Yearly Traffic Safety Analysis

1,238 CRASHES IN
OHIO, OH
2021

In 2021, Williams County recorded 1,238 traffic crashes, resulting in 8 fatalities and 388 injuries. These incidents involved 1,793 vehicles and 2,341 people. A particularly notable finding from the data is the high frequency of animal-related collisions, with 421 crashes involving deer, accounting for 34% of all incidents in the county.

1,238

Total Crash Events

8

Persons Killed

388

Persons Injured

8.2%

Hit-and-Run Rate

Note: "Persons Killed" (8) counts individual fatalities across all crash events. "Fatal" in the severity table below (7) 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

101

Hit-and-Run Crashes — 2021

During this period, 101 crashes were classified as hit-and-run incidents, constituting 8.2% of all crashes in Williams County. This determination is based on the initial report filed by the responding law enforcement officer at the scene. These incidents represent cases where a driver involved in the collision left the scene without providing required information.

Vulnerable Road User Casualties

In 2021, motorists accounted for the vast majority of persons killed or seriously injured, with 7 fatalities and 384 injuries. One pedestrian was killed and four were injured in five separate incidents. No bicyclists were killed or injured during this period.

1

Pedestrians Killed

7

Motorists Killed

4

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 patterns in Williams County show a peak on Fridays, with 217 incidents, followed by Wednesdays (204) and Thursdays (196). The single hour with the most crashes was 6 a.m., which saw 93 incidents. Crashes were distributed throughout the day, with 601 occurring in daylight and 630 taking 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 vast majority of crashes, 79.2% (980 incidents), resulted in no injuries. Injury-related crashes accounted for 20.3% of the total, including 25 serious injury crashes, 172 minor injury crashes, and 54 with possible injuries. There were 7 distinct fatal crashes, which resulted in a total of 8 fatalities, indicating at least one crash involved multiple deaths.

Severity is per crash event (most severe injury). 7 fatal crash events resulted in 8 persons killed.

Outcome by Severity (Crash Events)

Fatal7fatal crashes0.6%
Serious Injury25serious injury crashes2%
Minor Injury172minor injury crashes13.9%
Possible Injury54possible injury crashes4.4%
No Injury980no injury crashes79.2%

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 in favorable conditions. Specifically, 957 crashes (77.3%) happened on dry road surfaces and 725 (58.6%) in clear weather. Crashes in adverse weather included 114 in rain and 55 in snow. Similarly, 205 crashes occurred on wet roads and 61 on snow-covered surfaces.

Weather

Clear725 (58.6%)
Cloudy297 (24.0%)
Rain114 (9.2%)
Snow55 (4.4%)
Fog; Smog; Smoke39 (3.2%)
Other/Unknown3 (0.2%)
Freezing Rain or Freezing Drizzle2 (0.2%)
Sleet; Hail2 (0.2%)
Severe Crosswinds1 (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

Daylight601 (48.5%)
Dark - Roadway Not Lighted431 (34.8%)
Dawn/Dusk120 (9.7%)
Dark - Lighted Roadway79 (6.4%)
Other/Unknown4 (0.3%)
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

Dry957 (77.3%)
Wet205 (16.6%)
Snow61 (4.9%)
Ice12 (1.0%)
Water (Standing; Moving)3 (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 2,341 people involved in crashes, the 26-34 age group was the most represented, with 374 individuals, followed by the 45-54 age group (336). An analysis of the 1,793 vehicles involved shows that Chevrolet (328), Ford (311), and Freightliner (130) were the most frequent makes recorded in crash reports. Dodge (129) and Jeep (77) were also commonly involved.

Top Vehicle Makes (1,793 vehicles)

1
CHEVROLET328 (18.3%)
2
FORD311 (17.3%)
3
FREIGHTLINER130 (7.3%)
4
DODGE129 (7.2%)
5
JEEP77 (4.3%)
6
GMC75 (4.2%)
7
BUICK59 (3.3%)
8
TOYOTA58 (3.2%)
9
HONDA57 (3.2%)
10
KENWORTH47 (2.6%)

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

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

Sex Distribution (2,284 persons with recorded sex)

Male1,393 (61.0%)
Female891 (39.0%)

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 point of impact for most crashes was on the primary roadway, accounting for 958 incidents. However, a notable number of crashes involved vehicles leaving the travel lanes. A combined 203 crashes, or 16.4% of the total, first occurred on the roadside (147), shoulder (46), or in the median (10), indicating a significant pattern of run-off-road events.

