Yearly Traffic Safety Analysis

30,809 CRASHES IN
OHIO, OH
2021

In 2021, Cuyahoga County recorded 30,809 total traffic crashes, resulting in 130 fatalities and 13,350 injuries. A significant portion of these incidents occurred under favorable driving conditions, with approximately 76.1% of crashes happening on dry roads and 60.7% in clear weather. Rear-end collisions were the most frequent crash type, accounting for 29% of all incidents.

30,809

Total Crash Events

130

Persons Killed

13,350

Persons Injured

25.6%

Hit-and-Run Rate

Note: "Persons Killed" (130) counts individual fatalities across all crash events. "Fatal" in the severity table below (122) 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

7,886

Hit-and-Run Crashes — 2021

Based on the responding officer's initial determination, 7,886 crashes in 2021 were classified as hit-and-runs. This represents 25.6% of all crashes in Cuyahoga County during this period.

Vulnerable Road User Casualties

Motorists represented the largest group of individuals killed or injured in 2021, with 107 fatalities and 13,005 injuries. Pedestrians were also significantly impacted, with 23 individuals killed and 345 injured in traffic crashes. According to the data, no cyclists were killed or injured during this period.

23

Pedestrians Killed

107

Motorists Killed

345

Pedestrians Injured

13,005

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 frequency in Cuyahoga County peaked on Fridays, with 5,167 incidents recorded in 2021. The single busiest hour for crashes was the 4 p.m. hour, which saw 2,617 crashes. Overall, collisions were most common during daytime hours, with 20,159 crashes (65.4%) occurring in daylight conditions, aligning with the afternoon commuter rush between 3 p.m. and 5 p.m.

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 2021, 70.6% (21,741 incidents), resulted in no injuries and were property-damage-only. Crashes involving some level of injury accounted for 29.0% of the total. There were 122 fatal crashes, which resulted in a total of 130 fatalities, as a single crash can involve more than one death.

Severity is per crash event (most severe injury). 122 fatal crash events resulted in 130 persons killed.

Outcome by Severity (Crash Events)

Fatal122fatal crashes0.4%
Serious Injury754serious injury crashes2.4%
Minor Injury3,137minor injury crashes10.2%
Possible Injury5,055possible injury crashes16.4%
No Injury21,741no injury crashes70.6%

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

A majority of crashes occurred in favorable environmental conditions. In 2021, 60.7% of crashes (18,704) happened in clear weather, 76.1% (23,461) on dry road surfaces, and 65.4% (20,159) during daylight hours. Among adverse conditions, rain was a factor in 2,946 crashes, while 5,501 crashes occurred on wet roads.

Weather

Clear18,704 (60.7%)
Cloudy7,147 (23.2%)
Rain2,946 (9.6%)
Snow1,248 (4.1%)
Other/Unknown630 (2.0%)
Sleet; Hail60 (0.2%)
Freezing Rain or Freezing Drizzle42 (0.1%)
Fog; Smog; Smoke18 (0.1%)
Severe Crosswinds12 (0.0%)
Blowing Sand; Soil; Dirt; Snow2 (0.0%)

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

Lighting

Daylight20,159 (65.4%)
Dark - Lighted Roadway8,004 (26.0%)
Dawn/Dusk1,545 (5.0%)
Dark - Roadway Not Lighted533 (1.7%)
Other/Unknown403 (1.3%)
Dark - Unknown Roadway Lighting165 (0.5%)

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

Road Surface

Dry23,461 (76.1%)
Wet5,501 (17.9%)
Snow934 (3.0%)
Other/Unknown505 (1.6%)
Ice270 (0.9%)
Water (Standing; Moving)87 (0.3%)
Slush41 (0.1%)
Sand; Mud; Dirt; Oil; Gravel10 (0.0%)

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

Vehicles & Demographics

Analysis of persons involved in crashes shows the 26-34 age group was the most represented, with 12,787 individuals. Among the 59,539 vehicles involved in collisions, passenger cars were the most common type (32,636). The most frequent vehicle makes were Chevrolet, involved in 7,129 instances, followed by Ford with 6,924, Toyota with 4,238, and Honda with 3,963.

