Yearly Traffic Safety Analysis

266 CRASHES IN
BAINBRIDGE, OH
2021

In 2021, Bainbridge, OH experienced a total of 266 crashes, resulting in 4 fatalities and 121 injuries. A significant majority, 69.2% of these crashes, were reported with no injuries. The most frequent manner of collision was 'Not Collision Between Two Vehicles in Transport,' accounting for 39.5% of incidents.

266

Total Crash Events

4

Persons Killed

121

Persons Injured

4.1%

Hit-and-Run Rate

Note: "Persons Killed" (4) counts individual fatalities across all crash events. "Fatal" in the severity table below (4) 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

11

Hit-and-Run Crashes — 2021

There were 11 hit-and-run crashes in Bainbridge, OH during 2021, representing 4.1% of all crashes. Hit-and-run status is determined by the responding officer's initial assessment at the scene.

Vulnerable Road User Casualties

In 2021, 4 persons were killed and 121 persons were injured in crashes in Bainbridge, OH. Motorists accounted for 3 fatalities and 120 injuries. One pedestrian was killed and one pedestrian was injured, while no cyclists were killed or injured.

1

Pedestrians Killed

3

Motorists Killed

1

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 Bainbridge, OH most frequently occurred on Tuesdays, with 53 incidents reported. The peak hour for crashes was 5 p.m., accounting for 25 incidents. A majority of crashes, 63.9%, happened during daylight hours, while 36.1% occurred during dark or 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 266 crashes in Bainbridge, OH, 69.2% resulted in no injuries, while 29.3% involved some level of injury. There were 4 fatal crashes, which resulted in a total of 4 fatalities. It is important to note that the number of fatalities refers to persons killed, and can differ from the number of fatal crashes.

Outcome by Severity (Crash Events)

Fatal4fatal crashes1.5%
Serious Injury6serious injury crashes2.3%
Minor Injury33minor injury crashes12.4%
Possible Injury39possible injury crashes14.7%
No Injury184no injury crashes69.2%

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 Bainbridge, OH occurred under clear weather conditions (66.2%), on dry road surfaces (82.0%), and during daylight hours (63.9%). Adverse weather conditions such as rain, snow, fog, or sleet were present in 12.0% of crashes. Similarly, wet, snowy, or slushy road surfaces were reported in 18.0% of incidents, and 30.1% of crashes occurred in dark conditions.

Weather

Clear176 (66.2%)
Cloudy58 (21.8%)
Rain15 (5.6%)
Snow15 (5.6%)
Fog; Smog; Smoke1 (0.4%)
Sleet; Hail1 (0.4%)

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

Lighting

Daylight170 (63.9%)
Dark - Lighted Roadway41 (15.4%)
Dark - Roadway Not Lighted39 (14.7%)
Dawn/Dusk16 (6.0%)

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

Road Surface

Dry218 (82.0%)
Wet35 (13.2%)
Snow12 (4.5%)
Slush1 (0.4%)

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 groups 65+ (87 persons), 16-20 (85 persons), and 35-44 (74 persons) were most represented. Ford vehicles were involved in 61 incidents, followed by Chevrolet with 50 incidents, and Honda with 48 incidents, making them the most frequently appearing vehicle makes in crashes.

Top Vehicle Makes (450 vehicles)

1
FORD61 (13.6%)
2
CHEVROLET50 (11.1%)
3
HONDA48 (10.7%)
4
TOYOTA34 (7.6%)
5
KIA24 (5.3%)
6
JEEP24 (5.3%)
7
SUBARU23 (5.1%)
8
NISSAN15 (3.3%)
9
DODGE14 (3.1%)
10
HYUNDAI14 (3.1%)

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

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

Sex Distribution (531 persons with recorded sex)

Male273 (51.4%)
Female258 (48.6%)

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)

A significant majority of crashes, 83.1%, occurred on the roadway itself. However, 16.2% of crashes happened off the main travel lanes, specifically on the roadside (27 incidents), on the shoulder (15 incidents), or in the median (1 incident). This indicates a notable proportion of run-off-road incidents.

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

The dominant traffic control condition associated with crashes was 'No Control,' accounting for 300 instances out of 449 reported. Locations with traffic signals were associated with 119 instances, representing 26.5% of reported traffic control conditions. Uncontrolled locations accounted for 66.8% of reported traffic control conditions.

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 contributing factor among drivers was 'Following too Close / ACDA,' accounting for 78 incidents. 'Drove off Road' was cited in 38 incidents, and 'Failure to Yield' in 36 incidents. These three factors represent the leading improper actions contributing to crashes.

Driver Contributing Factor

1
Following too Close / ACDA78 (34.8%)
2
Drove off Road38 (17%)
3
Failure to Yield36 (16.1%)
4
Other Improper Action10 (4.5%)
5
Improper Backing9 (4%)
6
Swerving to Avoid7 (3.1%)
7
Not Discernible6 (2.7%)
8
Improper Lane Change6 (2.7%)
9
Improper Turn6 (2.7%)

Showing top 9 of 17 reported. 8 additional (28 total) not shown: Left of Center, Ran Red Light, Ran Stop Sign, Improper Passing, Unsafe Speed, Vision Obstruction, Operating Defective Equipment, 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 12 commercial vehicles were involved in crashes, comprising 4.5% of all crashes. This included 8 semi-tractor trailers and 4 other commercial vehicles.

