Yearly Traffic Safety Analysis

1,413 CRASHES IN
OHIO, OH
2021

In 2021, Sandusky County recorded 1,413 traffic crashes, resulting in 5 fatalities and 450 injuries. These incidents involved 2,771 people and 2,129 vehicles. A notable finding from the data is the high frequency of single-vehicle crashes, which accounted for 57.3% of all collisions, with animal strikes, primarily involving deer, representing a significant portion of these incidents at 21.9% of the total crash volume.

1,413

Total Crash Events

5

Persons Killed

450

Persons Injured

8.7%

Hit-and-Run Rate

Note: "Persons Killed" (5) counts individual fatalities across all crash events. "Fatal" in the severity table below (4) 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

123

Hit-and-Run Crashes — 2021

In 2021, 123 crashes were classified as hit-and-run incidents, accounting for 8.7% of all crashes in Sandusky County. This classification is based on the initial determination made by the responding law enforcement officer at the scene of the collision.

Vulnerable Road User Casualties

In 2021, motorists comprised the largest group of individuals killed or injured in crashes, with 4 fatalities and 442 injuries. One pedestrian fatality and 8 pedestrian injuries were also recorded. No bicyclists were killed or injured during this period.

1

Pedestrians Killed

4

Motorists Killed

8

Pedestrians Injured

442

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

Crash frequency in Sandusky County peaked on Wednesdays, which saw 239 incidents over the year. The single most common time for crashes was the 4 p.m. hour, with 90 events recorded. A majority of crashes, 752 or 53.2%, occurred during daylight hours, while 454 crashes (32.1%) happened on unlit roadways after dark.

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, 77.1% or 1,089 incidents, resulted in no injuries. Crashes involving at least one injury (serious, minor, or possible) accounted for 22.6% of the total, or 320 events. There were 4 separate fatal crashes, which resulted in a total of 5 fatalities, as a single crash can involve more than one death.

Severity is per crash event (most severe injury). 4 fatal crash events resulted in 5 persons killed.

Outcome by Severity (Crash Events)

Fatal4fatal crashes0.3%
Serious Injury33serious injury crashes2.3%
Minor Injury186minor injury crashes13.2%
Possible Injury101possible injury crashes7.1%
No Injury1,089no injury crashes77.1%

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

A significant majority of crashes occurred in favorable conditions. Crashes in clear weather accounted for 63.4% (896 incidents) of the total, and 77.5% (1,095 incidents) happened on dry road surfaces. Over half of all crashes (53.2%, or 752 incidents) took place in daylight.

Weather

Clear896 (63.4%)
Cloudy285 (20.2%)
Rain137 (9.7%)
Snow72 (5.1%)
Other/Unknown8 (0.6%)
Fog; Smog; Smoke6 (0.4%)
Blowing Sand; Soil; Dirt; Snow4 (0.3%)
Freezing Rain or Freezing Drizzle3 (0.2%)
Severe Crosswinds1 (0.1%)
Sleet; Hail1 (0.1%)

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

Lighting

Daylight752 (53.2%)
Dark - Roadway Not Lighted454 (32.1%)
Dark - Lighted Roadway114 (8.1%)
Dawn/Dusk85 (6.0%)
Other/Unknown5 (0.4%)
Dark - Unknown Roadway Lighting3 (0.2%)

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

Road Surface

Dry1,095 (77.5%)
Wet215 (15.2%)
Snow73 (5.2%)
Ice18 (1.3%)
Other/Unknown6 (0.4%)
Slush5 (0.4%)
Water (Standing; Moving)1 (0.1%)

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

Vehicles & Demographics

Among the 2,771 people involved in crashes, the 26-34 age group was the most represented, with 432 individuals. Of the 2,129 vehicles involved, Chevrolet was the most frequent make with 402 vehicles, followed by Ford with 388 vehicles and Dodge with 155 vehicles.

Top Vehicle Makes (2,129 vehicles)

1
CHEVROLET402 (18.9%)
2
FORD388 (18.2%)
3
DODGE155 (7.3%)
4
FREIGHTLINER98 (4.6%)
5
CHRYSLER92 (4.3%)
6
HONDA90 (4.2%)
7
TOYOTA86 (4%)
8
JEEP85 (4%)
9
GMC73 (3.4%)
10
BUICK66 (3.1%)

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

92 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (2,712 persons with recorded sex)

Male1,613 (59.5%)
Female1,099 (40.5%)

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 first harmful event in most crashes, 1,073 incidents, occurred on the roadway itself. However, a notable portion of crashes involved a vehicle running off the road, with a combined 319 incidents (22.6%) occurring on the roadside, shoulder, median, or otherwise outside the trafficway.

