Yearly Traffic Safety Analysis

385 CRASHES IN
BROOK PARK, OH
2021

In 2021, Brook Park, OH experienced 385 traffic crashes, resulting in 1 fatality and 170 injuries. A significant majority of these incidents, 71.2%, were reported as having no injuries.

385

Total Crash Events

1

Persons Killed

170

Persons Injured

13.2%

Hit-and-Run Rate

Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) 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

51

Hit-and-Run Crashes — 2021

Hit-and-run incidents accounted for 51 crashes in Brook Park during 2021, representing 13.2% of all crashes. This classification is based on the initial determination made by the responding officer at the scene of the crash.

Vulnerable Road User Casualties

In 2021, there was 1 motorist fatality and 166 motorists injured in Brook Park crashes. Four pedestrians sustained injuries, while no pedestrians or cyclists were killed or injured in crashes during this period.

0

Pedestrians Killed

1

Motorists Killed

4

Pedestrians Injured

166

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

Traffic crashes in Brook Park in 2021 peaked on Wednesdays with 80 incidents, and the most frequent hour for crashes was 5 p.m., recording 38 incidents. The majority of crashes, 260 out of 385 (67.5%), occurred during daylight hours, while 103 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

Of the 385 crashes in Brook Park, 71.2% resulted in no injuries, indicating property damage only. Injury-causing crashes accounted for 28.6% of the total, with 110 crashes leading to injuries of varying severity. There was 1 fatal crash, which resulted in 1 fatality.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.3%
Serious Injury15serious injury crashes3.9%
Minor Injury47minor injury crashes12.2%
Possible Injury48possible injury crashes12.5%
No Injury274no injury crashes71.2%

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

A majority of crashes occurred under optimal conditions, with 211 crashes (54.8%) happening in clear weather, 286 crashes (74.3%) on dry road surfaces, and 260 crashes (67.5%) during daylight. However, adverse conditions also contributed to incidents, with 48 crashes occurring in rain, 83 on wet roads, and 103 in dark conditions.

Weather

Clear211 (54.8%)
Cloudy105 (27.3%)
Rain48 (12.5%)
Snow18 (4.7%)
Severe Crosswinds2 (0.5%)
Other/Unknown1 (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

Daylight260 (67.5%)
Dark - Lighted Roadway101 (26.2%)
Dawn/Dusk18 (4.7%)
Other/Unknown4 (1.0%)
Dark - Roadway Not Lighted2 (0.5%)

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

Road Surface

Dry286 (74.3%)
Wet83 (21.6%)
Snow12 (3.1%)
Other/Unknown2 (0.5%)
Ice1 (0.3%)
Water (Standing; Moving)1 (0.3%)

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 26-34 age group was the most represented, accounting for 193 individuals. The most frequently involved vehicle makes were Chevrolet with 99 vehicles, followed by Ford with 96 vehicles, and Toyota with 67 vehicles.

Top Vehicle Makes (727 vehicles)

1
CHEVROLET99 (13.6%)
2
FORD96 (13.2%)
3
TOYOTA67 (9.2%)
4
KIA51 (7%)
5
HONDA46 (6.3%)
6
DODGE37 (5.1%)
7
HYUNDAI34 (4.7%)
8
NISSAN33 (4.5%)
9
JEEP26 (3.6%)
10
GMC23 (3.2%)

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

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

Sex Distribution (882 persons with recorded sex)

Male503 (57.0%)
Female379 (43.0%)

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 first harmful events, 330 out of 385 crashes, occurred on the roadway. Crashes where the first harmful event occurred off the main travel lanes, such as on the shoulder, roadside, or in the median, totaled 38 incidents, representing 9.9% of all crashes.

Crash Location (First Harmful Event)

"Other" combines 3 smaller categories (4 records): On Gore (2), Off 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

Traffic control data, recorded per vehicle, indicates that 454 instances (62.4%) involved locations with no traffic control. Signalized intersections accounted for 240 instances (33.0%) of vehicles involved in crashes.

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 the identified contributing factors, 'Following too Close / ACDA' was the most frequent, accounting for 102 instances (30.6%) of non-skipped factors. 'Other Improper Action' was noted in 50 instances (15.0%), and 'Improper Lane Change' in 40 instances (12.0%).

Driver Contributing Factor

1
Following too Close / ACDA102 (27.2%)
2
Other Improper Action50 (13.3%)
3
Improper Lane Change40 (10.7%)
4
Failure to Yield36 (9.6%)
5
Not Discernible22 (5.9%)
6
Improper Backing21 (5.6%)
7
Drove off Road20 (5.3%)
8
Improper Turn14 (3.7%)
9
Left of Center13 (3.5%)

Showing top 9 of 18 reported. 9 additional (57 total) not shown: Ran Red Light, Swerving to Avoid, Unsafe Speed, Ran Stop Sign, Improper Passing, Operating Defective Equipment, Vision Obstruction, Load shifting/Falling/Spilling, Improper Start From a Parked Position.

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 accounted for 43 incidents, representing 11.2% of all crashes. These included 26 'Other Commercial Vehicle' incidents and 17 'Semi-Tractor Trailer' incidents.

