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An Injuria.ai Company
CRASH INTELLIGENCE REPORT · COAL GROVE, 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/coal-grove/2021-annual-report
Yearly Traffic Safety Analysis
73 CRASHES IN
COAL GROVE, OH
2021
In 2021, Coal Grove experienced 73 traffic crashes, resulting in 0 fatalities and 32 injuries. A significant majority of these crashes, 52.1%, were identified as rear-end collisions. The data indicates that 71.2% of crashes resulted in no injury, while 28.8% involved some level of injury.
73
Total Crash Events
0
Persons Killed
32
Persons Injured
8.2%
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
6
Hit-and-Run Crashes — 2021
There were 6 hit-and-run crashes in Coal Grove during 2021, accounting for 8.2% of all crashes. Hit-and-run status is based on the responding officer's initial determination at the crash scene.
Vulnerable Road User Casualties
There were no fatalities reported among pedestrians, cyclists, or motorists in Coal Grove during 2021. All 32 reported injuries were sustained by motorists. No pedestrians or cyclists were reported injured in these crashes.
0
Motorists Killed
32
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 Coal Grove peaked on Thursdays, with 22 incidents reported, and were least frequent on Saturdays and Sundays, each with 6 crashes. The peak hour for crashes was 5 PM, recording 14 incidents. The majority of crashes, 59, occurred during daylight hours, while 12 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
Of the 73 crashes, 52 (71.2%) resulted in no injuries. Injury crashes accounted for 21 incidents, comprising 4.1% serious injuries, 9.6% minor injuries, and 15.1% possible injuries. No fatal crashes were reported in Coal Grove during 2021, meaning no persons were killed in these incidents.
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 Coal Grove occurred under clear weather conditions (37 crashes, 50.7%) and on dry road surfaces (58 crashes, 79.5%). Most incidents also took place during daylight hours, accounting for 59 crashes (80.8%). Adverse conditions such as rain (10 crashes) or wet road surfaces (14 crashes) were less common.
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 all persons involved in crashes, the 16-20 age group was most represented with 29 individuals, followed by the 35-44 age group with 27 individuals. Passenger cars were the most common vehicle type involved, accounting for 63 vehicles, or 44.4% of all vehicles. Ford and Chevrolet were the most frequently involved vehicle makes, with 32 and 22 vehicles respectively.
Top Vehicle Makes (142 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
5 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (182 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, 48 (65.8%), occurred directly on the roadway. A notable share of 25 crashes (34.2%) occurred off the travel lanes, including 15 on off-ramps, 5 on on-ramps, and 5 on the roadside. These incidents signal a potential for run-off-road issues.
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 (52.1%) were at locations with no traffic control. Signalized intersections accounted for 50 vehicles (35.2%) involved in crashes. Stop signs were present at locations involving 13 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 factor among drivers was 'Following too Close / ACDA', accounting for 34 instances (23.9% of drivers). 'Failure to Yield' was the second most common factor, attributed to 10 drivers (7.0%). 'Drove off Road' and 'Unsafe Speed' each contributed to 2 driver actions.
Driver Contributing Factor
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Driver Condition
Eight drivers were noted to have abnormal conditions at the time of their crash, accounting for 5.6% of all drivers. This included 5 drivers under the influence of medications, drugs, or alcohol, 2 drivers described as emotional, and 1 driver experiencing illness. The majority of drivers were reported as 'Apparently Normal'.
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
Nine drivers were identified as distracted, representing 6.3% of all drivers involved in crashes. The most common distractions included other distractions outside the vehicle (2), talking on a hand-held communication device (2), and other distractions inside the vehicle (2). One driver was manually operating an electronic communication device.
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
Approximately 16.4% of crashes (12 incidents) occurred on curved road alignments, with 8 on curve grades and 4 on curve levels. Crashes on graded sections of roadway, including both straight and curved grades, accounted for 30 incidents, or 41.1% of all crashes. The remaining incidents occurred on straight, level road 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
The most frequent pre-crash action for drivers was 'Straight Ahead', observed in 71 instances (50.0% of drivers). 'Slowing or Stopped In Traffic' was the second most common action, accounting for 42 instances (29.6%). 'Making Left Turn' was noted for 8 drivers (5.6%).
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
Rear-end collisions were the predominant crash type, accounting for 38 incidents (52.1% of all crashes). The next most common manner of collision was 'Not Collision Between Two Vehicles in Transport', with 10 incidents (13.7%). Sideswipe collisions in the same direction occurred in 7 crashes (9.6%).
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, totaling 63 vehicles and representing 44.4% of all vehicles. Sport Utility Vehicles (42 vehicles) and Pickups (23 vehicles) were also frequently involved. Commercial vehicles, including pickups, semi-tractors, single unit trucks, and cargo vans, collectively accounted for 28 vehicles (19.7%).
Vehicle Type
"Other" combines 3 smaller categories (3 records): Other Vehicle (1), Single Unit Truck (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 142 individuals (76.8% of all persons). Occupants accounted for the remaining 43 individuals (23.2%). No pedestrians or cyclists were listed among the person types involved.
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 185 persons involved in crashes, 32 sustained injuries, representing 17.3% of all individuals. This included 4 serious injuries, 8 minor injuries, and 20 possible injuries. The majority of individuals, 150 (81.1%), 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
A significant majority of participants, 119 individuals (64.3%), were using shoulder and lap belts. However, 31 individuals (16.8%) were recorded as using no safety equipment. Additionally, 4 individuals were utilizing child restraint systems.
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
The majority of crashes, 58 (79.5%), involved two vehicles. Single-vehicle crashes accounted for 10 incidents, representing 13.7% of all crashes. Five crashes involved three or more vehicles, including one incident with four 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: Coal Grove, OH
- Total crash records analyzed: 73
- Total persons involved: 185
- Total vehicles involved: 142
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). "Coal Grove, 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/coal-grove/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