Yearly Traffic Safety Analysis

57 CRASHES IN
HEBRON, OH
2021

In 2021, Hebron, Ohio experienced a total of 57 traffic crashes, resulting in 0 fatalities and 12 injuries. A significant majority of these incidents, 49 crashes (86%), resulted in no reported injuries.

57

Total Crash Events

0

Persons Killed

12

Persons Injured

10.5%

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, accounting for 10.5% of all crashes in Hebron in 2021. This hit-and-run status is based on the responding officer's initial determination at the scene.

Vulnerable Road User Casualties

There were no fatalities among pedestrians, cyclists, or motorists in 2021. A total of 11 motorists sustained injuries, making them the most impacted group. One pedestrian also sustained injuries, while no cyclists were injured.

0

Pedestrians Killed

0

Motorists Killed

1

Pedestrians Injured

11

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 Hebron occurred most frequently on Mondays, with 13 incidents recorded. The peak hour for crashes was 12 PM, with 8 occurrences. Overall, 41 crashes occurred during daylight hours (6 AM to 6 PM), while 16 crashes occurred during dark hours (6 PM to 6 AM).

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

The majority of crashes, 49 out of 57 (86%), resulted in no injuries. A total of 8 crashes involved injuries, with 1 crash resulting in a serious injury, 3 in minor injuries, and 4 in possible injuries. There were no fatal crashes recorded in 2021.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes1.8%
Minor Injury3minor injury crashes5.3%
Possible Injury4possible injury crashes7%
No Injury49no injury crashes86%

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

Most crashes occurred under clear weather conditions (32 crashes, 56.1%), on dry road surfaces (42 crashes, 73.7%), and during daylight hours (39 crashes, 68.4%). Adverse conditions included 8 crashes (14%) in rain and 3 crashes (5.3%) in snow. Wet road surfaces were present in 13 crashes (22.8%), and 17 crashes (29.8%) occurred in dark conditions.

Weather

Clear32 (56.1%)
Cloudy14 (24.6%)
Rain8 (14.0%)
Snow3 (5.3%)

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

Lighting

Daylight39 (68.4%)
Dark - Lighted Roadway14 (24.6%)
Dark - Roadway Not Lighted3 (5.3%)
Dawn/Dusk1 (1.8%)

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

Road Surface

Dry42 (73.7%)
Wet13 (22.8%)
Slush1 (1.8%)
Snow1 (1.8%)

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 55-64 age group was most represented with 19 individuals, followed by the 35-44 age group with 18 individuals. Ford vehicles were involved most frequently in crashes, with 15 instances, followed by Chevrolet with 13 and Honda with 10.

Top Vehicle Makes (96 vehicles)

1
FORD15 (15.6%)
2
CHEVROLET13 (13.5%)
3
HONDA10 (10.4%)
4
DODGE9 (9.4%)
5
NISSAN5 (5.2%)
6
GMC5 (5.2%)
7
TOYOTA5 (5.2%)
8
JEEP4 (4.2%)
9
FREIGHTLINER3 (3.1%)
10
HYUNDAI3 (3.1%)

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 (117 persons with recorded sex)

Male65 (55.6%)
Female52 (44.4%)

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, 43 out of 57 (75.4%), occurred on the roadway. A total of 12 crashes (21.1%) occurred off the immediate travel lanes, including 5 on the shoulder, 5 outside the trafficway, and 2 on the roadside.

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 recorded traffic control occurrences, 'No Control' was the most frequent, with 42 instances. 'Signal' was present in 35 occurrences, while 'Stop Sign' was noted in 16 occurrences. These counts represent the types of traffic control present at crash locations.

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

Among the recorded contributing factors, 'Other Improper Action' and 'Failure to Yield' were the most common, each accounting for 10 occurrences (21.7% each). 'Following too Close / ACDA' was a factor in 7 occurrences (15.2%), and 'Drove off Road' in 6 occurrences (13%).

Driver Contributing Factor

1
Other Improper Action10 (21.7%)
2
Failure to Yield10 (21.7%)
3
Following too Close / ACDA7 (15.2%)
4
Drove off Road6 (13%)
5
Left of Center3 (6.5%)
6
Improper Lane Change3 (6.5%)
7
Improper Turn2 (4.3%)
8
Ran Red Light2 (4.3%)
9
Improper Backing1 (2.2%)

Showing top 9 of 11 reported. 2 additional (2 total) not shown: Unsafe Speed, Wrong Way.

