Yearly Traffic Safety Analysis

1,232 CRASHES IN
OHIO, OH
2021

In 2021, Huron County recorded 1,232 traffic crashes, resulting in 4 fatalities and 356 injuries. A significant portion of these incidents, 28.5%, involved collisions with animals, with 351 such crashes reported. The data also indicates that the majority of crashes, 79.3%, resulted in no injuries.

1,232

Total Crash Events

4

Persons Killed

356

Persons Injured

7.5%

Hit-and-Run Rate

Note: "Persons Killed" (4) counts individual fatalities across all crash events. "Fatal" in the severity table below (3) 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

93

Hit-and-Run Crashes — 2021

In 2021, 93 crashes in Huron County were classified as hit-and-run incidents. This represents 7.5% of all total crashes for the year. This determination is based on the initial report from the responding law enforcement officer at the scene.

Vulnerable Road User Casualties

In 2021, motorists accounted for all 4 fatalities and the vast majority of injuries, with 349 motorists injured. No pedestrian or cyclist fatalities were recorded. However, 7 pedestrians were injured in crashes throughout the year.

0

Pedestrians Killed

4

Motorists Killed

7

Pedestrians Injured

349

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 occurrences in Huron County peaked on Mondays, which saw 193 incidents in 2021. The single busiest hour for crashes was 3 p.m., with 96 events recorded. Overall, crashes were more frequent during daylight hours, which accounted for 661 incidents, compared to 459 crashes that 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

The vast majority of crashes in 2021, 79.3% or 977 incidents, resulted in no injuries. Crashes involving some level of injury accounted for 20.5% of the total, including 29 serious injury crashes. There were 3 fatal crashes recorded, which resulted in a total of 4 fatalities.

Severity is per crash event (most severe injury). 3 fatal crash events resulted in 4 persons killed.

Outcome by Severity (Crash Events)

Fatal3fatal crashes0.2%
Serious Injury29serious injury crashes2.4%
Minor Injury155minor injury crashes12.6%
Possible Injury68possible injury crashes5.5%
No Injury977no injury crashes79.3%

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 in Huron County occurred in ideal driving conditions. Specifically, 63.1% of crashes happened in clear weather, 77.0% on dry road surfaces, and 53.6% during daylight hours. Crashes in adverse weather included 85 in rain and 54 in snow, while incidents on wet or snow-covered roads numbered 190 and 61, respectively.

Weather

Clear778 (63.1%)
Cloudy286 (23.2%)
Rain85 (6.9%)
Snow54 (4.4%)
Fog; Smog; Smoke11 (0.9%)
Other/Unknown6 (0.5%)
Freezing Rain or Freezing Drizzle5 (0.4%)
Severe Crosswinds4 (0.3%)
Sleet; Hail3 (0.2%)

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

Lighting

Daylight661 (53.7%)
Dark - Roadway Not Lighted361 (29.3%)
Dawn/Dusk101 (8.2%)
Dark - Lighted Roadway98 (8.0%)
Dark - Unknown Roadway Lighting6 (0.5%)
Other/Unknown5 (0.4%)

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

Road Surface

Dry949 (77.0%)
Wet190 (15.4%)
Snow61 (5.0%)
Ice25 (2.0%)
Other/Unknown3 (0.2%)
Slush2 (0.2%)
Sand; Mud; Dirt; Oil; Gravel1 (0.1%)
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

Analysis of persons involved in crashes shows the 26-34 age group was the most represented, with 354 individuals, followed by the 16-20 age group with 319 individuals. Among the 1,815 vehicles involved, the most frequent makes were Chevrolet (395 vehicles), Ford (370 vehicles), and Dodge (122 vehicles).

Top Vehicle Makes (1,815 vehicles)

1
CHEVROLET395 (21.8%)
2
FORD370 (20.4%)
3
DODGE122 (6.7%)
4
JEEP85 (4.7%)
5
HONDA84 (4.6%)
6
TOYOTA83 (4.6%)
7
KIA75 (4.1%)
8
CHRYSLER53 (2.9%)
9
GMC53 (2.9%)
10
NISSAN46 (2.5%)

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

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

Sex Distribution (2,282 persons with recorded sex)

Male1,292 (56.6%)
Female990 (43.4%)

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 initial harmful event in most crashes, 963 out of 1,232, occurred on the roadway itself. A notable portion, 254 crashes or 20.6% of the total, were run-off-road incidents where the first harmful event happened on the roadside, shoulder, or in the median. This includes 164 crashes on the roadside and 64 on the shoulder.

