Yearly Traffic Safety Analysis

1,245 CRASHES IN
OHIO, OH
2021

In 2021, Ashland County recorded 1,245 traffic crashes, resulting in 9 fatalities and 493 injuries. A notable finding from the data is that a majority of incidents, 56% or 697 crashes, were single-vehicle events not involving a collision with another vehicle in transport. These crashes include run-off-road events and collisions with fixed objects or animals.

1,245

Total Crash Events

9

Persons Killed

493

Persons Injured

6.1%

Hit-and-Run Rate

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

76

Hit-and-Run Crashes — 2021

In 2021, 76 crashes in Ashland County were classified as hit-and-runs, accounting for 6.1% of all incidents. This determination is based on the initial report filed by the responding law enforcement officer at the scene of the crash.

Vulnerable Road User Casualties

In 2021, motorists comprised the largest group of individuals killed or injured, with 5 fatalities and 484 injuries. Pedestrians represented a high-severity group, with 4 fatalities and 9 injuries resulting from just 10 crashes. There were no cyclist fatalities or injuries reported during this period.

4

Pedestrians Killed

5

Motorists Killed

9

Pedestrians Injured

484

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 frequency in Ashland County peaked on Tuesdays, which saw 202 incidents over the year. The single hour with the most crashes was from 4:00 PM to 4:59 PM, with 98 events, indicating a significant correlation with the evening commute. Overall, 60.7% of crashes (756) occurred during daylight hours, compared to 416 crashes that happened in dark or low-light 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, 72.1% or 898 incidents, resulted in no injuries and involved only property damage. Injury-sustaining crashes accounted for 27.2% of the total, comprising 48 serious injuries, 190 minor injuries, and 100 possible injuries. Nine crashes were fatal, representing 0.7% of all incidents and resulting in a total of 9 fatalities.

Outcome by Severity (Crash Events)

Fatal9fatal crashes0.7%
Serious Injury48serious injury crashes3.9%
Minor Injury190minor injury crashes15.3%
Possible Injury100possible injury crashes8%
No Injury898no injury crashes72.1%

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 in 2021 occurred in favorable conditions, with 58% (722) happening in clear weather and 74.8% (931) on dry road surfaces. Crashes during daylight hours accounted for 60.7% (756) of the total. Adverse conditions were less frequent, with 130 crashes occurring during rain, 73 in snow, and 214 on wet road surfaces.

Weather

Clear722 (58.0%)
Cloudy279 (22.4%)
Rain130 (10.4%)
Snow73 (5.9%)
Fog; Smog; Smoke12 (1.0%)
Sleet; Hail11 (0.9%)
Other/Unknown8 (0.6%)
Freezing Rain or Freezing Drizzle8 (0.6%)
Severe Crosswinds2 (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

Daylight756 (60.7%)
Dark - Roadway Not Lighted355 (28.5%)
Dawn/Dusk67 (5.4%)
Dark - Lighted Roadway61 (4.9%)
Dark - Unknown Roadway Lighting5 (0.4%)
Other/Unknown1 (0.1%)

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

Road Surface

Dry931 (74.8%)
Wet214 (17.2%)
Snow56 (4.5%)
Slush20 (1.6%)
Ice17 (1.4%)
Other/Unknown4 (0.3%)
Water (Standing; Moving)2 (0.2%)
Sand; Mud; Dirt; Oil; Gravel1 (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 2,586 people involved in crashes, the 26-34 age group was the most represented with 384 individuals, followed by the 16-20 age group with 345. Of the 1,898 vehicles involved, the most frequent makes were Chevrolet (343), Ford (334), and Dodge (136). These three makes combined accounted for a significant portion of the vehicles in reported incidents.

Top Vehicle Makes (1,898 vehicles)

1
CHEVROLET343 (18.1%)
2
FORD334 (17.6%)
3
DODGE136 (7.2%)
4
HONDA132 (7%)
5
TOYOTA125 (6.6%)
6
JEEP81 (4.3%)
7
KIA75 (4%)
8
GMC55 (2.9%)
9
HYUNDAI52 (2.7%)
10
NISSAN49 (2.6%)

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

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

Sex Distribution (2,527 persons with recorded sex)

Male1,451 (57.4%)
Female1,076 (42.6%)

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 initial point of impact for most crashes, 937 incidents, was on the primary roadway. However, a significant number of crashes originated off the main travel lanes, with 168 occurring on the roadside, 70 on the shoulder, and 42 in the median. Combined, these 280 run-off-road crashes represent 22.5% of all incidents.

