Yearly Traffic Safety Analysis

1,136 CRASHES IN
OHIO, OH
2021

In 2021, Defiance County recorded 1,136 traffic crashes, resulting in 9 fatalities and 313 injuries. The majority of collisions, approximately 80.7%, resulted in no injuries. A significant finding from the data is the high volume of animal-related incidents, with 439 crashes involving animals, 419 of which were with deer, accounting for nearly 39% of all crashes in the county.

1,136

Total Crash Events

9

Persons Killed

313

Persons Injured

7.0%

Hit-and-Run Rate

Note: "Persons Killed" (9) counts individual fatalities across all crash events. "Fatal" in the severity table below (9) 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

79

Hit-and-Run Crashes — 2021

During this period, 79 crashes were classified as hit-and-run incidents, which constitutes 7% of all crashes in the county. This designation is based on the initial determination made by the responding law enforcement officer at the scene of the collision.

Vulnerable Road User Casualties

Of the individuals killed or seriously injured (KSI), motorists were the most affected group, with 8 fatalities and 313 injuries reported. One pedestrian fatality was also recorded during this period, with no pedestrian injuries. The data shows no cyclists were killed or injured in crashes in 2021.

1

Pedestrians Killed

8

Motorists Killed

0

Pedestrians Injured

313

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 frequencies in Defiance County peaked on Fridays, which saw 205 incidents, and during the 5 p.m. hour, with 100 crashes. Overall, more crashes occurred during daylight hours (601) than in dark conditions (451). The last two months of the year, November (130 crashes) and December (131 crashes), experienced the highest monthly crash volumes.

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

Out of 1,136 total crashes, 80.7% (917 incidents) were property-damage-only events with no reported injuries. Crashes involving injuries accounted for approximately 18.5% of the total, broken down into serious (21), minor (121), and possible (68) injury crashes. There were 9 fatal crashes, which is distinct from the total number of fatalities, as a single crash can result in multiple deaths.

Outcome by Severity (Crash Events)

Fatal9fatal crashes0.8%
Serious Injury21serious injury crashes1.8%
Minor Injury121minor injury crashes10.7%
Possible Injury68possible injury crashes6%
No Injury917no injury crashes80.7%

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 under ideal driving conditions. Specifically, 79.2% of incidents (900 crashes) happened on dry road surfaces, 67.2% (763 crashes) in clear weather, and 52.9% (601 crashes) during daylight hours. Crashes in adverse conditions included 88 in rain and 46 in snow, while 176 occurred on wet roads.

Weather

Clear763 (67.2%)
Cloudy213 (18.8%)
Rain88 (7.7%)
Snow46 (4.0%)
Fog; Smog; Smoke16 (1.4%)
Other/Unknown4 (0.4%)
Freezing Rain or Freezing Drizzle3 (0.3%)
Severe Crosswinds2 (0.2%)
Blowing Sand; Soil; Dirt; Snow1 (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

Daylight601 (52.9%)
Dark - Roadway Not Lighted363 (32.0%)
Dark - Lighted Roadway88 (7.7%)
Dawn/Dusk77 (6.8%)
Dark - Unknown Roadway Lighting4 (0.4%)
Other/Unknown3 (0.3%)

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

Road Surface

Dry900 (79.2%)
Wet176 (15.5%)
Snow33 (2.9%)
Ice22 (1.9%)
Sand; Mud; Dirt; Oil; Gravel3 (0.3%)
Other/Unknown2 (0.2%)

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

Vehicles & Demographics

Analysis of the 2,292 people involved in crashes shows the 35-44 age group was the most represented, with 328 individuals. Among the 1,670 vehicles involved, Chevrolet was the most frequent make with 456 vehicles, followed by Ford with 258 vehicles and Dodge with 134 vehicles. Passenger cars were the most common vehicle type, accounting for 741 of the vehicles in crashes.

Top Vehicle Makes (1,670 vehicles)

1
CHEVROLET456 (27.3%)
2
FORD258 (15.4%)
3
DODGE134 (8%)
4
GMC117 (7%)
5
BUICK74 (4.4%)
6
HONDA53 (3.2%)
7
JEEP51 (3.1%)
8
PONTIAC48 (2.9%)
9
KIA44 (2.6%)
10
CHRYSLER44 (2.6%)

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

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

Sex Distribution (2,234 persons with recorded sex)

Male1,187 (53.1%)
Female1,047 (46.9%)

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 vast majority of crashes, 982 out of 1,136, had their first harmful event occur on the primary roadway. However, a notable number of incidents were run-off-road events, with 80 crashes occurring on the roadside, 52 on the shoulder, and 3 in the median. Combined, these off-roadway crashes represent 11.9% of all collisions.

