Yearly Traffic Safety Analysis

2,957 CRASHES IN
CANTON, OH
2021

In Canton, Ohio, during 2021, there were 2957 total crashes, resulting in 10 fatalities and 1035 injuries. A notable finding is that 876 crashes, representing 29.6% of the total, were identified as hit-and-run incidents.

2,957

Total Crash Events

10

Persons Killed

1,035

Persons Injured

29.6%

Hit-and-Run Rate

Note: "Persons Killed" (10) counts individual fatalities across all crash events. "Fatal" in the severity table below (10) 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

876

Hit-and-Run Crashes — 2021

Hit-and-run incidents accounted for 876 crashes in Canton during 2021, representing 29.6% of all crashes. This status is based on the responding officer's initial determination at the crash scene.

Vulnerable Road User Casualties

In 2021, motorists experienced the highest number of severe outcomes, with 8 killed and 997 injured. Pedestrians also faced significant risks, with 2 killed and 38 injured. There were no reported fatalities or injuries among cyclists.

2

Pedestrians Killed

8

Motorists Killed

38

Pedestrians Injured

997

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

Crashes in Canton during 2021 peaked on Fridays with 524 incidents and at 3 PM with 226 incidents. Overall, the data indicates a higher frequency of crashes during daytime hours, with 1888 crashes occurring between 6 AM and 6 PM.

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 Canton during 2021, 74.8% (2213 incidents), resulted in no injury. Injury-causing crashes (serious, minor, or possible injury) accounted for 24.8% (734 incidents) of the total. There were 10 fatal crashes, and the total number of persons killed was 10.

Outcome by Severity (Crash Events)

Fatal10fatal crashes0.3%
Serious Injury50serious injury crashes1.7%
Minor Injury428minor injury crashes14.5%
Possible Injury256possible injury crashes8.7%
No Injury2,213no injury crashes74.8%

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

Most crashes occurred under favorable conditions, with 86.9% happening in clear or cloudy weather, 78.6% on dry road surfaces, and 65.6% during daylight hours. Conversely, 12.3% (364 crashes) occurred in adverse weather conditions, and 20.7% (613 crashes) happened on wet, snowy, or icy roads. Dark conditions, including lighted and unlighted roadways, accounted for 33.4% (989 crashes).

Weather

Clear1,520 (51.4%)
Cloudy1,051 (35.5%)
Rain265 (9.0%)
Snow89 (3.0%)
Other/Unknown22 (0.7%)
Sleet; Hail4 (0.1%)
Freezing Rain or Freezing Drizzle3 (0.1%)
Fog; Smog; Smoke3 (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

Daylight1,939 (65.6%)
Dark - Lighted Roadway716 (24.2%)
Dark - Roadway Not Lighted145 (4.9%)
Dawn/Dusk115 (3.9%)
Other/Unknown29 (1.0%)
Dark - Unknown Roadway Lighting13 (0.4%)

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

Road Surface

Dry2,323 (78.6%)
Wet473 (16.0%)
Snow71 (2.4%)
Water (Standing; Moving)36 (1.2%)
Ice28 (0.9%)
Other/Unknown21 (0.7%)
Sand; Mud; Dirt; Oil; Gravel3 (0.1%)
Slush2 (0.1%)

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

Vehicles & Demographics

The age group 26-34 was most represented among persons involved in crashes, with 1038 individuals, followed by 35-44 with 887 persons. Passenger Cars were the most frequently involved vehicle type, accounting for 2846 vehicles. Among specific makes, Chevrolet was most common with 861 vehicles, followed by Ford with 678 vehicles.

Top Vehicle Makes (5,511 vehicles)

1
OTHER/UNKNOWN1,701 (30.9%)
2
CHEVROLET861 (15.6%)
3
FORD678 (12.3%)
4
DODGE258 (4.7%)
5
TOYOTA218 (4%)
6
JEEP199 (3.6%)
7
NISSAN192 (3.5%)
8
HONDA180 (3.3%)
9
HYUNDAI167 (3%)
10
GMC133 (2.4%)

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

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

Sex Distribution (6,297 persons with recorded sex)

Male3,374 (53.6%)
Female2,923 (46.4%)

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, 86.4% (2554 incidents), occurred on the roadway itself. Crashes occurring off the travel lanes, including on the roadside, shoulder, or in the median, collectively accounted for 9.3% (274 incidents) of all crashes.

