Yearly Traffic Safety Analysis

336 CRASHES IN
EATON, OH
2021

In 2021, Eaton experienced 336 crashes, resulting in 0 fatalities and 123 injuries. A notable finding is that 75.3% of these crashes resulted in no injuries.

336

Total Crash Events

0

Persons Killed

123

Persons Injured

8.6%

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

In 2021, there were 29 hit-and-run crashes in Eaton, representing 8.6% of all crashes. The determination of hit-and-run status is based on the initial assessment by the responding officer.

Vulnerable Road User Casualties

In 2021, there were no fatalities reported for pedestrians, cyclists, or motorists in Eaton. Three pedestrians sustained injuries, while 120 motorists were injured. There were no injured cyclists reported.

0

Pedestrians Killed

0

Motorists Killed

3

Pedestrians Injured

120

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 Eaton during 2021 peaked on Wednesdays, with 60 incidents, and during the 3 PM hour, which saw 39 crashes. The majority of crashes, 232 out of 336 (69%), occurred during daylight hours, while 80 crashes (23.8%) 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 2021, 75.3% of crashes in Eaton resulted in no injuries, accounting for 253 incidents. Injury crashes, encompassing serious, minor, and possible injuries, totaled 83, representing 24.7% of all crashes. There were no fatal crashes reported, meaning no crashes involved any fatalities.

Outcome by Severity (Crash Events)

Serious Injury10serious injury crashes3%
Minor Injury38minor injury crashes11.3%
Possible Injury35possible injury crashes10.4%
No Injury253no injury crashes75.3%

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

A significant portion of crashes in Eaton during 2021 occurred under optimal conditions, with 221 crashes (65.8%) happening in clear weather, 251 crashes (74.7%) on dry roads, and 232 crashes (69%) during daylight. Conversely, 35 crashes occurred in rain and 18 in snow, while 66 crashes happened on wet roads and 17 on snowy roads.

Weather

Clear221 (65.8%)
Cloudy56 (16.7%)
Rain35 (10.4%)
Snow18 (5.4%)
Fog; Smog; Smoke4 (1.2%)
Other/Unknown1 (0.3%)
Severe Crosswinds1 (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

Daylight232 (69.0%)
Dark - Lighted Roadway40 (11.9%)
Dark - Roadway Not Lighted40 (11.9%)
Dawn/Dusk23 (6.8%)
Other/Unknown1 (0.3%)

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

Road Surface

Dry251 (74.7%)
Wet66 (19.6%)
Snow17 (5.1%)
Other/Unknown2 (0.6%)

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

Vehicles & Demographics

Among persons involved in crashes, the 26-34 age group was most represented with 136 individuals. Chevrolet was the most frequently involved vehicle make, accounting for 144 vehicles, followed by Ford with 123 vehicles.

Top Vehicle Makes (615 vehicles)

1
CHEVROLET144 (23.4%)
2
FORD123 (20%)
3
HONDA41 (6.7%)
4
DODGE32 (5.2%)
5
TOYOTA30 (4.9%)
6
GMC26 (4.2%)
7
NISSAN21 (3.4%)
8
JEEP20 (3.3%)
9
BUICK19 (3.1%)
10
HYUNDAI19 (3.1%)

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

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

Sex Distribution (794 persons with recorded sex)

Male421 (53.0%)
Female373 (47.0%)

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, 278, occurred on the roadway. A total of 45 crashes, representing 13.4% of all incidents, occurred off the travel lanes, specifically on the roadside (31), on the shoulder (12), or in the median (2).

Crash Location (First Harmful Event)

"Other" combines 2 smaller categories (2 records): On ramp (1), 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

The most common traffic control condition reported was 'No Control', accounting for 382 occurrences. Crashes occurred at signalized locations 134 times, representing 21.9% of reported traffic control instances, while 382 occurrences (62.4%) were at uncontrolled locations.

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

Following too Close / ACDA was the most frequent contributing factor, cited 93 times. Other significant factors included Failure to Yield, reported 53 times, and Drove off Road, noted in 33 instances. Improper actions like 'Other Improper Action' (25) and 'Improper Backing' (14) also contributed to crashes.

Driver Contributing Factor

1
Following too Close / ACDA93 (30.7%)
2
Failure to Yield53 (17.5%)
3
Drove off Road33 (10.9%)
4
Other Improper Action25 (8.3%)
5
Improper Backing14 (4.6%)
6
Not Discernible12 (4%)
7
Unsafe Speed11 (3.6%)
8
Improper Lane Change11 (3.6%)
9
Improper Passing10 (3.3%)

Showing top 9 of 19 reported. 10 additional (41 total) not shown: Ran Red Light, Left of Center, Improper Turn, Improper Start From a Parked Position, Ran Stop Sign, Swerving to Avoid, Operating Defective Equipment, Load shifting/Falling/Spilling, Improper Crossing, Stopped or Parked Illegally.

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 vehicles totaled 23, representing 6.8% of all crashes. These included 13 instances of 'Other Commercial Vehicle' and 10 instances involving 'Semi-Tractor Trailer'.

Vulnerable Road Users & Motorcycles

Crashes involving vulnerable road users or motorcycles totaled 11 incidents. This included 3 pedestrian-involved crashes and 8 motorcyclist-involved crashes. Pedestrian and cyclist-involved crashes combined for 3 incidents.

