Yearly Traffic Safety Analysis

4,075 CRASHES IN
OHIO, OH
2021

In 2021, Lake County recorded 4,075 traffic crashes, resulting in 6 fatalities and 1,350 injuries. These incidents involved 9,530 people and 7,536 vehicles. The most common type of collision was a rear-end crash, accounting for nearly one-third (32.8%) of all incidents during this period.

4,075

Total Crash Events

6

Persons Killed

1,350

Persons Injured

11.5%

Hit-and-Run Rate

Note: "Persons Killed" (6) counts individual fatalities across all crash events. "Fatal" in the severity table below (6) 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

469

Hit-and-Run Crashes — 2021

There were 469 hit-and-run crashes reported in Lake County, which constitutes 11.5% of all crashes in 2021. This designation is based on the initial determination made by the responding law enforcement officer at the scene of the collision.

Vulnerable Road User Casualties

All 6 fatalities recorded in 2021 were motorists. Motorists also accounted for the vast majority of injuries, with 1,324 individuals injured. While no pedestrians or cyclists were killed, 26 pedestrians sustained injuries in crashes. No injuries or fatalities were recorded for cyclists.

0

Pedestrians Killed

6

Motorists Killed

26

Pedestrians Injured

1,324

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 frequencies in Lake County peaked during the weekday evening commute. The most common day for crashes was Friday, with 680 incidents, and the single busiest hour was the 4 p.m. hour, with 415 crashes. Correspondingly, a majority of crashes (68.9%) 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

Of the 4,075 total crashes, the majority (75.2%) resulted in no injuries. Injury-sustaining crashes accounted for 24.7% of incidents, including 90 serious injury crashes and 473 minor injury crashes. There were 6 fatal crashes recorded, which resulted in a total of 6 fatalities.

Outcome by Severity (Crash Events)

Fatal6fatal crashes0.1%
Serious Injury90serious injury crashes2.2%
Minor Injury473minor injury crashes11.6%
Possible Injury441possible injury crashes10.8%
No Injury3,065no injury crashes75.2%

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 in Lake County occurred in clear weather and on dry roads. Specifically, 76.2% of crashes happened on a dry road surface, and 59.3% occurred in clear weather. Crashes in adverse weather included 382 in rain and 224 in snow.

Weather

Clear2,417 (59.3%)
Cloudy998 (24.5%)
Rain382 (9.4%)
Snow224 (5.5%)
Sleet; Hail23 (0.6%)
Other/Unknown17 (0.4%)
Freezing Rain or Freezing Drizzle7 (0.2%)
Severe Crosswinds6 (0.1%)
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

Daylight2,808 (68.9%)
Dark - Lighted Roadway785 (19.3%)
Dark - Roadway Not Lighted240 (5.9%)
Dawn/Dusk222 (5.4%)
Dark - Unknown Roadway Lighting11 (0.3%)
Other/Unknown9 (0.2%)

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

Road Surface

Dry3,104 (76.2%)
Wet747 (18.3%)
Snow151 (3.7%)
Ice47 (1.2%)
Slush14 (0.3%)
Other/Unknown9 (0.2%)
Water (Standing; Moving)3 (0.1%)

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

Vehicles & Demographics

Among the 9,530 people involved in crashes, the 26-34 age group was the most represented, with 1,415 individuals. The most frequent vehicle makes involved in collisions were Chevrolet (955 vehicles), Ford (864 vehicles), and Toyota (593 vehicles). Passenger cars were the most common vehicle type, accounting for 3,871 of the 7,536 vehicles in crashes.

Top Vehicle Makes (7,536 vehicles)

1
CHEVROLET955 (12.7%)
2
OTHER/UNKNOWN889 (11.8%)
3
FORD864 (11.5%)
4
TOYOTA593 (7.9%)
5
HONDA562 (7.5%)
6
HYUNDAI380 (5%)
7
JEEP362 (4.8%)
8
KIA341 (4.5%)
9
NISSAN315 (4.2%)
10
DODGE288 (3.8%)

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

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

Sex Distribution (9,260 persons with recorded sex)

Male4,950 (53.5%)
Female4,310 (46.5%)

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 first harmful event in most crashes occurred on the primary road surface, accounting for 3,490 incidents. However, a notable number of crashes involved a vehicle leaving the roadway, with 235 incidents occurring on the roadside and 142 on the shoulder. In total, crashes where the first event was off the travel lanes represented approximately 11.8% of all incidents.

Crash Location (First Harmful Event)

"Other" combines 4 smaller categories (37 records): Other/Unknown (15), Driveway/Alley access (14), On Gore (6), Railway grade crossing (2).