Crash Location (First Harmful Event)

"Other" combines 3 smaller categories (4 records): In Median (2), Railway grade crossing (1), Shared-use paths or trails (1).

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

Traffic Control Device

Analysis of traffic controls at crash locations indicates that the majority of incidents occurred where no control was present, involving 1,372 vehicles. Crashes at signalized intersections involved 236 vehicles, and incidents at locations with stop signs involved 198 vehicles. The dominant environment for crashes was roadway segments without active traffic control devices.

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 common contributing factor attributed to drivers was 'Following too Close / ACDA,' cited in 176 instances. This was closely followed by 'Drove off Road' with 174 instances and 'Failure to Yield' with 156 instances. These three factors represent the leading driver actions contributing to crashes in the county.

Driver Contributing Factor

1
Following too Close / ACDA176 (20.3%)
2
Drove off Road174 (20.1%)
3
Failure to Yield156 (18%)
4
Other Improper Action60 (6.9%)
5
Improper Backing60 (6.9%)
6
Unsafe Speed50 (5.8%)
7
Ran Stop Sign33 (3.8%)
8
Left of Center32 (3.7%)
9
Not Discernible21 (2.4%)

Showing top 9 of 22 reported. 13 additional (104 total) not shown: Ran Red Light, Swerving to Avoid, Improper Passing, Improper Lane Change, Operating Defective Equipment, Improper Turn, Load shifting/Falling/Spilling, Vision Obstruction, Improper Start From a Parked Position, Wrong Way, Improper Crossing, Lying in Roadway, Opening Door into Roadway.

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

Commercial / Truck Involvement

Crashes involving commercial trucks accounted for 86 incidents, or 7.0% of all crashes in Huron County. Among these, 66 crashes involved a semi-tractor trailer, while the remaining 20 involved other types of commercial vehicles.

Vulnerable Road Users & Motorcycles

A total of 42 crashes involved vulnerable road users, including motorcyclists, pedestrians, and bicyclists. Motorcyclists were involved in 30 of these crashes. Combined, pedestrians and bicyclists were involved in 12 crashes, representing just under 1% of all incidents.

Animal-Involved Crashes

Collisions with animals were a significant factor in Huron County, accounting for 351 crashes, or 28.5% of the total for the year. The vast majority of these incidents, 338 crashes, involved deer. An additional 13 crashes were attributed to collisions with other animals.

Impairment (Alcohol / Drugs)

Impairment was a factor in 76 crashes, constituting 6.2% of all incidents in the county. Among these, alcohol was suspected in 44 crashes, drugs in 21 crashes, and a combination of both in 11 crashes. These figures represent a minimum baseline, as impairment can be under-reported.

Driver Condition

Among the 1,741 drivers involved in crashes, 100 were noted as having a condition other than 'Apparently Normal.' The most common of these was driving under the influence of medications, drugs, or alcohol, which was recorded for 65 drivers. An additional 22 drivers were reported as having fallen asleep, fainted, or being fatigued.

Driver Condition

1
Apparently Normal1,565 (90.2%)
2
Other/Unknown70 (4%)
3
Under the Influence of Medications / Drugs / Alcohol65 (3.7%)
4
Fell Asleep; Fainted; Fatigued; etc.22 (1.3%)
5
Physical Impairment6 (0.3%)
6
Illness4 (0.2%)
7
Emotional (E.G.; Depressed; Angry; Disturbed)3 (0.2%)

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

Driver distraction was identified as a factor for 83 drivers, representing 4.8% of all drivers in crashes. The most cited issues were 'Other distraction inside the vehicle' with 37 instances and 'Other distraction outside the vehicle' with 21 instances. Manually operating an electronic communication device like a phone was noted for 5 drivers.

Driver Distraction

1
Not Distracted1,543 (89.2%)
2
Other/Unknown104 (6%)
3
Other distraction inside the vehicle37 (2.1%)
4
Other distraction outside the vehicle21 (1.2%)
5
Passenger9 (0.5%)
6
Other activity with an electronic device9 (0.5%)
7
Manually operating an electronic communication device (texting; typing; dialing)5 (0.3%)
8
Talking on hand-held communication device1 (0.1%)
9
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

While most crashes occurred on straight, level roads (952 incidents), a notable number happened on roads with more complex geometry. Crashes on curves accounted for 117 incidents, or 9.5% of the total. Roadways with a grade were the location for 209 crashes, representing 17.0% of all incidents.

