Yearly Traffic Safety Analysis

15,279 CRASHES IN
CLEVELAND, OH
2021

In 2021, Cleveland, OH recorded 15,279 crashes, resulting in 69 fatalities and 7,695 injuries. A notable finding is that 37.6% of all crashes, totaling 5,745 incidents, were reported as hit-and-run.

15,279

Total Crash Events

69

Persons Killed

7,695

Persons Injured

37.6%

Hit-and-Run Rate

Note: "Persons Killed" (69) counts individual fatalities across all crash events. "Fatal" in the severity table below (65) 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

5,745

Hit-and-Run Crashes — 2021

There were 5,745 hit-and-run crashes reported in Cleveland, OH in 2021, accounting for 37.6% of all crashes. This status is based on the responding officer's initial determination at the scene.

Vulnerable Road User Casualties

Motorists accounted for the highest number of casualties, with 55 killed and 7,504 injured. Pedestrians represented a significant vulnerable user group, with 14 killed and 191 injured. There were no cyclist fatalities or injuries reported in the data.

14

Pedestrians Killed

55

Motorists Killed

191

Pedestrians Injured

7,504

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 Cleveland in 2021 peaked on Fridays with 2,541 incidents and during the 4 PM hour with 1,271 crashes. The data indicates that most crashes occurred during daylight hours, with 9,360 incidents, compared to 4,715 incidents occurring in dark conditions (lighted or 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 15,279 crashes in 2021, 68% resulted in no injury, while 31.6% involved some level of injury. There were 65 fatal crashes recorded, but these incidents resulted in a total of 69 fatalities, highlighting that a single crash can unfortunately lead to multiple deaths.

Severity is per crash event (most severe injury). 65 fatal crash events resulted in 69 persons killed.

Outcome by Severity (Crash Events)

Fatal65fatal crashes0.4%
Serious Injury411serious injury crashes2.7%
Minor Injury1,517minor injury crashes9.9%
Possible Injury2,901possible injury crashes19%
No Injury10,385no injury crashes68%

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 (9,620 incidents), on dry road surfaces (11,754 incidents), and during daylight hours (9,360 incidents). However, adverse conditions also contributed to a significant number of crashes, with 1,862 incidents occurring during rain or snow, and 3,084 incidents on wet or snowy road surfaces.

Weather

Clear9,620 (63.0%)
Cloudy3,247 (21.3%)
Rain1,311 (8.6%)
Other/Unknown545 (3.6%)
Snow504 (3.3%)
Freezing Rain or Freezing Drizzle18 (0.1%)
Sleet; Hail18 (0.1%)
Fog; Smog; Smoke10 (0.1%)
Severe Crosswinds5 (0.0%)
Blowing Sand; Soil; Dirt; Snow1 (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

Daylight9,360 (61.3%)
Dark - Lighted Roadway4,435 (29.0%)
Dawn/Dusk860 (5.6%)
Other/Unknown344 (2.3%)
Dark - Roadway Not Lighted156 (1.0%)
Dark - Unknown Roadway Lighting124 (0.8%)

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

Road Surface

Dry11,754 (76.9%)
Wet2,468 (16.2%)
Snow466 (3.0%)
Other/Unknown441 (2.9%)
Ice121 (0.8%)
Slush12 (0.1%)
Water (Standing; Moving)9 (0.1%)
Sand; Mud; Dirt; Oil; Gravel8 (0.1%)

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

Vehicles & Demographics

Drivers aged 26-34 were the most represented group in crash data, with 6,327 individuals. Passenger cars were the most frequently involved vehicle type, accounting for 15,469 vehicles. Among specific makes, Chevrolet (3,696 vehicles) and Ford (3,561 vehicles) were most often involved in crashes.

