Yearly Traffic Safety Analysis

294 CRASHES IN
ASHLAND, OH
2021

In 2021, Ashland experienced 294 traffic crashes, resulting in 0 fatalities and 88 injuries. The vast majority of crashes, 77.9%, did not involve any injuries, indicating a high proportion of property-damage-only incidents. The absence of traffic fatalities is the most notable finding for the period.

294

Total Crash Events

0

Persons Killed

88

Persons Injured

9.9%

Hit-and-Run Rate

Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (0) 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

29

Hit-and-Run Crashes — 2021

There were 29 hit-and-run crashes reported in Ashland in 2021, accounting for 9.9% of all crashes. It is important to note that the classification of a crash as hit-and-run is based on the initial determination made by the responding officer.

Vulnerable Road User Casualties

In 2021, there were no fatalities reported among pedestrians, cyclists, or motorists in Ashland. Motorists accounted for the highest number of injuries, with 83 individuals sustaining injuries. Additionally, 5 pedestrians were injured, while no cyclists sustained injuries.

0

Pedestrians Killed

0

Motorists Killed

5

Pedestrians Injured

83

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

Crashes in Ashland showed a clear temporal pattern in 2021, with Friday being the peak day of the week, accounting for 57 crashes. The peak hour for crashes was 4 p.m., with 28 incidents. Approximately 75.2% of crashes occurred during daylight hours, while 19.7% occurred in darkness.

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 severity distribution of crashes in Ashland during 2021 indicates that 77.9% (229 crashes) resulted in no injuries, while 22.1% (65 crashes) involved some level of injury. There were 11 serious injury crashes, 37 minor injury crashes, and 17 possible injury crashes. No fatal crashes were reported for the period.

Outcome by Severity (Crash Events)

Serious Injury11serious injury crashes3.7%
Minor Injury37minor injury crashes12.6%
Possible Injury17possible injury crashes5.8%
No Injury229no injury crashes77.9%

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

The majority of crashes in Ashland during 2021 occurred under favorable environmental conditions. Specifically, 62.9% of crashes happened in clear weather, 83.0% on dry road surfaces, and 75.2% during daylight. Adverse conditions such as rain (25 crashes), wet road surfaces (42 crashes), and darkness (58 crashes) also contributed to a portion of incidents.

Weather

Clear185 (62.9%)
Cloudy73 (24.8%)
Rain25 (8.5%)
Snow8 (2.7%)
Other/Unknown2 (0.7%)
Fog; Smog; Smoke1 (0.3%)

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

Lighting

Daylight221 (75.2%)
Dark - Lighted Roadway42 (14.3%)
Dawn/Dusk15 (5.1%)
Dark - Roadway Not Lighted14 (4.8%)
Dark - Unknown Roadway Lighting2 (0.7%)

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

Road Surface

Dry244 (83.0%)
Wet42 (14.3%)
Snow6 (2.0%)
Ice2 (0.7%)

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

Vehicles & Demographics

Among all persons involved in crashes, the age group 65+ was most represented with 111 individuals, followed by 16-20 year olds with 96 individuals. Chevrolet was the most frequently involved vehicle make, appearing in 108 incidents, with Ford being the second most common at 94 incidents.

Top Vehicle Makes (537 vehicles)

1
CHEVROLET108 (20.1%)
2
FORD94 (17.5%)
3
HONDA45 (8.4%)
4
DODGE38 (7.1%)
5
TOYOTA38 (7.1%)
6
JEEP26 (4.8%)
7
KIA24 (4.5%)
8
NISSAN18 (3.4%)
9
HYUNDAI16 (3%)
10
GMC15 (2.8%)

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

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

Sex Distribution (664 persons with recorded sex)

Male356 (53.6%)
Female308 (46.4%)

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, 261 incidents, occurred on the roadway itself. A smaller proportion of crashes, totaling 20 incidents or 6.8% of all crashes, occurred off the main travel lanes, specifically on the shoulder (10), roadside (9), 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 vehicles involved in crashes, 310 were at locations with no traffic control present. Traffic signals were present for 140 involved vehicles, while stop signs were present for 78 vehicles. This indicates that 72.4% of vehicles involved in crashes were at locations with no signal control (no control, stop sign, or yield 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

The most frequent improper actions contributing to crashes were 'Following too Close / ACDA' (61 instances) and 'Failure to Yield' (56 instances). Other notable factors included 'Drove off Road' (18 instances), 'Improper Turn' (15 instances), and 'Ran Red Light' (13 instances). These factors represent key areas for potential safety interventions.

Driver Contributing Factor

1
Following too Close / ACDA61 (22.3%)
2
Failure to Yield56 (20.5%)
3
Other Improper Action45 (16.5%)
4
Drove off Road18 (6.6%)
5
Improper Turn15 (5.5%)
6
Ran Red Light13 (4.8%)
7
Improper Backing11 (4%)
8
Ran Stop Sign10 (3.7%)
9
Left of Center8 (2.9%)

Showing top 9 of 19 reported. 10 additional (36 total) not shown: Improper Lane Change, Not Discernible, Improper Passing, Unsafe Speed, Operating Defective Equipment, Improper Start From a Parked Position, Vision Obstruction, Improper Crossing, Swerving to Avoid, Load shifting/Falling/Spilling.

