Yearly Traffic Safety Analysis

2,375 CRASHES IN
OHIO, OH
2021

In 2021, Tuscarawas County recorded 2,375 motor vehicle crashes, resulting in 13 fatalities and 674 injuries. A notable characteristic of these incidents is the high proportion of single-vehicle crashes, which accounted for 49% of all collisions. These events, classified as 'Not Collision Between Two Vehicles in Transport', represent the most frequent crash type in the county.

2,375

Total Crash Events

13

Persons Killed

674

Persons Injured

10.3%

Hit-and-Run Rate

Note: "Persons Killed" (13) counts individual fatalities across all crash events. "Fatal" in the severity table below (11) 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

244

Hit-and-Run Crashes — 2021

During this period, 244 crashes were classified as hit-and-run incidents, constituting 10.3% of all crashes in the county. This classification is based on the initial determination made by the responding law enforcement officer at the scene.

Vulnerable Road User Casualties

Of the 13 fatalities and 674 injuries recorded, the vast majority involved motor vehicle occupants, with 13 motorists killed and 666 injured. Crashes involving pedestrians resulted in 8 injuries but no fatalities. No cyclists were reported killed or injured during this period.

0

Pedestrians Killed

13

Motorists Killed

8

Pedestrians Injured

666

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 peaked on Fridays, with 385 incidents recorded. The most frequent time for crashes was the 4 p.m. hour, which saw 180 events. Overall, a majority of collisions, 1,423 or 59.9%, 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, 78.9% (1,875 incidents), resulted in no injuries and were limited to property damage. Injury-involved crashes accounted for the remaining 21.1%, including 11 fatal crashes. These 11 fatal events led to a total of 13 individual fatalities.

Severity is per crash event (most severe injury). 11 fatal crash events resulted in 13 persons killed.

Outcome by Severity (Crash Events)

Fatal11fatal crashes0.5%
Serious Injury45serious injury crashes1.9%
Minor Injury294minor injury crashes12.4%
Possible Injury150possible injury crashes6.3%
No Injury1,875no injury crashes78.9%

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

A substantial majority of crashes happened in favorable conditions, with 82.3% (1,956) on dry roads and 59.9% (1,423) in daylight. Clear weather was reported for 1,354 crashes (57.0%). Adverse conditions were less frequent, with 310 crashes on wet roads and 162 incidents during rain.

Weather

Clear1,354 (57.0%)
Cloudy761 (32.0%)
Rain162 (6.8%)
Snow60 (2.5%)
Other/Unknown14 (0.6%)
Fog; Smog; Smoke14 (0.6%)
Sleet; Hail4 (0.2%)
Freezing Rain or Freezing Drizzle3 (0.1%)
Severe Crosswinds2 (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

Daylight1,423 (59.9%)
Dark - Roadway Not Lighted562 (23.7%)
Dark - Lighted Roadway257 (10.8%)
Dawn/Dusk119 (5.0%)
Other/Unknown8 (0.3%)
Dark - Unknown Roadway Lighting6 (0.3%)

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

Road Surface

Dry1,956 (82.4%)
Wet310 (13.1%)
Snow57 (2.4%)
Ice30 (1.3%)
Other/Unknown12 (0.5%)
Slush9 (0.4%)
Sand; Mud; Dirt; Oil; Gravel1 (0.0%)

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

Vehicles & Demographics

Among the 5,007 individuals involved in crashes, the 16-20 age group was the most represented with 729 people, followed closely by the 26-34 age group with 715 people. The most common vehicle makes involved in these incidents were Ford (643 vehicles), Chevrolet (631 vehicles), and Honda (405 vehicles).

Top Vehicle Makes (3,772 vehicles)

1
FORD643 (17%)
2
CHEVROLET631 (16.7%)
3
HONDA405 (10.7%)
4
TOYOTA231 (6.1%)
5
DODGE216 (5.7%)
6
NISSAN195 (5.2%)
7
JEEP170 (4.5%)
8
GMC129 (3.4%)
9
KIA104 (2.8%)
10
HYUNDAI97 (2.6%)

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

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

Sex Distribution (4,865 persons with recorded sex)

Male2,676 (55.0%)
Female2,189 (45.0%)

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, 1,785 incidents (75.2%), occurred on the roadway itself. However, a significant number of crashes were run-off-road events, with 421 (17.7%) happening on the roadside, 55 (2.3%) on the shoulder, and 22 (0.9%) in the median. Combined, these off-roadway locations accounted for 21.0% of all crashes.

