Yearly Traffic Safety Analysis

420 CRASHES IN
BEACHWOOD, OH
2021

In 2021, Beachwood experienced 420 crashes, resulting in 0 fatalities and 221 injuries. The most common crash type was rear-end collisions, accounting for 45.5% of all incidents.

420

Total Crash Events

0

Persons Killed

221

Persons Injured

10.2%

Hit-and-Run Rate

Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (0) 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

43

Hit-and-Run Crashes — 2021

Hit-and-run incidents constituted 43 of the 420 crashes in 2021, representing 10.2% of all crashes. It is important to note that hit-and-run status is based on the responding officer's initial determination.

Vulnerable Road User Casualties

In 2021, no fatalities were reported among pedestrians, cyclists, or motorists. Motorists experienced the highest number of injuries, with 216 individuals injured. Additionally, 5 pedestrians were injured in crashes, while no cyclists were reported injured.

0

Pedestrians Killed

0

Motorists Killed

5

Pedestrians Injured

216

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 data for 2021 indicates that the highest number of crashes occurred on Fridays, with 75 incidents, and the peak hour for crashes was 3 PM, with 50 incidents. The majority of crashes, 317 out of 420, happened during daylight hours, while 90 crashes occurred in dark conditions (88 on lighted roadways and 2 on unlighted roadways).

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 420 crashes in 2021, 0 were fatal crashes. The majority, 267 crashes (63.6%), resulted in no injuries. Injury-involved crashes, encompassing serious, minor, and possible injuries, accounted for 153 incidents (36.4%) in total. It is important to note that while no fatal crashes occurred, the total number of fatalities (persons killed) may differ from fatal crashes, as one crash can involve multiple fatalities.

Outcome by Severity (Crash Events)

Serious Injury6serious injury crashes1.4%
Minor Injury40minor injury crashes9.5%
Possible Injury107possible injury crashes25.5%
No Injury267no injury crashes63.6%

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 under clear weather conditions (228 crashes), on dry road surfaces (300 crashes), and during daylight hours (317 crashes). Adverse weather conditions such as rain contributed to 44 crashes, and snow to 34 crashes, while wet road surfaces were present in 90 crashes and snowy surfaces in 23 crashes.

Weather

Clear228 (54.3%)
Cloudy111 (26.4%)
Rain44 (10.5%)
Snow34 (8.1%)
Freezing Rain or Freezing Drizzle1 (0.2%)
Fog; Smog; Smoke1 (0.2%)
Other/Unknown1 (0.2%)

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

Lighting

Daylight317 (75.5%)
Dark - Lighted Roadway88 (21.0%)
Dawn/Dusk13 (3.1%)
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

Dry300 (71.4%)
Wet90 (21.4%)
Snow23 (5.5%)
Ice6 (1.4%)
Slush1 (0.2%)

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

Vehicles & Demographics

Among persons involved in crashes, the 26-34 age group was most represented with 196 individuals, followed by the 0-15 and 35-44 age groups, both with 138 individuals. Passenger cars were the most frequently involved vehicle type, accounting for 440 vehicles, with Sport Utility Vehicles being the second most common at 257. The most frequently reported vehicle makes, excluding 'OTHER/UNKNOWN', were Chevrolet with 66 vehicles and Toyota with 53 vehicles.

Top Vehicle Makes (838 vehicles)

1
OTHER/UNKNOWN453 (54.1%)
2
CHEVROLET66 (7.9%)
3
TOYOTA53 (6.3%)
4
FORD41 (4.9%)
5
NISSAN33 (3.9%)
6
HONDA31 (3.7%)
7
HYUNDAI31 (3.7%)
8
JEEP27 (3.2%)
9
SUBARU24 (2.9%)
10
DODGE13 (1.6%)

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

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

Sex Distribution (1,117 persons with recorded sex)

Female560 (50.1%)
Male557 (49.9%)

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 vast majority of crashes, 390 out of 420, occurred on the roadway itself. A smaller proportion of crashes, 19 incidents, happened off the main travel lanes, specifically on the shoulder (8), in the median (6), or on the roadside (5), indicating some 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

Among vehicles involved in crashes, 'No Control' was the dominant traffic control condition, associated with 620 vehicles. Locations with signal control accounted for 207 vehicles involved in crashes, representing 24.7% of vehicles with known traffic control. Conversely, uncontrolled locations (no control, stop sign, or yield sign) were associated with 629 vehicles, or 75.1% of vehicles with known traffic control.

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 among drivers was 'Following too Close / ACDA', accounting for 190 instances. Other significant contributing factors included 'Failure to Yield' with 57 instances and 'Improper Lane Change' with 44 instances. These top three factors collectively represent a substantial portion of reported improper actions.

Driver Contributing Factor

1
Following too Close / ACDA190 (44.2%)
2
Failure to Yield57 (13.3%)
3
Improper Lane Change44 (10.2%)
4
Not Discernible33 (7.7%)
5
Other Improper Action31 (7.2%)
6
Ran Red Light17 (4%)
7
Improper Turn16 (3.7%)
8
Drove off Road15 (3.5%)
9
Improper Backing9 (2.1%)

Showing top 9 of 17 reported. 8 additional (18 total) not shown: Left of Center, Unsafe Speed, Improper Passing, Swerving to Avoid, Vision Obstruction, Operating Defective Equipment, Ran Stop Sign, Load shifting/Falling/Spilling.