Top Vehicle Makes (59,539 vehicles)

1
CHEVROLET7,129 (12%)
2
FORD6,924 (11.6%)
3
OTHER/UNKNOWN5,675 (9.5%)
4
TOYOTA4,238 (7.1%)
5
HONDA3,963 (6.7%)
6
NISSAN3,119 (5.2%)
7
HYUNDAI2,602 (4.4%)
8
KIA2,538 (4.3%)
9
JEEP2,377 (4%)
10
DODGE2,257 (3.8%)

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

8,523 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (65,980 persons with recorded sex)

Male35,134 (53.2%)
Female30,846 (46.8%)

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, 27,500 incidents, had their first harmful event occur on the primary roadway. A total of 1,832 crashes, or 5.9% of the total, originated off the main travel lanes. These included 877 crashes on the roadside, 778 on the shoulder, and 177 in the median.

Crash Location (First Harmful Event)

"Other" combines 8 smaller categories (308 records): Driveway/Alley access (137), On ramp (134), On Gore (15), Railway grade crossing (9), Toll Booth (5), Crossover (5), Shared-use paths or trails (2), Bike Lane (1).

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

Traffic Control Device

Among all vehicles involved in crashes, the most common traffic control scenario was "No Control," which applied to 34,303 vehicles (57.6%). Traffic signals were present for 20,682 vehicles (34.7%) involved in collisions. Stop signs were the third most common control type, present for 3,389 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

The most frequently cited contributing factor for vehicles in crashes was "Following too Close / ACDA," attributed to 7,208 vehicles. This was followed by "Failure to Yield," which was a factor for 4,382 vehicles, and "Improper Lane Change," cited for 1,971 vehicles. Other significant factors included "Drove off Road" (1,506 vehicles) and "Ran Red Light" (1,202 vehicles).

Driver Contributing Factor

1
Following too Close / ACDA7,208 (23.6%)
2
Other Improper Action6,432 (21%)
3
Failure to Yield4,382 (14.3%)
4
Improper Lane Change1,971 (6.4%)
5
Not Discernible1,544 (5%)
6
Drove off Road1,506 (4.9%)
7
Ran Red Light1,202 (3.9%)
8
Improper Backing1,148 (3.8%)
9
Improper Turn1,084 (3.5%)

Showing top 9 of 23 reported. 14 additional (4,120 total) not shown: Unsafe Speed, Improper Passing, Left of Center, Swerving to Avoid, Ran Stop Sign, Operating Defective Equipment, Improper Crossing, Improper Start From a Parked Position, Vision Obstruction, Stopped or Parked Illegally, Load shifting/Falling/Spilling, Wrong Way, Opening Door into Roadway, Lying in Roadway.

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

Commercial / Truck Involvement

A total of 2,158 commercial vehicles were involved in crashes in 2021. Of these, 1,464 were classified as "Other Commercial Vehicle" and 694 were "Semi-Tractor Trailer." These commercial trucks accounted for approximately 3.6% of all vehicles involved in collisions during the period.

Vulnerable Road Users & Motorcycles

Crashes in 2021 involved 1,009 motorcyclists, pedestrians, and bicyclists combined. Vulnerable road users, defined here as pedestrians and bicyclists, were involved in 621 of these incidents (383 pedestrians and 238 bicyclists). These crashes with pedestrians and bicyclists represent approximately 2.0% of all reported crashes.

Animal-Involved Crashes

There were 309 crashes involving animals reported in 2021, accounting for 1.0% of all crashes. The vast majority of these, 281 incidents, were collisions with deer. An additional 28 crashes involved other types of animals.

Impairment (Alcohol / Drugs)

In 2021, 1,233 crashes, or 4.0% of the total, were noted to involve driver impairment. Among these incidents, alcohol was the sole factor in 901 cases, drugs were a factor in 180 cases, and a combination of alcohol and drugs was noted in 152 cases. These figures are based on officer suspicion or determination at the scene.

