ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · GROVEPORT, 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/groveport/2021-annual-report
Yearly Traffic Safety Analysis
151 CRASHES IN
GROVEPORT, OH
2021
In 2021, Groveport, Ohio experienced 151 traffic crashes, resulting in 52 injuries and no fatalities. A notable finding is that 75.5% of these crashes, or 114 incidents, resulted in no reported injuries. This data provides a comprehensive overview of crash characteristics within the jurisdiction for the specified period.
151
Total Crash Events
0
Persons Killed
52
Persons Injured
14.6%
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
22
Hit-and-Run Crashes — 2021
Of the 151 crashes, 22 incidents (14.6%) were identified as hit-and-run. The determination of hit-and-run status is based on the initial assessment by the responding officer at the scene of the crash.
Vulnerable Road User Casualties
There were no fatalities reported among pedestrians, cyclists, or motorists in 2021. Injuries were sustained by 51 motorists and 1 pedestrian, totaling 52 injured individuals. No cyclists were reported as injured during this period.
0
Pedestrians Killed
0
Motorists Killed
1
Pedestrians Injured
51
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 Groveport occurred most frequently on Mondays, with 30 incidents reported. The peak hour for crashes was 4 PM, recording 18 incidents. The majority of crashes, 100 incidents (66.2%), happened during daylight hours, while 41 incidents (27.2%) 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
Out of 151 crashes, 114 (75.5%) resulted in no injuries. Injury crashes totaled 37 incidents (24.5%), including 1 serious injury crash, 22 minor injury crashes, and 14 possible injury crashes. No fatal crashes were recorded, meaning there were no fatalities among all persons involved.
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 clear weather (85 incidents, 56.3%), on dry road surfaces (112 incidents, 74.2%), and during daylight hours (100 incidents, 66.2%). Conversely, 23 crashes (15.2%) occurred in adverse weather conditions such as rain or snow, 38 crashes (25.2%) on wet, snowy, or icy road surfaces, and 41 crashes (27.2%) 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 345 persons involved in crashes, the age groups 26-34 (72 persons) and 45-54 (62 persons) were most represented. The most frequent vehicle makes involved were FORD (41 vehicles), CHEVROLET (38 vehicles), and HONDA (34 vehicles). This data reflects the demographics of persons and the types of vehicles present in crash incidents.
Top Vehicle Makes (286 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
20 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (328 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, 138 incidents, occurred on the roadway. A total of 12 crashes (7.9%) occurred off the primary travel lanes, with 7 on the shoulder, 3 outside the trafficway, and 2 on the roadside, indicating instances of vehicles leaving the main road.
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, 143 were at locations with no traffic control. An equal number of vehicles, 143, were involved in crashes at locations with some form of traffic control, including 106 at signals, 35 at stop signs, and 2 at yield signs. The dominant control types for vehicle involvement were 'No Control' and 'Signal'.
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 frequent contributing factors among drivers were 'Following too Close / ACDA' (38 drivers, 13.8% of drivers) and 'Failure to Yield' (31 drivers, 11.2% of drivers). Other notable factors included 'Drove off Road' (11 drivers, 4.0%), 'Ran Red Light' (9 drivers, 3.3%), 'Improper Lane Change' (9 drivers, 3.3%), and 'Improper Turn' (9 drivers, 3.3%).
Driver Contributing Factor
Showing top 9 of 16 reported. 7 additional (15 total) not shown: Left of Center, Improper Backing, Not Discernible, Swerving to Avoid, Wrong Way, Unsafe Speed, Improper Crossing.
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 26 crashes, representing 17.2% of all incidents. This included 19 semi-tractor trailers and 7 other commercial vehicles, indicating a significant presence of heavy vehicles in crash data.
Driver Condition
Among drivers involved in crashes, 4 were reported as 'Under the Influence of Medications / Drugs / Alcohol' (1.4% of drivers). Additionally, 2 drivers experienced 'Illness' (0.7% of drivers), and 1 driver 'Fell Asleep; Fainted; Fatigued; etc.' (0.4% of drivers).
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 several incidents. Four drivers (1.4% of all drivers) were distracted by 'Other distraction outside the vehicle'. Two drivers (0.7% of all drivers) were distracted by 'Other activity with an electronic device', and another two (0.7% of all drivers) by 'Other distraction inside the vehicle'.
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
Nine crashes (6.0% of total crashes) occurred on curved road alignments. Additionally, 5 crashes (3.3% of total crashes) occurred on road grades, indicating these geometric features were present in a portion of 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
The most common pre-crash action for drivers was 'Straight Ahead', accounting for 146 drivers (52.9%). 'Slowing or Stopped In Traffic' was the action for 44 drivers (15.9%), followed by 'Making Left Turn' for 35 drivers (12.7%).
Pre-Crash Driver Action
Showing top 9 of 15 reported. 6 additional (13 total) not shown: Backing, Negotiating a Curve, Entering Traffic Lane, Driverless, Other Non-Motorist, Making U-Turn.
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 'Angle', involved in 52 crashes (34.4%). 'Rear-end' collisions were the second most common, with 40 incidents (26.5%). 'Not Collision Between Two Vehicles in Transport' accounted for 32 crashes (21.2%).
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 prevalent vehicle type involved, accounting for 140 vehicles (49.0% of all vehicles). Commercial vehicles, including semi-tractors, cargo vans, single unit trucks, and buses, collectively represented 30 vehicles (10.5% of all vehicles).
Vehicle Type
"Other" combines 5 smaller categories (8 records): Other Vehicle (2), Heavy Equipment (2), Single Unit Truck (2), Pedestrian/Skater (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, totaling 276 individuals (80.0%). Occupants accounted for 68 persons (19.7%), while 1 pedestrian (0.3%) 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
Among all 345 persons involved in crashes, 52 sustained injuries (15.1%), with 2 individuals suffering serious injuries, 28 minor injuries, and 22 possible injuries. No fatalities were recorded among persons.
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
A large majority of participants, 297 individuals, used 'Shoulder and Lap Belt Used'. However, 11 participants (3.2%) were recorded as having used 'None Used' at the time of the crash.
Occupant Safety Equipment
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 accounted for 26 incidents (17.2% of all crashes). The majority of crashes, 116, involved two vehicles, while 9 crashes (6.0%) involved three or more 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: Groveport, OH
- Total crash records analyzed: 151
- Total persons involved: 345
- Total vehicles involved: 286
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). "Groveport, 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/groveport/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