Yearly Traffic Safety Analysis

1,828 CRASHES IN
OHIO, OH
2021

In 2021, Wayne County recorded 1,828 traffic crashes, resulting in 19 fatalities and 758 injuries. A significant portion of these incidents, 46.1%, were single-vehicle crashes classified as 'Not Collision Between Two Vehicles in Transport', making it the most common crash type.

1,828

Total Crash Events

19

Persons Killed

758

Persons Injured

6.9%

Hit-and-Run Rate

Note: "Persons Killed" (19) counts individual fatalities across all crash events. "Fatal" in the severity table below (16) 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

127

Hit-and-Run Crashes — 2021

Based on the initial determination of responding officers, 127 crashes in 2021 involved a hit-and-run. These incidents accounted for 6.9% of all crashes in Wayne County during this period.

Vulnerable Road User Casualties

In 2021, motorists accounted for all 19 traffic fatalities and 743 of the 758 total injuries in Wayne County. While no pedestrians or cyclists were killed, 15 pedestrians were injured in crashes. There were no cyclist injuries reported in the data for this period.

0

Pedestrians Killed

19

Motorists Killed

15

Pedestrians Injured

743

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 occurrences in Wayne County peaked on Fridays, with 301 incidents, and during the 3 p.m. hour, which saw 167 crashes. The data shows a strong daytime pattern, with 1,216 crashes (66.5%) occurring in daylight conditions. The months with the highest crash volumes were October (203) and November (197).

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

Of the 1,828 crashes, 70.1% resulted in no injuries, being classified as property-damage-only events. The remaining 29.1% involved at least a possible injury. There were 16 distinct fatal crashes, which resulted in a total of 19 fatalities, indicating some crashes involved multiple deaths.

Severity is per crash event (most severe injury). 16 fatal crash events resulted in 19 persons killed.

Outcome by Severity (Crash Events)

Fatal16fatal crashes0.9%
Serious Injury43serious injury crashes2.4%
Minor Injury321minor injury crashes17.6%
Possible Injury167possible injury crashes9.1%
No Injury1,281no injury crashes70.1%

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 74.3% on dry roads, 66.5% in daylight, and 56.6% in clear weather. Adverse weather was a factor in a smaller subset of incidents, with 173 crashes occurring during rain and 104 during snow. Similarly, 338 crashes happened on wet road surfaces.

Weather

Clear1,034 (56.6%)
Cloudy491 (26.9%)
Rain173 (9.5%)
Snow104 (5.7%)
Fog; Smog; Smoke17 (0.9%)
Other/Unknown5 (0.3%)
Sleet; Hail2 (0.1%)
Freezing Rain or Freezing Drizzle1 (0.1%)
Severe Crosswinds1 (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

Daylight1,216 (66.5%)
Dark - Roadway Not Lighted397 (21.7%)
Dark - Lighted Roadway120 (6.6%)
Dawn/Dusk88 (4.8%)
Other/Unknown4 (0.2%)
Dark - Unknown Roadway Lighting3 (0.2%)

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

Road Surface

Dry1,358 (74.3%)
Wet338 (18.5%)
Snow90 (4.9%)
Ice27 (1.5%)
Slush11 (0.6%)
Water (Standing; Moving)3 (0.2%)
Other/Unknown1 (0.1%)

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

Vehicles & Demographics

Among the 3,833 people involved in crashes, the most represented age groups were 16-20 years old (562 individuals) and 26-34 years old (549 individuals). Of the 2,972 vehicles involved, the most frequent makes were Chevrolet (515), Ford (498), Honda (231), and Toyota (213).

Top Vehicle Makes (2,972 vehicles)

1
CHEVROLET515 (17.3%)
2
FORD498 (16.8%)
3
HONDA231 (7.8%)
4
TOYOTA213 (7.2%)
5
DODGE186 (6.3%)
6
JEEP116 (3.9%)
7
NISSAN106 (3.6%)
8
GMC95 (3.2%)
9
KIA89 (3%)
10
CHRYSLER73 (2.5%)

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

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

Sex Distribution (3,756 persons with recorded sex)

Male2,137 (56.9%)
Female1,619 (43.1%)

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 in most crashes (1,320) occurred on the primary roadway. However, a notable number of incidents were run-off-road events, with a combined 486 crashes originating on the roadside (371), shoulder (62), in the median (24), or outside the trafficway (29). This represents 26.6% of all crashes.

