Yearly Traffic Safety Analysis

270 CRASHES IN
BEDFORD HEIGHTS, OH
2021

In 2021, Bedford Heights experienced 270 traffic crashes, resulting in 0 fatalities and 97 injuries. A significant portion of these incidents involved rear-end collisions, accounting for 34.8% of all crashes. Additionally, 14.4% of crashes were identified as hit-and-run incidents.

270

Total Crash Events

0

Persons Killed

97

Persons Injured

14.4%

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

39

Hit-and-Run Crashes — 2021

In 2021, there were 39 hit-and-run crashes in Bedford Heights, representing 14.4% of all reported crashes. This classification is based on the initial determination made by the responding officer at the scene.

Vulnerable Road User Casualties

In 2021, there were no fatalities reported for pedestrians, cyclists, or motorists in Bedford Heights. A total of 97 motorists sustained injuries in crashes. There were no reported injuries for pedestrians or cyclists during this period.

0

Motorists Killed

97

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 Friday was the peak day for crashes, with 58 incidents reported. The peak hour for crashes was 6 p.m., also with 21 incidents. A majority of crashes, 172 out of 270 (63.7%), occurred during daylight hours, while 89 crashes (33%) 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

In 2021, 206 crashes (76.3%) in Bedford Heights resulted in no injuries. Injury-involved crashes, encompassing serious, minor, and possible injuries, accounted for 64 incidents, or 23.7% of all crashes. There were no fatal crashes reported, resulting in 0 total fatalities during this period.

Outcome by Severity (Crash Events)

Serious Injury9serious injury crashes3.3%
Minor Injury17minor injury crashes6.3%
Possible Injury38possible injury crashes14.1%
No Injury206no injury crashes76.3%

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 significant majority of crashes occurred under favorable environmental conditions: 161 crashes (59.6%) happened during clear weather, 207 crashes (76.7%) occurred on dry road surfaces, and 172 crashes (63.7%) took place during daylight hours. Conversely, 20 crashes occurred during rain and 12 during snow, while 49 crashes happened on wet roads and 5 on icy roads.

Weather

Clear161 (59.6%)
Cloudy75 (27.8%)
Rain20 (7.4%)
Snow12 (4.4%)
Freezing Rain or Freezing Drizzle1 (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

Daylight172 (63.7%)
Dark - Lighted Roadway77 (28.5%)
Dark - Roadway Not Lighted11 (4.1%)
Dawn/Dusk9 (3.3%)
Dark - Unknown Roadway Lighting1 (0.4%)

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

Road Surface

Dry207 (76.7%)
Wet49 (18.1%)
Snow9 (3.3%)
Ice5 (1.9%)

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 years was the most represented in crashes, with 110 individuals involved, followed by the 45-54 age group with 98 individuals. Among vehicle makes, Chevrolet was the most frequently involved, with 60 vehicles, followed by Ford with 56 vehicles and Nissan with 37 vehicles.

Top Vehicle Makes (513 vehicles)

1
CHEVROLET60 (11.7%)
2
FORD56 (10.9%)
3
OTHER/UNKNOWN40 (7.8%)
4
NISSAN37 (7.2%)
5
TOYOTA36 (7%)
6
HONDA31 (6%)
7
JEEP28 (5.5%)
8
DODGE28 (5.5%)
9
HYUNDAI24 (4.7%)
10
KIA24 (4.7%)

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

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

Sex Distribution (642 persons with recorded sex)

Male362 (56.4%)
Female280 (43.6%)

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)

The majority of crashes, 245 out of 270, occurred directly on the roadway. A smaller proportion of crashes, 12 incidents (4.4%), occurred off the main travel lanes, specifically on the roadside (5), on the shoulder (5), or in the median (2).

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

A substantial portion of crash-involved locations, 313 out of 511 recorded instances, had no traffic control present. Signalized intersections accounted for 154 instances (30.1%), while stop signs were present in 29 instances. Locations with no control were the dominant category, representing 61.2% of all traffic control mentions.

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 in crashes was 'Following too Close / ACDA,' accounting for 92 instances. Other significant factors included 'Failure to Yield' and 'Improper Lane Change,' each contributing 28 instances. 'Drove off Road' was cited in 18 instances, and 'Improper Turn' in 13 instances.

Driver Contributing Factor

1
Following too Close / ACDA92 (33.3%)
2
Other Improper Action48 (17.4%)
3
Failure to Yield28 (10.1%)
4
Improper Lane Change28 (10.1%)
5
Drove off Road18 (6.5%)
6
Not Discernible15 (5.4%)
7
Improper Turn13 (4.7%)
8
Improper Backing8 (2.9%)
9
Ran Red Light7 (2.5%)

Showing top 9 of 17 reported. 8 additional (19 total) not shown: Ran Stop Sign, Load shifting/Falling/Spilling, Swerving to Avoid, Left of Center, Improper Passing, Stopped or Parked Illegally, Operating Defective Equipment, Unsafe Speed.