Vulnerable Road Users & Motorcycles

Crashes involving vulnerable road users or motorcycles totaled 11 incidents, representing 2.9% of all crashes. This included 3 pedestrians and 1 bicyclist, totaling 4 pedestrian and bicyclist incidents, alongside 7 motorcyclist incidents.

Impairment (Alcohol / Drugs)

Impairment was a factor in 27 reported instances, accounting for 7.0% of all crashes. Alcohol was noted in 19 instances, while 4 instances involved both alcohol and drugs, and another 4 instances involved drugs alone.

Driver Condition

Among recorded driver conditions, 33 instances (5.0% of non-skipped conditions) indicated an abnormal state. This included 20 instances of drivers reported as being under the influence of medications, drugs, or alcohol, 8 instances of emotional distress, 3 instances of falling asleep or fatigue, and 2 instances of illness.

Driver Condition

1
Apparently Normal606 (91.4%)
2
Other/Unknown24 (3.6%)
3
Under the Influence of Medications / Drugs / Alcohol20 (3%)
4
Emotional (E.G.; Depressed; Angry; Disturbed)8 (1.2%)
5
Fell Asleep; Fainted; Fatigued; etc.3 (0.5%)
6
Illness2 (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

Specific driver distractions were identified in 29 instances, representing 4.4% of non-skipped driver distraction records. These included 11 instances of other distractions inside the vehicle, 7 instances of other distractions outside the vehicle, and 5 instances of manually operating an electronic communication device.

Driver Distraction

1
Not Distracted593 (89.4%)
2
Other/Unknown41 (6.2%)
3
Other distraction inside the vehicle11 (1.7%)
4
Other distraction outside the vehicle7 (1.1%)
5
Manually operating an electronic communication device (texting; typing; dialing)5 (0.8%)
6
Passenger3 (0.5%)
7
Other activity with an electronic device2 (0.3%)
8
Talking on hand-held communication 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

Roadway alignment analysis shows that 38 crashes (9.9%) occurred on curves, comprising 24 on curve level segments and 14 on curve grade segments. Additionally, 35 crashes (9.1%) occurred on grades, including 21 on straight grade and 14 on curve grade sections.

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

Immediately prior to crashes, the most frequent driver action was 'Straight Ahead,' accounting for 373 instances (52.4%) of non-skipped pre-crash actions. 'Slowing or Stopped In Traffic' was reported in 121 instances (17.0%), and 'Changing Lanes' in 56 instances (7.9%).

Pre-Crash Driver Action

1
Straight Ahead373 (51.3%)
2
Slowing or Stopped In Traffic121 (16.6%)
3
Changing Lanes56 (7.7%)
4
Making Left Turn54 (7.4%)
5
Parked32 (4.4%)
6
Backing21 (2.9%)
7
Making Right Turn17 (2.3%)
8
Other/Unknown13 (1.8%)
9
Negotiating a Curve10 (1.4%)

Showing top 9 of 17 reported. 8 additional (30 total) not shown: Entering Traffic Lane, Overtaking/Passing, Leaving Traffic Lane, Making U-Turn, Driverless, Standing, Entering or Crossing Specified Location, 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 most common manner of collision was 'Rear-end,' accounting for 107 crashes or 27.8% of all incidents. 'Angle' collisions were the second most frequent, making up 95 crashes or 24.7% of the total.

Manner of Collision

"Other" combines 1 smaller categories (4 records): Head-on (4).

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 399 vehicles (54.9%) out of 727 total vehicles. Commercial vehicles, including semi-tractors, single unit trucks, cargo vans, and buses, collectively represented 49 vehicles or 6.7% of all vehicles involved.

Vehicle Type

"Other" combines 9 smaller categories (35 records): Single Unit Truck (12), Motorcycle 2 Wheeled (9), Other Vehicle (5), Pedestrian/Skater (3), Bus (16+ Passengers) (2), Wheelchair (Any type) (1), Heavy Equipment (1), Van (9-15 Seats) (1), Bicycle (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 largest group of persons involved in crashes, with 684 individuals representing 74.3% of all persons. Pedestrians accounted for 4 individuals, comprising 0.43% of all persons recorded.

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 920 persons involved in crashes, 1 individual sustained fatal injuries, representing 0.11% of all persons. A total of 170 persons sustained injuries of varying severity (serious, minor, or possible), accounting for 18.48% of all 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

Safety equipment usage records indicate that 'Shoulder and Lap Belt Used' was the most common, reported in 755 instances. Notably, 'None Used' was recorded in 42 instances, representing 5.0% of all non-skipped safety equipment records.

Occupant Safety Equipment

"Other" combines 2 smaller categories (10 records): Helmet Used (5), Lap Belt Only Used (5).

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 74 incidents, representing 19.2% of the 385 total crashes. The data also shows 3 crashes involved four or more vehicles, with two crashes involving four vehicles and one crash involving five 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: Brook Park, OH
  • Total crash records analyzed: 385
  • Total persons involved: 920
  • Total vehicles involved: 727

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). "Brook Park, 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/brook-park/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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Brook Park, OH Crash Report — 2021 | ThatCarHitMe.com