Yearly Traffic Safety Analysis

182 CRASHES IN
BRATENAHL, OH
2021

In Bratenahl during 2021, there were 182 crashes, resulting in 2 fatalities and 94 injuries. A notable finding is that 28.6% of all crashes were reported as hit-and-run incidents.

182

Total Crash Events

2

Persons Killed

94

Persons Injured

28.6%

Hit-and-Run Rate

Note: "Persons Killed" (2) counts individual fatalities across all crash events. "Fatal" in the severity table below (2) 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

52

Hit-and-Run Crashes — 2021

In Bratenahl during 2021, there were 52 reported hit-and-run crashes, accounting for 28.6% of all crashes. The determination of a crash as a hit-and-run incident is based on the initial assessment by the responding officer.

Vulnerable Road User Casualties

In Bratenahl during 2021, motorists accounted for all 2 fatalities and 94 injuries. There were no reported fatalities or injuries among pedestrians or cyclists in crashes during this period.

2

Motorists Killed

94

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 Bratenahl during 2021 occurred most frequently on Fridays, with 30 incidents. The peak hour for crashes was 10p, recording 13 incidents. A majority of crashes, 107 out of 182, happened during daylight, dawn, or dusk hours, while 75 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

Of the 182 crashes in Bratenahl during 2021, 122 (67%) resulted in no injuries. Injury crashes, including serious, minor, and possible injuries, accounted for 58 incidents, representing 31.9% of all crashes. There were 2 fatal crashes, resulting in 2 fatalities.

Outcome by Severity (Crash Events)

Fatal2fatal crashes1.1%
Serious Injury11serious injury crashes6%
Minor Injury23minor injury crashes12.6%
Possible Injury24possible injury crashes13.2%
No Injury122no injury crashes67%

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

During 2021, the majority of crashes in Bratenahl occurred under clear weather conditions (115 incidents), on dry road surfaces (138 incidents), and during daylight hours (101 incidents). However, 67 crashes occurred in adverse weather conditions such as cloudy, rain, or snow. Additionally, 44 crashes took place on wet, snowy, or icy road surfaces, and 75 crashes occurred in dark lighting conditions.

Weather

Clear115 (63.2%)
Cloudy34 (18.7%)
Rain21 (11.5%)
Snow10 (5.5%)
Severe Crosswinds1 (0.5%)
Sleet; Hail1 (0.5%)

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

Lighting

Daylight101 (55.5%)
Dark - Lighted Roadway72 (39.6%)
Dawn/Dusk6 (3.3%)
Dark - Roadway Not Lighted3 (1.6%)

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

Road Surface

Dry138 (75.8%)
Wet37 (20.3%)
Snow5 (2.7%)
Ice2 (1.1%)

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

Vehicles & Demographics

The age group 26-34 was most represented among persons involved in crashes, with 97 individuals. Among vehicle makes, Chevrolet vehicles were involved in the highest number of crashes, totaling 53 incidents. Ford was the second most frequent make, involved in 48 crashes.

Top Vehicle Makes (331 vehicles)

1
CHEVROLET53 (16%)
2
FORD48 (14.5%)
3
HONDA27 (8.2%)
4
TOYOTA25 (7.6%)
5
OTHER/UNKNOWN21 (6.3%)
6
DODGE16 (4.8%)
7
KIA14 (4.2%)
8
CHRYSLER14 (4.2%)
9
NISSAN14 (4.2%)
10
JEEP11 (3.3%)

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

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

Sex Distribution (418 persons with recorded sex)

Male258 (61.7%)
Female160 (38.3%)

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 (144 incidents) occurred directly on the roadway. However, 38 crashes, representing 20.9% of all incidents, occurred outside the main travel lanes, including on shoulders, ramps, in the median, or 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 reported instances of traffic control at crash locations, 'No Control' was the dominant condition, accounting for 269 instances or 81.5% of the recorded values. Locations with signalized control, including signals and flashers, were associated with 58 instances, representing 17.6%.

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 reported contributing factors, 'Following too Close / ACDA' was the most frequent, cited in 54 instances or 31.2% of all specified factors. 'Drove off Road' was noted in 32 instances (18.5%), and 'Improper Lane Change' in 25 instances (14.5%). These three factors collectively represent 64.2% of all specified contributing factors.

Driver Contributing Factor

1
Following too Close / ACDA54 (31.2%)
2
Drove off Road32 (18.5%)
3
Improper Lane Change25 (14.5%)
4
Other Improper Action11 (6.4%)
5
Unsafe Speed11 (6.4%)
6
Swerving to Avoid10 (5.8%)
7
Operating Defective Equipment8 (4.6%)
8
Improper Passing7 (4%)
9
Failure to Yield5 (2.9%)

Showing top 9 of 17 reported. 8 additional (10 total) not shown: Not Discernible, Improper Turn, Wrong Way, Left of Center, Load shifting/Falling/Spilling, Ran Red Light, Stopped or Parked Illegally, Improper Backing.