Crash Location (First Harmful Event)

"Other" combines 2 smaller categories (2 records): On ramp (1), Railway grade crossing (1).

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

Traffic Control Device

Of the 1,666 instances of traffic controls recorded for vehicles involved in crashes, the most common situation was the absence of any control, noted in 1,156 cases. Crashes at locations with traffic signals accounted for 355 instances, while those at intersections with stop signs accounted for 139 instances. A small number of incidents occurred at roundabouts (8) and locations with yield signs (7).

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

Among driver actions cited as contributing factors, 'Following too Close / ACDA' was the most common, attributed to 185 units. 'Drove off Road' was the second-leading factor with 107 instances, followed by 'Failure to Yield' with 103 instances. Other notable factors included 'Improper Backing' (50) and 'Improper Lane Change' (31).

Driver Contributing Factor

1
Following too Close / ACDA185 (27%)
2
Drove off Road107 (15.6%)
3
Failure to Yield103 (15.1%)
4
Improper Backing50 (7.3%)
5
Other Improper Action40 (5.8%)
6
Improper Lane Change31 (4.5%)
7
Unsafe Speed23 (3.4%)
8
Not Discernible22 (3.2%)
9
Improper Turn22 (3.2%)

Showing top 9 of 20 reported. 11 additional (101 total) not shown: Left of Center, Ran Stop Sign, Improper Passing, Ran Red Light, Swerving to Avoid, Load shifting/Falling/Spilling, Operating Defective Equipment, Stopped or Parked Illegally, Improper Start From a Parked Position, Improper Crossing, Vision Obstruction.

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

Commercial / Truck Involvement

There were 72 crashes involving commercial trucks. Of these, semi-tractor trailers were involved in 49 incidents, while other types of commercial vehicles were involved in the remaining 23 crashes.

Vulnerable Road Users & Motorcycles

A total of 27 crashes involved vulnerable road users or motorcyclists. Motorcyclists were involved in 21 of these incidents. The remaining crashes involved bicyclists (5) and pedestrians (1), for a combined total of 6 incidents involving vulnerable road users.

Animal-Involved Crashes

Crashes involving animals were a significant factor, totaling 439 incidents, which represents 38.6% of all crashes in the county. The overwhelming majority of these, 419 crashes, were collisions with deer. An additional 20 crashes involved other, unspecified types of animals.

Impairment (Alcohol / Drugs)

Impairment was a factor in 45 crashes, accounting for approximately 4% of all incidents. Among these, alcohol was the sole factor in 28 cases, drugs were the sole factor in 8 cases, and a combination of alcohol and drugs was noted in 9 cases.

Driver Condition

Out of 1,594 drivers with a recorded condition, 73 were noted as being in a state other than 'Apparently Normal'. This includes 36 drivers 'Under the Influence of Medications / Drugs / Alcohol,' 14 who 'Fell Asleep; Fainted; Fatigued,' and 9 who were experiencing an illness.

Driver Condition

1
Apparently Normal1,440 (91.3%)
2
Other/Unknown64 (4.1%)
3
Under the Influence of Medications / Drugs / Alcohol36 (2.3%)
4
Fell Asleep; Fainted; Fatigued; etc.14 (0.9%)
5
Illness9 (0.6%)
6
Emotional (E.G.; Depressed; Angry; Disturbed)8 (0.5%)
7
Physical Impairment6 (0.4%)

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 1,594 drivers, 85 were identified as being distracted. The most common sources of distraction were 'Other distraction inside the vehicle' (35 drivers) and 'Other distraction outside the vehicle' (20 drivers). Electronic devices were a factor for 24 drivers, including 12 who were manually operating a device like texting or dialing.

Driver Distraction

1
Not Distracted1,403 (89.6%)
2
Other/Unknown77 (4.9%)
3
Other distraction inside the vehicle35 (2.2%)
4
Other distraction outside the vehicle20 (1.3%)
5
Manually operating an electronic communication device (texting; typing; dialing)12 (0.8%)
6
Other activity with an electronic device10 (0.6%)
7
Passenger4 (0.3%)
8
Talking on hand-held communication device2 (0.1%)
9
Talking on hands-free communication device2 (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

The roadway geometry was straight and level for 982 of the 1,136 crashes. A total of 78 crashes (6.9%) occurred on curves, including 56 on level curves and 22 on graded curves. An additional 76 crashes took place on straight grades, bringing the total number of incidents on any graded roadway to 98 (8.6%).