Crash Location (First Harmful Event)

"Other" combines 4 smaller categories (13 records): In Median (6), Other/Unknown (5), Railway grade crossing (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

The dominant traffic control condition at crash locations was 'No Control,' representing 65.4% of reported traffic control entries. Crashes at signalized locations accounted for 25.6% of entries. Overall, 73.9% of traffic control entries were at uncontrolled locations (No Control, Stop Sign, Yield Sign, Flasher).

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 leading contributing factor was 'Following too Close / ACDA' with 724 instances, representing 21.1% of reported factors. 'Failure to Yield' was the second most common factor with 435 instances (12.7%). 'Drove off Road' was also significant, contributing to 303 incidents (8.8%).

Driver Contributing Factor

1
Following too Close / ACDA724 (24.3%)
2
Failure to Yield435 (14.6%)
3
Other Improper Action325 (10.9%)
4
Drove off Road303 (10.2%)
5
Improper Lane Change204 (6.8%)
6
Ran Red Light162 (5.4%)
7
Not Discernible138 (4.6%)
8
Improper Turn134 (4.5%)
9
Improper Backing134 (4.5%)

Showing top 9 of 22 reported. 13 additional (421 total) not shown: Ran Stop Sign, Left of Center, Unsafe Speed, Improper Passing, Swerving to Avoid, Operating Defective Equipment, Improper Start From a Parked Position, Load shifting/Falling/Spilling, Improper Crossing, Wrong Way, Stopped or Parked Illegally, Lying in Roadway, Vision Obstruction.

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 vehicles totaled 160, comprising 5.4% of all crashes. Semi-Tractor Trailers were involved in 88 incidents, while Other Commercial Vehicles were involved in 72 incidents.

Vulnerable Road Users & Motorcycles

Crashes involving vulnerable road users (pedestrians and bicyclists) totaled 56, representing 1.9% of all crashes. Pedestrians were involved in 46 incidents, and bicyclists were involved in 10 incidents.

Animal-Involved Crashes

Animal-related crashes accounted for 49 incidents, or 1.7% of all crashes. Deer were involved in the vast majority of these incidents, with 47 reported cases.

Impairment (Alcohol / Drugs)

Impaired driving was a factor in 129 crashes, representing 4.4% of all crashes. Alcohol impairment was cited in 92 incidents, drug impairment in 26 incidents, and a combination of both in 11 incidents.

Driver Condition

Among reported driver conditions, 158 instances indicated an abnormal state, comprising 3.1% of all entries. The most frequent abnormal condition was 'Under the Influence of Medications / Drugs / Alcohol,' with 111 occurrences. Other conditions included 'Fell Asleep; Fainted; Fatigued; etc.' (15 instances) and 'Emotional' (13 instances).

Driver Condition

1
Apparently Normal4,166 (82.7%)
2
Other/Unknown712 (14.1%)
3
Under the Influence of Medications / Drugs / Alcohol111 (2.2%)
4
Fell Asleep; Fainted; Fatigued; etc.15 (0.3%)
5
Emotional (E.G.; Depressed; Angry; Disturbed)13 (0.3%)
6
Physical Impairment11 (0.2%)
7
Illness8 (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

A total of 108 drivers were reported as distracted, representing 2.2% of all driver distraction entries. The most common specific distraction was 'Other distraction inside the vehicle' with 44 instances. 'Other distraction outside the vehicle' accounted for 23 instances, and 'Other activity with an electronic device' was noted in 13 cases.

Driver Distraction

1
Not Distracted4,270 (85.1%)
2
Other/Unknown639 (12.7%)
3
Other distraction inside the vehicle44 (0.9%)
4
Other distraction outside the vehicle23 (0.5%)
5
Other activity with an electronic device13 (0.3%)
6
Manually operating an electronic communication device (texting; typing; dialing)12 (0.2%)
7
Passenger11 (0.2%)
8
Talking on hand-held communication device4 (0.1%)
9
Talking on hands-free communication device1

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

A total of 179 crashes, or 6.1% of the total, occurred on curves (Curve Level or Curve Grade). Crashes on grades (Straight Grade or Curve Grade) accounted for 534 incidents, representing 18.1% of all crashes.

