Yearly Traffic Safety Analysis

1,352 CRASHES IN
OHIO, OH
2021

In 2021, Seneca County recorded 1,352 traffic crashes, which resulted in 4 fatalities and 389 injuries. A notable finding from the data is that collisions with animals, primarily deer, accounted for 28.2% of all crashes. The majority of incidents (79%) did not result in any reported injuries.

1,352

Total Crash Events

4

Persons Killed

389

Persons Injured

7.2%

Hit-and-Run Rate

Note: "Persons Killed" (4) 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

97

Hit-and-Run Crashes — 2021

In 2021, 97 crashes in Seneca County were classified as hit-and-run incidents, accounting for 7.2% of all reported collisions. This classification is based on the initial determination made by the responding law enforcement officer at the scene of the crash.

Vulnerable Road User Casualties

In 2021, motorists accounted for all 4 fatalities and the vast majority of injuries (384) in Seneca County crashes. There were no cyclist fatalities or injuries reported. While no pedestrians were killed, 5 sustained injuries in traffic collisions.

0

Pedestrians Killed

4

Motorists Killed

5

Pedestrians Injured

384

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 Seneca County peaked on Fridays, with 245 incidents recorded in 2021. The most frequent time for crashes was the 3 p.m. hour, which saw 97 events. While more crashes occurred during daylight hours (731 incidents), a substantial number (600 incidents) took place in dark, dawn, or dusk 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 majority of crashes in Seneca County, 79% or 1,068 incidents, resulted in no reported injuries. Crashes involving injuries accounted for 20.7% of the total, with 33 classified as serious injury, 150 as minor injury, and 97 as possible injury. Four fatal crashes occurred during this period, resulting in four fatalities.

Outcome by Severity (Crash Events)

Fatal4fatal crashes0.3%
Serious Injury33serious injury crashes2.4%
Minor Injury150minor injury crashes11.1%
Possible Injury97possible injury crashes7.2%
No Injury1,068no injury crashes79%

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 majority of crashes in 2021 occurred in ideal driving conditions, with 80.4% on dry roads (1,087 crashes) and 63.8% in clear weather (862 crashes). Crashes were more evenly split by lighting, with 54.1% (731) happening in daylight. Adverse conditions were still a factor, with 191 crashes on wet roads and 108 during rain.

Weather

Clear862 (63.8%)
Cloudy299 (22.1%)
Rain108 (8.0%)
Snow48 (3.6%)
Fog; Smog; Smoke20 (1.5%)
Other/Unknown8 (0.6%)
Freezing Rain or Freezing Drizzle5 (0.4%)
Severe Crosswinds1 (0.1%)
Blowing Sand; Soil; Dirt; Snow1 (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

Daylight731 (54.1%)
Dark - Roadway Not Lighted394 (29.1%)
Dark - Lighted Roadway121 (8.9%)
Dawn/Dusk85 (6.3%)
Other/Unknown16 (1.2%)
Dark - Unknown Roadway Lighting5 (0.4%)

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

Road Surface

Dry1,087 (80.4%)
Wet191 (14.1%)
Snow48 (3.6%)
Ice19 (1.4%)
Other/Unknown4 (0.3%)
Slush2 (0.1%)
Sand; Mud; Dirt; Oil; Gravel1 (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 16-20 age group was most represented, with 389 individuals, followed by the 26-34 age group with 362. Among the 2,123 vehicles involved in these incidents, the most frequent makes were Ford, with 414 vehicles, and Chevrolet, with 370 vehicles. Dodge (150), Honda (124), and Jeep (109) were also commonly involved.

Top Vehicle Makes (2,123 vehicles)

1
FORD414 (19.5%)
2
CHEVROLET370 (17.4%)
3
DODGE150 (7.1%)
4
HONDA124 (5.8%)
5
JEEP109 (5.1%)
6
CHRYSLER88 (4.1%)
7
GMC84 (4%)
8
KIA79 (3.7%)
9
TOYOTA75 (3.5%)
10
HYUNDAI69 (3.3%)

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

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

Sex Distribution (2,486 persons with recorded sex)

Male1,385 (55.7%)
Female1,101 (44.3%)

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)

The vast majority of crashes, 1,171 incidents, had their first harmful event occur on the primary roadway. However, a notable number of run-off-road crashes were recorded, with 113 events originating on the roadside and 29 on the shoulder. These off-roadway incidents collectively represent 10.5% of all crashes.

