Yearly Traffic Safety Analysis

1,673 CRASHES IN
OHIO, OH
2021

In 2021, Geauga County recorded 1,673 traffic crashes, which resulted in 28 fatalities and 721 injuries. A significant portion of these incidents, 46% (769 crashes), were single-vehicle events not involving a collision with another vehicle in transport. The data indicates that crashes peaked on Fridays and during the late afternoon commute.

1,673

Total Crash Events

28

Persons Killed

721

Persons Injured

5.4%

Hit-and-Run Rate

Note: "Persons Killed" (28) counts individual fatalities across all crash events. "Fatal" in the severity table below (23) 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

90

Hit-and-Run Crashes — 2021

In 2021, 90 crashes in Geauga County were classified as hit-and-run incidents, accounting for 5.4% of all crashes. This determination is based on the initial report filed by the responding law enforcement officer at the scene of the collision.

Vulnerable Road User Casualties

In 2021, motorists accounted for the vast majority of traffic fatalities and injuries, with 27 killed and 718 injured. Among vulnerable road users, one pedestrian was killed and three were injured. No cyclists were reported killed or injured in crashes during this period.

1

Pedestrians Killed

27

Motorists Killed

3

Pedestrians Injured

718

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 occurrences in Geauga County peaked on Fridays, with 286 incidents recorded in 2021. The most frequent time for crashes was the 4 p.m. hour, which saw 136 events. Overall, 1,061 crashes (63.4%) occurred during daylight hours, while 610 incidents took place in dark or low-light (dawn/dusk) 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

Of the 1,673 total crashes, 69.5% (1,163 incidents) resulted in no injuries, being classified as property-damage-only events. The remaining 30.5% involved at least one injury. There were 23 fatal crashes, which resulted in a total of 28 fatalities, indicating some crashes involved more than one death.

Severity is per crash event (most severe injury). 23 fatal crash events resulted in 28 persons killed.

Outcome by Severity (Crash Events)

Fatal23fatal crashes1.4%
Serious Injury47serious injury crashes2.8%
Minor Injury239minor injury crashes14.3%
Possible Injury201possible injury crashes12%
No Injury1,163no injury crashes69.5%

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 in what would be considered ideal driving conditions. Specifically, 71.9% of crashes happened on dry roads (1,203 incidents) and 63.4% occurred in daylight (1,061 incidents). Adverse weather was a factor in a smaller share of events, with 139 crashes during rain and 150 during snow.

Weather

Clear970 (58.0%)
Cloudy388 (23.2%)
Snow150 (9.0%)
Rain139 (8.3%)
Fog; Smog; Smoke11 (0.7%)
Sleet; Hail6 (0.4%)
Other/Unknown5 (0.3%)
Freezing Rain or Freezing Drizzle2 (0.1%)
Severe Crosswinds2 (0.1%)

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

Lighting

Daylight1,061 (63.4%)
Dark - Roadway Not Lighted405 (24.2%)
Dark - Lighted Roadway117 (7.0%)
Dawn/Dusk88 (5.3%)
Dark - Unknown Roadway Lighting1 (0.1%)
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

Dry1,203 (71.9%)
Wet320 (19.1%)
Snow119 (7.1%)
Slush13 (0.8%)
Ice11 (0.7%)
Other/Unknown3 (0.2%)
Sand; Mud; Dirt; Oil; Gravel2 (0.1%)
Water (Standing; Moving)2 (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 3,571 people involved in crashes, the most represented age groups were 16-20 years old (499 individuals) and those 65 and older (496 individuals). The most common vehicle makes involved in these incidents were Chevrolet (418 vehicles), Ford (399 vehicles), and Honda (211 vehicles).

Top Vehicle Makes (2,709 vehicles)

1
CHEVROLET418 (15.4%)
2
FORD399 (14.7%)
3
HONDA211 (7.8%)
4
TOYOTA200 (7.4%)
5
JEEP158 (5.8%)
6
KIA130 (4.8%)
7
DODGE128 (4.7%)
8
SUBARU109 (4%)
9
GMC91 (3.4%)
10
NISSAN87 (3.2%)

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

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

Sex Distribution (3,520 persons with recorded sex)

Male2,023 (57.5%)
Female1,497 (42.5%)

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 first harmful event in most crashes, 1,286 incidents, occurred on the roadway itself. However, a notable 370 crashes, or 22.1% of the total, were run-off-road events. In these cases, the initial impact happened on the roadside, shoulder, or in the median, away from the designated travel lanes.

