Yearly Traffic Safety Analysis

619 CRASHES IN
OHIO, OH
2021

In 2021, Van Wert County recorded 619 traffic crashes, resulting in 2 fatalities and 206 injuries. A notable characteristic of these incidents is the high prevalence of collisions involving animals, which accounted for 141 crashes, or approximately 22.8% of the total. The data also indicates that single-vehicle crashes, including animal strikes and run-off-road incidents, represent a significant portion of the overall collisions.

619

Total Crash Events

2

Persons Killed

206

Persons Injured

12.8%

Hit-and-Run Rate

Note: "Persons Killed" (2) counts individual fatalities across all crash events. "Fatal" in the severity table below (2) 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

79

Hit-and-Run Crashes — 2021

According to initial officer reports, 79 crashes in 2021 were classified as hit-and-run incidents. This represents 12.8% of all crashes recorded in Van Wert County during this period.

Vulnerable Road User Casualties

In 2021, traffic crashes resulted in injuries to 199 motorists and one motorist fatality. Additionally, one pedestrian was killed and seven were injured. No fatalities or injuries were recorded for bicyclists during this period.

1

Pedestrians Killed

1

Motorists Killed

7

Pedestrians Injured

199

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 Van Wert County peaked on Fridays, which saw a total of 114 incidents. The single most common time for crashes was the 3 p.m. hour, with 49 events recorded. While 340 crashes (55.0%) occurred during daylight, a substantial number, 262 crashes (42.3%), took place during dawn, dusk, or in darkness.

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, 478 out of 619, resulted in no injuries, accounting for 77.2% of all incidents. Injury-involved crashes, including those with serious, minor, or possible injuries, totaled 139, or 22.5% of the total. Two fatal crashes were recorded, which resulted in two fatalities; it is important to note that the number of fatal crashes and fatalities can differ if a single crash involves multiple deaths.

Outcome by Severity (Crash Events)

Fatal2fatal crashes0.3%
Serious Injury16serious injury crashes2.6%
Minor Injury73minor injury crashes11.8%
Possible Injury50possible injury crashes8.1%
No Injury478no injury crashes77.2%

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 under favorable conditions, with 76.4% (473 incidents) happening on dry road surfaces. Similarly, 56.9% of crashes (352) took place in clear weather and 55.0% (340) occurred in daylight. Adverse conditions were also present in a number of incidents, including 93 crashes on wet roads and 49 during rain.

Weather

Clear352 (56.9%)
Cloudy167 (27.0%)
Rain49 (7.9%)
Snow24 (3.9%)
Other/Unknown14 (2.3%)
Fog; Smog; Smoke7 (1.1%)
Blowing Sand; Soil; Dirt; Snow2 (0.3%)
Sleet; Hail2 (0.3%)
Freezing Rain or Freezing Drizzle1 (0.2%)
Severe Crosswinds1 (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

Daylight340 (54.9%)
Dark - Roadway Not Lighted188 (30.4%)
Dark - Lighted Roadway44 (7.1%)
Dawn/Dusk30 (4.8%)
Other/Unknown12 (1.9%)
Dark - Unknown Roadway Lighting5 (0.8%)

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

Road Surface

Dry473 (76.4%)
Wet93 (15.0%)
Snow29 (4.7%)
Ice10 (1.6%)
Other/Unknown9 (1.5%)
Slush3 (0.5%)
Sand; Mud; Dirt; Oil; Gravel1 (0.2%)
Water (Standing; Moving)1 (0.2%)

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

Vehicles & Demographics

Among the 1,210 people involved in crashes, the 26-34 age group was the most represented, with 169 individuals. Of the 959 vehicles involved, Chevrolet was the most frequent make with 200 vehicles, followed by Ford with 130 and Dodge with 77.

Top Vehicle Makes (959 vehicles)

1
CHEVROLET200 (20.9%)
2
FORD130 (13.6%)
3
DODGE77 (8%)
4
CHRYSLER52 (5.4%)
5
HONDA48 (5%)
6
BUICK47 (4.9%)
7
JEEP34 (3.5%)
8
GMC31 (3.2%)
9
HYUNDAI30 (3.1%)
10
TOYOTA27 (2.8%)

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

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

Sex Distribution (1,168 persons with recorded sex)

Male681 (58.3%)
Female487 (41.7%)

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)

Analysis of the initial point of impact shows that 493 crashes, or 79.6% of the total, occurred on the primary roadway. A notable 119 incidents, representing 19.2% of all crashes, were classified as run-off-road events, with the first harmful event taking place on the roadside (63), shoulder (19), median (10), or outside the trafficway (27).

