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CRASH INTELLIGENCE REPORT · CANFIELD, 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/canfield/2021-annual-report
Yearly Traffic Safety Analysis
336 CRASHES IN
CANFIELD, OH
2021
In 2021, Canfield experienced 336 traffic crashes, resulting in 0 fatalities and 116 injuries. A significant portion of these crashes, 78%, involved no reported injuries. A notable contributing factor in 114 instances was 'Following too Close / ACDA', while rear-end collisions were the most common manner of collision, accounting for 37.8% of all crashes.
336
Total Crash Events
0
Persons Killed
116
Persons Injured
5.7%
Hit-and-Run Rate
Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (0) 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
19
Hit-and-Run Crashes — 2021
There were 19 hit-and-run crashes reported in Canfield in 2021, representing 5.7% of all crashes. The determination of a hit-and-run incident is based on the responding officer's initial assessment at the scene.
Vulnerable Road User Casualties
In 2021, there were no fatalities reported among pedestrians, cyclists, or motorists. A total of 116 individuals sustained injuries, with 115 being motorists and 1 being a pedestrian. No cyclists were reported as injured.
0
Pedestrians Killed
0
Motorists Killed
1
Pedestrians Injured
115
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 Canfield peaked on Tuesdays with 69 incidents. The hours of 7 AM and 2 PM were the most frequent times for crashes, each recording 32 incidents. The majority of crashes, 230 out of 336, occurred during daylight conditions, while 88 crashes 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
Out of 336 crashes, 262 (78%) resulted in no injuries, categorized as property damage only. Injury-involved crashes accounted for 74 incidents, with 5 classified as serious injury, 39 as minor injury, and 30 as possible injury. There were no fatal crashes reported, meaning no individuals were killed in traffic incidents during this period.
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
The majority of crashes occurred under favorable environmental conditions, with 177 crashes (52.7%) happening in clear weather, 251 (74.7%) on dry road surfaces, and 230 (68.5%) during daylight. Adverse weather conditions, including rain, snow, freezing rain, fog, and sleet, contributed to 52 crashes. Similarly, 85 crashes occurred on wet, icy, or snowy road surfaces, and 88 crashes took place 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 16-20 age group was most represented with 129 individuals, followed by the 35-44 age group with 119 individuals. Chevrolet vehicles were involved in 112 incidents, making it the most frequent make, followed by Ford with 89 involvements and Toyota with 40.
Top Vehicle Makes (594 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
19 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (792 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, 274 out of 336, occurred on the roadway. Crashes occurring off the immediate travel lanes, specifically on the roadside, shoulder, or in the median, accounted for 38 incidents. Additionally, 7 crashes occurred off a ramp and 3 in a driveway/alley access.
Crash Location (First Harmful Event)
"Other" combines 1 smaller categories (1 records): 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, 377 were at locations with no traffic control, making it the dominant type. Locations with signal control (signal or flasher) accounted for 177 vehicle involvements. In contrast, 417 vehicle involvements occurred at uncontrolled locations (no control, stop sign, or roundabout).
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 per-driver improper action contributing to crashes was 'Following too Close / ACDA' with 114 instances. This was followed by 'Failure to Yield' in 47 instances and 'Drove off Road' in 34 instances. 'Unsafe Speed' and 'Improper Start From a Parked Position' each accounted for 13 instances.
Driver Contributing Factor
Showing top 9 of 17 reported. 8 additional (31 total) not shown: Swerving to Avoid, Left of Center, Ran Stop Sign, Improper Passing, Improper Backing, Operating Defective Equipment, Not Discernible, Stopped or Parked Illegally.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Commercial / Truck Involvement
Commercial vehicles were involved in 17 incidents, representing 2.9% of all vehicles involved in crashes. Of these, 10 involved semi-tractor trailers and 7 involved other commercial vehicles.
Animal-Involved Crashes
Animal-related crashes accounted for 44 incidents, representing 13.1% of all crashes. The majority of these, 41 incidents, involved deer, while 3 incidents involved other animals.
Impairment (Alcohol / Drugs)
Impairment was a factor in 13 crashes, accounting for 3.9% of all incidents. Alcohol impairment was noted in 11 crashes, while drug impairment was a factor in 2 crashes.
Driver Condition
Among drivers involved in crashes, 12 were reported as being 'Under the Influence of Medications / Drugs / Alcohol'. Additionally, 3 drivers were noted as having 'Fell Asleep; Fainted; Fatigued; etc.', and 2 drivers each were reported with 'Illness', 'Emotional', or 'Physical Impairment'.
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 28 instances, representing 4.8% of all drivers. The most common specific distraction was 'Other distraction inside the vehicle' with 14 instances. 'Other activity with an electronic device' accounted for 5 instances, and 'Other distraction outside the vehicle' was noted in 4 instances.
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, 250 out of 336, occurred on straight-level road alignments. Crashes on curved road alignments (curve level or curve grade) totaled 19 incidents, representing 5.7% of all crashes. Crashes on graded alignments (straight grade or curve grade) accounted for 72 incidents, or 21.4% of the total.
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 action reported by drivers was 'Straight Ahead' in 328 instances. 'Slowing or Stopped In Traffic' was the second most common action with 155 instances. 'Making Left Turn' was reported in 49 instances prior to a crash.
Pre-Crash Driver Action
Showing top 9 of 14 reported. 5 additional (16 total) not shown: Overtaking/Passing, Backing, Other/Unknown, Making U-Turn, 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
Rear-end collisions were the most common manner of collision, accounting for 127 crashes or 37.8% of the total. 'Not Collision Between Two Vehicles in Transport' was the second most frequent, with 112 crashes or 33.3%. Angle collisions represented 58 crashes, making up 17.3% of the total.
Manner of Collision
"Other" combines 2 smaller categories (2 records): Rear-to-rear (1), Sideswipe; opposite direction (1).
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 256 vehicles. Sport utility vehicles (SUVs) followed with 218 involvements. Commercial vehicles, including semi-tractors, cargo vans, single unit trucks, and buses, collectively accounted for 31 vehicle involvements.
Vehicle Type
"Other" combines 7 smaller categories (14 records): Unknown or Hit/Skip (4), Other Vehicle (3), Van (9-15 Seats) (3), Pedestrian/Skater (1), Heavy Equipment (1), Motorhome (1), Bus (16+ Passengers) (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 585 individuals. Occupants accounted for 215 individuals, representing 26.8% of all persons. One pedestrian was also involved in a crash.
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 801 persons involved in crashes, 116 sustained injuries, representing 14.5% of all persons. This included 7 serious injuries, 62 minor injuries, and 47 possible injuries. No fatalities were reported among persons involved in crashes.
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 use of 'Shoulder and Lap Belt Used' was reported for 722 individuals. Conversely, 'None Used' was reported for 15 individuals, representing 1.9% of those with known safety equipment status. Child restraint systems (forward-facing or rear-facing) and booster seats were used by 36 individuals.
Occupant Safety Equipment
"Other" combines 1 smaller categories (5 records): Booster Seat (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
Approximately one-third of all crashes, 111 out of 336, were single-vehicle incidents. The majority of crashes, 197, involved two vehicles. Multi-vehicle crashes involving three or more vehicles accounted for 28 incidents.
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: Canfield, OH
- Total crash records analyzed: 336
- Total persons involved: 801
- Total vehicles involved: 594
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). "Canfield, 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/canfield/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