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

Analysis of traffic controls where crashes occurred shows that the majority of vehicles involved, 1,929 units, were in areas with no traffic control device present. Crashes at signalized intersections involved 481 vehicles, while those at intersections with stop signs involved 267 vehicles.

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 frequently cited contributing factor for drivers was 'Following too Close / ACDA,' attributed to 375 vehicles. This was followed by 'Drove off Road' (310 vehicles) and 'Failure to Yield' (276 vehicles). These top three improper actions were cited for a combined 961 vehicles involved in crashes.

Driver Contributing Factor

1
Following too Close / ACDA375 (26.2%)
2
Drove off Road310 (21.7%)
3
Failure to Yield276 (19.3%)
4
Unsafe Speed71 (5%)
5
Improper Passing61 (4.3%)
6
Left of Center55 (3.8%)
7
Other Improper Action46 (3.2%)
8
Improper Backing39 (2.7%)
9
Improper Turn37 (2.6%)

Showing top 9 of 20 reported. 11 additional (160 total) not shown: Ran Red Light, Ran Stop Sign, Swerving to Avoid, Improper Lane Change, Not Discernible, Operating Defective Equipment, Load shifting/Falling/Spilling, Vision Obstruction, Stopped or Parked Illegally, Improper Start From a Parked Position, Improper Crossing.

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 109 incidents in 2021. Of these, 50 crashes involved a semi-tractor trailer, while the remaining 59 involved other types of commercial vehicles such as single-unit trucks or cargo vans.

Vulnerable Road Users & Motorcycles

A total of 36 crashes involved vulnerable road users or motorcyclists. Motorcyclists were involved in 27 of these incidents. Crashes involving pedestrians and bicyclists were less frequent, with 5 and 4 incidents respectively, for a combined total of 9 crashes involving vulnerable road users.

Animal-Involved Crashes

Animal-related collisions were a significant factor, accounting for 260 crashes, or 15.5% of the year's total. The vast majority of these incidents, 233 crashes (89.6% of animal strikes), involved deer. An additional 27 crashes were attributed to collisions with other unspecified types of animals.

Impairment (Alcohol / Drugs)

Impairment was a documented factor in 99 crashes, representing 5.9% of all incidents. Alcohol was the most common form of impairment, cited in 78 crashes. An additional 11 crashes involved both alcohol and drugs, while 10 involved drugs alone.

Driver Condition

While most drivers were recorded as 'Apparently Normal,' several adverse conditions were noted among the 2,673 drivers involved in crashes. A total of 83 drivers were identified as being under the influence of medications, drugs, or alcohol. Additionally, 39 drivers were reported to have fallen asleep, fainted, or been fatigued at the time of their crash.

Driver Condition

1
Apparently Normal2,445 (92.5%)
2
Under the Influence of Medications / Drugs / Alcohol83 (3.1%)
3
Other/Unknown58 (2.2%)
4
Fell Asleep; Fainted; Fatigued; etc.39 (1.5%)
5
Illness9 (0.3%)
6
Emotional (E.G.; Depressed; Angry; Disturbed)5 (0.2%)
7
Physical Impairment4 (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 the 2,673 drivers involved in crashes, specific distractions were identified for a subset of individuals. The most common reported distractions included other activities inside the vehicle (46 drivers) and distractions outside the vehicle (29 drivers). Electronic device use was also a factor, with 13 drivers manually operating a device and another 14 engaged in a different activity with a device.

Driver Distraction

1
Not Distracted2,449 (94%)
2
Other/Unknown46 (1.8%)
3
Other distraction inside the vehicle46 (1.8%)
4
Other distraction outside the vehicle29 (1.1%)
5
Other activity with an electronic device14 (0.5%)
6
Manually operating an electronic communication device (texting; typing; dialing)13 (0.5%)
7
Passenger5 (0.2%)
8
Talking on hand-held communication device4 (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

While 1,124 crashes (67.2%) occurred on straight, level roads, a notable portion happened on more challenging alignments. Crashes on a grade (either straight or curved) accounted for 475 incidents, or 28.4% of the total. Additionally, 150 crashes, representing 9.0% of all incidents, occurred on curves.