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

Driver Condition

Among driver conditions recorded, 3 occurrences indicated an abnormal state. Two drivers were reported as being 'Under the Influence of Medications / Drugs / Alcohol', and one driver was noted as having 'Fell Asleep; Fainted; Fatigued; etc.'. These abnormal conditions accounted for 3.3% of all recorded driver conditions.

Driver Condition

1
Apparently Normal82 (91.1%)
2
Other/Unknown5 (5.6%)
3
Under the Influence of Medications / Drugs / Alcohol2 (2.2%)
4
Fell Asleep; Fainted; Fatigued; etc.1 (1.1%)

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

Among driver distraction occurrences, 7 instances involved specific distractions. 'Other distraction inside the vehicle' accounted for 3 occurrences, while 'Other activity with an electronic device' and 'Talking on hand-held communication device' each accounted for 2 occurrences. These identified distractions represent 7.9% of all recorded driver distraction conditions.

Driver Distraction

1
Not Distracted77 (86.5%)
2
Other/Unknown5 (5.6%)
3
Other distraction inside the vehicle3 (3.4%)
4
Other activity with an electronic device2 (2.2%)
5
Talking on hand-held communication device2 (2.2%)

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

The majority of crashes, 47 out of 57 (82.5%), occurred on 'Straight Level' roadways. Crashes on curves accounted for 7 instances (12.3%), while those on grades occurred in 4 instances (7%).

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 recorded was 'Straight Ahead', accounting for 40 occurrences (42.1%). This was followed by 'Slowing or Stopped In Traffic' with 16 occurrences (16.8%), and 'Making Left Turn' with 11 occurrences (11.6%).

Pre-Crash Driver Action

1
Straight Ahead40 (41.7%)
2
Slowing or Stopped In Traffic16 (16.7%)
3
Making Left Turn11 (11.5%)
4
Making Right Turn8 (8.3%)
5
Other/Unknown6 (6.3%)
6
Changing Lanes4 (4.2%)
7
Backing2 (2.1%)
8
Entering Traffic Lane2 (2.1%)
9
Negotiating a Curve2 (2.1%)

Showing top 9 of 13 reported. 4 additional (5 total) not shown: Parked, Walking; Running; Jogging; Playing, Leaving Traffic Lane, 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 most common manner of collision was 'Not Collision Between Two Vehicles in Transport', accounting for 20 crashes or 35.1% of the total. 'Rear-end' collisions were the next most frequent, with 15 crashes (26.3%), followed by 'Angle' collisions at 8 crashes (14%).

Manner of Collision

"Other" combines 1 smaller categories (1 records): Head-on (1).

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 frequently involved vehicle type, accounting for 43 out of 96 vehicles (44.8%). Commercial vehicles, including Semi-Tractors, Heavy Equipment, Cargo Vans, and Single Unit Trucks, collectively accounted for 10 vehicles (10.4%).

Vehicle Type

"Other" combines 5 smaller categories (5 records): Pedestrian/Skater (1), Heavy Equipment (1), Motorcycle 2 Wheeled (1), Cargo Van (1), Single Unit Truck (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 92 individuals (74.8%). Occupants accounted for 30 persons (24.4%), while one pedestrian was also involved, representing 0.8% of all persons.

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 the 120 persons with recorded injury severity, 108 individuals (90%) sustained no injuries. A total of 12 persons sustained injuries, with 1 person experiencing a serious injury, 6 persons minor injuries, and 5 persons possible injuries. No fatalities were recorded 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

Of the 122 persons with recorded safety equipment use, 93 individuals (76.2%) used a 'Shoulder and Lap Belt'. A notable 7 persons (5.7%) were recorded as having used 'None Used' safety equipment.

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, 37 out of 57 (64.9%), involved two vehicles. Single-vehicle crashes accounted for 19 instances (33.3%). Only one crash (1.8%) 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 5, 2026

Data Coverage

  • Reporting period: 2021-01-01 through 2021-12-31 (365 days)
  • Geographic scope: Hebron, OH
  • Total crash records analyzed: 57
  • Total persons involved: 123
  • Total vehicles involved: 96

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). "Hebron, 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/hebron/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

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Hebron, OH Crash Report — 2021 | ThatCarHitMe.com