Crash Location (First Harmful Event)

"Other" combines 1 smaller categories (2 records): Railway grade crossing (2).

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, reported per vehicle, shows that 71% (1,504 vehicles) were at locations with no traffic control device present. Signalized intersections were associated with 17.3% (367 vehicles) of crash-involved units, while locations with stop signs accounted for 10.5% (222 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 for drivers was 'Following too Close / ACDA,' noted in 196 instances. This was followed by 'Failure to Yield' with 188 citations and 'Drove off Road' with 136. 'Other Improper Action' was also a significant factor, recorded 117 times.

Driver Contributing Factor

1
Following too Close / ACDA196 (20.3%)
2
Failure to Yield188 (19.4%)
3
Drove off Road136 (14.1%)
4
Other Improper Action117 (12.1%)
5
Improper Backing56 (5.8%)
6
Ran Red Light41 (4.2%)
7
Improper Turn40 (4.1%)
8
Unsafe Speed34 (3.5%)
9
Improper Lane Change30 (3.1%)

Showing top 9 of 21 reported. 12 additional (129 total) not shown: Ran Stop Sign, Left of Center, Swerving to Avoid, Improper Passing, Not Discernible, Improper Start From a Parked Position, Vision Obstruction, Load shifting/Falling/Spilling, Operating Defective Equipment, Opening Door into Roadway, Wrong Way, Improper Crossing.

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 were a notable category, with 117 total involvements recorded in 2021. These were split between semi-tractor trailers, involved in 61 incidents, and other types of commercial vehicles, involved in 56 incidents. Overall, commercial vehicles were part of approximately 8.6% of all crashes in the county.

Vulnerable Road Users & Motorcycles

In 2021, there were 18 crashes involving vulnerable road users or motorcyclists. Motorcyclists were involved in 9 crashes, while bicyclists were involved in 5 and pedestrians in 4. Combined, crashes involving pedestrians and bicyclists, who are among the most vulnerable road users, totaled 9 incidents.

Animal-Involved Crashes

Collisions with animals accounted for a significant portion of crashes in Seneca County, totaling 381 incidents or 28.2% of all crashes in 2021. The vast majority of these, 370 crashes, involved deer. Encounters with other animals were documented in 11 crashes.

Impairment (Alcohol / Drugs)

Impairment was a factor in 85 crashes, representing 6.3% of the total for the year. Of these, alcohol was the sole impairing substance in 64 incidents, drugs were involved in 13, and a combination of alcohol and drugs was noted in 8 crashes. These figures represent a baseline, as impairment can be under-reported.

Driver Condition

Beyond impairment from alcohol or drugs, other driver conditions were noted in crash reports. Among 1,981 drivers, 70 were reported as being under the influence of medications, drugs, or alcohol. An additional 14 drivers were noted as having fallen asleep, fainted, or being fatigued, while 7 had a physical impairment.

Driver Condition

1
Apparently Normal1,783 (92.7%)
2
Under the Influence of Medications / Drugs / Alcohol70 (3.6%)
3
Other/Unknown40 (2.1%)
4
Fell Asleep; Fainted; Fatigued; etc.14 (0.7%)
5
Physical Impairment7 (0.4%)
6
Emotional (E.G.; Depressed; Angry; Disturbed)6 (0.3%)
7
Illness3 (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 93 drivers involved in crashes. The most common type was an unspecified distraction inside the vehicle, reported for 43 drivers, followed by distractions outside the vehicle for 24 drivers. Electronic devices were a factor for 20 drivers, including 7 who were manually operating a device.

Driver Distraction

1
Not Distracted1,746 (91.2%)
2
Other/Unknown75 (3.9%)
3
Other distraction inside the vehicle43 (2.2%)
4
Other distraction outside the vehicle24 (1.3%)
5
Other activity with an electronic device12 (0.6%)
6
Manually operating an electronic communication device (texting; typing; dialing)7 (0.4%)
7
Passenger6 (0.3%)
8
Talking on hand-held 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 majority of crashes (1,194) occurred on straight, level road segments. However, roadway geometry played a role in some incidents, with 9.4% of crashes (127) happening on a grade. Crashes on curves were less frequent, accounting for 3.3% of the total (44 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 across Seneca County was concentrated in a few key areas. The City of Tiffin saw the highest number of incidents, with 383 crashes, accounting for 28.3% of the county's total. Fostoria recorded the second-highest volume with 177 crashes (13.1%), followed by Clinton township with 114 crashes (8.4%).

