Yearly Traffic Safety Analysis

32 CRASHES IN
ASHVILLE, OH
2021

In 2021, Ashville, OH experienced 32 crashes, resulting in 0 fatalities and 6 injuries. A notable finding is that 7 of these crashes, representing 21.9% of the total, involved a hit-and-run incident.

32

Total Crash Events

0

Persons Killed

6

Persons Injured

21.9%

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

7

Hit-and-Run Crashes — 2021

In 2021, Ashville recorded 7 hit-and-run crashes, accounting for 21.9% of all crashes. It is important to note that hit-and-run status is based on the responding officer's initial determination at the crash scene.

Vulnerable Road User Casualties

In Ashville during 2021, there were no fatalities among pedestrians, cyclists, or motorists. A total of 6 individuals sustained injuries across all crashes. This included 5 injured motorists and 1 injured pedestrian, with no cyclists reported as injured.

0

Pedestrians Killed

0

Motorists Killed

1

Pedestrians Injured

5

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 in Ashville shows that Thursdays had the highest number of crashes, with 8 incidents. The peak hour for crashes was 8 AM, recording 6 incidents. The majority of crashes, 24 out of 32, occurred during daylight hours, while 6 crashes occurred in dark 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

In Ashville during 2021, 26 crashes, or 81.3% of the total, resulted in no injuries. Injury-causing crashes accounted for 6 incidents, comprising 18.8% of all crashes. There were no fatal crashes recorded in this period.

Outcome by Severity (Crash Events)

Minor Injury3minor injury crashes9.4%
Possible Injury3possible injury crashes9.4%
No Injury26no injury crashes81.3%

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 Ashville during 2021 occurred under clear weather conditions (17 crashes), on dry road surfaces (25 crashes), and during daylight hours (24 crashes). Adverse weather conditions such as cloudy (10), freezing rain (1), or snow (1) were present in 12 crashes, and 4 crashes occurred on snow, ice, or wet surfaces. Additionally, 6 crashes occurred in dark conditions.

Weather

Clear17 (53.1%)
Cloudy10 (31.3%)
Other/Unknown3 (9.4%)
Freezing Rain or Freezing Drizzle1 (3.1%)
Snow1 (3.1%)

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

Lighting

Daylight24 (75.0%)
Dark - Lighted Roadway4 (12.5%)
Dark - Roadway Not Lighted2 (6.3%)
Dawn/Dusk1 (3.1%)
Other/Unknown1 (3.1%)

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

Road Surface

Dry25 (78.1%)
Other/Unknown3 (9.4%)
Snow2 (6.3%)
Ice1 (3.1%)
Wet1 (3.1%)

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

Vehicles & Demographics

Among the 65 persons involved in crashes, the 16-20 age group had the highest representation with 14 individuals, followed by the 26-34 and 35-44 age groups, each with 12 individuals. Chevrolet was the most frequently involved vehicle make, appearing in 9 incidents, with Hyundai and Ford each involved in 6 incidents.

Top Vehicle Makes (56 vehicles)

1
CHEVROLET9 (16.1%)
2
HYUNDAI6 (10.7%)
3
FORD6 (10.7%)
4
NISSAN5 (8.9%)
5
TOYOTA5 (8.9%)
6
DODGE3 (5.4%)
7
HONDA2 (3.6%)
8
CADILLAC2 (3.6%)
9
HUMMER1 (1.8%)
10
AUDI1 (1.8%)

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

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

Sex Distribution (62 persons with recorded sex)

Male36 (58.1%)
Female26 (41.9%)

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)

Of the 32 crashes in Ashville, 25 incidents occurred on the roadway. A total of 7 crashes, representing 21.9% of all incidents, occurred off the main travel lanes, with 4 on the shoulder and 3 on the roadside.

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, 38 were at locations with no traffic control present. Stop signs were present for 14 vehicles, while signals were present for 2 vehicles. The majority of vehicles involved in crashes were at locations without active traffic control.

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 contributing factors identified, 'Other Improper Action' and 'Drove off Road' were each cited 6 times. 'Failure to Yield' was a contributing factor in 4 instances, while 'Improper Backing' and 'Following too Close / ACDA' were each cited 3 times.

