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CRASH INTELLIGENCE REPORT · FULTON, 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/fulton/2021-annual-report
Yearly Traffic Safety Analysis
63 CRASHES IN
FULTON, OH
2021
In 2021, Fulton, OH experienced 63 traffic crashes, resulting in 0 fatalities and 26 injuries. A significant majority of crashes, 77.8%, were classified as 'Not Collision Between Two Vehicles in Transport', indicating a high prevalence of single-vehicle incidents. This is further supported by 'Drove off Road' being the most common contributing factor among drivers.
63
Total Crash Events
0
Persons Killed
26
Persons Injured
14.3%
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
9
Hit-and-Run Crashes — 2021
There were 9 hit-and-run crashes in Fulton during 2021, accounting for 14.3% of all reported incidents. This statistic is based on the initial determination made by the responding officer at the scene of the crash.
Vulnerable Road User Casualties
In Fulton during 2021, there were no fatalities reported for pedestrians, cyclists, or motorists. A total of 26 motorists sustained injuries in crashes. There were no reported injuries for pedestrians or cyclists.
0
Motorists Killed
26
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 Fulton occurred most frequently on Fridays, with 13 incidents reported, followed by Tuesdays and Saturdays, each with 12 crashes. The peak hour for crashes was 7 AM, with 8 occurrences. Crashes in dark conditions (26) were nearly as frequent as those in daylight (27) during the year.
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 63 crashes in Fulton, 49 (77.8%) resulted in no injuries. There were 14 injury crashes, with 2 incidents involving serious injuries, 7 minor injuries, and 5 possible injuries. No fatal crashes were recorded, meaning no persons 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 in Fulton occurred under clear weather conditions (44 crashes) and on dry road surfaces (52 crashes). Daylight was the lighting condition for 27 crashes, while 24 crashes occurred in dark conditions on unlighted roadways. Adverse conditions such as rain, snow, or wet/icy roads accounted for 11 crashes.
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 83 vehicles involved in crashes, passenger cars were the most frequent type with 21 vehicles, followed closely by sport utility vehicles (19) and pickup trucks (18). Chevrolet was the most common vehicle make involved, with 11 vehicles, followed by Freightliner (10) and Ford (9). Among persons involved, the 26-34 age group was most represented with 21 individuals.
Top Vehicle Makes (83 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
7 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (110 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 portion of crashes, 36.5% (23 out of 63), occurred outside the main travel lanes, specifically on the roadside (12 crashes), on the shoulder (8 crashes), or in the median (3 crashes). The largest share of crashes, 35 incidents, occurred on the roadway itself. An additional 4 crashes occurred entirely outside the trafficway.
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 vehicles involved in crashes, 74 were at locations with no traffic control present. Nine vehicles were involved in crashes at locations controlled by a stop sign. This indicates that most crashes occurred at uncontrolled intersections or road segments.
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 improper action contributing to crashes was 'Drove off Road', accounting for 21 instances among drivers. 'Following too Close / ACDA' was noted for 6 drivers, and 'Failure to Yield' for 5 drivers. These represent the leading human factors identified in crash causation.
Driver Contributing Factor
Showing top 9 of 11 reported. 2 additional (2 total) not shown: Operating Defective Equipment, Improper Turn.
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 15 instances, with 14 being semi-tractor trailers and 1 being another type of commercial vehicle. These commercial vehicles constituted 18.1% of all vehicles involved in crashes. This highlights the presence of heavy vehicles in the crash data.
Animal-Involved Crashes
Animal-related crashes accounted for 13 incidents, representing 20.6% of all crashes. Of these, 12 involved deer, while 1 involved another type of animal. Deer strikes are a notable hazard in the area.
Driver Condition
Ten drivers were noted to have abnormal conditions at the time of their crash, excluding 'Apparently Normal' or 'Other/Unknown'. Six drivers were reported as 'Under the Influence of Medications / Drugs / Alcohol', and four drivers were categorized as having 'Fell Asleep; Fainted; Fatigued; etc.'.
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
Only one instance of driver distraction was specifically identified as 'Manually operating an electronic communication device (texting; typing; dialing)'. This specific distraction accounted for a small fraction of all drivers involved in crashes. The majority of drivers were not reported as distracted.
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 vast majority of crashes, 60 out of 63, occurred on straight, level road alignments. Only 3 crashes occurred on alignments that were either curved (1 crash on a curve level) or graded (2 crashes on a straight grade).
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 reported by drivers was 'Straight Ahead', accounting for 68 instances. 'Slowing or Stopped In Traffic' was the second most frequent action, with 4 drivers. 'Changing Lanes' was reported by 3 drivers immediately before a crash.
Pre-Crash Driver Action
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Manner of Collision
The dominant manner of collision was 'Not Collision Between Two Vehicles in Transport', accounting for 49 (77.8%) of the 63 crashes. 'Angle' and 'Rear-end' collisions each occurred 6 times, representing 9.5% of crashes. 'Sideswipe; same direction' collisions occurred twice.
Manner of Collision
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 21 vehicles. Sport utility vehicles and pickup trucks followed closely, with 19 and 18 vehicles respectively. Commercial vehicles, including semi-tractors and single unit trucks, accounted for 19 vehicles, representing 22.9% of all vehicles involved.
Vehicle Type
"Other" combines 2 smaller categories (2 records): Motorcycle 2 Wheeled (1), Cargo Van (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 81 individuals, making up 71.1% of all persons. Occupants accounted for 33 individuals, or 28.9% of the total. No pedestrians or cyclists were involved in crashes during this period.
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 114 persons involved in crashes, 26 sustained injuries, representing 22.8% of individuals. Two persons suffered serious injuries, 17 had minor injuries, and 7 had possible injuries. No fatalities were recorded among persons involved.
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
For persons with reported safety equipment use, 99 individuals used 'Shoulder and Lap Belt'. A small number, 3 persons, were reported as using 'None Used'. This indicates a high rate of seatbelt usage among those for whom data was available.
Occupant Safety Equipment
"Other" combines 1 smaller categories (1 records): Booster Seat (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
Single-vehicle crashes were the most common type, accounting for 43 (68.3%) of the 63 total crashes. The remaining 20 crashes (31.7%) involved two vehicles. There were no crashes involving more than two 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: Fulton, OH
- Total crash records analyzed: 63
- Total persons involved: 114
- Total vehicles involved: 83
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). "Fulton, 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/fulton/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