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CRASH INTELLIGENCE REPORT · GALION, 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/galion/2021-annual-report
Yearly Traffic Safety Analysis
133 CRASHES IN
GALION, OH
2021
In 2021, Galion, OH experienced 133 traffic crashes, resulting in 1 fatality and 40 injuries. A significant majority of these crashes, 78.2%, were classified as 'No Injury' incidents, indicating property damage only. The single fatal crash contributed to a fatal crash rate of 0.75% for the year.
133
Total Crash Events
1
Persons Killed
40
Persons Injured
14.3%
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
19
Hit-and-Run Crashes — 2021
There were 19 hit-and-run crashes reported in Galion during 2021, accounting for 14.3% of all crashes. It is important to note that hit-and-run status is based on the responding officer's initial determination at the crash scene.
Vulnerable Road User Casualties
In 2021, Galion recorded 1 motorist fatality and 38 motorist injuries. There were no fatalities among pedestrians or cyclists. Two pedestrians were injured, and no cyclists were injured in crashes during the year.
0
Pedestrians Killed
1
Motorists Killed
2
Pedestrians Injured
38
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 Galion during 2021 most frequently occurred on Fridays, with 23 incidents reported on this day of the week. The peak hour for crashes was 4 PM, recording 13 incidents. The majority of crashes, 91 out of 133, happened during daylight hours, while 42 crashes occurred during dark or dawn/dusk 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
Of the 133 crashes in Galion, 78.2% (104 crashes) resulted in no injuries, categorized as property damage only. Injury-involved crashes, encompassing serious, minor, and possible injuries, totaled 28 incidents. There was 1 fatal crash, and it is noted that this single crash 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
The predominant conditions for crashes in Galion during 2021 were clear weather (117 crashes), dry road surfaces (114 crashes), and daylight (91 crashes). Adverse conditions were less common, with 3 crashes occurring in rain, 2 in snow, and 1 in fog. Similarly, 10 crashes occurred on wet roads, 6 on snowy roads, and 2 on 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
The age group 65 and older was most represented among persons involved in crashes, with 51 individuals, followed by the 26-34 age group with 43 individuals. Passenger cars were the most frequently involved vehicle type, accounting for 119 vehicles out of 256. Chevrolet (44), Ford (42), and Dodge (30) were the top three most common vehicle makes involved in crashes.
Top Vehicle Makes (256 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 (251 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, 114 out of 133, occurred directly on the roadway. A total of 17 crashes, representing 12.8% of all incidents, occurred off the main travel lanes, including 7 on the roadside, 7 on the shoulder, and 3 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 the vehicles involved in crashes, 184 were at locations with no traffic control, making it the dominant condition. Crashes also occurred at locations with stop signs, involving 37 vehicles, and at signalized intersections, involving 32 vehicles.
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 among drivers were 'Failure to Yield' (36 instances), 'Other Improper Action' (25 instances), and 'Following too Close / ACDA' (22 instances). These three factors accounted for 66.9% of all specified contributing factors.
Driver Contributing Factor
Showing top 9 of 17 reported. 8 additional (11 total) not shown: Not Discernible, Ran Stop Sign, Vision Obstruction, Left of Center, Ran Red Light, Improper Start From a Parked Position, Opening Door into Roadway, Improper Crossing.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Driver Condition
Among drivers, 8 instances of abnormal conditions were noted, representing 3.7% of all drivers involved in crashes. These included 5 instances of drivers being under the influence of medications/drugs/alcohol, 2 instances of emotional distress, and 1 instance of falling asleep/fatigue.
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 11 instances, accounting for 5.0% of all drivers involved in crashes. The most common distractions were 'Other distraction inside the vehicle' (5 instances), 'Passenger' (4 instances), and 'Other distraction outside the vehicle' (2 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 vast majority of crashes, 123 out of 133, occurred on straight, level road alignments. Crashes on grades accounted for 10 incidents, or 7.5% of all crashes, with 9 on straight grades and 1 on a curve grade. One crash occurred on a curve.
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 actions for persons involved in crashes were 'Straight Ahead' (132 instances), 'Parked' (36 instances), and 'Slowing or Stopped In Traffic' (24 instances). These three actions represent 76.5% of all specified pre-crash actions.
Pre-Crash Driver Action
Showing top 9 of 12 reported. 3 additional (4 total) not shown: Walking; Running; Jogging; Playing, Overtaking/Passing, Negotiating a Curve.
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 in Galion was 'Angle' collisions, accounting for 46 crashes or 34.6% of the total. 'Rear-end' collisions were the second most frequent, with 25 incidents (18.8%), followed by 'Not Collision Between Two Vehicles in Transport' with 24 incidents (18%).
Manner of Collision
"Other" combines 1 smaller categories (2 records): Sideswipe; opposite direction (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, making up 119 out of 256 vehicles. Sport utility vehicles (48) and pick-up trucks (46) were also frequently involved. Commercial vehicles, including semi-tractors and cargo vans, accounted for 7 vehicles, or 2.7% of all vehicles.
Vehicle Type
"Other" combines 5 smaller categories (9 records): Motorcycle 2 Wheeled (3), Pedestrian/Skater (2), Semi-Tractor (2), Moped or Motorized Bicycle (1), Other Vehicle (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, totaling 218 individuals out of 296, representing 73.6%. Occupants accounted for 76 individuals, while 2 pedestrians were involved in crashes.
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 296 persons involved in crashes, 1 individual sustained fatal injuries (K), representing 0.34%. A total of 40 persons sustained injuries (A, B, or C), which is 13.5% of all persons. The remaining 255 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
Among participants for whom safety equipment data was available, 241 individuals used 'Shoulder and Lap Belt'. There were 15 instances where 'None Used' was reported, representing 5.6% of participants with specified safety equipment use.
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 involved two vehicles, with 113 incidents. Single-vehicle crashes accounted for 15 incidents, representing 11.3% of all crashes. There were 5 crashes involving three vehicles, with no larger multi-vehicle pile-ups reported.
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: Galion, OH
- Total crash records analyzed: 133
- Total persons involved: 296
- Total vehicles involved: 256
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). "Galion, 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/galion/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