Top Vehicle Makes (29,824 vehicles)

1
CHEVROLET3,696 (12.4%)
2
FORD3,561 (11.9%)
3
HONDA2,068 (6.9%)
4
TOYOTA1,991 (6.7%)
5
NISSAN1,558 (5.2%)
6
KIA1,436 (4.8%)
7
HYUNDAI1,284 (4.3%)
8
DODGE1,213 (4.1%)
9
JEEP1,110 (3.7%)
10
GMC611 (2%)

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

6,714 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (29,621 persons with recorded sex)

Male16,015 (54.1%)
Female13,606 (45.9%)

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, 13,770 incidents, occurred directly on the roadway. A total of 737 crashes, representing 4.8% of identified locations, occurred off the travel lanes, specifically on the roadside (353), on the shoulder (326), or in the median (58).

Crash Location (First Harmful Event)

"Other" combines 8 smaller categories (131 records): In Median (58), On ramp (57), Railway grade crossing (6), Crossover (4), On Gore (3), Toll Booth (1), Shared-use paths or trails (1), 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 vehicles involved in crashes, 16,710 were at locations with no traffic control, making it the dominant type of location. Signalized locations accounted for 10,653 vehicle involvements, while stop signs were present for 1,889 vehicle involvements.

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 identified were 'Other Improper Action' (4,890 instances), 'Following too Close / ACDA' (2,540 instances), and 'Failure to Yield' (1,741 instances). These three factors collectively accounted for 62.4% of all identified contributing factors.

Driver Contributing Factor

1
Other Improper Action4,890 (32%)
2
Following too Close / ACDA2,540 (16.6%)
3
Failure to Yield1,741 (11.4%)
4
Improper Lane Change851 (5.6%)
5
Not Discernible774 (5.1%)
6
Ran Red Light685 (4.5%)
7
Improper Turn555 (3.6%)
8
Improper Backing547 (3.6%)
9
Drove off Road484 (3.2%)

Showing top 9 of 23 reported. 14 additional (2,236 total) not shown: Improper Passing, Unsafe Speed, Swerving to Avoid, Left of Center, Ran Stop Sign, Improper Crossing, Operating Defective Equipment, Vision Obstruction, Improper Start From a Parked Position, Wrong Way, Stopped or Parked Illegally, Load shifting/Falling/Spilling, 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

Crashes involved 1,025 commercial vehicles, which represents 3.4% of all vehicles in the data. This total included 741 'Other Commercial Vehicle' types and 284 'Semi-Tractor Trailer' types.

Vulnerable Road Users & Motorcycles

A total of 324 vulnerable road users (pedestrians and bicyclists) were involved in crashes, representing 0.9% of all persons in the data. This included 217 pedestrians and 107 bicyclists.

Animal-Involved Crashes

Animal-related crashes accounted for 52 incidents, representing 0.34% of all crashes. Of these, 42 involved deer, while 10 involved other types of animals.

Impairment (Alcohol / Drugs)

Impaired driving was a factor in 456 crashes, accounting for 2.98% of all incidents. Alcohol impairment was identified in 320 crashes, while drugs were a factor in 67 crashes, and both alcohol and drugs were involved in 69 crashes.

Driver Condition

Abnormal driver conditions were identified in 696 instances, representing 2.65% of all drivers. The most frequent abnormal conditions included drivers under the influence of medications, drugs, or alcohol (397 instances), and emotional states (125 instances).

Driver Condition

1
Apparently Normal18,491 (77.3%)
2
Other/Unknown4,719 (19.7%)
3
Under the Influence of Medications / Drugs / Alcohol397 (1.7%)
4
Emotional (E.G.; Depressed; Angry; Disturbed)125 (0.5%)
5
Physical Impairment68 (0.3%)
6
Fell Asleep; Fainted; Fatigued; etc.66 (0.3%)
7
Illness40 (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

Driver distraction was identified in 552 instances, accounting for 2.1% of all drivers. The most common forms of distraction were 'Other distraction outside the vehicle' (226 instances) and 'Other distraction inside the vehicle' (151 instances).

Driver Distraction

1
Not Distracted15,527 (68.3%)
2
Other/Unknown6,647 (29.2%)
3
Other distraction outside the vehicle226 (1%)
4
Other distraction inside the vehicle151 (0.7%)
5
Manually operating an electronic communication device (texting; typing; dialing)58 (0.3%)
6
Other activity with an electronic device53 (0.2%)
7
Passenger33 (0.1%)
8
Talking on hand-held communication device23 (0.1%)
9
Talking on hands-free communication device8

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 (13,795 incidents) occurred on straight, level road alignments. Crashes on curves (level or grade) totaled 631 incidents, while crashes on grades (straight or curve) totaled 891 incidents, representing 4.17% and 5.9% of identified alignments, respectively.

