Yearly Traffic Safety Analysis

64 CRASHES IN
GRATIS, OH
2021

In 2021, Gratis experienced 64 traffic crashes, resulting in 0 fatalities and 23 injuries. A notable finding is that 68.8% of crashes were classified as 'Not Collision Between Two Vehicles in Transport', indicating a high proportion of single-vehicle incidents. The data also shows that Fridays and 5 PM were the peak times for crash occurrences.

64

Total Crash Events

0

Persons Killed

23

Persons Injured

9.4%

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

In 2021, 6 hit-and-run crashes were reported in Gratis, accounting for 9.4% 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, there were no pedestrians or cyclists killed or injured in crashes in Gratis. All 23 reported injuries were sustained by motorists, with no motorist fatalities recorded.

0

Motorists Killed

23

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 Gratis peaked on Fridays with 18 incidents, and the most frequent hour for crashes was 5 PM, with 9 occurrences. Approximately 51.6% of crashes occurred during daylight hours, while 48.4% occurred during dark or dawn/dusk conditions, indicating a relatively even distribution between day and night.

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 64 crashes in Gratis, 50 (78.1%) resulted in no injuries. Injury crashes, encompassing serious, minor, and possible injuries, totaled 14 incidents (21.8%). There were no fatal crashes reported in Gratis for 2021.

Outcome by Severity (Crash Events)

Serious Injury5serious injury crashes7.8%
Minor Injury7minor injury crashes10.9%
Possible Injury2possible injury crashes3.1%
No Injury50no injury crashes78.1%

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 Gratis occurred under clear weather conditions (39 crashes, 60.9%) and on dry road surfaces (42 crashes, 65.6%). Daylight was the prevailing lighting condition for 33 crashes (51.6%), with 31 crashes (48.4%) occurring during dark or dawn/dusk hours.

Weather

Clear39 (60.9%)
Rain13 (20.3%)
Cloudy9 (14.1%)
Snow2 (3.1%)
Fog; Smog; Smoke1 (1.6%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Weather condition at time of crash

Lighting

Daylight33 (51.6%)
Dark - Roadway Not Lighted23 (35.9%)
Dawn/Dusk7 (10.9%)
Dark - Unknown Roadway Lighting1 (1.6%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Lighting condition field

Road Surface

Dry42 (65.6%)
Wet19 (29.7%)
Snow2 (3.1%)
Ice1 (1.6%)

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 0-15 years accounted for the largest number of persons involved in crashes, with 23 individuals, followed by the 26-34 age group with 19 persons. Passenger Cars were the most frequently involved vehicle type, with 34 units, while Chevrolet was the most common vehicle make, appearing 15 times.

Top Vehicle Makes (87 vehicles)

1
CHEVROLET15 (17.2%)
2
TOYOTA11 (12.6%)
3
FORD7 (8%)
4
HONDA6 (6.9%)
5
GMC6 (6.9%)
6
BUICK5 (5.7%)
7
JEEP3 (3.4%)
8
NISSAN3 (3.4%)
9
DODGE3 (3.4%)
10
HARLEY DAVIDSON3 (3.4%)

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 (118 persons with recorded sex)

Male61 (51.7%)
Female57 (48.3%)

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)

Approximately 42.2% of crashes (27 out of 64) in Gratis occurred off the travel lanes, specifically on the roadside (22), on the shoulder (3), or outside the trafficway (2). The remaining 36 crashes occurred on the roadway itself, with 1 crash occurring in a driveway/alley access.

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

The dominant traffic control present at crash locations was 'No Control', accounting for 71 instances across involved vehicles. Other control types included Stop Signs (10), Flashers (5), and Roundabouts (1). No crashes occurred at locations governed by traffic signals.

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 improper actions contributing to crashes were 'Drove off Road' (15 instances), 'Following too Close / ACDA' (6 instances), 'Unsafe Speed' (6 instances), and 'Failure to Yield' (6 instances). 'Left of Center' was also a factor in 5 instances.