Driver Condition

While most drivers were recorded as "Apparently Normal," a total of 1,883 drivers (3.5% of all drivers) were noted to have a specific adverse condition. The most common of these was driving "Under the Influence of Medications / Drugs / Alcohol," with 1,060 instances. Other recorded conditions included emotional distress (287 drivers), physical impairment (213 drivers), and falling asleep or fatigue (211 drivers).

Driver Condition

1
Apparently Normal43,783 (85%)
2
Other/Unknown5,851 (11.4%)
3
Under the Influence of Medications / Drugs / Alcohol1,060 (2.1%)
4
Emotional (E.G.; Depressed; Angry; Disturbed)287 (0.6%)
5
Physical Impairment213 (0.4%)
6
Fell Asleep; Fainted; Fatigued; etc.211 (0.4%)
7
Illness112 (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

Driver Distraction

A specific distraction was identified for 1,675 drivers, representing 3.1% of all drivers in the dataset. The most cited issues were general distractions from inside the vehicle (595 drivers) and outside the vehicle (565 drivers). Electronic device use was a factor for 350 drivers, including 183 who were manually operating a device and 167 engaged in other electronic device activity.

Driver Distraction

1
Not Distracted39,870 (79.5%)
2
Other/Unknown8,606 (17.2%)
3
Other distraction inside the vehicle595 (1.2%)
4
Other distraction outside the vehicle565 (1.1%)
5
Manually operating an electronic communication device (texting; typing; dialing)183 (0.4%)
6
Other activity with an electronic device167 (0.3%)
7
Passenger92 (0.2%)
8
Talking on hand-held communication device49 (0.1%)
9
Talking on hands-free communication device24

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 (26,322) occurred on straight, level road segments. However, roadway geometry was a feature in a notable number of incidents. Crashes on a grade (either straight or curved) accounted for 3,167 incidents, while 1,770 crashes occurred on a curve (either level or on a grade), representing 5.7% of all crashes.

Road Alignment

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

Top Cities

Crash incidents were heavily concentrated in the City of Cleveland, which recorded 15,279 crashes, representing 49.6% of the county's total. The next most impacted municipalities were Euclid with 910 crashes, Garfield Heights with 868, and Parma with 844. Together, the top five cities accounted for over 60% of all crashes in Cuyahoga County.

Top Cities

1
Cleveland15,279 (50%)
2
Euclid910 (3%)
3
Garfield Heights868 (2.8%)
4
Parma844 (2.8%)
5
Cleveland Heights699 (2.3%)
6
Lakewood665 (2.2%)
7
North Olmsted625 (2%)
8
Strongsville600 (2%)
9
Mayfield Heights530 (1.7%)

Showing top 9 of 50 reported. 41 additional (9,515 total) not shown: Westlake, South Euclid, Shaker Heights, Warrensville Heights, Brooklyn, Beachwood, Brook Park, Solon, Maple Heights, North Royalton, Middleburg Heights, Independence, Rocky River, Broadview Heights, Bedford Heights, Lyndhurst, Parma Heights, Bedford, Berea, East Cleveland, University Heights, Pepper Pike, Fairview Park, Bratenahl, Brecksville, North Randall, Oakwood, Highland Heights, Valley View, Richmond Heights, Olmsted, Brooklyn Heights, Cleveland Metroparks, Olmsted Falls, Mayfield, Orange, Cuyahoga Heights, Seven Hills, Chagrin Falls, Bay Village, Gates Mills.

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 vehicles was "Straight Ahead," which was the case for 29,361 vehicles, or 49.3% of all units involved. The second most frequent action was "Slowing or Stopped In Traffic," recorded for 9,168 vehicles (15.4%). Making a left turn was the third most common maneuver, noted for 4,911 vehicles.