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 frequent pre-crash actions reported were 'Straight Ahead' (14,092 instances), 'Slowing or Stopped In Traffic' (3,822 instances), and 'Making Left Turn' (2,340 instances). These three actions represent 74.4% of all identified pre-crash actions.

Pre-Crash Driver Action

1
Straight Ahead14,092 (47.3%)
2
Slowing or Stopped In Traffic3,822 (12.8%)
3
Other/Unknown2,727 (9.1%)
4
Making Left Turn2,340 (7.8%)
5
Parked2,195 (7.4%)
6
Changing Lanes1,109 (3.7%)
7
Making Right Turn1,056 (3.5%)
8
Backing827 (2.8%)
9
Overtaking/Passing443 (1.5%)

Showing top 9 of 20 reported. 11 additional (1,213 total) not shown: Entering Traffic Lane, Negotiating a Curve, Leaving Traffic Lane, Walking; Running; Jogging; Playing, Making U-Turn, Driverless, Standing, Other Non-Motorist, Entering or Crossing Specified Location, Standing Outside Disabled Vehicle, Approaching or Leaving Vehicle.

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

Manner of Collision

The dominant crash patterns were 'Rear-end' collisions, accounting for 3,760 incidents, and 'Angle' collisions, with 3,601 incidents. Additionally, 2,549 crashes were classified as 'Not Collision Between Two Vehicles in Transport', indicating single-vehicle or non-motorist incidents.

Manner of Collision

"Other" combines 2 smaller categories (441 records): Sideswipe; opposite direction (371), Rear-to-rear (70).

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, totaling 15,469 vehicles. Sport utility vehicles followed with 6,074 involvements. Commercial and heavy vehicles, including single unit trucks, semi-tractors, buses, and cargo vans, collectively accounted for 1,315 vehicles.

Vehicle Type

"Other" combines 17 smaller categories (1,495 records): Semi-Tractor (290), Bus (16+ Passengers) (289), Pedestrian/Skater (222), Motorcycle 2 Wheeled (214), Other Vehicle (150), Bicycle (107), Van (9-15 Seats) (98), Heavy Equipment (60), Moped or Motorized Bicycle (20), Autocycle (12), Limo (Livery Vehicle) (9), Motorcycle 3 Wheeled (8), All Terrain Vehicle (ATV/UTV) (7), Motorhome (3), Farm Equipment (3), Wheelchair (Any type) (2), Train (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, with 26,218 individuals, representing 74.8% of all persons. Occupants accounted for 8,581 individuals, while pedestrians were involved in 230 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, 69 individuals sustained fatal injuries, and 7,695 individuals sustained some level of injury (serious, minor, or possible). This means 0.2% of persons suffered fatal injuries and 21.97% suffered non-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

Safety equipment usage was recorded for 24,387 persons, with 21,670 individuals using both shoulder and lap belts. However, 1,577 individuals were recorded as using no safety equipment, representing 6.47% of those with identified usage.

Occupant Safety Equipment

"Other" combines 4 smaller categories (170 records): Helmet Used (75), Booster Seat (72), Lighting - Pedestrian / Bicycle Only (18), Protective Pads Used (Elbow; knees; etc.) (5).

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 involved two vehicles, totaling 12,148 incidents or 79.5% of all crashes. Single-vehicle crashes accounted for 2,048 incidents (13.4%), while multi-vehicle crashes involving three or more vehicles occurred in 1,083 incidents.

Vehicles Per Crash

"Other" combines 2 smaller categories (3 records): 10 (2), 7 (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: Cleveland, OH
  • Total crash records analyzed: 15,279
  • Total persons involved: 35,029
  • Total vehicles involved: 29,824

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). "Cleveland, 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/cleveland/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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Cleveland, OH Crash Report — 2021 | ThatCarHitMe.com