Animal-Involved Crashes

Animal-strike crashes accounted for 45 incidents, representing 16.9% of all crashes. Deer were involved in 42 of these incidents, while other animals were involved in 3 incidents.

Impairment (Alcohol / Drugs)

There were 13 impairment-related crashes, representing 4.9% of all crashes. Alcohol was a factor in 9 incidents, while drugs were a factor in 2 incidents, and both alcohol and drugs were factors in 2 incidents.

Driver Condition

Beyond apparently normal conditions, 11 drivers were reported as 'Under the Influence of Medications / Drugs / Alcohol' at the time of their crash. Additionally, 4 drivers were noted to have 'Fell Asleep; Fainted; Fatigued; etc.'. These conditions represent 4.57% of all reported driver conditions.

Driver Condition

1
Apparently Normal406 (93.8%)
2
Under the Influence of Medications / Drugs / Alcohol11 (2.5%)
3
Other/Unknown7 (1.6%)
4
Fell Asleep; Fainted; Fatigued; etc.4 (0.9%)
5
Illness2 (0.5%)
6
Emotional (E.G.; Depressed; Angry; Disturbed)2 (0.5%)
7
Physical Impairment1 (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 distracted drivers, 'Other distraction inside the vehicle' was the most common, accounting for 9 incidents. Manually operating an electronic communication device was cited in 5 incidents, and 'Other distraction outside the vehicle' in 4 incidents. These specific distractions accounted for 24 instances out of 438 drivers.

Driver Distraction

1
Not Distracted401 (92.8%)
2
Other distraction inside the vehicle9 (2.1%)
3
Other/Unknown7 (1.6%)
4
Manually operating an electronic communication device (texting; typing; dialing)5 (1.2%)
5
Other distraction outside the vehicle4 (0.9%)
6
Other activity with an electronic device2 (0.5%)
7
Passenger2 (0.5%)
8
Talking on hand-held communication device2 (0.5%)

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

A total of 6.8% of crashes occurred on curves, including 9 on 'Curve Grade' and 9 on 'Curve Level' alignments. Crashes on grades, encompassing both 'Straight Grade' (34 incidents) and 'Curve Grade' (9 incidents), represented 16.2% of all crashes.

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 was 'Straight Ahead,' accounting for 243 instances. 'Slowing or Stopped In Traffic' was the second most frequent action with 109 instances. 'Making Left Turn' was reported in 37 instances, highlighting these as key actions immediately preceding crashes.

Pre-Crash Driver Action

1
Straight Ahead243 (54%)
2
Slowing or Stopped In Traffic109 (24.2%)
3
Making Left Turn37 (8.2%)
4
Entering Traffic Lane10 (2.2%)
5
Backing9 (2%)
6
Parked9 (2%)
7
Making Right Turn8 (1.8%)
8
Changing Lanes8 (1.8%)
9
Negotiating a Curve6 (1.3%)

Showing top 9 of 14 reported. 5 additional (11 total) not shown: Overtaking/Passing, Other/Unknown, Leaving Traffic Lane, Driverless, Walking; Running; Jogging; Playing.

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 'Not Collision Between Two Vehicles in Transport,' accounting for 105 crashes or 39.5%. 'Rear-end' collisions were the second most frequent, with 79 incidents (29.7%), followed by 'Angle' collisions at 57 incidents (21.4%).

Manner of Collision

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

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

Vehicle Type

Sport Utility Vehicles were the most common vehicle type involved in crashes, with 178 instances, closely followed by Passenger Cars with 174 instances. Commercial vehicles, including Semi-Tractors, Cargo Vans, and Single Unit Trucks, collectively accounted for 19 vehicles involved in crashes.

Vehicle Type

"Other" combines 4 smaller categories (9 records): Motorcycle 2 Wheeled (3), Other Vehicle (2), Pedestrian/Skater (2), Heavy Equipment (2).

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

Person Type

Drivers constituted the majority of persons involved in crashes, with 438 individuals, representing 81.6% of all persons. Occupants accounted for 97 individuals, or 18.1%, while pedestrians made up 2 individuals, or 0.4% of persons involved.

Person Type

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

Person Injury Severity

Out of 537 persons involved in crashes, 4 individuals (0.7%) sustained fatal injuries. A total of 121 persons (22.5%) sustained some level of injury (Serious, Minor, or Possible). The majority, 405 individuals (75.4%), sustained no 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 persons for whom safety equipment use was known, 94.4% were reported as using seat belts (shoulder and lap, shoulder only, or lap only). Only 2.1% of individuals were reported as using no safety equipment. Child restraint systems were used by 2.7% of individuals.

Occupant Safety Equipment

"Other" combines 2 smaller categories (2 records): Booster Seat (1), Child Restraint System - Rear Facing (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, 155 incidents, involved two vehicles. Single-vehicle crashes accounted for 97 incidents, representing 36.5% of all crashes. There was one crash involving four 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: Bainbridge, OH
  • Total crash records analyzed: 266
  • Total persons involved: 537
  • Total vehicles involved: 450

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). "Bainbridge, 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/bainbridge/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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Bainbridge, OH Crash Report — 2021 | ThatCarHitMe.com