Top Cities

1
Tiffin383 (28.3%)
2
Fostoria177 (13.1%)
3
Clinton114 (8.4%)
4
Hopewell110 (8.1%)
5
Eden67 (5%)
6
Loudon53 (3.9%)
7
Adams51 (3.8%)
8
Pleasant50 (3.7%)
9
Jackson47 (3.5%)

Showing top 9 of 23 reported. 14 additional (300 total) not shown: Seneca, Bloom, Liberty, Scipio, Venice, Thompson, Reed, Big Spring, Republic, Green Springs, Bloomville, Attica, Bascom, Bettsville.

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

Pre-Crash Driver Action

Analysis of pre-crash actions for the 2,123 vehicles involved shows that the majority, 64.4% (1,367 vehicles), were moving straight ahead. The second most common action was slowing or stopping in traffic, which accounted for 10.6% of vehicles (224). Making a left turn was the pre-crash action for 7.0% of vehicles (149).

Pre-Crash Driver Action

1
Straight Ahead1,367 (64.4%)
2
Slowing or Stopped In Traffic224 (10.6%)
3
Making Left Turn149 (7%)
4
Parked117 (5.5%)
5
Backing60 (2.8%)
6
Making Right Turn49 (2.3%)
7
Changing Lanes35 (1.6%)
8
Other/Unknown25 (1.2%)
9
Negotiating a Curve23 (1.1%)

Showing top 9 of 16 reported. 7 additional (74 total) not shown: Entering Traffic Lane, Overtaking/Passing, Leaving Traffic Lane, Driverless, Working, Making U-Turn, Walking; Running; Jogging; Playing.

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 type of crash was a single-vehicle incident, categorized as 'Not Collision Between Two Vehicles in Transport,' which accounted for 49.4% of all crashes (668 incidents). Among multi-vehicle collisions, angle crashes were the most frequent, with 284 incidents (21.0% of total). Rear-end collisions were the next most common type, representing 14.3% of crashes (193 incidents).

Manner of Collision

"Other" combines 1 smaller categories (19 records): Head-on (19).

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, accounting for 922 of the 2,123 vehicles (43.4%). Sport utility vehicles (529) and pick-up trucks (371) were also frequently involved. Commercial vehicles, including semi-tractors and single-unit trucks, constituted 5.7% of the vehicles in these incidents.

Vehicle Type

"Other" combines 11 smaller categories (60 records): Cargo Van (22), Motorcycle 2 Wheeled (9), Bicycle (5), Bus (16+ Passengers) (5), Pedestrian/Skater (5), Other Vehicle (3), Motorhome (3), Heavy Equipment (3), Farm Equipment (3), Train (1), Van (9-15 Seats) (1).

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

Person Type

A total of 2,570 persons were involved in crashes in 2021. The majority of these individuals were drivers, who accounted for 77.1% (1,981) of all persons involved. Vehicle occupants or passengers made up 22.7% (584) of the total, while pedestrians represented a small fraction at 0.2% (5 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

Of the 2,570 people involved in traffic crashes, a total of 393 individuals, or 15.3%, sustained some level of injury or were killed. This includes 4 fatalities, 44 serious injuries, 196 minor injuries, and 149 possible injuries. The vast majority of people involved, 82.6% (2,124 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

Safety equipment usage was documented for the 2,570 people involved in crashes. The overwhelming majority, 84.0% (2,160 individuals), were reported as using a shoulder and lap belt. However, 113 individuals, or 4.4% of the total, were recorded as using no safety equipment at all.

Occupant Safety Equipment

"Other" combines 3 smaller categories (9 records): Lap Belt Only Used (7), Lighting - Pedestrian / Bicycle Only (1), Helmet Used (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

Crashes in Seneca County were almost evenly split between single-vehicle and two-vehicle incidents. Two-vehicle collisions were slightly more common, accounting for 49.3% (667) of all crashes, while single-vehicle crashes made up 47.0% (635). Crashes involving three or more vehicles were less frequent, representing 3.7% of the total.

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: 1,352
  • Total persons involved: 2,570
  • Total vehicles involved: 2,123

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