Crash Location (First Harmful Event)

"Other" combines 4 smaller categories (9 records): Railway grade crossing (4), Other/Unknown (3), On ramp (1), Bike Lane (1).

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

Traffic Control Device

The vast majority of vehicles involved in crashes were at locations with no traffic control device present (2,219 units). Crashes at signalized intersections involved 383 vehicles, while those at intersections with stop signs involved 324 vehicles. A small number of vehicles were involved in crashes at locations with yield signs (12) or roundabouts (8).

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 commonly cited contributing factors for drivers were 'Following too Close / ACDA' (341 units), 'Failure to Yield' (287 units), and 'Drove off Road' (277 units). Unsafe speed was also a significant factor, cited for 158 vehicle units involved in crashes.

Driver Contributing Factor

1
Following too Close / ACDA341 (20.6%)
2
Failure to Yield287 (17.4%)
3
Drove off Road277 (16.8%)
4
Unsafe Speed158 (9.6%)
5
Left of Center91 (5.5%)
6
Other Improper Action76 (4.6%)
7
Improper Turn62 (3.8%)
8
Improper Backing58 (3.5%)
9
Improper Passing51 (3.1%)

Showing top 9 of 21 reported. 12 additional (252 total) not shown: Ran Red Light, Ran Stop Sign, Improper Lane Change, Swerving to Avoid, Not Discernible, Operating Defective Equipment, Improper Start From a Parked Position, Load shifting/Falling/Spilling, Improper Crossing, Vision Obstruction, Stopped or Parked Illegally, Wrong Way.

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 were notable, with 211 such incidents recorded. Of these, 124 involved a semi-tractor trailer and 87 involved other types of commercial vehicles. These crashes represent approximately 11.5% of all incidents in the county.

Vulnerable Road Users & Motorcycles

A total of 50 crashes involved vulnerable road users or motorcyclists. This included 29 crashes with motorcyclists, 15 with pedestrians, and 6 with bicyclists. Combined, crashes involving pedestrians and bicyclists accounted for 21 incidents, or about 1.1% of all crashes.

Animal-Involved Crashes

Animal strikes accounted for 167 crashes, representing 9.1% of the total for the year. The vast majority of these incidents, 150 crashes, involved collisions with deer. An additional 17 crashes were attributed to collisions with other unspecified animals.

Impairment (Alcohol / Drugs)

Impairment was a factor in 89 crashes, accounting for 4.9% of all incidents. Among these, alcohol was suspected in 68 cases, drugs in 12 cases, and a combination of alcohol and drugs in 9 cases. These figures represent a minimum, as impairment can be under-reported.

Driver Condition

While most drivers (2,645) were listed as 'Apparently Normal', a number of adverse conditions were noted. Eighty-six drivers were recorded as being under the influence of medications, drugs, or alcohol. An additional 22 drivers were reported to have fallen asleep, fainted, or been fatigued, and 9 had a physical impairment.

Driver Condition

1
Apparently Normal2,645 (93.3%)
2
Under the Influence of Medications / Drugs / Alcohol86 (3%)
3
Other/Unknown67 (2.4%)
4
Fell Asleep; Fainted; Fatigued; etc.22 (0.8%)
5
Physical Impairment9 (0.3%)
6
Emotional (E.G.; Depressed; Angry; Disturbed)3 (0.1%)
7
Illness2 (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

Driver Distraction

Among the 2,870 drivers involved in crashes, 132 were noted as being distracted. The most common sources of distraction were 'Other distraction inside the vehicle' (57 drivers) and 'Other distraction outside the vehicle' (35 drivers). Electronic devices were a factor for 37 drivers, including 11 who were manually operating a device.

Driver Distraction

1
Not Distracted2,612 (92.7%)
2
Other/Unknown75 (2.7%)
3
Other distraction inside the vehicle57 (2%)
4
Other distraction outside the vehicle35 (1.2%)
5
Other activity with an electronic device22 (0.8%)
6
Manually operating an electronic communication device (texting; typing; dialing)11 (0.4%)
7
Talking on hand-held communication device4 (0.1%)
8
Passenger3 (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 majority of crashes (1,214) occurred on straight, level road segments. However, roadway geometry played a role in a significant number of incidents. Crashes on grades (both straight and curved) accounted for 530 incidents, or 29% of the total, while crashes on curves accounted for 151 incidents, or 8.3% of the total.

