Yearly Traffic Safety Analysis

209 CRASHES IN
BEREA, OH
2021

In 2021, Berea, OH experienced a total of 209 crashes, resulting in 1 fatality and 56 injuries. The vast majority of these incidents, 80.9% (169 crashes), were classified as 'No Injury' crashes, indicating a high proportion of property-damage-only collisions. The single fatal crash contributed to a fatality rate of 0.48% for the year.

209

Total Crash Events

1

Persons Killed

56

Persons Injured

15.3%

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

32

Hit-and-Run Crashes — 2021

A total of 32 hit-and-run crashes were reported in Berea, OH during 2021, representing 15.3% of all crashes. It is important to note that hit-and-run status is based on the responding officer's initial determination at the crash scene.

Vulnerable Road User Casualties

In 2021, there was 1 motorist killed and 51 motorists injured in crashes. Additionally, 5 pedestrians were injured, while no pedestrians or cyclists were killed. There were no reported injuries for cyclists during this period.

0

Pedestrians Killed

1

Motorists Killed

5

Pedestrians Injured

51

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 Berea, OH showed peak occurrences on Mondays and Fridays, each with 39 incidents. The peak hour for crashes was 5 p.m., with 20 incidents recorded. The data indicates that 74.6% (156) of crashes occurred during daylight hours, while 18.2% (38) 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 209 crashes in Berea, OH, 80.9% (169 crashes) resulted in no injuries. Injury-causing crashes (fatal, serious, minor, possible injury) collectively accounted for 19.1% (40 crashes) of the total. There was 1 fatal crash, which resulted in 1 fatality, illustrating that a single crash can lead to one or more fatalities.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.5%
Serious Injury7serious injury crashes3.3%
Minor Injury13minor injury crashes6.2%
Possible Injury19possible injury crashes9.1%
No Injury169no injury crashes80.9%

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 occurred under favorable conditions, with 65.1% (136 crashes) happening in clear weather, 74.2% (155 crashes) on dry road surfaces, and 74.6% (156 crashes) during daylight. Adverse conditions such as rain or snow were present in 16.7% (35 crashes), and wet, snowy, or icy road surfaces were reported in 24.4% (52 crashes) of incidents.

Weather

Clear136 (65.1%)
Cloudy36 (17.2%)
Rain24 (11.5%)
Snow11 (5.3%)
Other/Unknown2 (1.0%)

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

Lighting

Daylight156 (74.6%)
Dark - Lighted Roadway33 (15.8%)
Dawn/Dusk11 (5.3%)
Dark - Roadway Not Lighted4 (1.9%)
Other/Unknown4 (1.9%)
Dark - Unknown Roadway Lighting1 (0.5%)

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

Road Surface

Dry155 (74.2%)
Wet44 (21.1%)
Snow5 (2.4%)
Ice2 (1.0%)
Other/Unknown2 (1.0%)
Slush1 (0.5%)

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 most frequently represented in crash data was 26-34, accounting for 73 persons. Among vehicle makes, Ford and Chevrolet were the most common, with 49 and 48 vehicles involved, respectively. Passenger cars were the dominant vehicle type, comprising 49.9% (192) of all vehicles involved in crashes.

Top Vehicle Makes (385 vehicles)

1
FORD49 (12.7%)
2
CHEVROLET48 (12.5%)
3
HONDA35 (9.1%)
4
TOYOTA28 (7.3%)
5
KIA21 (5.5%)
6
NISSAN20 (5.2%)
7
JEEP17 (4.4%)
8
DODGE16 (4.2%)
9
SUBARU14 (3.6%)
10
HYUNDAI12 (3.1%)

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

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

Sex Distribution (464 persons with recorded sex)

Male246 (53.0%)
Female218 (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, 83.2% (174 crashes), occurred on the roadway. A total of 8.6% (18 crashes) happened off the travel lanes, including 9 on the roadside, 6 on the shoulder, and 3 in the median. An additional 13 crashes occurred outside the trafficway.

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 most frequent traffic control condition for vehicles involved in crashes was 'No Control,' accounting for 52.5% (202 vehicles). Signalized locations were associated with 38.4% (148 vehicles) of involved vehicles. Stop signs were present for 8.1% (31 vehicles) of involved 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

Among the contributing factors identified, 'Following too Close / ACDA' was the most common, associated with 64 drivers. 'Failure to Yield' was a factor for 34 drivers, and 'Other Improper Action' was noted for 17 drivers. These top three factors indicate common driver behaviors contributing to crashes.

Driver Contributing Factor

1
Following too Close / ACDA64 (30.8%)
2
Failure to Yield34 (16.3%)
3
Other Improper Action17 (8.2%)
4
Improper Backing16 (7.7%)
5
Drove off Road15 (7.2%)
6
Unsafe Speed11 (5.3%)
7
Left of Center9 (4.3%)
8
Ran Red Light8 (3.8%)
9
Improper Turn8 (3.8%)

Showing top 9 of 19 reported. 10 additional (26 total) not shown: Improper Lane Change, Not Discernible, Improper Passing, Improper Crossing, Stopped or Parked Illegally, Swerving to Avoid, Vision Obstruction, Operating Defective Equipment, Wrong Way, Ran Stop Sign.