Crash Location (First Harmful Event)

"Other" combines 3 smaller categories (9 records): On ramp (4), Off ramp (4), Other/Unknown (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 the 1,793 vehicles in crashes shows that the majority were at locations with no traffic controls present, accounting for 1,437 vehicles. Locations with traffic signals were the site of crashes for 178 vehicles, while 157 vehicles were in crashes at intersections controlled by a stop sign. A small number of incidents occurred at locations with flashers (12), yield signs (5), or roundabouts (3).

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 actions cited as contributing factors, 'Following too Close / ACDA' was the most common, noted for 167 vehicles. This was followed by 'Drove off Road' for 143 vehicles and 'Failure to Yield' for 115 vehicles. Other significant factors included 'Unsafe Speed' (61 vehicles) and 'Improper Backing' (55 vehicles).

Driver Contributing Factor

1
Following too Close / ACDA167 (21%)
2
Drove off Road143 (18%)
3
Failure to Yield115 (14.5%)
4
Unsafe Speed61 (7.7%)
5
Improper Backing55 (6.9%)
6
Improper Lane Change36 (4.5%)
7
Other Improper Action34 (4.3%)
8
Swerving to Avoid28 (3.5%)
9
Not Discernible24 (3%)

Showing top 9 of 19 reported. 10 additional (132 total) not shown: Improper Turn, Left of Center, Ran Stop Sign, Ran Red Light, Operating Defective Equipment, Improper Passing, Load shifting/Falling/Spilling, Stopped or Parked Illegally, Improper Start From a Parked Position, Wrong Way.

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 component of the total, with 248 such vehicles recorded. Of these, the majority (226) were semi-tractor trailers. The remaining 22 were classified as other types of commercial vehicles.

Vulnerable Road Users & Motorcycles

A total of 22 crashes involved motorcyclists or vulnerable road users. Motorcyclists were involved in 16 of these incidents. The remaining crashes involved pedestrians (5) and a bicyclist (1), for a combined total of 6 incidents involving vulnerable road users.

Animal-Involved Crashes

Collisions with animals were a major factor in Williams County crashes, with 436 such incidents reported. The vast majority of these, 421 crashes, specifically involved deer. These animal-related crashes represent 35.2% of all crashes in the county for the year.

Impairment (Alcohol / Drugs)

Impairment was a factor in 46 crashes, representing 3.7% of all incidents. Alcohol was suspected in 29 of these cases, drugs were suspected in 10 cases, and a combination of alcohol and drugs was noted in 7 cases. These figures represent a minimum, as impairment may not always be determined at the scene.

Driver Condition

Beyond impairment, other driver conditions were noted in a minority of cases. At least 38 drivers were believed to be under the influence of medications, drugs, or alcohol. An additional 23 drivers were reported to have fallen asleep, fainted, or been fatigued, while illness was cited for 5 drivers.

Driver Condition

1
Apparently Normal1,565 (92.5%)
2
Other/Unknown59 (3.5%)
3
Under the Influence of Medications / Drugs / Alcohol38 (2.2%)
4
Fell Asleep; Fainted; Fatigued; etc.23 (1.4%)
5
Illness5 (0.3%)
6
Physical Impairment2 (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 1,719 drivers involved in crashes, a specific distraction was identified for a small subset. The most cited distractions included 'Other distraction outside the vehicle' (18 drivers), 'Other distraction inside the vehicle' (16 drivers), and distraction by a 'Passenger' (9 drivers). Use of an electronic device was noted for 15 drivers.

Driver Distraction

1
Not Distracted1,572 (93.9%)
2
Other/Unknown45 (2.7%)
3
Other distraction outside the vehicle18 (1.1%)
4
Other distraction inside the vehicle16 (1%)
5
Passenger9 (0.5%)
6
Other activity with an electronic device7 (0.4%)
7
Manually operating an electronic communication device (texting; typing; dialing)5 (0.3%)
8
Talking on hands-free communication device2 (0.1%)
9
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, 1,005 incidents, occurred on straight and level sections of roadway. However, road geometry played a role in a portion of crashes, with 185 incidents taking place on a grade and 63 occurring on a curve. Fifteen of these crashes happened on sections that were both curved and graded.