Crash Location (First Harmful Event)

"Other" combines 5 smaller categories (11 records): Off ramp (3), On ramp (3), On Gore (2), Railway grade crossing (2), Toll Booth (1).

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

Traffic Control Device

The vast majority of units involved in crashes were at locations with no traffic control device present, accounting for 1,689 instances. For comparison, 232 units were involved in crashes at locations with a traffic signal, and 188 were at locations with a stop sign.

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 driver-related contributing factors, 'Drove off Road' was the most cited action, noted in 208 instances. This was followed by 'Following too Close / ACDA' with 168 instances and 'Failure to Yield' with 162 instances. These three factors represent the most common improper driver actions leading to crashes.

Driver Contributing Factor

1
Drove off Road208 (20.2%)
2
Following too Close / ACDA168 (16.3%)
3
Failure to Yield162 (15.7%)
4
Unsafe Speed78 (7.6%)
5
Other Improper Action61 (5.9%)
6
Improper Turn56 (5.4%)
7
Improper Backing53 (5.1%)
8
Improper Lane Change49 (4.8%)
9
Not Discernible35 (3.4%)

Showing top 9 of 22 reported. 13 additional (161 total) not shown: Ran Stop Sign, Left of Center, Ran Red Light, Operating Defective Equipment, Load shifting/Falling/Spilling, Swerving to Avoid, Improper Passing, Improper Start From a Parked Position, Stopped or Parked Illegally, Wrong Way, Improper Crossing, Opening Door into Roadway, Vision Obstruction.

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

Commercial / Truck Involvement

Crashes in 2021 involved 219 commercial vehicles. Of these, the majority (181) were semi-tractor trailers, while the remaining 38 were classified as other types of commercial vehicles.

Vulnerable Road Users & Motorcycles

A total of 31 crashes involved motorcyclists, pedestrians, or bicyclists. Motorcyclists were the most frequent group, involved in 16 crashes. Crashes involving vulnerable road users included 10 pedestrians and 5 bicyclists.

Animal-Involved Crashes

Crashes involving animals accounted for 310 incidents, representing 21.9% of all crashes in the county. The vast majority of these, 291 incidents, were strikes involving deer, with the remaining 19 involving other types of animals.

Impairment (Alcohol / Drugs)

Impairment was a factor in 90 crashes, which is 6.4% of the total for the year. Alcohol was the most common form of impairment, cited in 64 incidents, while drugs were a factor in 17 incidents and a combination of alcohol and drugs was noted in 9 incidents.

Driver Condition

Excluding drivers noted as 'Apparently Normal,' the most common condition reported was being 'Under the Influence of Medications / Drugs / Alcohol,' with 78 drivers. An additional 21 drivers were reported to have 'Fell Asleep; Fainted; Fatigued; etc.' at the time of their crash.

Driver Condition

1
Apparently Normal1,804 (90.5%)
2
Other/Unknown79 (4%)
3
Under the Influence of Medications / Drugs / Alcohol78 (3.9%)
4
Fell Asleep; Fainted; Fatigued; etc.21 (1.1%)
5
Physical Impairment6 (0.3%)
6
Emotional (E.G.; Depressed; Angry; Disturbed)4 (0.2%)
7
Illness2 (0.1%)

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 the 1,972 drivers with distraction information recorded, 78 were noted as being distracted. The most common distraction was 'Other distraction inside the vehicle,' cited for 31 drivers, followed by 'Manually operating an electronic communication device' for 16 drivers and 'Other activity with an electronic device' for 15 drivers.

Driver Distraction

1
Not Distracted1,839 (93.3%)
2
Other/Unknown55 (2.8%)
3
Other distraction inside the vehicle31 (1.6%)
4
Manually operating an electronic communication device (texting; typing; dialing)16 (0.8%)
5
Other activity with an electronic device15 (0.8%)
6
Other distraction outside the vehicle11 (0.6%)
7
Talking on hand-held communication device4 (0.2%)
8
Talking on hands-free communication device1 (0.1%)

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 roadway geometry was straight and level for the majority of crashes (1,221 incidents). Crashes on a grade (either straight or curved) occurred in 132 instances, or 9.3% of the total. Crashes on curves (either level or graded) accounted for 78 incidents, or 5.5% of the total.

