Yearly Traffic Safety Analysis

169 CRASHES IN
COSHOCTON, OH
2021

In 2021, Coshocton, OH experienced a total of 169 crashes, resulting in 1 fatality and 32 injuries. A significant majority of these crashes, 83.4%, resulted in no reported injuries. The data also indicates that the highest number of crashes occurred on Fridays and during the 5 p.m. hour.

169

Total Crash Events

1

Persons Killed

32

Persons Injured

4.7%

Hit-and-Run Rate

Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) 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

8

Hit-and-Run Crashes — 2021

There were 8 hit-and-run crashes in Coshocton during 2021, accounting for 4.7% of all crashes. It is important to note that hit-and-run status is based on the initial determination by the responding officer.

Vulnerable Road User Casualties

In 2021, there was 1 motorist killed and 31 motorists injured in crashes. Additionally, 1 pedestrian was injured, while no pedestrians were killed. There were no cyclists killed or injured during this period.

0

Pedestrians Killed

1

Motorists Killed

1

Pedestrians Injured

31

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 data for 2021 shows that Fridays were the peak day for crashes, with 36 incidents recorded. The most frequent hour for crashes was 5 p.m., with 16 occurrences. The majority of crashes, 116 out of 169, occurred during daylight hours, while 43 crashes happened in dark conditions (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

Of the 169 crashes in 2021, 83.4% (141 crashes) resulted in no injuries. Injury-involved crashes accounted for 16.6% (28 crashes), with 3 serious injuries, 14 minor injuries, and 10 possible injuries. There was 1 fatal crash, which resulted in 1 fatality.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.6%
Serious Injury3serious injury crashes1.8%
Minor Injury14minor injury crashes8.3%
Possible Injury10possible injury crashes5.9%
No Injury141no injury crashes83.4%

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 in 2021 occurred under clear weather conditions (112 crashes), on dry road surfaces (138 crashes), and during daylight hours (116 crashes). Adverse conditions also contributed to crashes, with 15 incidents occurring in rain, 9 in snow, and 1 in freezing rain. Additionally, 19 crashes occurred on wet roads, 7 on ice, and 5 on snowy surfaces.

Weather

Clear112 (66.3%)
Cloudy31 (18.3%)
Rain15 (8.9%)
Snow9 (5.3%)
Freezing Rain or Freezing Drizzle1 (0.6%)
Other/Unknown1 (0.6%)

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

Lighting

Daylight116 (68.6%)
Dark - Lighted Roadway25 (14.8%)
Dark - Roadway Not Lighted16 (9.5%)
Dawn/Dusk10 (5.9%)
Dark - Unknown Roadway Lighting2 (1.2%)

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

Road Surface

Dry138 (81.7%)
Wet19 (11.2%)
Ice7 (4.1%)
Snow5 (3.0%)

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 35-44 was most represented among persons involved in crashes, with 60 individuals, followed by those 65 and older (57 individuals) and 55-64 (50 individuals). Passenger Cars were the most frequently involved vehicle type (112), followed by Sport Utility Vehicles (101) and Pickups (58). Chevrolet, Ford, and Dodge were the top three most common vehicle makes involved in crashes.

Top Vehicle Makes (317 vehicles)

1
CHEVROLET60 (18.9%)
2
FORD50 (15.8%)
3
DODGE38 (12%)
4
JEEP27 (8.5%)
5
HONDA25 (7.9%)
6
NISSAN14 (4.4%)
7
GMC11 (3.5%)
8
TOYOTA9 (2.8%)
9
CHRYSLER8 (2.5%)
10
BUICK7 (2.2%)

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

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

Sex Distribution (317 persons with recorded sex)

Female159 (50.2%)
Male158 (49.8%)

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 majority of crashes, 143 out of 169, had their first harmful event occur on the roadway. A total of 17 crashes, representing 10.1% of all incidents, occurred off the main travel lanes, specifically on the roadside (9), on the shoulder (7), or in the median (1).

Crash Location (First Harmful Event)

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

Traffic Control Device

Among the units involved in crashes, 202 were at locations with no traffic control present. Traffic signals were present for 70 units, and stop signs were present for 44 units. This indicates that a substantial number of crash-involved units were at uncontrolled intersections or road segments.

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

Failure to Yield was the most frequently reported contributing factor, associated with 38 units, representing 24.1% of identified factors. Following too Close / ACDA was linked to 35 units (22.2%), and Other Improper Action to 17 units (10.8%). Drove off Road (13 units) and Ran Red Light (12 units) were also notable contributing factors.

Driver Contributing Factor

1
Failure to Yield38 (24.1%)
2
Following too Close / ACDA35 (22.2%)
3
Other Improper Action17 (10.8%)
4
Drove off Road13 (8.2%)
5
Ran Red Light12 (7.6%)
6
Improper Backing10 (6.3%)
7
Left of Center7 (4.4%)
8
Ran Stop Sign6 (3.8%)
9
Improper Turn6 (3.8%)

Showing top 9 of 15 reported. 6 additional (14 total) not shown: Swerving to Avoid, Operating Defective Equipment, Vision Obstruction, Not Discernible, Improper Lane Change, Improper Passing.