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, with the city of Norwalk accounting for 372 crashes, or 30.2% of the county's total. The next most frequent locations were Willard with 106 crashes (8.6%) and the township of Greenfield with 68 crashes (5.5%). These three areas combined represent nearly 45% of all crashes in the county.

Top Cities

1
Norwalk372 (30.2%)
2
Willard106 (8.6%)
3
Greenfield68 (5.5%)
4
New Haven62 (5%)
5
Townsend51 (4.1%)
6
Clarksfield45 (3.7%)
7
Bronson44 (3.6%)
8
Greenwich42 (3.4%)
9
Lyme41 (3.3%)

Showing top 9 of 25 reported. 16 additional (401 total) not shown: New London, Ridgefield, Fitchville, Wakeman, Huron, Bellevue, Richmond, Hartland, Peru, Norwich, Fairfield, Ripley, Monroeville, Sherman, Plymouth, Milan.

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 vehicles was 'Straight Ahead,' which described the movement of 1,175 vehicles, or 64.7% of the total. The second most frequent action was 'Slowing or Stopped In Traffic,' with 180 vehicles (9.9%). Making a left turn was the action for 104 vehicles immediately prior to their crash.

Pre-Crash Driver Action

1
Straight Ahead1,175 (64.7%)
2
Slowing or Stopped In Traffic180 (9.9%)
3
Making Left Turn104 (5.7%)
4
Backing69 (3.8%)
5
Negotiating a Curve64 (3.5%)
6
Parked64 (3.5%)
7
Making Right Turn51 (2.8%)
8
Entering Traffic Lane30 (1.7%)
9
Overtaking/Passing25 (1.4%)

Showing top 9 of 17 reported. 8 additional (53 total) not shown: Leaving Traffic Lane, Other/Unknown, Changing Lanes, Walking; Running; Jogging; Playing, Other Non-Motorist, Standing Outside Disabled Vehicle, Driverless, Entering or Crossing Specified Location.

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

Manner of Collision

The most frequent type of crash was a single-vehicle incident, categorized as 'Not Collision Between Two Vehicles in Transport,' which accounted for 705 crashes or 57.2% of the total. Among multi-vehicle crashes, angle collisions were the most common, with 204 incidents (16.6%), followed by rear-end collisions with 172 incidents (14.0%).

Manner of Collision

"Other" combines 2 smaller categories (9 records): Other/Unknown (8), Rear-to-rear (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 common vehicle type involved in crashes, with 718 units, representing 39.6% of all vehicles. Sport Utility Vehicles (482) and Pick-up trucks (343) were also frequently involved, with these three types comprising 85% of all vehicles. Commercial vehicles, including semi-tractors, single-unit trucks, and buses, accounted for 98 vehicles, or 5.4% of the total.

Vehicle Type

"Other" combines 13 smaller categories (79 records): Unknown or Hit/Skip (20), Cargo Van (19), Pedestrian/Skater (9), Other Vehicle (8), Bus (16+ Passengers) (7), Bicycle (4), Farm Equipment (4), Van (9-15 Seats) (2), All Terrain Vehicle (ATV/UTV) (2), Moped or Motorized Bicycle (1), Heavy Equipment (1), Golf Cart (1), Motorhome (1).

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

Person Type

Of the 2,355 individuals involved in crashes, the vast majority were drivers, accounting for 1,741 people or 73.9% of the total. Passengers (occupants) made up another 605 individuals (25.7%). A small fraction, 9 individuals or 0.4%, were pedestrians.

Person Type

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

Person Injury Severity

Across all 2,355 people involved in crashes, 4 individuals sustained fatal injuries (0.17%). A total of 356 people, or 15.1%, suffered some level of injury, ranging from possible to serious. The majority of people involved, 1,987 individuals, were not injured.

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 vehicle occupants for whom safety equipment use was recorded, 191 individuals (8.1%) were reported as not using any restraints. The most common form of protection was a shoulder and lap belt, used by 1,853 people. An additional 111 individuals were secured using various child restraint systems.

Occupant Safety Equipment

"Other" combines 2 smaller categories (25 records): Helmet Used (14), Lap Belt Only Used (11).

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, accounting for 675 crashes, or 54.8% of the total. Crashes involving two vehicles were also frequent, with 531 incidents (43.1%). A smaller number of crashes, 26 in total, 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: ohio, OH
  • Total crash records analyzed: 1,232
  • Total persons involved: 2,355
  • Total vehicles involved: 1,815

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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Huron County, OH Crash Report — 2021 | ThatCarHitMe.com