Crash Location (First Harmful Event)

"Other" combines 3 smaller categories (11 records): Other/Unknown (7), Driveway/Alley access (3), 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

Analysis of the 3,772 vehicles involved shows that a majority of crashes occurred where no traffic control device was present, accounting for 2,748 units. Crashes at locations with traffic signals involved 711 vehicles, while those at intersections with stop signs involved 273 vehicles.

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 was 'Following too Close / ACDA', noted in 455 instances. This was followed by 'Unsafe Speed' with 341 instances and 'Failure to Yield' with 269 instances. These three factors represent the leading driver actions contributing to collisions.

Driver Contributing Factor

1
Following too Close / ACDA455 (23.6%)
2
Unsafe Speed341 (17.7%)
3
Failure to Yield269 (14%)
4
Other Improper Action158 (8.2%)
5
Drove off Road116 (6%)
6
Improper Backing115 (6%)
7
Improper Lane Change83 (4.3%)
8
Left of Center65 (3.4%)
9
Improper Turn60 (3.1%)

Showing top 9 of 22 reported. 13 additional (265 total) not shown: Improper Passing, Ran Red Light, Not Discernible, Operating Defective Equipment, Ran Stop Sign, Swerving to Avoid, Load shifting/Falling/Spilling, Improper Crossing, Improper Start From a Parked Position, Vision Obstruction, Opening Door into Roadway, 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 accounted for 136 incidents, or 5.7% of all crashes in the county. These were nearly evenly split between semi-tractor trailers, involved in 67 crashes, and other types of commercial vehicles, involved in 69 crashes.

Vulnerable Road Users & Motorcycles

A total of 72 crashes involved vulnerable road users or motorcyclists. Motorcyclists were involved in 54 of these crashes. The remaining incidents involved pedestrians and bicyclists, each accounting for 9 crashes.

Animal-Involved Crashes

Animal strikes were a significant factor, accounting for 460 crashes, or 19.4% of the total for the year. The vast majority of these incidents, 443 crashes, involved collisions with deer. Other animals were involved in the remaining 17 crashes.

Impairment (Alcohol / Drugs)

Impairment was a factor in 159 crashes, representing 6.7% of the total. Alcohol was the sole factor in 107 of these incidents, while drugs were the sole factor in 31. An additional 21 crashes involved a combination of both alcohol and drugs.

Driver Condition

Among the 3,577 drivers involved, 199 were noted to have a condition other than 'Apparently Normal'. The most common of these was being 'Under the Influence of Medications / Drugs / Alcohol', which was recorded for 129 drivers. An additional 37 drivers were noted as having 'Fell Asleep; Fainted; Fatigued'.

Driver Condition

1
Apparently Normal3,171 (90.3%)
2
Other/Unknown143 (4.1%)
3
Under the Influence of Medications / Drugs / Alcohol129 (3.7%)
4
Fell Asleep; Fainted; Fatigued; etc.37 (1.1%)
5
Physical Impairment15 (0.4%)
6
Emotional (E.G.; Depressed; Angry; Disturbed)13 (0.4%)
7
Illness5 (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 3,489 drivers with distraction data, 177 were identified as being distracted. The leading causes were 'Other distraction inside the vehicle' with 70 instances, followed by 'Other distraction outside the vehicle' with 53 instances. Electronic device use was cited in 47 cases, including 19 for manual operation like texting.

Driver Distraction

1
Not Distracted3,168 (90.9%)
2
Other/Unknown138 (4%)
3
Other distraction inside the vehicle70 (2%)
4
Other distraction outside the vehicle53 (1.5%)
5
Other activity with an electronic device25 (0.7%)
6
Manually operating an electronic communication device (texting; typing; dialing)19 (0.5%)
7
Passenger8 (0.2%)
8
Talking on hand-held communication device3 (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 at crash locations was predominantly straight and level, accounting for 1,695 crashes (71.4%). However, crashes on grades (straight or curved) occurred in 541 instances (22.8%), and crashes on curves (level or graded) occurred in 309 instances (13.0%).

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, with New Philadelphia recording the highest number at 544 crashes (22.9% of the county total). Dover followed with 483 crashes (20.3%), and the township of Goshen had 176 crashes (7.4%).

