Yearly Traffic Safety Analysis

483 CRASHES IN
OHIO, OH
2021

In 2021, Coshocton County recorded 483 traffic crashes, resulting in 9 fatalities and 124 injuries. A notable characteristic of these incidents is that a majority, 58% of all crashes, did not involve a collision between two vehicles in transport, often indicating single-vehicle events such as running off the road. The data further shows that 8 separate crashes accounted for the 9 fatalities.

483

Total Crash Events

9

Persons Killed

124

Persons Injured

2.5%

Hit-and-Run Rate

Note: "Persons Killed" (9) counts individual fatalities across all crash events. "Fatal" in the severity table below (8) 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

12

Hit-and-Run Crashes — 2021

A total of 12 hit-and-run incidents were reported, accounting for 2.5% 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

Motorists accounted for all 9 fatalities and 123 of the 124 total injuries recorded in 2021. One pedestrian sustained an injury. No cyclists were killed or injured during this period.

0

Pedestrians Killed

9

Motorists Killed

1

Pedestrians Injured

123

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 peaked on Fridays, which saw 92 incidents over the year. The single hour with the most crashes was the 5 p.m. evening commute hour, with 35 incidents. Overall, 255 crashes (52.8%) occurred during daylight hours, while 193 crashes (40%) took place in dark conditions, either on lighted or unlighted roadways.

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 vast majority of crashes, 387 incidents or 80.1%, resulted in no injuries. Injury-sustaining crashes accounted for 18.2% of the total, comprising 11 serious injury, 49 minor injury, and 28 possible injury events. A total of 8 crashes (1.7%) were classified as fatal, which resulted in 9 total fatalities.

Severity is per crash event (most severe injury). 8 fatal crash events resulted in 9 persons killed.

Outcome by Severity (Crash Events)

Fatal8fatal crashes1.7%
Serious Injury11serious injury crashes2.3%
Minor Injury49minor injury crashes10.1%
Possible Injury28possible injury crashes5.8%
No Injury387no injury crashes80.1%

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

A majority of crashes occurred in favorable conditions, with 57.3% (277 crashes) happening in clear weather and 73.9% (357 crashes) on dry road surfaces. Over half of all incidents (255 crashes) took place in daylight. Adverse conditions were also a factor, with 42 crashes occurring during rain, 37 in snow, and 71 on wet road surfaces.

Weather

Clear277 (57.3%)
Cloudy109 (22.6%)
Rain42 (8.7%)
Snow37 (7.7%)
Fog; Smog; Smoke12 (2.5%)
Other/Unknown2 (0.4%)
Freezing Rain or Freezing Drizzle2 (0.4%)
Severe Crosswinds1 (0.2%)
Sleet; Hail1 (0.2%)

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

Lighting

Daylight255 (52.8%)
Dark - Roadway Not Lighted159 (32.9%)
Dark - Lighted Roadway34 (7.0%)
Dawn/Dusk30 (6.2%)
Dark - Unknown Roadway Lighting4 (0.8%)
Other/Unknown1 (0.2%)

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

Road Surface

Dry357 (73.9%)
Wet71 (14.7%)
Ice31 (6.4%)
Snow20 (4.1%)
Sand; Mud; Dirt; Oil; Gravel4 (0.8%)

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

Vehicles & Demographics

Among the 832 people involved in crashes, the 26-34 age group was the most represented with 135 individuals, followed by the 65+ age group with 112 individuals. Of the 730 vehicles involved, the most frequent makes were Chevrolet (150 vehicles), Ford (136 vehicles), and Dodge (68 vehicles).

Top Vehicle Makes (730 vehicles)

1
CHEVROLET150 (20.5%)
2
FORD136 (18.6%)
3
DODGE68 (9.3%)
4
HONDA61 (8.4%)
5
JEEP52 (7.1%)
6
GMC33 (4.5%)
7
TOYOTA24 (3.3%)
8
NISSAN23 (3.2%)
9
CHRYSLER17 (2.3%)
10
SUBARU12 (1.6%)

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

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

Sex Distribution (799 persons with recorded sex)

Male449 (56.2%)
Female350 (43.8%)

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 first harmful event in most crashes, 357 incidents, occurred on the roadway itself. However, a significant number of crashes originated off the main travel lanes, with 57 occurring on the roadside, 38 on the shoulder, and 2 in the median. Combined, these 97 run-off-road incidents represent 20.1% of all crashes.