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

Impairment (Alcohol / Drugs)

Impairment was a factor in 12 crash incidents, accounting for 7.1% of all crashes. Alcohol was identified in 9 incidents, while drugs were a factor in 3 incidents.

Driver Condition

Eight drivers were reported as being Under the Influence of Medications / Drugs / Alcohol, while 4 drivers were noted as being in an Emotional state. Another 4 drivers were reported with Physical Impairment at the time of their crash. These 16 abnormal conditions represent 5.7% of all reported driver conditions.

Driver Condition

1
Apparently Normal255 (92.4%)
2
Under the Influence of Medications / Drugs / Alcohol8 (2.9%)
3
Other/Unknown5 (1.8%)
4
Emotional (E.G.; Depressed; Angry; Disturbed)4 (1.4%)
5
Physical Impairment4 (1.4%)

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 drivers, 16 were distracted by something inside the vehicle, and 8 were distracted by something outside the vehicle. Additionally, 1 driver was distracted by manually operating an electronic communication device. These 25 instances of reported distraction represent 8.8% of all drivers.

Driver Distraction

1
Not Distracted217 (78.9%)
2
Other/Unknown33 (12%)
3
Other distraction inside the vehicle16 (5.8%)
4
Other distraction outside the vehicle8 (2.9%)
5
Manually operating an electronic communication device (texting; typing; dialing)1 (0.4%)

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, 145 out of 169, occurred on straight, level road alignments. Crashes occurring on curves (Curve Grade or Curve Level) totaled 14, representing 8.3% of all crashes. Crashes on grades (Straight Grade or Curve Grade) totaled 19, accounting for 11.2% of all incidents.

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 common pre-crash action was 'Straight Ahead,' accounting for 192 instances, or 60.8% of all reported actions. 'Making Left Turn' and 'Parked' were also significant, each accounting for 32 instances, or 10.1% of reported actions.

Pre-Crash Driver Action

1
Straight Ahead192 (60.6%)
2
Making Left Turn32 (10.1%)
3
Parked32 (10.1%)
4
Slowing or Stopped In Traffic20 (6.3%)
5
Making Right Turn16 (5%)
6
Backing15 (4.7%)
7
Negotiating a Curve5 (1.6%)
8
Other/Unknown1 (0.3%)
9
Making U-Turn1 (0.3%)

Showing top 9 of 12 reported. 3 additional (3 total) not shown: Driverless, 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 manner of collision was 'Not Collision Between Two Vehicles in Transport,' accounting for 46 crashes or 27.2%. 'Angle' collisions followed closely with 45 crashes (26.6%), and 'Rear-end' collisions accounted for 43 crashes (25.4%).

Manner of Collision

"Other" combines 1 smaller categories (3 records): Other/Unknown (3).

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 112 instances. Sport Utility Vehicles (101) and Pickups (58) were also frequently involved. Commercial vehicles, including Semi-Tractors, Cargo Vans, Vans (9-15 Seats), Single Unit Trucks, and Buses, accounted for 16 vehicles, or 5.0% of all vehicles involved.

Vehicle Type

"Other" combines 9 smaller categories (13 records): Van (9-15 Seats) (3), Single Unit Truck (3), Pedestrian/Skater (1), Heavy Equipment (1), Bus (16+ Passengers) (1), All Terrain Vehicle (ATV/UTV) (1), Animal with Rider or Animal Drawn Vehicle (1), Unknown or Hit/Skip (1), Other Vehicle (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 283 individuals. Occupants accounted for 49 individuals, and 1 pedestrian was involved. Drivers represented 84.9% of all persons in crashes, while occupants made up 14.7%.

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 333 persons involved in crashes, 1 individual sustained fatal injuries, representing 0.3% of all persons. A total of 32 persons sustained injuries of varying severity (4 serious, 16 minor, 12 possible), accounting for 9.6% of all persons involved.

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

Of the participants with specified safety equipment use, 287 individuals used both shoulder and lap belts. However, 20 individuals, representing 6.25% of those with specified equipment, were reported as using no safety equipment.

Occupant Safety Equipment

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

Single-vehicle crashes accounted for 30 incidents, representing 17.8% of all crashes. The majority of crashes involved multiple vehicles, with 132 crashes involving 2 vehicles, 6 crashes involving 3 vehicles, and 1 crash involving 5 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: Coshocton, OH
  • Total crash records analyzed: 169
  • Total persons involved: 333
  • Total vehicles involved: 317

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). "Coshocton, 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/coshocton/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, OH Crash Report — 2021 | ThatCarHitMe.com