Road Alignment

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

Top Cities

The geographic distribution of crashes was concentrated in a few key areas. The city of Fremont had the highest volume with 222 crashes, followed by the township of Sandusky with 175 and the township of Riley with 150. Together, these three locations accounted for 38.7% of all crashes in the county.

Top Cities

1
Fremont222 (15.7%)
2
Sandusky175 (12.4%)
3
Riley150 (10.6%)
4
Woodville138 (9.8%)
5
Washington137 (9.7%)
6
Ballville108 (7.6%)
7
Green Creek102 (7.2%)
8
Townsend95 (6.7%)
9
Clyde75 (5.3%)

Showing top 9 of 20 reported. 11 additional (211 total) not shown: Rice, York, Jackson, Madison, Bellevue, Scott, Green Springs, Gibsonburg, Hessville, Helena, Lindsey.

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

Pre-Crash Driver Action

Among the 2,129 vehicle units involved in crashes, the most common pre-crash action was 'Straight Ahead,' reported for 1,348 units (63.3%). Other frequent actions included 'Making Left Turn' (172 units) and 'Slowing or Stopped In Traffic' (165 units).

Pre-Crash Driver Action

1
Straight Ahead1,348 (63.3%)
2
Making Left Turn172 (8.1%)
3
Slowing or Stopped In Traffic165 (7.8%)
4
Parked110 (5.2%)
5
Backing71 (3.3%)
6
Making Right Turn70 (3.3%)
7
Negotiating a Curve52 (2.4%)
8
Changing Lanes50 (2.3%)
9
Entering Traffic Lane23 (1.1%)

Showing top 9 of 18 reported. 9 additional (68 total) not shown: Overtaking/Passing, Other/Unknown, Leaving Traffic Lane, Making U-Turn, Driverless, Walking; Running; Jogging; Playing, Other Non-Motorist, Entering or Crossing Specified Location, Working.

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

Manner of Collision

Single-vehicle crashes, officially classified as 'Not Collision Between Two Vehicles in Transport,' were the most common type of incident, accounting for 809 crashes or 57.3% of the total. The next most frequent collision type was an angle crash, with 248 incidents (17.6%).

Manner of Collision

"Other" combines 2 smaller categories (17 records): Other/Unknown (13), Rear-to-rear (4).

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 889 units, representing 41.8% of all vehicles. Sport Utility Vehicles (459 units) and Pickups (337 units) were the next most frequent. Commercial vehicles, including semi-tractors and single-unit trucks, were involved in 268 instances.

Vehicle Type

"Other" combines 10 smaller categories (73 records): Motorcycle 2 Wheeled (16), Other Vehicle (10), Unknown or Hit/Skip (10), Pedestrian/Skater (10), Bus (16+ Passengers) (8), Van (9-15 Seats) (5), Bicycle (5), Farm Equipment (5), Motorhome (3), 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

Of the 2,771 individuals involved in crashes, the majority were drivers, accounting for 2,005 people (72.4%). Passengers made up the next largest group with 756 individuals (27.3%), while pedestrians accounted for 10 individuals.

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 2,771 people involved in crashes, 2,288 individuals sustained no injuries. A total of 455 people were either injured or killed, representing 16.4% of all participants. This includes 5 fatalities, 38 serious injuries, 252 minor injuries, and 160 possible 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 2,761 occupants and non-motorists with safety equipment data, 201 individuals (7.3%) were recorded as using no safety equipment. The most common form of protection was a shoulder and lap belt, used by 2,243 individuals.

Occupant Safety Equipment

"Other" combines 3 smaller categories (20 records): Lap Belt Only Used (15), Helmet Used (4), Protective Pads Used (Elbow; knees; etc.) (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

Single-vehicle crashes were the most common incident type, with 738 crashes, making up 52.2% of the total. Two-vehicle collisions were also frequent, accounting for 641 crashes (45.4%). Crashes involving three or more vehicles were less common, with 34 such incidents recorded.

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: ohio, OH
  • Total crash records analyzed: 1,413
  • Total persons involved: 2,771
  • Total vehicles involved: 2,129

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). "ohio, 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/statewide/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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Sandusky County, OH Crash Report — 2021 | ThatCarHitMe.com