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

Impairment (Alcohol / Drugs)

Impairment was a factor in 13 crashes, representing 3.1% of all incidents. Among these, alcohol impairment was noted in 7 instances, a combination of alcohol and drugs in 4 instances, and drug impairment alone in 2 instances. It is important to consider that impairment is often under-reported, so these figures may represent a floor.

Driver Condition

Among drivers involved in crashes, 13 were reported as being 'Under the Influence of Medications / Drugs / Alcohol'. Additionally, 2 drivers were noted as 'Emotional', 2 had 'Fell Asleep; Fainted; Fatigued; etc.', and 1 had a 'Physical Impairment'. These abnormal conditions were identified in 18 drivers out of 825 drivers with known conditions.

Driver Condition

1
Apparently Normal771 (94.5%)
2
Other/Unknown27 (3.3%)
3
Under the Influence of Medications / Drugs / Alcohol13 (1.6%)
4
Emotional (E.G.; Depressed; Angry; Disturbed)2 (0.2%)
5
Fell Asleep; Fainted; Fatigued; etc.2 (0.2%)
6
Physical Impairment1 (0.1%)

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 30 drivers. 'Other distraction inside the vehicle' was the most frequent specific distraction, reported for 18 drivers. Operating an electronic communication device (4 drivers) and other distractions outside the vehicle (4 drivers) were also noted.

Driver Distraction

1
Not Distracted708 (87.2%)
2
Other/Unknown74 (9.1%)
3
Other distraction inside the vehicle18 (2.2%)
4
Manually operating an electronic communication device (texting; typing; dialing)4 (0.5%)
5
Other distraction outside the vehicle4 (0.5%)
6
Other activity with an electronic device2 (0.2%)
7
Passenger1 (0.1%)
8
Talking on hand-held communication device1 (0.1%)

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, 388 out of 420, occurred on straight, level road alignments. Crashes on curves (Curve Level or Curve Grade) accounted for 14 incidents, representing 3.3% of all crashes. Additionally, 21 crashes occurred on grades (Straight Grade or Curve Grade), making up 5.0% of the total.

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 vehicles was 'Straight Ahead', accounting for 419 instances, or 50.0% of vehicles with known actions. 'Slowing or Stopped In Traffic' was the second most frequent action, with 203 instances (24.2%), followed by 'Making Left Turn' with 63 instances (7.5%).

Pre-Crash Driver Action

1
Straight Ahead419 (50%)
2
Slowing or Stopped In Traffic203 (24.2%)
3
Making Left Turn63 (7.5%)
4
Changing Lanes59 (7%)
5
Making Right Turn36 (4.3%)
6
Entering Traffic Lane13 (1.6%)
7
Other/Unknown10 (1.2%)
8
Backing10 (1.2%)
9
Parked8 (1%)

Showing top 9 of 15 reported. 6 additional (17 total) not shown: Negotiating a Curve, Overtaking/Passing, Leaving Traffic Lane, 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

Rear-end collisions were the dominant manner of collision, accounting for 191 crashes, which is 45.5% of all incidents. Angle collisions were the second most frequent, with 89 crashes (21.2%), followed by sideswipe collisions in the same direction, which occurred in 71 crashes (16.9%).

Manner of Collision

"Other" combines 2 smaller categories (2 records): Other/Unknown (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 common vehicle type involved in crashes, accounting for 440 vehicles. Sport Utility Vehicles followed with 257 vehicles. Commercial vehicles, including Semi-Tractors, Cargo Vans, Buses, and Single Unit Trucks, collectively comprised 29 vehicles, representing 3.5% of all vehicles involved.

Vehicle Type

"Other" combines 8 smaller categories (28 records): Unknown or Hit/Skip (8), Bus (16+ Passengers) (7), Single Unit Truck (5), Pedestrian/Skater (4), Wheelchair (Any type) (1), Motorcycle 2 Wheeled (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 dominant role among persons involved in crashes, with 825 individuals. Occupants (passengers) accounted for 312 individuals, representing 27.3% of all persons. Additionally, 5 pedestrians were involved in crashes, making up 0.44% of the total persons.

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, 0 fatalities were reported. A total of 221 individuals sustained injuries, representing 19.4% of all persons. This included 9 serious injuries (A), 63 minor injuries (B), and 149 possible injuries (C), while 894 persons reported 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

The majority of individuals, 959, were reported to have used a shoulder and lap belt. However, 66 individuals were noted as using no safety equipment, representing 6.1% of those with known safety equipment usage. Additionally, various child restraint systems were used by 43 individuals.

Occupant Safety Equipment

"Other" combines 2 smaller categories (7 records): Booster Seat (6), 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, 347 out of 420, involved two vehicles. Single-vehicle crashes accounted for 40 incidents, representing 9.5% of all crashes. A small number of multi-vehicle incidents included 30 crashes involving three vehicles, 1 crash involving four vehicles, and 2 crashes 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 6, 2026

Data Coverage

  • Reporting period: 2021-01-01 through 2021-12-31 (365 days)
  • Geographic scope: Beachwood, OH
  • Total crash records analyzed: 420
  • Total persons involved: 1,142
  • Total vehicles involved: 838

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). "Beachwood, 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/beachwood/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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Beachwood, OH Crash Report — 2021 | ThatCarHitMe.com