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 Wooster accounted for the largest share with 507 crashes, representing 27.7% of the county's total. Other significant locations included the townships of Chippewa (149 crashes), Congress (122 crashes), and Green (116 crashes).

Top Cities

1
Wooster507 (27.7%)
2
Chippewa149 (8.2%)
3
Congress122 (6.7%)
4
Green116 (6.3%)
5
East Union103 (5.6%)
6
Orrville94 (5.1%)
7
Sugar Creek84 (4.6%)
8
Franklin67 (3.7%)
9
Milton66 (3.6%)

Showing top 9 of 29 reported. 20 additional (520 total) not shown: Canaan, Baughman, Plain, Wayne, Chester, Rittman, Paint, Clinton, Salt Creek, Smithville, West Salem, Creston, Fredericksburg, Dalton, Burbank, Mount Eaton, Marshallville, Doylestown, Shreve, Apple Creek.

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

Pre-Crash Driver Action

Analysis of driver actions prior to impact shows that the majority of vehicles (1,893 units, or 63.7%) were moving straight ahead. The next most common pre-crash actions were slowing or stopping in traffic, which applied to 346 vehicles, and making a left turn, which involved 212 vehicles.

Pre-Crash Driver Action

1
Straight Ahead1,893 (63.7%)
2
Slowing or Stopped In Traffic346 (11.6%)
3
Making Left Turn212 (7.1%)
4
Negotiating a Curve98 (3.3%)
5
Parked76 (2.6%)
6
Making Right Turn75 (2.5%)
7
Backing67 (2.3%)
8
Overtaking/Passing58 (2%)
9
Changing Lanes39 (1.3%)

Showing top 9 of 19 reported. 10 additional (108 total) not shown: Entering Traffic Lane, Other/Unknown, Leaving Traffic Lane, Walking; Running; Jogging; Playing, Driverless, Making U-Turn, Entering or Crossing Specified Location, Standing, Other Non-Motorist, Approaching or Leaving Vehicle.

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

Manner of Collision

The most common type of crash was a single-vehicle incident, categorized as 'Not Collision Between Two Vehicles in Transport,' which accounted for 842 crashes or 46.1% of the total. Among multi-vehicle collisions, angle crashes were the most frequent type, with 402 incidents (22%), followed by rear-end collisions with 338 incidents (18.5%).

Manner of Collision

"Other" combines 2 smaller categories (21 records): Other/Unknown (19), Rear-to-rear (2).

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 1,275 of the 2,972 vehicles. Sport Utility Vehicles (646) and Pick up trucks (516) were the next most frequent. Commercial vehicles, including semi-tractors and single-unit trucks, were involved in 191 instances.

Vehicle Type

"Other" combines 15 smaller categories (162 records): Animal with Rider or Animal Drawn Vehicle (28), Motorcycle 2 Wheeled (28), Unknown or Hit/Skip (26), Van (9-15 Seats) (16), Pedestrian/Skater (15), Other Vehicle (11), Farm Equipment (10), Bicycle (6), Heavy Equipment (6), All Terrain Vehicle (ATV/UTV) (4), Bus (16+ Passengers) (4), Motorcycle 3 Wheeled (3), Train (3), Limo (Livery Vehicle) (1), Moped or Motorized Bicycle (1).

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

Person Type

Of the 3,833 individuals involved in crashes, the majority were drivers (2,870 people, or 74.9%). Passengers, classified as occupants, accounted for another 948 individuals (24.7%). A smaller number of non-motorists were involved, including 15 pedestrians.

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 3,833 people involved in crashes, 777 individuals sustained some level of injury or were killed, representing 20.3% of all participants. This includes 19 fatalities, 61 serious injuries, 452 minor injuries, and 245 possible injuries. The remaining 3,013 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 documented for many participants, with 3,196 individuals reported as using a shoulder and lap belt. A notable 239 individuals were recorded as using no safety equipment at all. Additionally, various child restraint systems were in use, including 63 forward-facing seats and 30 booster seats.

Occupant Safety Equipment

"Other" combines 3 smaller categories (40 records): Helmet Used (21), Lap Belt Only Used (18), Reflective Clothing (1).

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

The data shows that two-vehicle collisions were the most common scenario, accounting for 1,020 crashes. Single-vehicle crashes were also frequent, with 747 incidents, making up 40.9% of the total. Crashes involving three or more vehicles were less common, with 59 three-vehicle crashes and 2 four-vehicle crashes 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: 1,828
  • Total persons involved: 3,833
  • Total vehicles involved: 2,972

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