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 within Geauga County occurred in the township of Bainbridge, with 260 incidents, and the city of Chardon, with 211 incidents. The village of Middlefield recorded the third-highest volume with 149 crashes. Together, these three areas accounted for 37% of all crashes in the county.

Top Cities

1
Bainbridge260 (15.5%)
2
Chardon211 (12.6%)
3
Middlefield149 (8.9%)
4
Munson147 (8.8%)
5
Chesterland126 (7.5%)
6
Auburn103 (6.2%)
7
Newbury99 (5.9%)
8
Parkman99 (5.9%)
9
Hambden78 (4.7%)

Showing top 9 of 20 reported. 11 additional (401 total) not shown: Troy, Burton, Claridon, Russell, Thompson, Huntsburg, Montville, South Russell, Aquilla, Hunting Valley, Chester.

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 for vehicles involved was driving straight ahead, which was reported for 1,632 vehicles, or 60.2% of the total. The next most frequent actions were slowing or stopping in traffic, involving 463 vehicles, and making a left turn, involving 218 vehicles.

Pre-Crash Driver Action

1
Straight Ahead1,632 (60.2%)
2
Slowing or Stopped In Traffic463 (17.1%)
3
Making Left Turn218 (8%)
4
Overtaking/Passing73 (2.7%)
5
Negotiating a Curve67 (2.5%)
6
Making Right Turn63 (2.3%)
7
Backing59 (2.2%)
8
Entering Traffic Lane38 (1.4%)
9
Other/Unknown21 (0.8%)

Showing top 9 of 17 reported. 8 additional (75 total) not shown: Parked, Changing Lanes, Leaving Traffic Lane, Driverless, Making U-Turn, Walking; Running; Jogging; Playing, Entering or Crossing Specified Location, Working.

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 were the most common type of incident, accounting for 769 crashes, or 46% of the total. Among multi-vehicle collisions, the most frequent pattern was a rear-end crash, which occurred in 364 incidents (21.8%). This was followed by angle collisions, which comprised 333 incidents (19.9%).

Manner of Collision

"Other" combines 2 smaller categories (25 records): Other/Unknown (20), Rear-to-rear (5).

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

Vehicle Type

Passenger cars and Sport Utility Vehicles were the most common vehicles involved in crashes, accounting for 994 and 830 units respectively. Combined, these two types made up 67.3% of all 2,709 vehicles in collisions. Pick-up trucks were the third most common, with 445 vehicles involved.

Vehicle Type

"Other" combines 13 smaller categories (133 records): Van (9-15 Seats) (37), Motorcycle 2 Wheeled (26), Animal with Rider or Animal Drawn Vehicle (20), Unknown or Hit/Skip (13), Heavy Equipment (7), Other Vehicle (6), Farm Equipment (5), Bus (16+ Passengers) (5), Pedestrian/Skater (5), Bicycle (4), All Terrain Vehicle (ATV/UTV) (2), Snowmobile (2), 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 3,571 individuals involved in crashes, the vast majority were drivers, accounting for 2,673 people (74.8%). Vehicle occupants (passengers) represented the next largest group with 890 individuals (24.9%). A total of 8 pedestrians were also involved in these 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

A total of 3,571 people were involved in crashes, with 2,781 (77.9%) reporting no injuries. There were 28 fatalities recorded. An additional 721 individuals sustained injuries, ranging from possible (321 persons) and minor (331 persons) to serious (69 persons).

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 3,561 crash participants where safety equipment use was recorded, 2,965 were reported as using both a shoulder and lap belt. However, 248 individuals, or 7.0% of this group, were reported as using no safety equipment at all. Child restraint systems, including forward-facing, rear-facing, and booster seats, were used by a combined 100 occupants.

Occupant Safety Equipment

"Other" combines 2 smaller categories (33 records): Child Restraint System - Rear Facing (20), Lap Belt Only Used (13).

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

Two-vehicle collisions were the most common scenario, comprising 890 incidents (53.2% of the total). Single-vehicle crashes were also frequent, accounting for 712 incidents (42.5%). Multi-vehicle pile-ups involving three or more vehicles were less common, with 67 three-vehicle crashes and 4 four-vehicle crashes reported.

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: 1,673
  • Total persons involved: 3,571
  • Total vehicles involved: 2,709

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