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CRASH INTELLIGENCE REPORT · GRANVILLE, 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/granville/2021-annual-report
Yearly Traffic Safety Analysis
207 CRASHES IN
GRANVILLE, OH
2021
In 2021, Granville experienced 207 crashes, resulting in 1 fatality and 53 injuries. The most frequent crash type was 'Not Collision Between Two Vehicles in Transport,' accounting for 49.3% of all incidents.
207
Total Crash Events
1
Persons Killed
53
Persons Injured
10.1%
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
21
Hit-and-Run Crashes — 2021
There were 21 hit-and-run crashes, representing 10.1% of all crashes. This status is based on the responding officer's initial determination.
Vulnerable Road User Casualties
In 2021, 1 motorist was killed and 52 motorists were injured in crashes. Additionally, 1 pedestrian was injured, while no cyclists were reported killed or injured.
0
Pedestrians Killed
1
Motorists Killed
1
Pedestrians Injured
52
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 Granville most frequently occurred on Thursdays, with 38 incidents, and peaked at 4 PM, with 22 crashes. The majority of crashes, 126 (60.8%), happened during daylight hours, while 65 (31.4%) occurred 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
The majority of crashes in Granville, 165 (79.7%), resulted in no injuries. There was 1 fatal crash, accounting for 0.5% of all incidents, and 41 crashes (19.7%) involved some level of injury. It is important to note that fatalities represent persons killed, and a single crash event can involve multiple fatalities.
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 Granville occurred under ideal conditions, with 125 (60.4%) happening in clear weather, 161 (77.8%) on dry road surfaces, and 126 (60.8%) during daylight. Conversely, 34 crashes (16.4%) occurred during adverse weather conditions such as rain or snow, and 46 crashes (22.2%) took place on wet, snowy, or icy roads.
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 persons involved in crashes, the 16-20 age group was most represented with 71 individuals, followed by the 0-15 age group with 64 individuals. The most frequently involved vehicle makes were Ford with 52 vehicles, Honda with 51 vehicles, and Chevrolet with 38 vehicles.
Top Vehicle Makes (332 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
23 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (443 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, 161, occurred on the roadway. However, a significant portion of crashes, 31 (15.0%), occurred off the main travel lanes, including 18 on the roadside, 12 on the shoulder, and 1 in the median, indicating potential run-off-road incidents.
Crash Location (First Harmful Event)
"Other" combines 4 smaller categories (4 records): In Median (1), Off ramp (1), Shared-use paths or trails (1), Driveway/Alley access (1).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Traffic Control Device
The dominant traffic control at crash locations was 'No Control,' accounting for 242 instances. Crashes at signalized locations represented 38 instances (11.4% of reported controls), while uncontrolled locations (No Control) accounted for 242 instances (73.0%).
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 common contributing factors to crashes included 'Following too Close / ACDA' with 39 instances (24.5% of reported factors), 'Failure to Yield' with 27 instances (17.0%), and 'Drove off Road' with 21 instances (13.2%). Additionally, 'Unsafe Speed' was cited in 11 instances (6.9%).
Driver Contributing Factor
Showing top 9 of 17 reported. 8 additional (21 total) not shown: Improper Passing, Ran Stop Sign, Swerving to Avoid, Ran Red Light, Not Discernible, Wrong Way, Improper Start From a Parked Position, Load shifting/Falling/Spilling.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Commercial / Truck Involvement
Crashes involved 15 commercial vehicles, representing 7.2% of all crashes. Of these, 9 were Semi-Tractor Trailers and 6 were Other Commercial Vehicles.
Animal-Involved Crashes
Animal-strike crashes accounted for 35 incidents, representing 16.9% of all crashes. The vast majority of these, 33, involved deer, while 2 involved other animals.
Driver Condition
Regarding driver condition, 5 drivers were reported 'Under the Influence of Medications / Drugs / Alcohol,' and 4 drivers were reported as 'Fell Asleep; Fainted; Fatigued; etc.' These abnormal conditions collectively accounted for 9 instances, representing 2.9% of all reported driver conditions.
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 noted in 9 instances. This included 3 instances of 'Other distraction inside the vehicle,' 3 instances of 'Other distraction outside the vehicle,' 2 instances of 'Other activity with an electronic device,' and 1 instance involving a 'Passenger.' These distractions accounted for 2.9% of all reported driver conditions.
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
A total of 31 crashes (15.0%) occurred on curves, comprising 16 on 'Curve Grade' and 15 on 'Curve Level' alignments. Additionally, 51 crashes (24.6%) took place on grades, including both straight and curved sections.
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
Immediately prior to crashes, the most frequent driver action was 'Straight Ahead,' accounting for 186 instances (56.7%). Other common actions included 'Slowing or Stopped In Traffic' with 43 instances (13.1%) and 'Parked' with 20 instances (6.1%).
Pre-Crash Driver Action
Showing top 9 of 13 reported. 4 additional (14 total) not shown: Leaving Traffic Lane, Other/Unknown, Overtaking/Passing, 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 dominant manner of collision was 'Not Collision Between Two Vehicles in Transport,' representing 102 incidents (49.3%). 'Rear-end' collisions were the second most frequent, with 37 incidents (17.9%), followed closely by 'Angle' collisions with 36 incidents (17.4%).
Manner of Collision
"Other" combines 1 smaller categories (1 records): Head-on (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 177 vehicles (53.3%). Additionally, 27 commercial or heavy vehicles, including Semi-Tractors and Cargo Vans, were involved, representing 8.1% of all vehicles.
Vehicle Type
"Other" combines 9 smaller categories (16 records): Bus (16+ Passengers) (4), Single Unit Truck (3), Van (9-15 Seats) (2), Other Vehicle (2), Pedestrian/Skater (1), Motorhome (1), Motorcycle 2 Wheeled (1), Farm Equipment (1), All Terrain Vehicle (ATV/UTV) (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 dominant role among persons involved in crashes, with 311 individuals (67.6%). Occupants accounted for 148 individuals (32.2%), and 1 pedestrian was involved, representing 0.2% of all persons.
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 53 individuals sustained injuries of varying severity (11.5%), while 394 individuals (85.7%) reported 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
Safety equipment use among participants showed that 'Shoulder and Lap Belt Used' was the most common, with 369 instances. However, 46 individuals (10.6% of those with known restraint status) were reported as having used 'None Used' safety equipment.
Occupant Safety Equipment
"Other" combines 1 smaller categories (1 records): Child Restraint System - Rear Facing (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, 117, involved two vehicles. Single-vehicle crashes accounted for 86 incidents (41.5% of all crashes), while 4 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 6, 2026
Data Coverage
- Reporting period: 2021-01-01 through 2021-12-31 (365 days)
- Geographic scope: Granville, OH
- Total crash records analyzed: 207
- Total persons involved: 460
- Total vehicles involved: 332
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). "Granville, 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/granville/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 6, 2026 · All rights reserved