Driver Contributing Factor

1
Drove off Road15 (30%)
2
Following too Close / ACDA6 (12%)
3
Unsafe Speed6 (12%)
4
Failure to Yield6 (12%)
5
Left of Center5 (10%)
6
Operating Defective Equipment4 (8%)
7
Swerving to Avoid3 (6%)
8
Not Discernible2 (4%)
9
Other Improper Action2 (4%)

Showing top 9 of 10 reported. 1 additional (1 total) not shown: Ran Red Light.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records

Animal-Involved Crashes

Animal-related crashes accounted for 13 of the 64 total crashes in Gratis, representing 20.3% of all incidents. Among these, deer strikes were the most common, totaling 10 incidents, with 3 crashes involving other animal types.

Driver Condition

Five drivers were reported with abnormal conditions at the time of their crashes, out of 86 total drivers. Four drivers were 'Under the Influence of Medications / Drugs / Alcohol', and one driver 'Fell Asleep; Fainted; Fatigued; etc.'.

Driver Condition

1
Apparently Normal75 (89.3%)
2
Other/Unknown4 (4.8%)
3
Under the Influence of Medications / Drugs / Alcohol4 (4.8%)
4
Fell Asleep; Fainted; Fatigued; etc.1 (1.2%)

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

Four drivers were reported as distracted at the time of their crashes, out of 86 drivers with known distraction status. Two drivers were distracted by 'Other distraction inside the vehicle', while one was distracted by 'Other activity with an electronic device' and another by 'Other distraction outside the vehicle'.

Driver Distraction

1
Not Distracted76 (91.6%)
2
Other/Unknown3 (3.6%)
3
Other distraction inside the vehicle2 (2.4%)
4
Other activity with an electronic device1 (1.2%)
5
Other distraction outside the vehicle1 (1.2%)

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 25% of crashes (16 out of 64) occurred on curves, with 8 on a curve with a grade and 8 on a curve on a level road. Additionally, 43.8% of crashes (28 out of 64) occurred on roadways with a grade, combining straight grades and curved grades.

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 58 instances. 'Negotiating a Curve' was the second most frequent action with 14 instances, followed by 'Slowing or Stopped In Traffic' with 7 instances.

Pre-Crash Driver Action

1
Straight Ahead58 (66.7%)
2
Negotiating a Curve14 (16.1%)
3
Slowing or Stopped In Traffic7 (8%)
4
Making Left Turn4 (4.6%)
5
Making Right Turn3 (3.4%)
6
Other/Unknown1 (1.1%)

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 44 crashes (68.8%). This indicates a high proportion of single-vehicle incidents. 'Angle' collisions were the next most common, with 8 incidents (12.5%).

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 34 units, representing 39.1% of all vehicles. Sport Utility Vehicles and Pickups followed with 21 and 17 units, respectively. Commercial vehicles, including Semi-Tractors and Single Unit Trucks, accounted for 5 units.

Vehicle Type

"Other" combines 3 smaller categories (3 records): Single Unit Truck (1), Heavy 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 largest group of persons involved in crashes, with 86 individuals, representing 69.4% of all persons. Occupants (passengers) accounted for the remaining 38 individuals (30.6%). No pedestrians or cyclists 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 122 persons with known injury severity, 23 sustained injuries, comprising 9 serious, 10 minor, and 4 possible injuries. The remaining 99 persons reported no injuries. There were no fatalities among persons involved in crashes.

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 occupants with known safety equipment use, 96 individuals (81.4%) were using a 'Shoulder and Lap Belt'. Ten individuals (8.5%) were reported as using 'None Used'. Child restraint systems were used by 12 individuals.

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 were the most common, accounting for 42 of the 64 total crashes (65.6%). Two-vehicle crashes made up 21 incidents, and only 1 crash 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: Gratis, OH
  • Total crash records analyzed: 64
  • Total persons involved: 124
  • Total vehicles involved: 87

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). "Gratis, 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/gratis/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

Gratis, OH Crash Report — 2021 | ThatCarHitMe.com