Top Cities

1
New Philadelphia544 (22.9%)
2
Dover483 (20.3%)
3
Goshen176 (7.4%)
4
Lawrence129 (5.4%)
5
Uhrichsville86 (3.6%)
6
Mill85 (3.6%)
7
Franklin84 (3.5%)
8
Salem60 (2.5%)
9
Strasburg58 (2.4%)

Showing top 9 of 39 reported. 30 additional (670 total) not shown: Sugarcreek, Oxford, Sandy, York, Wayne, Warren, Warwick, Union, Newcomerstown, Jefferson, Clay, Sugar Creek, Fairfield, Rush, Auburn, Bolivar, Midvale, Bucks, Perry, Mineral City, Baltic, Washington, Gnadenhutten, Port Washington, Zoar, Tuscarawas, Stone Creek, Roswell, Parral, Barnhill.

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 the 3,772 vehicles involved shows that the most common pre-crash action was driving 'Straight Ahead', which was the case for 2,109 vehicles. The second most common action was 'Slowing or Stopped In Traffic', recorded for 543 vehicles. 'Making Left Turn' was the third most frequent action, noted for 271 vehicles.

Pre-Crash Driver Action

1
Straight Ahead2,109 (55.9%)
2
Slowing or Stopped In Traffic543 (14.4%)
3
Making Left Turn271 (7.2%)
4
Negotiating a Curve205 (5.4%)
5
Parked174 (4.6%)
6
Backing133 (3.5%)
7
Making Right Turn98 (2.6%)
8
Changing Lanes74 (2%)
9
Entering Traffic Lane46 (1.2%)

Showing top 9 of 19 reported. 10 additional (119 total) not shown: Overtaking/Passing, Other/Unknown, Leaving Traffic Lane, Driverless, Making U-Turn, Walking; Running; Jogging; Playing, Standing, Entering or Crossing Specified Location, 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 1,163 crashes or 49.0% of the total. Among multi-vehicle crashes, rear-end collisions were the most frequent, with 451 incidents representing 19.0% of all crashes.

Manner of Collision

"Other" combines 2 smaller categories (24 records): Other/Unknown (22), 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 1,655 of the 3,772 vehicles. Sport Utility Vehicles (994) and Pick up trucks (649) were the next most frequent. Combined, these three personal vehicle types constituted 82.2% of all vehicles in crashes.

Vehicle Type

"Other" combines 13 smaller categories (141 records): Single Unit Truck (45), Cargo Van (31), Van (9-15 Seats) (16), Pedestrian/Skater (11), Bicycle (9), Other Vehicle (7), Animal with Rider or Animal Drawn Vehicle (5), Bus (16+ Passengers) (5), All Terrain Vehicle (ATV/UTV) (4), Heavy Equipment (3), Moped or Motorized Bicycle (2), Motorcycle 3 Wheeled (2), Farm Equipment (1).

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

Person Type

A total of 5,007 individuals were involved in crashes during this period. The majority were drivers, accounting for 3,577 people (71.4%), followed by vehicle occupants (passengers), with 1,418 people (28.3%). A small fraction, 12 individuals, were 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

Of the 5,007 people involved in crashes, 687 sustained some level of injury or were fatally injured, representing 13.7% of all participants. This includes 13 fatalities, 53 serious injuries, and 621 other minor or possible injuries. The vast majority, 4,223 people (84.3%), 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 the 4,995 vehicle occupants where safety equipment use was applicable, 3,674 were recorded as using a shoulder and lap belt. However, 242 individuals, or 4.8% of occupants, were documented as using no safety equipment at all. A further 803 were recorded as 'Other/Unknown'.

Occupant Safety Equipment

"Other" combines 3 smaller categories (38 records): Shoulder Belt Only Used (24), Lap Belt Only Used (13), Lighting - Pedestrian / Bicycle Only (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 2,375 crashes predominantly involved either two vehicles (1,239 crashes, or 52.2%) or a single vehicle (1,064 crashes, or 44.8%). Multi-vehicle collisions involving three or more vehicles were less common, accounting for 72 incidents, or 3.0% of the total.

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: ohio, OH
  • Total crash records analyzed: 2,375
  • Total persons involved: 5,007
  • Total vehicles involved: 3,772

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 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/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

ThatCarHitMe.com · An Injuria.ai Company

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