Crash Location (First Harmful Event)

"Other" combines 1 smaller categories (1 records): Driveway/Alley access (1).

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

Traffic Control Device

Data on vehicles involved in crashes shows that a majority of incidents occurred at locations without traffic controls. Of 729 vehicles with traffic control information, 562 (77.1%) were at locations with no control device. By comparison, 104 vehicles (14.3%) were involved in crashes at signalized intersections and 62 (8.5%) at locations with a stop sign.

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, 'Drove off Road' was the most common, listed for 66 vehicles. This was followed by 'Following too Close / ACDA' for 59 vehicles and 'Failure to Yield' for 56 vehicles. 'Unsafe Speed' was a factor for 32 vehicles.

Driver Contributing Factor

1
Drove off Road66 (18.1%)
2
Following too Close / ACDA59 (16.2%)
3
Failure to Yield56 (15.3%)
4
Other Improper Action50 (13.7%)
5
Unsafe Speed32 (8.8%)
6
Left of Center21 (5.8%)
7
Swerving to Avoid21 (5.8%)
8
Ran Red Light14 (3.8%)
9
Improper Backing13 (3.6%)

Showing top 9 of 18 reported. 9 additional (33 total) not shown: Improper Turn, Ran Stop Sign, Operating Defective Equipment, Improper Passing, Improper Lane Change, Vision Obstruction, Load shifting/Falling/Spilling, Not Discernible, Improper Start From a Parked Position.

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 21 incidents in 2021. Of these, 12 involved a semi-tractor trailer, while 9 involved other types of commercial vehicles.

Vulnerable Road Users & Motorcycles

A total of 10 crashes involved a motorcyclist or a vulnerable road user. Nine of these incidents involved a motorcyclist, and one involved a pedestrian. No crashes were recorded involving a bicyclist.

Animal-Involved Crashes

There were 88 crashes involving animals reported in the county. The vast majority of these, 84 incidents, specifically involved deer. The remaining 4 crashes were attributed to other, unspecified animals.

Impairment (Alcohol / Drugs)

Impairment was a factor in 34 crashes, representing 7% of all incidents. Of these, alcohol was suspected in 27 cases, drugs in 4 cases, and a combination of alcohol and drugs in 3 cases.

Driver Condition

Beyond impairment, other driver conditions were noted in a minority of cases. Of 684 drivers, 26 were identified as being under the influence, 8 were noted as having fallen asleep or being fatigued, and 7 had a physical impairment. An emotional state such as anger or distress was noted for 5 drivers.

Driver Condition

1
Apparently Normal615 (91%)
2
Under the Influence of Medications / Drugs / Alcohol26 (3.8%)
3
Other/Unknown13 (1.9%)
4
Fell Asleep; Fainted; Fatigued; etc.8 (1.2%)
5
Physical Impairment7 (1%)
6
Emotional (E.G.; Depressed; Angry; Disturbed)5 (0.7%)
7
Illness2 (0.3%)

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 684 drivers involved in crashes, a specific distraction was identified for 46 of them. The most common distraction was an unspecified factor inside the vehicle, noted for 31 drivers, followed by a distraction outside the vehicle for 12 drivers. Two drivers were documented as manually operating an electronic communication device.

Driver Distraction

1
Not Distracted570 (85.1%)
2
Other/Unknown54 (8.1%)
3
Other distraction inside the vehicle31 (4.6%)
4
Other distraction outside the vehicle12 (1.8%)
5
Manually operating an electronic communication device (texting; typing; dialing)2 (0.3%)
6
Passenger1 (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

While most crashes occurred on straight and level road segments (314 incidents), a notable number happened on more complex alignments. A total of 125 crashes (25.9%) occurred on curves, including 64 on graded curves and 61 on level curves. Road grade was a feature in 107 crashes, both on straight sections and curves.