Crash Location (First Harmful Event)

"Other" combines 2 smaller categories (3 records): Off ramp (2), On Gore (1).

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

Traffic Control Device

The majority of vehicles involved in crashes were at locations with no traffic control device present, accounting for 1,448 units. Crashes at signalized intersections involved 230 vehicles, while those at intersections with stop signs involved 190 vehicles. A smaller number of incidents occurred at locations with yield signs (15) or flashers (11).

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 common contributing factor cited for drivers was 'Following too Close / ACDA', noted in 166 instances. This was closely followed by 'Failure to Yield' with 165 instances and 'Unsafe Speed' with 147 instances. Other significant factors included 'Drove off Road' (142) and 'Other Improper Action' (72).

Driver Contributing Factor

1
Following too Close / ACDA166 (17.2%)
2
Failure to Yield165 (17.1%)
3
Unsafe Speed147 (15.2%)
4
Drove off Road142 (14.7%)
5
Other Improper Action72 (7.5%)
6
Improper Lane Change44 (4.6%)
7
Left of Center37 (3.8%)
8
Improper Backing31 (3.2%)
9
Swerving to Avoid26 (2.7%)

Showing top 9 of 20 reported. 11 additional (136 total) not shown: Operating Defective Equipment, Ran Stop Sign, Ran Red Light, Improper Passing, Improper Turn, Not Discernible, Vision Obstruction, Improper Start From a Parked Position, Load shifting/Falling/Spilling, Improper Crossing, 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

Crashes involving commercial trucks accounted for 125 incidents, representing 10% of all crashes in 2021. Of these, 95 crashes involved a semi-tractor trailer, while the remaining 30 involved other types of commercial vehicles.

Vulnerable Road Users & Motorcycles

In 2021, there were 40 crashes involving vulnerable road users or motorcyclists. Motorcyclists were involved in 27 of these incidents. Crashes involving pedestrians and bicyclists, key vulnerable road user groups, totaled 13 incidents (10 pedestrian and 3 bicyclist).

Animal-Involved Crashes

Collisions with animals were a significant factor in Ashland County, accounting for 250 crashes, or 20.1% of the yearly total. The vast majority of these incidents, 226 crashes or 90.4%, involved deer. The remaining 24 crashes involved other, unspecified animals.

Impairment (Alcohol / Drugs)

Impairment was a factor in 67 crashes, which is 5.4% of all incidents. Among these, alcohol was the sole factor in 49 cases. Nine crashes involved drugs, and an additional nine crashes involved a combination of both alcohol and drugs.

Driver Condition

Excluding drivers noted as 'Apparently Normal', the most common condition reported was being under the influence of medications, drugs, or alcohol, which was cited for 66 drivers. An additional 15 drivers were reported to have fallen asleep, fainted, or been fatigued. Physical impairment was noted for 9 drivers.

Driver Condition

1
Apparently Normal1,671 (92.7%)
2
Under the Influence of Medications / Drugs / Alcohol66 (3.7%)
3
Other/Unknown34 (1.9%)
4
Fell Asleep; Fainted; Fatigued; etc.15 (0.8%)
5
Physical Impairment9 (0.5%)
6
Illness4 (0.2%)
7
Emotional (E.G.; Depressed; Angry; Disturbed)3 (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 drivers for whom a distraction was identified, the most common issues were 'Other distraction inside the vehicle' (22 drivers) and 'Other distraction outside the vehicle' (21 drivers). Manually operating an electronic device like a phone was cited for 13 drivers, and another 13 were distracted by another activity with an electronic device.

Driver Distraction

1
Not Distracted1,669 (92.9%)
2
Other/Unknown50 (2.8%)
3
Other distraction inside the vehicle22 (1.2%)
4
Other distraction outside the vehicle21 (1.2%)
5
Manually operating an electronic communication device (texting; typing; dialing)13 (0.7%)
6
Other activity with an electronic device13 (0.7%)
7
Passenger5 (0.3%)
8
Talking on hand-held communication device2 (0.1%)
9
Talking on hands-free communication device1 (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 (785) occurred on straight, level sections of road, a notable portion happened on more challenging alignments. Roadways with a grade were the site of 376 crashes, representing 30.2% of the total. Curved sections of road, both level and graded, accounted for 144 crashes, or 11.6% of all 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 highest concentration of crashes occurred in the City of Ashland, with 294 incidents. The Township of Montgomery followed with 241 crashes, and the Township of Jackson recorded 83 crashes. These three areas collectively accounted for 618 of the 1,245 total crashes in the county.

