicles involved: 1,483

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: 2021." Published July 5, 2026. Reporting period: 2021-01-01 to 2021-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/2021-annual-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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Auglaize County, OH Crash Report — 2021 | ThatCarHitMe.com