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 Coshocton accounted for the largest share, with 169 crashes, or 35% of the county's total. The townships of Lafayette and Tuscarawas followed with 47 and 45 crashes, respectively.

Top Cities

1
Coshocton169 (35%)
2
Lafayette47 (9.7%)
3
Tuscarawas45 (9.3%)
4
Jackson29 (6%)
5
Keene23 (4.8%)
6
Franklin23 (4.8%)
7
Bethlehem22 (4.6%)
8
Jefferson17 (3.5%)
9
Newcastle16 (3.3%)

Showing top 9 of 23 reported. 14 additional (92 total) not shown: Oxford, White Eyes, Crawford, Linton, Virginia, Adams, Washington, Bedford, Perry, Mill Creek, Monroe, Clark, Tiverton, Pike.

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 actions of 730 vehicles prior to collision shows that the majority were engaged in basic driving maneuvers. A total of 489 vehicles were proceeding straight ahead, while 50 were negotiating a curve. Making a left turn was the pre-crash action for 49 vehicles.

Pre-Crash Driver Action

1
Straight Ahead489 (67%)
2
Negotiating a Curve50 (6.8%)
3
Making Left Turn49 (6.7%)
4
Parked43 (5.9%)
5
Slowing or Stopped In Traffic40 (5.5%)
6
Making Right Turn28 (3.8%)
7
Backing21 (2.9%)
8
Making U-Turn2 (0.3%)
9
Driverless2 (0.3%)

Showing top 9 of 15 reported. 6 additional (6 total) not shown: Other/Unknown, Overtaking/Passing, Leaving Traffic Lane, Entering Traffic Lane, Changing Lanes, Walking; Running; Jogging; Playing.

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 crash was a single-vehicle incident, categorized as 'Not Collision Between Two Vehicles in Transport,' which accounted for 280 crashes or 58% of the total. Among multi-vehicle crashes, rear-end collisions were the most common, with 72 incidents (14.9%), followed by angle collisions with 69 incidents (14.3%).

Manner of Collision

"Other" combines 2 smaller categories (6 records): Other/Unknown (5), 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 vehicle type involved in crashes, with 278 units, followed by Sport Utility Vehicles at 204 units and Pick-up trucks at 153 units. Combined, these three categories represent 86.3% of all 730 vehicles in crashes. Commercial vehicles, including semi-tractors and single unit trucks, were involved in 23 instances.

Vehicle Type

"Other" combines 10 smaller categories (25 records): Cargo Van (8), Van (9-15 Seats) (4), Other Vehicle (3), All Terrain Vehicle (ATV/UTV) (3), Bus (16+ Passengers) (2), Motorcycle 3 Wheeled (1), Heavy Equipment (1), Animal with Rider or Animal Drawn Vehicle (1), Unknown or Hit/Skip (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 832 individuals involved in crashes, the vast majority were drivers, accounting for 684 people (82.2%). An additional 147 people (17.7%) were vehicle occupants or passengers. One pedestrian was 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

Out of 832 people involved in crashes, 133 sustained some level of injury. This includes 9 individuals with fatal injuries (1.1% of all persons) and 124 with non-fatal injuries ranging from serious to possible (14.9%). The majority of people involved, 691 individuals or 83.1%, 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 831 individuals for whom safety equipment use was documented, 721 were recorded as using a shoulder and lap belt. However, 39 individuals were documented as using no safety equipment at all. An additional 14 people used only a shoulder belt.

Occupant Safety Equipment

"Other" combines 2 smaller categories (6 records): Child Restraint System - Rear Facing (4), Lap Belt Only Used (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 a near-even split between single-vehicle and multi-vehicle crashes. Single-vehicle crashes were slightly more common, accounting for 256 incidents or 53% of the total. Two-vehicle crashes numbered 210, representing 43.5% of all incidents, while crashes involving three or more vehicles were rare.

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: 483
  • Total persons involved: 832
  • Total vehicles involved: 730

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