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

Vulnerable Road Users & Motorcycles

A total of 9 crashes involved vulnerable road users, specifically pedestrians (5 crashes) and bicyclists (4 crashes). These combined incidents represent 4.3% of all crashes during the period. An additional 3 crashes involved motorcyclists.

Impairment (Alcohol / Drugs)

Impairment was a factor in 15 crashes, representing 7.2% of all incidents. Alcohol was reported in 8 instances, a combination of alcohol and drugs in 4 instances, and drugs alone in 3 instances.

Driver Condition

Abnormal driver conditions were noted for 28 drivers involved in crashes. This included 14 instances of drivers being under the influence of medications, drugs, or alcohol. Additionally, 9 drivers were reported as emotional, 3 as fatigued or having fallen asleep, and 2 with physical impairments.

Driver Condition

1
Apparently Normal304 (88.4%)
2
Under the Influence of Medications / Drugs / Alcohol14 (4.1%)
3
Other/Unknown12 (3.5%)
4
Emotional (E.G.; Depressed; Angry; Disturbed)9 (2.6%)
5
Fell Asleep; Fainted; Fatigued; etc.3 (0.9%)
6
Physical Impairment2 (0.6%)

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

Distraction was identified as a factor for 21 drivers in crashes. The most common specific distractions included other distractions outside the vehicle (7 drivers) and other distractions inside the vehicle (5 drivers). Communication device use, both hands-free and hand-held, was reported for 4 drivers.

Driver Distraction

1
Not Distracted283 (84.2%)
2
Other/Unknown32 (9.5%)
3
Other distraction outside the vehicle7 (2.1%)
4
Other distraction inside the vehicle5 (1.5%)
5
Talking on hands-free communication device3 (0.9%)
6
Other activity with an electronic device2 (0.6%)
7
Passenger2 (0.6%)
8
Talking on hand-held communication device1 (0.3%)
9
Manually operating an electronic communication device (texting; typing; dialing)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

Road Alignment

A total of 6.2% (13 crashes) occurred on curves, with 8 on curve level and 5 on curve grade alignments. Crashes on grades, including straight grade and curve grade, accounted for 10.0% (21 crashes) of all incidents. The majority of crashes, 86.1% (180 crashes), occurred on straight, level roadways.

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 for drivers was 'Straight Ahead,' accounting for 188 instances. 'Slowing or Stopped In Traffic' was the second most frequent action, with 56 instances. 'Making Left Turn' was also a notable action, reported for 41 drivers.

Pre-Crash Driver Action

1
Straight Ahead188 (48.8%)
2
Slowing or Stopped In Traffic56 (14.5%)
3
Making Left Turn41 (10.6%)
4
Parked22 (5.7%)
5
Backing21 (5.5%)
6
Making Right Turn17 (4.4%)
7
Changing Lanes13 (3.4%)
8
Other/Unknown9 (2.3%)
9
Leaving Traffic Lane5 (1.3%)

Showing top 9 of 14 reported. 5 additional (13 total) not shown: Walking; Running; Jogging; Playing, Overtaking/Passing, Negotiating a Curve, Entering Traffic Lane, Driverless.

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

Manner of Collision

Rear-end collisions were the dominant crash pattern, accounting for 34.4% (72 crashes) of all incidents. Angle collisions were the second most frequent, making up 22.5% (47 crashes). Crashes not involving two vehicles in transport represented 21.5% (45 crashes).

Manner of Collision

"Other" combines 2 smaller categories (2 records): Head-on (1), Rear-to-rear (1).

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 192 vehicles, or 49.9% of all vehicles. Sport Utility Vehicles (SUVs) were also significantly represented, with 98 vehicles involved. Commercial vehicles, including semi-tractors, cargo vans, single unit trucks, and buses, collectively comprised 5.5% (21) of all vehicles.

Vehicle Type

"Other" combines 8 smaller categories (22 records): Pedestrian/Skater (5), Bicycle (4), Motorcycle 2 Wheeled (3), Single Unit Truck (3), Bus (16+ Passengers) (3), Other Vehicle (2), Heavy Equipment (1), Van (9-15 Seats) (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, totaling 352 individuals. Occupants accounted for 128 persons, representing 26.4% of all individuals. Pedestrians were involved in 5 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

Among all persons involved in crashes, 1 person sustained fatal injuries, representing 0.2% of the total. A total of 56 persons sustained some level of injury (serious, minor, or possible), accounting for 11.5% of all individuals. The vast majority, 415 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

For persons with reported safety equipment use, 389 individuals used shoulder and lap belts. A notable 29 individuals were reported as using no safety equipment. Child restraint systems, including forward-facing and rear-facing, were used by 17 individuals.

Occupant Safety Equipment

"Other" combines 2 smaller categories (4 records): Lap Belt Only Used (3), Helmet Used (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, 157 incidents, involved two vehicles. Single-vehicle crashes accounted for 20.6% (43 crashes) of the total. Multi-vehicle crashes involving three or more vehicles were less common, representing 4.3% (9 crashes) of all incidents.

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: Berea, OH
  • Total crash records analyzed: 209
  • Total persons involved: 485
  • Total vehicles involved: 385

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). "Berea, 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/berea/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

ThatCarHitMe.com · An Injuria.ai Company

Berea, OH Crash Report — 2021 | ThatCarHitMe.com