Animal-Involved Crashes

Animal-strike crashes accounted for 22 incidents, representing 6.5% of all crashes. Deer were involved in 19 of these incidents, with 'Other Animal' contributing to 3 crashes.

Impairment (Alcohol / Drugs)

Impairment was a factor in 25 crashes, representing 7.4% of all incidents. Alcohol impairment was noted in 13 cases, while drug impairment was reported in 11 cases. One crash involved both alcohol and drug impairment.

Driver Condition

Abnormal driver conditions were reported in 40 instances. These included 24 instances of drivers 'Under the Influence of Medications / Drugs / Alcohol', 6 instances of drivers who 'Fell Asleep; Fainted; Fatigued; etc.', and 4 instances each of 'Illness' and 'Emotional' conditions.

Driver Condition

1
Apparently Normal510 (90.3%)
2
Under the Influence of Medications / Drugs / Alcohol24 (4.2%)
3
Other/Unknown15 (2.7%)
4
Fell Asleep; Fainted; Fatigued; etc.6 (1.1%)
5
Illness4 (0.7%)
6
Emotional (E.G.; Depressed; Angry; Disturbed)4 (0.7%)
7
Physical Impairment2 (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

Driver Distraction

Driver distraction was identified in 27 instances. The most frequent specific distractions were 'Other distraction inside the vehicle' (10 instances), 'Manually operating an electronic communication device' (7 instances), and 'Other distraction outside the vehicle' (7 instances).

Driver Distraction

1
Not Distracted507 (90.2%)
2
Other/Unknown28 (5%)
3
Other distraction inside the vehicle10 (1.8%)
4
Manually operating an electronic communication device (texting; typing; dialing)7 (1.2%)
5
Other distraction outside the vehicle7 (1.2%)
6
Passenger2 (0.4%)
7
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, 282, occurred on 'Straight Level' road alignments. Crashes on curves, including 'Curve Level' and 'Curve Grade', accounted for 21 incidents (6.25%). Additionally, 43 crashes (12.8%) occurred on road grades, combining 'Straight Grade' and 'Curve Grade' alignments.

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 reported was 'Straight Ahead', occurring in 374 instances. 'Slowing or Stopped In Traffic' was the next most frequent action with 73 instances, followed by 'Making Left Turn' with 50 instances.

Pre-Crash Driver Action

1
Straight Ahead374 (60.8%)
2
Slowing or Stopped In Traffic73 (11.9%)
3
Making Left Turn50 (8.1%)
4
Parked34 (5.5%)
5
Backing18 (2.9%)
6
Making Right Turn12 (2%)
7
Negotiating a Curve11 (1.8%)
8
Overtaking/Passing10 (1.6%)
9
Changing Lanes9 (1.5%)

Showing top 9 of 16 reported. 7 additional (24 total) not shown: Entering Traffic Lane, Other/Unknown, Leaving Traffic Lane, Walking; Running; Jogging; Playing, Driverless, Other Non-Motorist, Making U-Turn.

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

Manner of Collision

The dominant manner of collision was 'Rear-end', accounting for 109 crashes or 32.4% of the total. 'Not Collision Between Two Vehicles in Transport' was the second most frequent, with 89 incidents (26.5%), followed by 'Angle' collisions at 79 incidents (23.5%).

Manner of Collision

"Other" combines 2 smaller categories (8 records): Head-on (5), Rear-to-rear (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 frequently involved vehicle type, accounting for 310 vehicles. Sport Utility Vehicles (131) and Pickups (106) were also commonly involved. Vehicles classified as commercial, including Single Unit Trucks, Semi-Tractors, and Cargo Vans, collectively represented 29 vehicles.

Vehicle Type

"Other" combines 8 smaller categories (22 records): Motorcycle 2 Wheeled (8), Unknown or Hit/Skip (4), Other Vehicle (3), Pedestrian/Skater (3), Van (9-15 Seats) (1), Farm Equipment (1), Train (1), Bus (16+ Passengers) (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 dominant role among persons involved in crashes, with 574 individuals. Occupants accounted for 227 individuals, while pedestrians were involved in 3 instances.

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, 678 individuals sustained no injuries. A total of 123 persons sustained injuries, with 14 classified as serious, 52 as minor, and 57 as possible injuries. No fatalities were reported among 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

The use of safety equipment by motor-vehicle occupants showed that 593 individuals used 'Shoulder and Lap Belt Used'. A notable 118 individuals were reported as having 'None Used', representing 15.2% of those with known safety equipment status. Additionally, 20 individuals used 'Child Restraint System - Forward Facing'.

Occupant Safety Equipment

"Other" combines 2 smaller categories (7 records): Helmet Used (4), Child Restraint System - Rear Facing (3).

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 2 vehicles, totaling 239 incidents. Single-vehicle crashes accounted for 80 incidents, representing 23.8% of all crashes. Additionally, 17 crashes involved three or more vehicles, with one incident involving 7 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: Eaton, OH
  • Total crash records analyzed: 336
  • Total persons involved: 804
  • Total vehicles involved: 615

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). "Eaton, 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/eaton/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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Eaton, OH Crash Report — 2021 | ThatCarHitMe.com