Yearly Traffic Safety Analysis

8,843 CRASHES IN
OHIO, OH
2021

In 2021, Stark County recorded 8,843 traffic crashes, resulting in 39 fatalities and 2,933 injuries. The data indicates that crashes occurred most frequently on Fridays, with a daily peak during the 4 p.m. hour. The most common types of collisions were single-vehicle incidents, rear-end collisions, and angle crashes, which collectively accounted for over 84% of all incidents.

8,843

Total Crash Events

39

Persons Killed

2,933

Persons Injured

17.9%

Hit-and-Run Rate

Note: "Persons Killed" (39) counts individual fatalities across all crash events. "Fatal" in the severity table below (33) 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

1,583

Hit-and-Run Crashes — 2021

A total of 1,583 crashes, representing 17.9% of all incidents in Stark County, were classified as hit-and-run events. This designation is based on the initial determination made by the responding law enforcement officer at the scene of the crash.

Vulnerable Road User Casualties

In 2021, motorists accounted for the vast majority of traffic casualties, with 36 individuals killed and 2,876 injured. Crashes also resulted in 3 pedestrian fatalities and 57 pedestrian injuries. No bicyclist fatalities or injuries were recorded in the dataset for this period.

3

Pedestrians Killed

36

Motorists Killed

57

Pedestrians Injured

2,876

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 Stark County show distinct daily and weekly patterns. Fridays were the most common day for crashes with 1,501 incidents, while Wednesdays (1,422) and Thursdays (1,333) also saw high volumes. The afternoon commute, particularly the 4 p.m. hour, was the peak time for crashes with 724 incidents. Overall, 5,916 crashes (66.9%) occurred during daylight hours, compared to 2,440 in dark conditions.

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, 6,742 or 76.2%, resulted in no injuries. Injury-related crashes accounted for 23.4% of the total, including 156 serious injury crashes, 1,088 minor injury crashes, and 824 with possible injuries. There were 33 fatal crashes, which resulted in a total of 39 fatalities, indicating that some incidents involved more than one death.

Severity is per crash event (most severe injury). 33 fatal crash events resulted in 39 persons killed.

Outcome by Severity (Crash Events)

Fatal33fatal crashes0.4%
Serious Injury156serious injury crashes1.8%
Minor Injury1,088minor injury crashes12.3%
Possible Injury824possible injury crashes9.3%
No Injury6,742no injury crashes76.2%

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

Most crashes in Stark County occurred in ideal driving conditions. Incidents on dry roads accounted for 7,011 crashes (79.3%), while 5,916 crashes (66.9%) happened in daylight. Clear weather was reported for 4,837 crashes (54.7%). In contrast, 1,410 crashes occurred on wet roads, and 770 incidents were recorded during rain.

Weather

Clear4,837 (54.7%)
Cloudy2,804 (31.7%)
Rain770 (8.7%)
Snow339 (3.8%)
Other/Unknown55 (0.6%)
Fog; Smog; Smoke13 (0.1%)
Freezing Rain or Freezing Drizzle9 (0.1%)
Sleet; Hail9 (0.1%)
Severe Crosswinds6 (0.1%)
Blowing Sand; Soil; Dirt; Snow1 (0.0%)

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

Lighting

Daylight5,916 (66.9%)
Dark - Lighted Roadway1,344 (15.2%)
Dark - Roadway Not Lighted1,096 (12.4%)
Dawn/Dusk404 (4.6%)
Other/Unknown55 (0.6%)
Dark - Unknown Roadway Lighting28 (0.3%)

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

Road Surface

Dry7,011 (79.3%)
Wet1,410 (15.9%)
Snow246 (2.8%)
Ice73 (0.8%)
Water (Standing; Moving)42 (0.5%)
Other/Unknown39 (0.4%)
Slush16 (0.2%)
Sand; Mud; Dirt; Oil; Gravel6 (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 20,264 people involved in crashes, the 26-34 age group was the most represented with 2,987 individuals, followed by the 16-20 age group with 2,682. Of the 15,978 vehicles involved, Ford (2,502), Chevrolet (2,453), and Honda (1,107) were the most frequent makes recorded in crash reports.

Top Vehicle Makes (15,978 vehicles)

1
FORD2,502 (15.7%)
2
CHEVROLET2,453 (15.4%)
3
OTHER/UNKNOWN1,806 (11.3%)
4
HONDA1,107 (6.9%)
5
TOYOTA881 (5.5%)
6
DODGE802 (5%)
7
JEEP728 (4.6%)
8
NISSAN630 (3.9%)
9
HYUNDAI608 (3.8%)
10
KIA518 (3.2%)

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

1,442 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (19,154 persons with recorded sex)

Male10,190 (53.2%)
Female8,964 (46.8%)

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, 7,510 incidents or 84.9%, had their first harmful event occur on the primary roadway. A notable portion, 1,213 crashes or 13.7%, were run-off-road events, with the first harmful event occurring on the roadside (693), shoulder (260), outside the trafficway (231), or in the median (29).