Crash Location (First Harmful Event)

"Other" combines 2 smaller categories (2 records): Other/Unknown (1), On Gore (1).

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

Traffic Control Device

Data on traffic controls at crash locations indicates that a majority of vehicle involvements occurred where no traffic control device was present, accounting for 725 units. Involvements at intersections with stop signs were recorded for 107 units, while 115 units were involved in crashes at signalized 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 contributing factors cited for drivers, driving off the road was the most common, listed for 92 vehicle involvements. This was followed by failure to yield, which was a factor in 81 involvements, and following too closely, cited in 76 instances. Unsafe speed was noted as a factor for 38 vehicle involvements.

Driver Contributing Factor

1
Drove off Road92 (19.9%)
2
Failure to Yield81 (17.5%)
3
Following too Close / ACDA76 (16.4%)
4
Unsafe Speed38 (8.2%)
5
Other Improper Action35 (7.6%)
6
Improper Backing31 (6.7%)
7
Improper Turn23 (5%)
8
Ran Stop Sign16 (3.5%)
9
Left of Center13 (2.8%)

Showing top 9 of 22 reported. 13 additional (58 total) not shown: Swerving to Avoid, Improper Passing, Improper Lane Change, Ran Red Light, Load shifting/Falling/Spilling, Operating Defective Equipment, Not Discernible, Improper Start From a Parked Position, Improper Crossing, Wrong Way, Lying in Roadway, Stopped or Parked Illegally, 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 78 commercial vehicles. Of these, 59 were identified as semi-tractor trailers and 19 were classified as other types of commercial vehicles.

Vulnerable Road Users & Motorcycles

A total of 13 crashes involved vulnerable road users or motorcyclists. These included 8 incidents with pedestrians, 3 with motorcyclists, and 2 with bicyclists. Combined, crashes involving pedestrians and bicyclists accounted for 10 of these events.

Animal-Involved Crashes

Collisions with animals were a significant factor in 2021, accounting for 141 crashes, or 22.8% of the total. The vast majority of these incidents, 131 crashes, involved deer. The remaining 10 crashes involved other, unspecified types of animals.

Impairment (Alcohol / Drugs)

Impairment was a factor in 32 crashes, representing 5.2% of all incidents in 2021. Alcohol was suspected in 20 of these crashes, drugs were suspected in 8, and a combination of alcohol and drugs was suspected in 4.

Driver Condition

Out of 893 drivers involved in crashes, 43 were noted as having a condition other than 'Apparently Normal'. The most cited condition was 'Under the Influence of Medications / Drugs / Alcohol', recorded for 27 drivers. An additional 8 drivers were reported as having fallen asleep, fainted, or being fatigued.

Driver Condition

1
Apparently Normal794 (89.5%)
2
Other/Unknown50 (5.6%)
3
Under the Influence of Medications / Drugs / Alcohol27 (3%)
4
Fell Asleep; Fainted; Fatigued; etc.8 (0.9%)
5
Emotional (E.G.; Depressed; Angry; Disturbed)4 (0.5%)
6
Illness2 (0.2%)
7
Physical Impairment2 (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

For the 893 drivers involved, a specific distraction was identified for 40 individuals. The most common citation was 'Other distraction inside the vehicle,' noted for 16 drivers, followed by 'Other distraction outside the vehicle' for 8 drivers. Six drivers were reportedly distracted by a passenger.

Driver Distraction

1
Not Distracted788 (89.2%)
2
Other/Unknown55 (6.2%)
3
Other distraction inside the vehicle16 (1.8%)
4
Other distraction outside the vehicle8 (0.9%)
5
Passenger6 (0.7%)
6
Other activity with an electronic device5 (0.6%)
7
Talking on hands-free communication device2 (0.2%)
8
Talking on hand-held communication device2 (0.2%)
9
Manually operating an electronic communication device (texting; typing; dialing)1 (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, 538 out of 619, occurred on straight and level sections of roadway. However, 50 crashes (8.1%) happened on curves, and 47 crashes (7.6%) occurred on grades, which can elevate crash risk.

