Yearly Traffic Safety Analysis

75 CRASHES IN
CUYAHOGA HEIGHTS, OH
2021

In 2021, Cuyahoga Heights experienced 75 traffic crashes, resulting in 40 injuries but no fatalities. The most notable finding is the absence of any traffic fatalities during this period. Additionally, 66.7% of all crashes reported no injuries.

75

Total Crash Events

0

Persons Killed

40

Persons Injured

14.7%

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

11

Hit-and-Run Crashes — 2021

There were 11 hit-and-run crashes in Cuyahoga Heights in 2021, accounting for 14.7% of all reported crashes. This figure is based on the initial determination by the responding officer.

Vulnerable Road User Casualties

In 2021, there were no fatalities reported for pedestrians, cyclists, or motorists in Cuyahoga Heights. A total of 40 motorists sustained injuries in crashes. No pedestrians or cyclists were reported injured during this period.

0

Motorists Killed

40

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 incidents in Cuyahoga Heights peaked on Thursdays, with 16 crashes recorded. The most frequent hour for crashes was 6 PM, with 7 occurrences. The majority of crashes, 49 out of 75, occurred during daylight hours.

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

The majority of crashes in Cuyahoga Heights, 66.7% (50 crashes), resulted in no injuries. Injury crashes accounted for 33.3% of the total, with 2 serious injuries, 7 minor injuries, and 16 possible injuries reported. There were no fatal crashes recorded in 2021.

Outcome by Severity (Crash Events)

Serious Injury2serious injury crashes2.7%
Minor Injury7minor injury crashes9.3%
Possible Injury16possible injury crashes21.3%
No Injury50no injury crashes66.7%

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

Most crashes in Cuyahoga Heights occurred under clear weather conditions (46 crashes) and on dry road surfaces (50 crashes). Daylight was also the predominant lighting condition, accounting for 49 crashes. Adverse conditions such as rain (14 crashes), wet roads (21 crashes), and dark-lighted roadways (24 crashes) were also present in a notable number of incidents.

Weather

Clear46 (61.3%)
Rain14 (18.7%)
Cloudy10 (13.3%)
Snow5 (6.7%)

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

Lighting

Daylight49 (65.3%)
Dark - Lighted Roadway24 (32.0%)
Dawn/Dusk2 (2.7%)

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

Road Surface

Dry50 (66.7%)
Wet21 (28.0%)
Snow2 (2.7%)
Sand; Mud; Dirt; Oil; Gravel1 (1.3%)
Water (Standing; Moving)1 (1.3%)

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 among persons involved in crashes was 26-34, accounting for 31 individuals. Ford vehicles were involved in the highest number of incidents, totaling 20 vehicles. Chevrolet followed with 17 vehicles involved.

Top Vehicle Makes (144 vehicles)

1
FORD20 (13.9%)
2
CHEVROLET17 (11.8%)
3
TOYOTA13 (9%)
4
HYUNDAI11 (7.6%)
5
NISSAN9 (6.3%)
6
DODGE8 (5.6%)
7
HONDA5 (3.5%)
8
KIA4 (2.8%)
9
GMC4 (2.8%)
10
INTERNATIONAL4 (2.8%)

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

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

Sex Distribution (163 persons with recorded sex)

Male101 (62.0%)
Female62 (38.0%)

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 vast majority of crashes, 68 out of 75, occurred on the roadway itself. A smaller proportion of crashes, 7 incidents, occurred off the main travel lanes, including 3 on the shoulder, 2 on ramps, and 2 on the roadside. These off-roadway incidents represent approximately 9.3% of all crashes.

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, 116 were at locations with no traffic control present, making it the dominant condition. Signalized locations accounted for 18 vehicles involved in crashes, while uncontrolled locations (no control, stop sign, yield sign) collectively represented 126 vehicles. This indicates that 87.5% of vehicles involved in crashes were at uncontrolled locations.

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 leading contributing factors among units involved in crashes were "Following too Close / ACDA" and "Improper Lane Change," each cited 12 times. "Failure to Yield" was another significant factor, noted in 11 instances. These three factors combined represent a substantial portion of identified improper actions.