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 20 commercial vehicles were involved in crashes, comprising 11 Semi-Tractor Trailers and 9 Other Commercial Vehicles. These commercial vehicle involvements represent a significant category within the overall crash data.

Vulnerable Road Users & Motorcycles

In 2021, 8 vulnerable road users were involved in crashes, consisting of 5 pedestrians and 3 bicyclists. Additionally, 4 motorcyclists were involved in crashes. These incidents highlight specific areas of concern for non-motorist safety.

Animal-Involved Crashes

There were 19 animal-strike crashes reported, with 17 involving deer and 2 involving other animals. These animal-related incidents accounted for 6.5% of all crashes in Ashland during 2021.

Driver Condition

While most drivers were reported as 'Apparently Normal', 10 drivers were noted as being 'Under the Influence of Medications / Drugs / Alcohol'. Additionally, 4 drivers were identified with a 'Physical Impairment' at the time of their crash. These conditions represent a small but significant factor in driver behavior.

Driver Condition

1
Apparently Normal461 (95.6%)
2
Under the Influence of Medications / Drugs / Alcohol10 (2.1%)
3
Other/Unknown7 (1.5%)
4
Physical Impairment4 (0.8%)

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

Driver distraction was identified in 14 instances, with 'Other distraction inside the vehicle' and 'Other distraction outside the vehicle' each accounting for 5 instances. Manually operating an electronic communication device contributed to 3 instances of distraction. These specific distractions highlight common factors diverting driver attention.

Driver Distraction

1
Not Distracted460 (95.4%)
2
Other/Unknown8 (1.7%)
3
Other distraction inside the vehicle5 (1%)
4
Other distraction outside the vehicle5 (1%)
5
Manually operating an electronic communication device (texting; typing; dialing)3 (0.6%)
6
Other activity with an electronic device1 (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

Road Alignment

The majority of crashes, 212 incidents (72.1%), occurred on straight and level roadways. However, 25 crashes (8.5%) occurred on curves (Curve Level or Curve Grade), and 65 crashes (22.1%) occurred on roadways with a grade (Straight Grade or Curve Grade).

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

Prior to a crash, the most common driver action was 'Straight Ahead', accounting for 296 instances. 'Slowing or Stopped In Traffic' was the second most frequent action with 66 instances, followed closely by 'Making Left Turn' with 64 instances. These three actions represent the immediate circumstances for a significant portion of involved drivers.

Pre-Crash Driver Action

1
Straight Ahead296 (55.1%)
2
Slowing or Stopped In Traffic66 (12.3%)
3
Making Left Turn64 (11.9%)
4
Parked34 (6.3%)
5
Making Right Turn21 (3.9%)
6
Backing18 (3.4%)
7
Changing Lanes10 (1.9%)
8
Other/Unknown7 (1.3%)
9
Entering Traffic Lane6 (1.1%)

Showing top 9 of 15 reported. 6 additional (15 total) not shown: Walking; Running; Jogging; Playing, Overtaking/Passing, Negotiating a Curve, Leaving Traffic Lane, Driverless, 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

The most prevalent manner of collision was 'Angle', accounting for 86 crashes or 29.3% of all incidents. 'Not Collision Between Two Vehicles in Transport' was the second most common at 78 crashes (26.5%), followed by 'Rear-end' collisions with 65 crashes (22.1%). These three collision types represent the dominant patterns of impact.

Manner of Collision

"Other" combines 1 smaller categories (5 records): Other/Unknown (5).

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 frequently involved vehicle type, accounting for 251 out of 537 total vehicles, representing 46.7% of all vehicles. Additionally, 30 commercial-like vehicles, including Semi-Tractors and Single Unit Trucks, were involved in crashes, making up 5.6% of all vehicles.

Vehicle Type

"Other" combines 8 smaller categories (24 records): Pedestrian/Skater (5), Cargo Van (4), Motorcycle 2 Wheeled (4), Van (9-15 Seats) (3), Bus (16+ Passengers) (3), Bicycle (3), Golf Cart (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, totaling 497 individuals or 72.0% of all persons. Occupants accounted for 188 individuals, while pedestrians represented 5 individuals. This distribution highlights the primary roles of individuals in crash events.

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 all persons involved in crashes, 590 individuals sustained no injuries, while 88 individuals sustained some level of injury. This includes 13 serious injuries, 49 minor injuries, and 26 possible injuries. There were no fatalities among persons in crashes.

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

The use of 'Shoulder and Lap Belt' was reported for 590 persons, representing 86.1% of all drivers and occupants. Conversely, 34 persons (5.0%) were reported as using 'None Used' safety equipment. This indicates a high rate of seat belt usage, with a smaller but notable portion of unrestrained individuals.

Occupant Safety Equipment

"Other" combines 2 smaller categories (2 records): Lap Belt Only Used (1), Helmet Used (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 majority of crashes involved two vehicles, accounting for 222 incidents or 75.5% of all crashes. Single-vehicle crashes represented 62 incidents, making up 21.1% of the total. A small number of multi-vehicle crashes involved three (9 incidents) or four (1 incident) 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: Ashland, OH
  • Total crash records analyzed: 294
  • Total persons involved: 690
  • Total vehicles involved: 537

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). "Ashland, 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/ashland/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, OH Crash Report — 2021 | ThatCarHitMe.com