ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · AVON LAKE, OH · 2021
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/ohio/avon-lake/2021-annual-report
Yearly Traffic Safety Analysis
123 CRASHES IN
AVON LAKE, OH
2021
In 2021, Avon Lake, OH experienced 123 traffic crashes, resulting in 1 fatality and 26 injuries. The most frequent contributing factors among involved units were following too closely/ACDA and failure to yield, each accounting for over 12% of identified factors.
123
Total Crash Events
1
Persons Killed
26
Persons Injured
8.1%
Hit-and-Run Rate
Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) 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
10
Hit-and-Run Crashes — 2021
Ten crashes (8.1% of all crashes) were categorized as hit-and-run incidents in 2021. This status is based on the initial determination by the responding officer.
Vulnerable Road User Casualties
In 2021, motorists accounted for the majority of severe outcomes, with 1 motorist killed and 25 injured. One pedestrian was injured, while no cyclists were killed or injured.
0
Pedestrians Killed
1
Motorists Killed
1
Pedestrians Injured
25
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 Avon Lake most frequently occurred on Wednesdays, with 22 incidents reported. The peak hour for crashes was 5 PM, accounting for 15 incidents. A majority of crashes, 71, occurred during daylight conditions, while 51 crashes occurred during dark or low-light conditions (dawn/dusk or dark 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
The majority of crashes in Avon Lake, 82.9%, resulted in no injuries. Injury crashes (A, B, C severity) accounted for 16.2% of all incidents. There was 1 fatal crash, which resulted in 1 person killed.
Outcome by Severity (Crash Events)
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 Avon Lake occurred under favorable conditions, with 76 incidents happening in clear weather, 100 on dry road surfaces, and 71 during daylight hours. However, adverse conditions were also present in a notable number of crashes, with 13 occurring in snow or rain, 23 on wet, snowy, or icy roads, and 51 during dark or low-light conditions.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Road surface condition field
Vehicles & Demographics
Among all persons involved in crashes, the 16-20 age group was the most represented with 49 individuals, followed by the 65+ age group with 42 individuals. Ford vehicles were involved in the highest number of incidents (41), followed by Chevrolet (27) and Toyota (19). Passenger cars and sport utility vehicles were the most common vehicle types involved, with 88 and 75 instances respectively.
Top Vehicle Makes (211 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
4 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (245 persons with recorded sex)
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)
A significant majority of crashes, 102 (82.9%), occurred on the roadway itself. However, 21 crashes (17.1%) occurred off the immediate travel lanes, including 14 on the roadside, 3 on the shoulder, 2 outside the trafficway, 1 in a driveway/alley access, and 1 at a railway grade crossing, indicating instances of vehicles leaving the main road.
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 the involved units, 151 were associated with locations having no traffic control, making it the dominant condition. Traffic signals were present for 39 involved units, while stop signs were present for 18 units.
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 factors were 'Following too Close / ACDA' (27 units) and 'Failure to Yield' (26 units), representing 12.8% and 12.3% of all involved vehicles, respectively. 'Drove off Road' was also a significant factor, attributed to 16 units, or 7.6% of involved vehicles.
Driver Contributing Factor
Showing top 9 of 14 reported. 5 additional (7 total) not shown: Improper Lane Change, Unsafe Speed, Swerving to Avoid, Vision Obstruction, Stopped or Parked Illegally.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Driver Condition
Among drivers, 7 were noted as 'Under the Influence of Medications / Drugs / Alcohol', 3 were 'Emotional', 1 had 'Fell Asleep; Fainted; Fatigued; etc.', and 1 had an 'Illness'. These 12 abnormal conditions accounted for 5.9% of all drivers involved in crashes.
Driver Condition
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
Eight drivers were identified as distracted in crashes. This included 3 instances of 'Other distraction inside the vehicle', 2 of 'Other activity with an electronic device', 2 of 'Other distraction outside the vehicle', and 1 of 'Manually operating an electronic communication device'. These distracted drivers represent 3.96% of all drivers involved.
Driver Distraction
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
Twenty crashes (16.3%) occurred on road alignments that elevate risk, including 10 on a 'Curve Level' and 10 on a 'Straight Grade'. The majority of crashes, 103, occurred on 'Straight Level' roadways.
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 was 'Straight Ahead', accounting for 107 involved vehicles (50.7%). 'Slowing or Stopped In Traffic' was the second most frequent action with 31 vehicles (14.7%), followed by 'Making Left Turn' with 19 vehicles (9.0%).
Pre-Crash Driver Action
Showing top 9 of 13 reported. 4 additional (6 total) not shown: Negotiating a Curve, Working, Other/Unknown, Walking; Running; Jogging; Playing.
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 manner of collision was 'Not Collision Between Two Vehicles in Transport', accounting for 46 crashes (37.4%). 'Angle' collisions were the next most common with 29 incidents (23.6%), closely followed by 'Rear-end' collisions with 28 incidents (22.8%).
Manner of Collision
"Other" combines 1 smaller categories (2 records): Other/Unknown (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 common vehicle type involved in crashes, with 88 instances, representing 41.7% of all involved vehicles. Sport Utility Vehicles followed with 75 instances, and Pick up trucks with 26 instances. Commercial vehicles, including pick-ups, cargo vans, semi-tractors, and single unit trucks, collectively accounted for 33 vehicles, or 15.6% of all involved vehicles.
Vehicle Type
"Other" combines 4 smaller categories (4 records): Pedestrian/Skater (1), Semi-Tractor (1), Single Unit Truck (1), Motorcycle 2 Wheeled (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 overwhelming majority of persons involved in crashes, with 202 individuals (81.1%). Occupants accounted for 46 persons (18.5%), and 1 pedestrian was 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 245 persons with recorded injury severity, 1 person (0.4%) sustained fatal injuries. A total of 26 persons (10.6%) sustained some level of injury (serious, minor, or possible), while 218 persons sustained no 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 majority of participants, 224 individuals (90.3%), used 'Shoulder and Lap Belt Used'. However, 6 individuals (2.4%) were recorded as having 'None Used', indicating a lack of restraint use in those instances.
Occupant Safety Equipment
"Other" combines 1 smaller categories (1 records): Lap Belt Only Used (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, 84 incidents (68.3%), involved two vehicles. Single-vehicle crashes accounted for 37 incidents (30.1%), while only 2 crashes (1.6%) involved three 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: Avon Lake, OH
- Total crash records analyzed: 123
- Total persons involved: 249
- Total vehicles involved: 211
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). "Avon Lake, 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/avon-lake/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
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Ohio Crash Data (ODOT TIMS) · Csv
Period: 2021-01-01 – 2021-12-31
Generated: July 5, 2026 · All rights reserved