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

Commercial / Truck Involvement

Crashes involved 29 commercial vehicles, representing 5.65% of all vehicles in crashes. Among these, 17 were Semi-Tractor Trailers and 12 were other commercial vehicles. This indicates a notable presence of heavy vehicles in the crash data.

Driver Condition

Among drivers involved in crashes, 12 were noted as being 'Under the Influence of Medications / Drugs / Alcohol.' Additionally, 6 drivers were reported as 'Emotional,' and 4 drivers had 'Fell Asleep; Fainted; Fatigued; etc.' These abnormal conditions collectively accounted for 24 instances, representing 4.9% of all drivers.

Driver Condition

1
Apparently Normal431 (89.6%)
2
Other/Unknown26 (5.4%)
3
Under the Influence of Medications / Drugs / Alcohol12 (2.5%)
4
Emotional (E.G.; Depressed; Angry; Disturbed)6 (1.2%)
5
Fell Asleep; Fainted; Fatigued; etc.4 (0.8%)
6
Physical Impairment2 (0.4%)

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 a factor in 13 instances. The most common specific distraction was 'Other distraction inside the vehicle,' cited in 7 cases. 'Manually operating an electronic communication device' was reported 3 times, while 'Other activity with an electronic device,' 'Passenger,' and 'Talking on hand-held communication device' were each cited once.

Driver Distraction

1
Not Distracted421 (89%)
2
Other/Unknown39 (8.2%)
3
Other distraction inside the vehicle7 (1.5%)
4
Manually operating an electronic communication device (texting; typing; dialing)3 (0.6%)
5
Other activity with an electronic device1 (0.2%)
6
Passenger1 (0.2%)
7
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

The majority of crashes, 207 out of 270, occurred on straight, level road alignments. Crashes on curves (Curve Grade or Curve Level) accounted for 30 incidents, representing 11.1% of all crashes. Additionally, 53 crashes (19.6%) occurred on roadways with a grade (Straight Grade or Curve Grade), which can elevate crash risk.

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 was 'Straight Ahead,' accounting for 247 instances. 'Slowing or Stopped In Traffic' was the second most frequent action, with 101 instances. 'Making Left Turn' was also a notable pre-crash action, occurring in 43 instances.

Pre-Crash Driver Action

1
Straight Ahead247 (48.1%)
2
Slowing or Stopped In Traffic101 (19.7%)
3
Making Left Turn43 (8.4%)
4
Changing Lanes28 (5.5%)
5
Making Right Turn27 (5.3%)
6
Parked17 (3.3%)
7
Entering Traffic Lane16 (3.1%)
8
Other/Unknown11 (2.1%)
9
Backing9 (1.8%)

Showing top 9 of 15 reported. 6 additional (14 total) not shown: Driverless, Negotiating a Curve, Leaving Traffic Lane, Overtaking/Passing, Making U-Turn, Entering or Crossing Specified Location.

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 most dominant manner of collision, accounting for 94 crashes, or 34.8% of all incidents. 'Not Collision Between Two Vehicles in Transport' and 'Angle' collisions were also significant, each occurring 53 times and representing 19.6% of crashes. Sideswipe collisions in the same direction accounted for 38 incidents.

Manner of Collision

"Other" combines 2 smaller categories (6 records): Sideswipe; opposite direction (4), Rear-to-rear (2).

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 in crashes, accounting for 326 instances. Sport Utility Vehicles (SUVs) were involved in 75 incidents, followed by pickup trucks in 40 incidents. Commercial vehicles, including Semi-Tractors, Single Unit Trucks, and Cargo Vans, collectively accounted for 45 vehicles, representing 8.77% of all vehicles involved.

Vehicle Type

"Other" combines 7 smaller categories (21 records): Unknown or Hit/Skip (6), Heavy Equipment (4), Bus (16+ Passengers) (3), Other Vehicle (3), Motorcycle 2 Wheeled (3), Van (9-15 Seats) (1), Pedestrian/Skater (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 490 individuals. Occupants, or passengers, represented a significant portion, with 176 individuals involved. One pedestrian was also involved in a crash 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

Among all persons involved in crashes, 544 individuals sustained no injuries. A total of 97 persons sustained injuries, comprising 10 serious injuries (A), 23 minor injuries (B), and 64 possible injuries (C). This means 14.5% of individuals involved in crashes sustained some level of injury.

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 participants, 523 individuals, used both shoulder and lap belts. However, 17 individuals were reported as using no safety equipment, representing 2.78% of those with known equipment use. Additionally, various child restraint systems were used by 21 individuals.

Occupant Safety Equipment

"Other" combines 2 smaller categories (7 records): Helmet Used (4), Booster Seat (3).

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 most common crash scenario involved two vehicles, accounting for 212 incidents. Single-vehicle crashes represented 45 incidents, or 16.7% of all crashes. Additionally, 13 crashes involved three or more vehicles, with one incident 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: Bedford Heights, OH
  • Total crash records analyzed: 270
  • Total persons involved: 667
  • Total vehicles involved: 513

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). "Bedford Heights, 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/bedford-heights/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

Bedford Heights, OH Crash Report — 2021 | ThatCarHitMe.com