Driver Contributing Factor

1
Other Improper Action6 (20%)
2
Drove off Road6 (20%)
3
Failure to Yield4 (13.3%)
4
Improper Backing3 (10%)
5
Following too Close / ACDA3 (10%)
6
Not Discernible3 (10%)
7
Improper Turn2 (6.7%)
8
Load shifting/Falling/Spilling1 (3.3%)
9
Improper Passing1 (3.3%)

Showing top 9 of 10 reported. 1 additional (1 total) not shown: Unsafe Speed.

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

Driver Condition

Among the drivers involved in crashes, 2 were identified as being under the influence of medications, drugs, or alcohol. Additionally, 1 driver was noted as experiencing illness and another with a physical impairment. These 4 instances represent conditions other than apparently normal for drivers.

Driver Condition

1
Apparently Normal36 (80%)
2
Other/Unknown5 (11.1%)
3
Under the Influence of Medications / Drugs / Alcohol2 (4.4%)
4
Illness1 (2.2%)
5
Physical Impairment1 (2.2%)

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

Two drivers were identified as distracted in crashes: one due to 'Other activity with an electronic device' and another due to 'Other distraction inside the vehicle'. These represent specific instances of driver distraction.

Driver Distraction

1
Not Distracted36 (83.7%)
2
Other/Unknown5 (11.6%)
3
Other activity with an electronic device1 (2.3%)
4
Other distraction inside the vehicle1 (2.3%)

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 occurred on straight-level road alignments, accounting for 23 incidents. An additional 8 crashes occurred on straight-grade alignments, indicating a portion of incidents on sloped roadways.

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 frequent pre-crash action was 'Straight Ahead', accounting for 23 instances. 'Parked' was the action immediately prior to a crash in 8 cases, and 'Slowing or Stopped In Traffic' was noted in 7 instances.

Pre-Crash Driver Action

1
Straight Ahead23 (41.1%)
2
Parked8 (14.3%)
3
Slowing or Stopped In Traffic7 (12.5%)
4
Making Left Turn5 (8.9%)
5
Making Right Turn4 (7.1%)
6
Backing4 (7.1%)
7
Other/Unknown2 (3.6%)
8
Leaving Traffic Lane2 (3.6%)
9
Working1 (1.8%)

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 manner of collision was 'Not Collision Between Two Vehicles in Transport', accounting for 12 crashes or 37.5% of the total. Rear-end collisions were the second most frequent, occurring in 6 incidents, representing 18.8% of crashes.

Manner of Collision

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, appearing in 21 incidents. Pick-up trucks were involved in 15 incidents, and sport utility vehicles in 11 incidents. Commercial vehicles, including 3 single unit trucks and 3 semi-tractors, were involved in a total of 6 incidents.

Vehicle Type

"Other" combines 1 smaller categories (1 records): Cargo Van (1).

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

Person Type

Of the 65 persons involved in crashes, drivers represented the largest group, accounting for 47 individuals. Occupants (passengers) made up 17 individuals, and 1 pedestrian was involved in a crash.

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 65 persons involved in crashes, 56 sustained no injuries. A total of 6 individuals sustained injuries, comprising 3 minor injuries and 3 possible injuries. There were no fatalities recorded among persons involved 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

Of the persons involved in crashes, 47 were recorded as using shoulder and lap belts. One individual was noted as using no safety equipment, while 3 used a child restraint system and 1 used a booster seat.

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

The majority of crashes, 21 out of 32, involved 2 vehicles. Single-vehicle crashes accounted for 10 incidents, representing 31.3% of all crashes. One crash involved 4 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 5, 2026

Data Coverage

  • Reporting period: 2021-01-01 through 2021-12-31 (365 days)
  • Geographic scope: Ashville, OH
  • Total crash records analyzed: 32
  • Total persons involved: 65
  • Total vehicles involved: 56

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). "Ashville, 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/ashville/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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Ashville, OH Crash Report — 2021 | ThatCarHitMe.com