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

Commercial / Truck Involvement

Commercial vehicles were involved in 13 crashes, accounting for 7.1% of all crashes. Within this category, 7 incidents involved Semi-Tractor Trailers, while 6 involved Other Commercial Vehicles.

Impairment (Alcohol / Drugs)

There were 23 reported impairment-related incidents, representing 12.6% of all crashes. Of these, 17 involved alcohol, 5 involved drugs, and 1 involved both alcohol and drugs. It is important to note that impairment data may be under-reported.

Driver Condition

Among drivers involved in crashes, 20 were reported as 'Under the Influence of Medications / Drugs / Alcohol'. Additionally, 1 driver was noted as 'Emotional' and 1 as having 'Fell Asleep; Fainted; Fatigued; etc.'. These abnormal conditions collectively accounted for 22 instances, representing 6.8% of all drivers.

Driver Condition

1
Apparently Normal242 (77.3%)
2
Other/Unknown49 (15.7%)
3
Under the Influence of Medications / Drugs / Alcohol20 (6.4%)
4
Emotional (E.G.; Depressed; Angry; Disturbed)1 (0.3%)
5
Fell Asleep; Fainted; Fatigued; etc.1 (0.3%)

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 reported in 9 instances. These included 4 instances of 'Other distraction outside the vehicle,' 3 of 'Other distraction inside the vehicle,' 1 of 'Other activity with an electronic device,' and 1 involving a 'Passenger.' These specific distractions accounted for 2.8% of all drivers involved in crashes.

Driver Distraction

1
Not Distracted260 (83.1%)
2
Other/Unknown44 (14.1%)
3
Other distraction outside the vehicle4 (1.3%)
4
Other distraction inside the vehicle3 (1%)
5
Other activity with an electronic device1 (0.3%)
6
Passenger1 (0.3%)

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, 148 incidents, occurred on straight, level road alignments. However, 16 crashes (8.8%) took place on curves, and 20 crashes (11.0%) occurred on graded sections of roadway, including both straight and curved grades.

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 crashes, the most common driver action reported was 'Straight Ahead,' accounting for 190 vehicle involvements, or 57.4% of all pre-crash actions. 'Slowing or Stopped In Traffic' was noted in 64 instances (19.3%), and 'Changing Lanes' in 25 instances (7.6%).

Pre-Crash Driver Action

1
Straight Ahead190 (57.4%)
2
Slowing or Stopped In Traffic64 (19.3%)
3
Changing Lanes25 (7.6%)
4
Making Left Turn14 (4.2%)
5
Other/Unknown9 (2.7%)
6
Parked8 (2.4%)
7
Negotiating a Curve7 (2.1%)
8
Overtaking/Passing6 (1.8%)
9
Entering Traffic Lane3 (0.9%)

Showing top 9 of 12 reported. 3 additional (5 total) not shown: Making Right Turn, Leaving Traffic Lane, Backing.

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

Manner of Collision

The most frequent manner of collision was 'Not Collision Between Two Vehicles in Transport,' accounting for 71 incidents or 39% of all crashes. 'Rear-end' collisions were the second most common, representing 57 incidents or 31.3% of crashes. 'Sideswipe; same direction' collisions also occurred frequently, with 37 incidents or 20.3%.

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, accounting for 156 vehicles. Sport Utility Vehicles followed with 104 involvements. Pickup trucks, semi-tractors, single unit trucks, and cargo vans collectively represented 49 vehicle involvements, making up 14.8% of all vehicles in crashes.

Vehicle Type

"Other" combines 2 smaller categories (9 records): Cargo Van (8), Motorhome (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 323 individuals, representing 70.4% of all persons. Occupants accounted for the remaining 136 individuals, or 29.6% of persons involved. No pedestrians or cyclists were involved in crashes during this period.

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 459 persons involved in crashes, 2 individuals sustained fatal injuries, representing 0.4% of all persons. An additional 94 individuals sustained injuries of serious, minor, or possible severity, accounting for 20.5% of all persons. The majority, 333 persons, 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 reported, 359 individuals used a shoulder and lap belt. However, 21 individuals, representing 4.6% of all persons, were reported as using no safety equipment. Child restraint systems were used by 19 individuals.

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

Single-vehicle crashes accounted for 63 incidents, representing 34.6% of all crashes. The majority of crashes, 119 incidents, involved two or more vehicles. One crash involved 7 vehicles, indicating a multi-vehicle pile-up.

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: Bratenahl, OH
  • Total crash records analyzed: 182
  • Total persons involved: 459
  • Total vehicles involved: 331

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). "Bratenahl, 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/bratenahl/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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Bratenahl, OH Crash Report — 2021 | ThatCarHitMe.com