Top Cities

1
Ashland294 (23.6%)
2
Montgomery241 (19.4%)
3
Jackson83 (6.7%)
4
Vermillion74 (5.9%)
5
Perry73 (5.9%)
6
Milton70 (5.6%)
7
Mifflin57 (4.6%)
8
Loudonville44 (3.5%)
9
Sullivan44 (3.5%)

Showing top 9 of 22 reported. 13 additional (265 total) not shown: Mohican, Green, Clear Creek, Orange, Ruggles, Hanover, Troy, Lake, Savannah, Hayesville, Bailey Lakes, Polk, Jeromesville.

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 action for vehicles immediately prior to a crash was driving 'Straight Ahead', which was reported for 1,304 vehicles. The next most frequent pre-crash actions were 'Slowing or Stopped In Traffic' (144 vehicles) and 'Making Left Turn' (132 vehicles).

Pre-Crash Driver Action

1
Straight Ahead1,304 (68.7%)
2
Slowing or Stopped In Traffic144 (7.6%)
3
Making Left Turn132 (7%)
4
Negotiating a Curve58 (3.1%)
5
Changing Lanes49 (2.6%)
6
Parked49 (2.6%)
7
Making Right Turn42 (2.2%)
8
Backing41 (2.2%)
9
Overtaking/Passing22 (1.2%)

Showing top 9 of 17 reported. 8 additional (57 total) not shown: Other/Unknown, Entering Traffic Lane, Driverless, Walking; Running; Jogging; Playing, Leaving Traffic Lane, Other Non-Motorist, Standing Outside Disabled Vehicle, Entering or Crossing Specified Location.

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

Manner of Collision

Single-vehicle crashes, categorized as 'Not Collision Between Two Vehicles in Transport', were the most common type of incident, accounting for 697 crashes or 56% of the total. Among multi-vehicle crashes, angle collisions were the most frequent with 211 incidents (16.9%), followed by rear-end collisions with 166 incidents (13.3%).

Manner of Collision

"Other" combines 1 smaller categories (19 records): Other/Unknown (19).

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 764 units. Sport Utility Vehicles (447 units) and Pick-up trucks (342 units) were the next most frequent. Commercial vehicles, including semi-tractors, single unit trucks, and cargo vans, were involved in a combined 172 instances.

Vehicle Type

"Other" combines 13 smaller categories (108 records): Cargo Van (26), Animal with Rider or Animal Drawn Vehicle (22), Unknown or Hit/Skip (20), Pedestrian/Skater (12), Van (9-15 Seats) (6), Other Vehicle (5), Bus (16+ Passengers) (5), Bicycle (3), Motorhome (3), Farm Equipment (2), Heavy Equipment (2), Golf Cart (1), Motorcycle 3 Wheeled (1).

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

Person Type

Of the 2,586 individuals involved in crashes, the majority were drivers, accounting for 1,828 people or 70.7% of the total. Vehicle occupants or passengers made up the next largest group with 742 individuals (28.7%). A small but notable share consisted of 16 pedestrians involved in incidents.

Person Type

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

Person Injury Severity

Among the 2,586 people involved in crashes, 2,056 (79.5%) sustained no injuries. A total of 493 individuals were injured, representing 19.1% of all persons involved. This included 9 fatalities, 58 serious injuries, 267 minor injuries, and 168 possible 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 vehicle occupants where safety equipment use was recorded, 173 individuals were reported as using no restraints at the time of their crash. The vast majority, 2,107 people, were documented as using a shoulder and lap belt. Child restraints, including forward-facing, rear-facing, and booster seats, were used by a combined 116 children.

Occupant Safety Equipment

"Other" combines 2 smaller categories (26 records): Lap Belt Only Used (15), Helmet Used (11).

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 two-vehicle crashes. Single-vehicle incidents accounted for 50.6% (630) of all crashes, while two-vehicle collisions made up 46.7% (582). Crashes involving three or more vehicles were far less common, totaling 33 incidents or 2.7% of all crashes.

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: 1,245
  • Total persons involved: 2,586
  • Total vehicles involved: 1,898

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

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