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CRASH INTELLIGENCE REPORT · CHARDON, 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/chardon/2021-annual-report
Yearly Traffic Safety Analysis
211 CRASHES IN
CHARDON, OH
2021
In 2021, Chardon experienced 211 crashes, resulting in 1 fatality and 77 injuries. The highest number of crashes, 27, occurred in December, while Tuesdays recorded the most incidents with 39 crashes.
211
Total Crash Events
1
Persons Killed
77
Persons Injured
5.2%
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
11
Hit-and-Run Crashes — 2021
In 2021, Chardon recorded 11 hit-and-run crashes, representing 5.2% of all incidents. It is important to note that hit-and-run status is based on the initial determination by the responding officer.
Vulnerable Road User Casualties
In Chardon during 2021, one motorist fatality was recorded, alongside 76 motorist injuries. One pedestrian injury was also reported, while no fatalities or injuries were reported for cyclists.
0
Pedestrians Killed
1
Motorists Killed
1
Pedestrians Injured
76
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 Chardon during 2021 peaked on Tuesdays, with 39 crashes recorded, and the most frequent crash hour was 4 PM, accounting for 22 incidents. A significant majority of crashes, 150 out of 211 (71.1%), occurred during daylight hours, while 53 crashes (25.1%) happened in dark conditions.
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
In Chardon, 161 crashes (76.3%) in 2021 resulted in no injuries, indicating property-damage-only incidents. Conversely, 49 crashes (23.2%) involved injuries of varying severity, including 1 serious injury crash and 26 minor injury crashes. There was 1 fatal crash recorded, which resulted in 1 fatality.
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
A majority of crashes in Chardon during 2021 occurred under optimal conditions, with 107 incidents (50.7%) in clear weather, 143 incidents (67.8%) on dry road surfaces, and 150 incidents (71.1%) during daylight. However, adverse conditions also contributed to crashes, with 24 incidents in snow and 22 in rain, alongside 46 incidents on wet road surfaces and 53 occurring in dark 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 the persons involved in crashes, the 65+ age group was most represented with 85 individuals, followed closely by the 16-20 age group with 83 individuals. Regarding vehicle makes, Chevrolet vehicles were involved most frequently in crashes, accounting for 57 incidents, followed by Ford with 48 incidents and Honda with 38 incidents.
Top Vehicle Makes (374 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
16 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (478 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)
The majority of crashes in Chardon, 183 incidents, occurred on the roadway. A notable portion, 26 crashes (12.3%), occurred off the main travel lanes, specifically on the roadside (23 incidents) or on the shoulder (3 incidents), indicating run-off-road incidents.
Crash Location (First Harmful Event)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Driver Contributing Factor
Analysis of contributing factors reveals that 'Following too Close / ACDA' was the most common improper action, accounting for 60 instances, or 33.3% of all identified factors. 'Failure to Yield' was the second leading factor with 34 instances (18.9%), followed by 'Drove off Road' with 24 instances (13.3%). 'Improper Backing' also contributed significantly with 12 instances.
Driver Contributing Factor
Showing top 9 of 17 reported. 8 additional (22 total) not shown: Other Improper Action, Improper Turn, Improper Lane Change, Ran Stop Sign, Swerving to Avoid, Operating Defective Equipment, Stopped or Parked Illegally, Improper Start From a Parked Position.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Commercial / Truck Involvement
Commercial trucks were involved in 13 crashes, representing 6.16% of all incidents. These involved 8 'Other Commercial Vehicle' types and 5 'Semi-Tractor Trailer' types.
Animal-Involved Crashes
Animal-strike crashes accounted for 28 incidents, representing 13.27% of all crashes. Of these, 25 involved deer, while 3 involved other types of animals.
Driver Condition
Analysis of driver conditions indicates that 10 drivers were noted with abnormal conditions at the time of the crash, representing 2.73% of all drivers. This included 7 instances of drivers being 'Under the Influence of Medications / Drugs / Alcohol', 2 instances of drivers who 'Fell Asleep; Fainted; Fatigued; etc.', and 1 instance of a driver with an 'Illness'.
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
Driver distraction was identified in 23 instances, accounting for 6.28% of all drivers involved in crashes. The most frequent identified distraction was 'Other distraction inside the vehicle' with 8 instances, followed by 'Other distraction outside the vehicle' with 6 instances. Manually operating an electronic communication device and other electronic device activities each accounted for 3 instances of distraction.
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
The majority of crashes occurred on 'Straight Level' roadways, accounting for 140 incidents. However, 67 crashes (31.9%) occurred on grades, including 63 on 'Straight Grade' and 4 on 'Curve Grade'. Additionally, 7 crashes (3.33%) took place on curves, combining 'Curve Grade' and 'Curve Level' incidents.
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
Prior to crashes, the most common pre-crash action for vehicles was 'Straight Ahead', observed in 196 instances, representing 52.4% of all vehicle actions. 'Slowing or Stopped In Traffic' was the second most frequent action with 86 instances (23.0%), followed by 'Making Left Turn' in 26 instances (7.0%).
Pre-Crash Driver Action
Showing top 9 of 15 reported. 6 additional (12 total) not shown: Other/Unknown, Parked, Driverless, Walking; Running; Jogging; Playing, Entering or Crossing Specified Location, Leaving Traffic Lane.
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 68 crashes (32.2%). This was closely followed by 'Rear-end' collisions, which comprised 61 crashes (28.9%), and 'Angle' collisions, which represented 49 crashes (23.2%).
Manner of Collision
"Other" combines 2 smaller categories (5 records): Sideswipe; opposite direction (3), 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, accounting for 139 vehicles (37.2%). Sport Utility Vehicles were also highly represented with 130 vehicles (34.8%), followed by pick-up trucks with 61 vehicles (16.3%). Commercial vehicles, including semi-tractors, single unit trucks, and cargo vans, collectively accounted for 19 vehicles involved.
Vehicle Type
"Other" combines 4 smaller categories (9 records): Motorcycle 2 Wheeled (3), Unknown or Hit/Skip (2), Pedestrian/Skater (2), Bicycle (2).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Person Type
Drivers constituted the dominant role among persons involved in crashes, accounting for 366 individuals (75.2%). Occupants represented 117 individuals (24.0%), while pedestrians comprised 4 individuals (0.8%) of all persons recorded in crash data.
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, 1 individual sustained fatal injuries, representing 0.2% of persons. A total of 77 individuals (15.8%) sustained some level of injury, including 1 serious injury, 34 minor injuries, and 42 possible injuries. The majority, 402 individuals, 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
Among persons with recorded safety equipment use, 'Shoulder and Lap Belt Used' was the most common, observed in 431 instances. However, 'None Used' was reported for 13 individuals, representing 2.75% of those with recorded safety equipment status. Child restraint systems were also noted, including 8 forward-facing and 6 rear-facing systems.
Occupant Safety Equipment
"Other" combines 1 smaller categories (2 records): Helmet Used (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 distribution of vehicles per crash indicates that 143 crashes involved two vehicles. Single-vehicle crashes accounted for 58 incidents (27.5% of all crashes). Additionally, 10 crashes 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: Chardon, OH
- Total crash records analyzed: 211
- Total persons involved: 487
- Total vehicles involved: 374
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). "Chardon, 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/chardon/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