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

Traffic Control Device

Data on traffic controls present at crash sites shows that the most common scenario involved no traffic control device, which was the case for 4,691 vehicles involved in crashes. For comparison, 2,359 vehicles were in crashes at locations with a traffic signal, and 371 were at locations with a stop sign.

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

Among driver-related actions contributing to crashes, 'Following too Close / ACDA' was the most cited factor, attributed to 1,265 vehicles. 'Failure to Yield' was the second most common factor with 645 instances, followed by 'Drove off Road' which was noted for 357 vehicles.

Driver Contributing Factor

1
Following too Close / ACDA1,265 (32.3%)
2
Failure to Yield645 (16.5%)
3
Drove off Road357 (9.1%)
4
Other Improper Action330 (8.4%)
5
Improper Lane Change241 (6.2%)
6
Improper Backing163 (4.2%)
7
Improper Turn145 (3.7%)
8
Ran Red Light133 (3.4%)
9
Not Discernible111 (2.8%)

Showing top 9 of 23 reported. 14 additional (522 total) not shown: Unsafe Speed, Improper Passing, Left of Center, Improper Start From a Parked Position, Swerving to Avoid, Ran Stop Sign, Operating Defective Equipment, Load shifting/Falling/Spilling, Vision Obstruction, Stopped or Parked Illegally, Improper Crossing, 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

Crashes in 2021 involved 243 commercial vehicles. Of these, 135 were classified as 'Other Commercial Vehicle' and 108 were identified as a 'Semi-Tractor Trailer'. These vehicles represented approximately 3.2% of all vehicles involved in collisions during the year.

Vulnerable Road Users & Motorcycles

A total of 140 crashes involved motorcyclists, bicyclists, or pedestrians. Of these, 78 involved a motorcyclist, 34 involved a bicyclist, and 28 involved a pedestrian. Combined, crashes with bicyclists and pedestrians accounted for 62 incidents, or 1.5% of all crashes.

Animal-Involved Crashes

There were 213 crashes involving animals recorded in 2021, making up 5.2% of all crashes. The vast majority of these, 197 incidents, specifically involved deer. The remaining 16 crashes were attributed to other types of animals.

Impairment (Alcohol / Drugs)

Impairment was a factor in 233 crashes, representing 5.7% of the total. Alcohol was the sole impairing substance in 189 of these incidents. An additional 22 crashes involved drugs, and 22 involved a combination of both alcohol and drugs.

Driver Condition

While most drivers were recorded as 'Apparently Normal,' several non-normal conditions were noted. A total of 193 drivers were identified as being under the influence of medications, drugs, or alcohol. Additionally, 52 drivers were reported to have fallen asleep, fainted, or been fatigued, and 42 were described as emotional.

Driver Condition

1
Apparently Normal6,581 (92.3%)
2
Other/Unknown209 (2.9%)
3
Under the Influence of Medications / Drugs / Alcohol193 (2.7%)
4
Fell Asleep; Fainted; Fatigued; etc.52 (0.7%)
5
Emotional (E.G.; Depressed; Angry; Disturbed)42 (0.6%)
6
Physical Impairment30 (0.4%)
7
Illness20 (0.3%)

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

Among drivers for whom a distraction was recorded, the most common factor was 'Other distraction inside the vehicle,' noted for 123 drivers. This was followed by 'Other distraction outside the vehicle' for 77 drivers. Operating an electronic communication device was cited as a distraction for 64 drivers, split between manual operation (32) and other electronic device activity (32).

Driver Distraction

1
Not Distracted6,504 (92.3%)
2
Other/Unknown258 (3.7%)
3
Other distraction inside the vehicle123 (1.7%)
4
Other distraction outside the vehicle77 (1.1%)
5
Manually operating an electronic communication device (texting; typing; dialing)32 (0.5%)
6
Other activity with an electronic device32 (0.5%)
7
Passenger9 (0.1%)
8
Talking on hand-held communication device9 (0.1%)
9
Talking on hands-free communication device3

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 and level road segments, accounting for 3,342 incidents. However, road geometry played a role in a subset of crashes, with 13.4% of all incidents occurring on a grade (uphill or downhill). Crashes on curves, both level and graded, accounted for 8.3% of the total.

Road Alignment

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

Top Cities

The geographic distribution of crashes was concentrated in a few key areas. The city of Mentor recorded the highest number of incidents with 1,226 crashes. Painesville had the second-highest volume with 551 crashes, followed by Willoughby with 493. Together, these three municipalities accounted for 55.7% of all crashes in the county.