Driver Contributing Factor

1
Following too Close / ACDA12 (15.2%)
2
Improper Lane Change12 (15.2%)
3
Failure to Yield11 (13.9%)
4
Other Improper Action9 (11.4%)
5
Swerving to Avoid9 (11.4%)
6
Unsafe Speed7 (8.9%)
7
Drove off Road5 (6.3%)
8
Not Discernible4 (5.1%)
9
Left of Center3 (3.8%)

Showing top 9 of 15 reported. 6 additional (7 total) not shown: Improper Passing, Vision Obstruction, Improper Backing, Improper Turn, Load shifting/Falling/Spilling, Ran Red Light.

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

Driver Condition

Two drivers involved in crashes were reported as being "Under the Influence of Medications / Drugs / Alcohol." This represents 1.4% of all drivers involved.

Driver Condition

1
Apparently Normal132 (97.8%)
2
Under the Influence of Medications / Drugs / Alcohol2 (1.5%)
3
Other/Unknown1 (0.7%)

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

One driver was identified as having "Other distraction inside the vehicle" at the time of their crash. This accounts for 0.7% of all drivers involved in crashes.

Driver Distraction

1
Not Distracted131 (96.3%)
2
Other/Unknown4 (2.9%)
3
Other distraction inside the vehicle1 (0.7%)

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

Most crashes occurred on straight-level roadways (46 crashes) or straight-grade roadways (23 crashes). Crashes occurring on curves, specifically "Curve Level" alignments, accounted for 6 incidents, representing 8% of all crashes. Additionally, 23 crashes occurred on grades, comprising 30.7% 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 for units involved was "Straight Ahead," accounting for 85 instances or 59.0% of vehicles. "Changing Lanes" was the second most frequent action with 17 instances (11.8%), followed by "Slowing or Stopped In Traffic" with 13 instances (9.0%).

Pre-Crash Driver Action

1
Straight Ahead85 (59%)
2
Changing Lanes17 (11.8%)
3
Slowing or Stopped In Traffic13 (9%)
4
Other/Unknown10 (6.9%)
5
Overtaking/Passing5 (3.5%)
6
Entering Traffic Lane4 (2.8%)
7
Making Right Turn3 (2.1%)
8
Making Left Turn2 (1.4%)
9
Driverless2 (1.4%)

Showing top 9 of 12 reported. 3 additional (3 total) not shown: Negotiating a Curve, Backing, Parked.

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 manners of collision were "Rear-end" and "Sideswipe; same direction," each accounting for 21 crashes and 28% of the total. "Not Collision Between Two Vehicles in Transport" was also highly prevalent, representing 20 crashes or 26.7% of incidents.

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 Car" was the most common vehicle type involved in crashes, accounting for 65 out of 144 vehicles, or 45.1%. Commercial-like vehicles, including Semi-Tractors, Single Unit Trucks, Cargo Vans, and Buses, collectively represented 18 vehicles, making up 12.5% of all vehicles involved.

Vehicle Type

"Other" combines 5 smaller categories (5 records): Van (9-15 Seats) (1), Cargo Van (1), Heavy Equipment (1), Other Vehicle (1), Bus (16+ Passengers) (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 vast majority of persons involved in crashes, totaling 141 individuals, or 83.9%. Occupants accounted for 27 persons, representing 16.1% of those involved. No pedestrians or cyclists were recorded among the persons involved.

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 168 persons involved in crashes, 123 (73.2%) sustained no injuries. A total of 40 persons (23.8%) sustained injuries, including 2 serious, 11 minor, and 27 possible injuries. There were no fatalities among persons involved in crashes.

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 persons for whom safety equipment use was recorded, 147 individuals, used both shoulder and lap belts. A small proportion, 3 persons, were recorded as using no safety equipment. This represents 1.9% of those with known safety equipment status.

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

The most common crash type involved two vehicles, accounting for 50 incidents. Single-vehicle crashes represented 20 out of the 75 total crashes, comprising 26.7%. There were also rare multi-vehicle incidents, including one crash involving 6 vehicles and another involving 8 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: Cuyahoga Heights, OH
  • Total crash records analyzed: 75
  • Total persons involved: 168
  • Total vehicles involved: 144

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). "Cuyahoga Heights, 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/cuyahoga-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

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