Road Alignment

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 frequent pre-crash action was 'Straight Ahead,' accounting for 3171 instances or 57.9% of reported actions. 'Slowing or Stopped In Traffic' was the second most common, with 660 instances (12.1%). 'Making Left Turn' was also significant, with 481 instances (8.8%).

Pre-Crash Driver Action

1
Straight Ahead3,171 (57.5%)
2
Slowing or Stopped In Traffic660 (12%)
3
Making Left Turn481 (8.7%)
4
Parked394 (7.1%)
5
Changing Lanes197 (3.6%)
6
Making Right Turn154 (2.8%)
7
Backing152 (2.8%)
8
Negotiating a Curve102 (1.9%)
9
Entering Traffic Lane62 (1.1%)

Showing top 9 of 21 reported. 12 additional (138 total) not shown: Overtaking/Passing, Walking; Running; Jogging; Playing, Other/Unknown, Leaving Traffic Lane, Entering or Crossing Specified Location, Driverless, Other Non-Motorist, Working, Making U-Turn, Standing, Standing Outside Disabled Vehicle, 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 manner of collision was 'Not Collision Between Two Vehicles in Transport,' accounting for 31% (917 crashes). 'Angle' collisions were the second most frequent, making up 29.9% (885 crashes). 'Rear-end' collisions followed closely, representing 23.7% (702 crashes) of all incidents.

Manner of Collision

"Other" combines 1 smaller categories (15 records): Other/Unknown (15).

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 prevalent vehicle type involved in crashes, with 2846 instances. Sport Utility Vehicles (1242 instances) and Pickups (670 instances) were also frequently involved. Commercial vehicles, including Semi-Tractors, Single Unit Trucks, and Cargo Vans, collectively accounted for 293 vehicles, representing 5.3% of all vehicles involved.

Vehicle Type

"Other" combines 12 smaller categories (236 records): Cargo Van (62), Pedestrian/Skater (45), Bus (16+ Passengers) (37), Motorcycle 2 Wheeled (37), Other Vehicle (22), Van (9-15 Seats) (12), Bicycle (10), Moped or Motorized Bicycle (5), All Terrain Vehicle (ATV/UTV) (3), Motorcycle 3 Wheeled (1), Heavy Equipment (1), Wheelchair (Any type) (1).

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

Person Type

Drivers constituted the largest group of persons involved in crashes, with 5066 individuals, representing 72.6% of all persons. Occupants (passengers) made up 26.7% (1864 persons) of the total. Pedestrians accounted for 46 individuals, or 0.7% of all persons.

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 6976 persons involved in crashes, 10 individuals sustained fatal injuries, representing 0.1% of all persons. A total of 1035 persons sustained injuries of varying severity (serious, minor, or possible), accounting for 14.8% of all persons involved. The majority, 5759 persons (82.6%), sustained no injuries.

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 reported safety equipment uses, 'Shoulder and Lap Belt Used' was the most common, with 5245 instances. However, 'None Used' was reported for 456 individuals, representing 7.6% of those with specified safety equipment use. Child restraint systems were used by 212 individuals.

Occupant Safety Equipment

"Other" combines 4 smaller categories (36 records): Lap Belt Only Used (21), Helmet Used (12), Lighting - Pedestrian / Bicycle Only (2), Protective Pads Used (Elbow; knees; etc.) (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 majority of crashes, 2150 incidents, involved two vehicles. Single-vehicle crashes accounted for 619 incidents, representing 20.9% of all crashes. There were 22 crashes that involved four or more vehicles.

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 6, 2026

Data Coverage

  • Reporting period: 2021-01-01 through 2021-12-31 (365 days)
  • Geographic scope: Canton, OH
  • Total crash records analyzed: 2,957
  • Total persons involved: 6,976
  • Total vehicles involved: 5,511

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). "Canton, OH Crash Intelligence Report: 2021." Published July 6, 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/canton/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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