Pre-Crash Driver Action

1
Straight Ahead29,361 (49.3%)
2
Slowing or Stopped In Traffic9,168 (15.4%)
3
Making Left Turn4,911 (8.2%)
4
Parked3,396 (5.7%)
5
Other/Unknown3,191 (5.4%)
6
Changing Lanes2,462 (4.1%)
7
Making Right Turn2,112 (3.5%)
8
Backing1,618 (2.7%)
9
Entering Traffic Lane787 (1.3%)

Showing top 9 of 21 reported. 12 additional (2,533 total) not shown: Overtaking/Passing, Negotiating a Curve, Leaving Traffic Lane, Walking; Running; Jogging; Playing, Driverless, Making U-Turn, Entering or Crossing Specified Location, Other Non-Motorist, Standing, Approaching or Leaving Vehicle, Standing Outside Disabled Vehicle, Working.

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 type of collision was a rear-end crash, which accounted for 8,939 incidents, or 29.0% of all crashes. Angle collisions were the second most frequent type, with 7,514 incidents (24.4%). Crashes not involving a collision between two moving vehicles, such as striking a fixed object, represented 18.8% of the total.

Manner of Collision

"Other" combines 2 smaller categories (743 records): Sideswipe; opposite direction (616), Rear-to-rear (127).

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 32,636 units or 54.8% of the total. Sport Utility Vehicles were the second most frequent, with 13,167 units involved. Commercial vehicles, including semi-tractors, single-unit trucks, buses, and cargo vans, collectively accounted for 2,832 vehicles, or 4.8% of all units in collisions.

Vehicle Type

"Other" combines 18 smaller categories (2,833 records): Single Unit Truck (653), Bus (16+ Passengers) (449), Pedestrian/Skater (393), Motorcycle 2 Wheeled (385), Other Vehicle (338), Bicycle (238), Van (9-15 Seats) (175), Heavy Equipment (109), Moped or Motorized Bicycle (21), Motorcycle 3 Wheeled (17), Autocycle (13), All Terrain Vehicle (ATV/UTV) (12), Limo (Livery Vehicle) (11), Motorhome (7), Wheelchair (Any type) (6), Farm Equipment (4), Train (1), Golf Cart (1).

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

Person Type

Of the 72,512 people involved in crashes, the vast majority, 54,452 individuals (75.1%), were drivers. Vehicle occupants (passengers) constituted the next largest group, with 17,654 people (24.3%). Pedestrians were involved in a smaller but significant number of incidents, accounting for 406 of the total 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

Among the 72,512 individuals involved in traffic collisions, 13,350 people sustained some level of injury, representing 18.4% of all persons. This included 946 serious injuries, 4,211 minor injuries, and 8,193 possible injuries. A total of 130 individuals, or 0.18% of all persons involved, suffered fatal 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 most commonly used safety equipment was the shoulder and lap belt, reported for 51,915 vehicle occupants. A total of 3,536 individuals were recorded as using no restraint system at the time of the crash. Additionally, various child restraint systems were in use, including 1,042 forward-facing seats and 517 rear-facing seats.

Occupant Safety Equipment

"Other" combines 5 smaller categories (492 records): Booster Seat (281), Helmet Used (182), Lighting - Pedestrian / Bicycle Only (22), Protective Pads Used (Elbow; knees; etc.) (5), Reflective Clothing (2).

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 incident type was a two-vehicle collision, with 24,033 such crashes recorded. Single-vehicle crashes accounted for 15.1% of the total, with 4,648 incidents. While less common, there were several large multi-vehicle pile-ups, including five crashes involving 8 vehicles and one crash involving 16 vehicles.

Vehicles Per Crash

"Other" combines 4 smaller categories (9 records): 8 (5), 10 (2), 9 (1), 16 (1).

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: ohio, OH
  • Total crash records analyzed: 30,809
  • Total persons involved: 72,512
  • Total vehicles involved: 59,539

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). "ohio, 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/statewide/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 County, OH Crash Report — 2021 | ThatCarHitMe.com