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 the city of Defiance, which accounted for 508 incidents, or 44.7% of the county's total. The next highest volumes were in Hicksville with 92 crashes (8.1%) and Noble with 89 crashes (7.8%).

Top Cities

1
Defiance508 (44.7%)
2
Hicksville92 (8.1%)
3
Noble89 (7.8%)
4
Richland87 (7.7%)
5
Highland63 (5.5%)
6
Tiffin57 (5%)
7
Delaware55 (4.8%)
8
Washington45 (4%)
9
Milford42 (3.7%)

Showing top 9 of 14 reported. 5 additional (98 total) not shown: Farmer, Adams, Mark, Sherwood, Ney.

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

Pre-Crash Driver Action

Examining the actions of the 1,670 vehicles prior to collision, the most common maneuver was driving 'Straight Ahead,' which accounted for 1,085 vehicles (65%). The next most frequent pre-crash action was 'Slowing or Stopped In Traffic,' noted for 187 vehicles (11.2%), followed by 'Making Left Turn' for 98 vehicles.

Pre-Crash Driver Action

1
Straight Ahead1,085 (65%)
2
Slowing or Stopped In Traffic187 (11.2%)
3
Making Left Turn98 (5.9%)
4
Parked70 (4.2%)
5
Backing56 (3.4%)
6
Making Right Turn49 (2.9%)
7
Negotiating a Curve45 (2.7%)
8
Changing Lanes22 (1.3%)
9
Entering Traffic Lane17 (1%)

Showing top 9 of 14 reported. 5 additional (41 total) not shown: Other/Unknown, Overtaking/Passing, Leaving Traffic Lane, Driverless, Other Non-Motorist.

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

Manner of Collision

The most frequent type of collision was a single-vehicle crash, classified as 'Not Collision Between Two Vehicles in Transport,' which accounted for 671 incidents or 59.1% of all crashes. Among multi-vehicle crashes, angle collisions were the most common with 158 incidents (13.9%), followed closely by rear-end collisions with 155 incidents (13.6%).

Manner of Collision

"Other" combines 2 smaller categories (10 records): Head-on (9), Rear-to-rear (1).

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 type of vehicle involved in crashes, accounting for 741 of the 1,670 total vehicles (44.4%). Sport Utility Vehicles (SUVs) were the second most common with 408 vehicles (24.4%), followed by pickup trucks with 264 vehicles (15.8%).

Vehicle Type

"Other" combines 13 smaller categories (82 records): Motorcycle 2 Wheeled (20), Cargo Van (16), Other Vehicle (11), Van (9-15 Seats) (8), Bus (16+ Passengers) (7), Bicycle (5), All Terrain Vehicle (ATV/UTV) (4), Heavy Equipment (3), Motorhome (2), Motorcycle 3 Wheeled (2), Farm Equipment (2), Golf Cart (1), Pedestrian/Skater (1).

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

Person Type

Of the 2,292 individuals involved in crashes, the majority were drivers, who accounted for 1,594 people (69.6%). Passengers (occupants) made up the second-largest group with 697 individuals (30.4%). A single pedestrian was also involved in a crash during this period.

Person Type

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

Person Injury Severity

Across all 2,292 people involved in crashes, 1,957 (85.4%) sustained no injuries. A total of 313 individuals were injured, representing 13.7% of all persons involved. Nine people sustained fatal injuries, accounting for 0.4% of the total.

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

Among 2,292 vehicle occupants and other participants, 1,852 were recorded as using a shoulder and lap belt. However, 146 individuals, or 6.4% of the total, were recorded as using no safety equipment at all. Child restraints, including forward-facing, rear-facing, and booster seats, were used by 124 occupants.

Occupant Safety Equipment

"Other" combines 2 smaller categories (34 records): Lap Belt Only Used (25), 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

Single-vehicle crashes were the most common type, with 641 incidents (56.4% of the total). Two-vehicle collisions were also frequent, accounting for 462 crashes (40.7%). Crashes involving three or more vehicles were less common, with 33 such incidents recorded, none of which were noted as large-scale pile-ups.

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: 1,136
  • Total persons involved: 2,292
  • Total vehicles involved: 1,670

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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Defiance County, OH Crash Report — 2021 | ThatCarHitMe.com