Crash Location (First Harmful Event)

"Other" combines 4 smaller categories (40 records): On ramp (19), Other/Unknown (16), Railway grade crossing (4), 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 shows that the largest number of vehicle involvements, 10,162, occurred where no traffic control device was present. Locations with traffic signals accounted for 4,262 vehicle involvements, and intersections with stop signs were the site of 1,358 vehicle involvements.

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 factor for drivers in crashes was 'Following too Close / ACDA,' noted in 2,246 instances. 'Failure to Yield' was the second most common factor with 1,445 instances, followed by 'Drove off Road' with 973 instances and 'Improper Lane Change' with 452 instances.

Driver Contributing Factor

1
Following too Close / ACDA2,246 (26.7%)
2
Failure to Yield1,445 (17.2%)
3
Drove off Road973 (11.6%)
4
Other Improper Action706 (8.4%)
5
Improper Lane Change452 (5.4%)
6
Improper Backing371 (4.4%)
7
Not Discernible338 (4%)
8
Ran Red Light323 (3.8%)
9
Improper Turn322 (3.8%)

Showing top 9 of 22 reported. 13 additional (1,230 total) not shown: Ran Stop Sign, Unsafe Speed, Left of Center, Improper Passing, Improper Start From a Parked Position, Swerving to Avoid, Operating Defective Equipment, Load shifting/Falling/Spilling, Improper Crossing, Wrong Way, Stopped or Parked Illegally, Vision Obstruction, Lying in Roadway.

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

Commercial / Truck Involvement

A total of 456 crashes involved a commercial truck, representing 5.2% of all crashes in Stark County. Of these, 241 involved 'Other Commercial Vehicles' and 215 involved a 'Semi-Tractor Trailer.'

Vulnerable Road Users & Motorcycles

Crashes involving vulnerable road users and motorcyclists included 130 incidents with motorcyclists, 72 with pedestrians, and 23 with bicyclists. Combined, there were 95 crashes involving pedestrians and bicyclists, who are among the most at-risk groups in traffic environments.

Animal-Involved Crashes

There were 542 crashes involving animals, accounting for 6.1% of all reported incidents. The great majority of these, 514 crashes, specifically involved collisions with deer. An additional 28 crashes involved other types of animals.

Impairment (Alcohol / Drugs)

Impairment was a factor in 471 crashes, or 5.3% of the total. Alcohol was the sole factor in 335 of these incidents, while drugs were involved in 84, and a combination of alcohol and drugs was noted in 52 cases.

Driver Condition

Among all drivers involved in crashes, 603 were noted as having a condition other than 'Apparently Normal.' The most common condition was being 'Under the Influence of Medications / Drugs / Alcohol,' which was recorded for 405 drivers. Other reported conditions included fatigue or falling asleep (81 drivers), emotional distress (47 drivers), and physical impairment (41 drivers).

Driver Condition

1
Apparently Normal13,188 (87.6%)
2
Other/Unknown1,264 (8.4%)
3
Under the Influence of Medications / Drugs / Alcohol405 (2.7%)
4
Fell Asleep; Fainted; Fatigued; etc.81 (0.5%)
5
Emotional (E.G.; Depressed; Angry; Disturbed)47 (0.3%)
6
Physical Impairment41 (0.3%)
7
Illness29 (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 15,144 drivers involved in crashes, a specific distraction was identified for 609 of them. The most common reported distractions were 'Other distraction inside the vehicle' (252 drivers) and 'Other distraction outside the vehicle' (194 drivers). Electronic device use was also a factor, with 57 drivers engaged in 'Other activity with an electronic device' and 54 'Manually operating an electronic communication device.'

Driver Distraction

1
Not Distracted13,047 (87.1%)
2
Other/Unknown1,315 (8.8%)
3
Other distraction inside the vehicle252 (1.7%)
4
Other distraction outside the vehicle194 (1.3%)
5
Other activity with an electronic device57 (0.4%)
6
Manually operating an electronic communication device (texting; typing; dialing)54 (0.4%)
7
Passenger31 (0.2%)
8
Talking on hand-held communication device16 (0.1%)
9
Talking on hands-free communication device5

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 alignment was straight and level for the majority of crashes (6,510 incidents). However, a significant number of crashes occurred on roads with a grade (1,993 incidents, or 22.5%) or on curves (603 incidents, or 6.8%). Crashes on a curved grade, which combines both risk factors, accounted for 265 incidents.

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 within Stark County shows a concentration in a few key areas. The city of Canton accounted for the largest share, with 2,957 crashes, representing 33.4% of the county's total. The townships of Jackson (1,332 crashes, 15.1%) and Plain (721 crashes, 8.2%) were the next most frequent locations for incidents.