Top Cities

1
Mentor1,226 (30.1%)
2
Painesville551 (13.5%)
3
Willoughby493 (12.1%)
4
Wickliffe304 (7.5%)
5
Madison278 (6.8%)
6
Concord245 (6%)
7
Willoughby Hills239 (5.9%)
8
Eastlake236 (5.8%)
9
Willowick167 (4.1%)

Showing top 9 of 17 reported. 8 additional (336 total) not shown: Leroy, Perry, Kirtland, Mentor-On-The-Lake, Kirtland Hills, Waite Hill, Fairport Harbor, Timberlake.

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

Pre-Crash Driver Action

Analysis of vehicle actions prior to collision shows that the most common maneuver was driving 'Straight Ahead,' which was the case for 3,782 vehicles. The second most frequent pre-crash action was 'Slowing or Stopped In Traffic,' recorded for 1,560 vehicles. These two actions combined describe the pre-crash movement of over 70% of vehicles involved.

Pre-Crash Driver Action

1
Straight Ahead3,782 (50.2%)
2
Slowing or Stopped In Traffic1,560 (20.7%)
3
Making Left Turn711 (9.4%)
4
Changing Lanes293 (3.9%)
5
Making Right Turn268 (3.6%)
6
Backing196 (2.6%)
7
Parked196 (2.6%)
8
Negotiating a Curve126 (1.7%)
9
Entering Traffic Lane126 (1.7%)

Showing top 9 of 20 reported. 11 additional (278 total) not shown: Overtaking/Passing, Other/Unknown, Leaving Traffic Lane, Driverless, Walking; Running; Jogging; Playing, Making U-Turn, Other Non-Motorist, Working, Standing Outside Disabled Vehicle, Standing, 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

The most frequent type of crash was 'Rear-end,' which accounted for 1,336 incidents, or 32.8% of all crashes. The second most common category was single-vehicle crashes, classified as 'Not Collision Between Two Vehicles in Transport,' with 1,086 incidents (26.7%). Angle collisions were the third most prevalent type, with 952 crashes.

Manner of Collision

"Other" combines 2 smaller categories (76 records): Sideswipe; opposite direction (59), Rear-to-rear (17).

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, with 3,871 units, followed by Sport Utility Vehicles with 2,045 units. Together, these two categories represented 78.5% of all vehicles in collisions. Pick-up trucks were the third most frequent, with 758 vehicles involved.

Vehicle Type

"Other" combines 13 smaller categories (311 records): Single Unit Truck (86), Motorcycle 2 Wheeled (81), Bicycle (34), Bus (16+ Passengers) (31), Pedestrian/Skater (28), Van (9-15 Seats) (18), Other Vehicle (18), Heavy Equipment (8), All Terrain Vehicle (ATV/UTV) (3), Train (1), Motorhome (1), Motorcycle 3 Wheeled (1), Wheelchair (Any type) (1).

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

Person Type

Of the 9,530 individuals involved in crashes, 7,284 (76.4%) were drivers. Vehicle occupants (passengers) constituted the next largest group with 2,217 individuals (23.3%). A small fraction, 29 individuals (0.3%), were pedestrians.

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 9,530 people involved in crashes, 1,350 individuals sustained some level of injury, representing 14.2% of all persons involved. This included 6 fatal injuries and 102 serious injuries. The vast majority of people, 7,952 individuals or 83.4%, were not injured.

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

Shoulder and lap belts were the most commonly used form of safety equipment, recorded for 7,971 individuals. Conversely, 429 people, or 4.5% of those involved in crashes, were documented as having used no safety equipment at all. Child restraint systems were used by 238 children, including both forward-facing and rear-facing seats.

Occupant Safety Equipment

"Other" combines 4 smaller categories (92 records): Helmet Used (49), Lap Belt Only Used (39), Lighting - Pedestrian / Bicycle Only (3), Protective Pads Used (Elbow; knees; etc.) (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, 2,933 incidents or 72.0%, involved two vehicles. Single-vehicle crashes were the next most common, with 902 incidents, accounting for 22.1% of the total. While most multi-vehicle crashes involved three or four vehicles, there was one crash involving seven vehicles and another involving nine.

Vehicles Per Crash

"Other" combines 1 smaller categories (1 records): 9 (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 6, 2026

Data Coverage

  • Reporting period: 2021-01-01 through 2021-12-31 (365 days)
  • Geographic scope: ohio, OH
  • Total crash records analyzed: 4,075
  • Total persons involved: 9,530
  • Total vehicles involved: 7,536

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 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/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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Lake County, OH Crash Report — 2021 | ThatCarHitMe.com