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 Van Wert accounting for 218 incidents, or 35.2% of the county's total. The township of Pleasant saw the second-highest number with 68 crashes (11.0%), followed by the township of Ridge with 48 crashes (7.8%).

Top Cities

1
Van Wert218 (35.2%)
2
Pleasant68 (11%)
3
Ridge48 (7.8%)
4
Washington47 (7.6%)
5
Liberty41 (6.6%)
6
Tully36 (5.8%)
7
Union32 (5.2%)
8
Willshire30 (4.8%)
9
Hoaglin23 (3.7%)

Showing top 9 of 18 reported. 9 additional (76 total) not shown: Harrison, York, Delphos, Jennings, Jackson, Convoy, Middle Point, Scott, Ohio City.

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

Pre-Crash Driver Action

Examining the actions of the 959 vehicles prior to collision, the most common maneuver was driving straight ahead, which was reported for 562 vehicles (58.6%). The second most frequent pre-crash action was slowing or stopping in traffic, accounting for 120 vehicles (12.5%). Making a left turn was the third most common action, reported for 62 vehicles.

Pre-Crash Driver Action

1
Straight Ahead562 (58.6%)
2
Slowing or Stopped In Traffic120 (12.5%)
3
Making Left Turn62 (6.5%)
4
Parked58 (6%)
5
Backing36 (3.8%)
6
Making Right Turn28 (2.9%)
7
Negotiating a Curve27 (2.8%)
8
Entering Traffic Lane15 (1.6%)
9
Changing Lanes13 (1.4%)

Showing top 9 of 17 reported. 8 additional (38 total) not shown: Other/Unknown, Overtaking/Passing, Walking; Running; Jogging; Playing, Leaving Traffic Lane, Making U-Turn, Driverless, Standing, 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 crash type was 'Not Collision Between Two Vehicles in Transport,' which includes single-vehicle crashes like striking a fixed object or animal, accounting for 355 incidents (57.4%). Among multi-vehicle crashes, angle collisions were the most common, with 115 incidents (18.6%), followed by rear-end collisions with 80 incidents (12.9%).

Manner of Collision

"Other" combines 2 smaller categories (9 records): Head-on (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, accounting for 399 of the 959 total vehicles (41.6%). Sport utility vehicles were the second most common with 206 involvements. Commercial vehicles, including semi-tractors, single-unit trucks, and buses, were involved in 9.7% of incidents.

Vehicle Type

"Other" combines 12 smaller categories (48 records): Cargo Van (9), Pedestrian/Skater (8), Heavy Equipment (5), All Terrain Vehicle (ATV/UTV) (4), Farm Equipment (4), Van (9-15 Seats) (4), Motorcycle 2 Wheeled (3), Bus (16+ Passengers) (3), Other Vehicle (3), Moped or Motorized Bicycle (2), Bicycle (2), 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 1,210 individuals involved in crashes, the majority were drivers, accounting for 893 people (73.8%). Passengers (occupants) made up the next largest group with 309 individuals (25.5%). A small fraction, 8 people (0.7%), 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 1,210 people involved in crashes, 998 individuals (82.5%) sustained no injuries. A total of 206 people were injured, representing 17.0% of all persons involved. Two individuals sustained fatal injuries, accounting for 0.17% of the total.

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 1,115 occupants for whom safety equipment use was known, 999 were reported as using a shoulder and lap belt. Forty-two individuals, or 3.8% of this group, were recorded as using no safety restraint at the time of the crash. Child restraints, including forward-facing, rear-facing, and booster seats, were used by 48 occupants.

Occupant Safety Equipment

"Other" combines 2 smaller categories (11 records): Child Restraint System - Rear Facing (7), Helmet Used (4).

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 619 crashes were almost evenly split between single-vehicle and two-vehicle incidents. Single-vehicle crashes accounted for 299 events (48.3%), while two-vehicle crashes accounted for 304 events (49.1%). Crashes involving three or more vehicles were less common, representing 16 incidents or 2.6% 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: 619
  • Total persons involved: 1,210
  • Total vehicles involved: 959

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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Van Wert County, OH Crash Report — 2021 | ThatCarHitMe.com