Top Cities

1
Canton2,957 (33.4%)
2
Jackson1,332 (15.1%)
3
Plain721 (8.2%)
4
Perry617 (7%)
5
Massillon583 (6.6%)
6
Alliance405 (4.6%)
7
North Canton306 (3.5%)
8
Nimishillen182 (2.1%)
9
Lake164 (1.9%)

Showing top 9 of 35 reported. 26 additional (1,576 total) not shown: Lawrence, Lexington, Tuscarawas, Osnaburg, Uniontown, Bethlehem, Marlboro, Washington, Louisville, Paris, Pike, Sugar Creek, Hartville, Sandy, Canal Fulton, Minerva, Navarre, Brewster, East Canton, Waynesburg, Wilmot, Hills And Dales, Beach City, East Sparta, Magnolia, Perry Heights.

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 vehicles immediately before a collision shows that 'Straight Ahead' was the most common pre-crash maneuver, documented for 8,836 vehicles. The next most frequent actions were 'Slowing or Stopped In Traffic' with 2,640 vehicles and 'Making Left Turn' with 1,455 vehicles.

Pre-Crash Driver Action

1
Straight Ahead8,836 (55.3%)
2
Slowing or Stopped In Traffic2,640 (16.5%)
3
Making Left Turn1,455 (9.1%)
4
Parked746 (4.7%)
5
Changing Lanes474 (3%)
6
Making Right Turn455 (2.8%)
7
Backing441 (2.8%)
8
Negotiating a Curve279 (1.7%)
9
Entering Traffic Lane221 (1.4%)

Showing top 9 of 21 reported. 12 additional (431 total) not shown: Overtaking/Passing, Other/Unknown, Leaving Traffic Lane, Walking; Running; Jogging; Playing, Driverless, Making U-Turn, Entering or Crossing Specified Location, Other Non-Motorist, Working, 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 frequent crash pattern was 'Not Collision Between Two Vehicles in Transport,' which includes single-vehicle crashes, accounting for 2,746 incidents or 31.1% of the total. This was followed closely by 'Rear-end' collisions (2,352 crashes, 26.6%) and 'Angle' collisions (2,326 crashes, 26.3%).

Manner of Collision

"Other" combines 2 smaller categories (133 records): Other/Unknown (120), Rear-to-rear (13).

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, with 7,932 units, followed by Sport Utility Vehicles (4,087) and Pick-up trucks (2,037). Commercial vehicles, including semi-tractors, single-unit trucks, and cargo vans, were involved in a combined 644 instances.

Vehicle Type

"Other" combines 15 smaller categories (649 records): Cargo Van (209), Motorcycle 2 Wheeled (129), Pedestrian/Skater (71), Bus (16+ Passengers) (70), Other Vehicle (61), Van (9-15 Seats) (42), Bicycle (24), Heavy Equipment (14), All Terrain Vehicle (ATV/UTV) (7), Moped or Motorized Bicycle (5), Farm Equipment (5), Motorhome (4), Animal with Rider or Animal Drawn Vehicle (4), Motorcycle 3 Wheeled (3), 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

Of the 20,264 individuals involved in crashes, the majority were drivers (15,144 persons, or 74.7%). Vehicle occupants or passengers comprised the next largest group with 5,047 individuals (24.9%). A smaller but notable group consisted of 73 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 20,264 people involved in crashes, a total of 2,972 individuals sustained an injury or were killed, representing 14.7% of all participants. This includes 39 fatalities, 184 serious injuries, 1,477 minor injuries, and 1,272 possible injuries. The remaining 17,003 persons 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

Among individuals in vehicles, 16,438 were reported as using a shoulder and lap belt. However, 934 individuals were documented as using no safety equipment at the time of the crash. Additionally, various child restraint systems were in use, including 415 forward-facing seats and 135 booster seats.

Occupant Safety Equipment

"Other" combines 4 smaller categories (154 records): Lap Belt Only Used (92), Helmet Used (56), Lighting - Pedestrian / Bicycle Only (4), Protective Pads Used (Elbow; knees; etc.) (2).

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 are the most common type of crash, accounting for 6,091 incidents or 68.9% of the total. Single-vehicle crashes were the next most frequent, with 2,265 incidents (25.6%). Crashes involving three or more vehicles were less common, accounting for 487 incidents (5.5%).

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 7, 2026

Data Coverage

  • Reporting period: 2021-01-01 through 2021-12-31 (365 days)
  • Geographic scope: ohio, OH
  • Total crash records analyzed: 8,843
  • Total persons involved: 20,264
  • Total vehicles involved: 15,978

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 7, 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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Stark County, OH Crash Report — 2021 | ThatCarHitMe.com