Road Alignment

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

Top Cities

The 1,238 crashes in Williams County were distributed across its various townships and municipalities. The highest concentrations were in Northwest Township (153 crashes), the city of Bryan (128 crashes), and both Jefferson and Pulaski townships (126 crashes each). Center Township followed with 112 reported crashes.

Top Cities

1
Northwest153 (12.4%)
2
Bryan128 (10.3%)
3
Jefferson126 (10.2%)
4
Pulaski126 (10.2%)
5
Center112 (9%)
6
Brady111 (9%)
7
Superior104 (8.4%)
8
Bridgewater78 (6.3%)
9
Springfield71 (5.7%)

Showing top 9 of 22 reported. 13 additional (229 total) not shown: Madison, St. Joseph, Florence, Montpelier, West Unity, Edgerton, Mill Creek, Pioneer, Holiday City, Kunkle, Stryker, Edon, Alvordton.

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

Pre-Crash Driver Action

An analysis of the actions of the 1,793 vehicles prior to impact shows that the majority were performing normal driving maneuvers. Most vehicles, 1,181 in total, were proceeding straight ahead. The next most common pre-crash action was slowing or stopping in traffic, which was reported for 215 vehicles.

Pre-Crash Driver Action

1
Straight Ahead1,181 (65.9%)
2
Slowing or Stopped In Traffic215 (12%)
3
Making Left Turn87 (4.9%)
4
Parked66 (3.7%)
5
Backing65 (3.6%)
6
Negotiating a Curve39 (2.2%)
7
Changing Lanes38 (2.1%)
8
Making Right Turn32 (1.8%)
9
Entering Traffic Lane17 (0.9%)

Showing top 9 of 16 reported. 7 additional (53 total) not shown: Leaving Traffic Lane, Other/Unknown, Overtaking/Passing, Driverless, Walking; Running; Jogging; Playing, Making U-Turn, Standing.

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 were the most common type of incident, categorized as 'Not Collision Between Two Vehicles in Transport' and accounting for 774 crashes, or 62.5% of the total. Among multi-vehicle crashes, angle collisions were most frequent with 155 incidents (12.5%), followed closely by rear-end collisions with 153 incidents (12.4%).

Manner of Collision

"Other" combines 2 smaller categories (10 records): Head-on (8), Rear-to-rear (2).

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 575 units recorded. Sport Utility Vehicles (403) and Pick-ups (326) were also frequently involved. Notably, 307 Semi-Tractors were involved in crashes, highlighting a significant presence of commercial truck traffic in county incidents.

Vehicle Type

"Other" combines 11 smaller categories (58 records): Cargo Van (17), Motorcycle 2 Wheeled (16), Van (9-15 Seats) (7), Pedestrian/Skater (5), Farm Equipment (3), Other Vehicle (3), Heavy Equipment (2), Motorhome (2), Motorcycle 3 Wheeled (1), Bus (16+ Passengers) (1), Bicycle (1).

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

Person Type

Of the 2,341 people involved in crashes, the majority were drivers, accounting for 1,719 individuals. An additional 616 people were vehicle occupants or passengers. A small but significant number, 6 individuals, were pedestrians involved in collisions.

Person Type

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

Person Injury Severity

Out of 2,341 people involved in crashes, 396 sustained some level of injury or were killed. This includes 8 fatalities, 34 serious injuries, 244 minor injuries, and 110 possible injuries. The vast majority of individuals, 1,910 people, were not injured in their respective incidents.

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, 1,917 were using both a shoulder and lap belt. However, 120 individuals were reported as using no safety restraints at all. Additionally, 81 children were secured in various child restraint systems.

Occupant Safety Equipment

"Other" combines 2 smaller categories (22 records): Lap Belt Only Used (11), Helmet 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

The data shows a predominance of single-vehicle crashes, with 737 such incidents, making up 59.5% of the total. Two-vehicle collisions were the next most common, with 457 incidents. Multi-vehicle pile-ups were rare, with only 35 crashes involving three vehicles and 8 involving four 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 6, 2026

Data Coverage

  • Reporting period: 2021-01-01 through 2021-12-31 (365 days)
  • Geographic scope: ohio, OH
  • Total crash records analyzed: 1,238
  • Total persons involved: 2,341
  • Total vehicles involved: 1,793

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 6, 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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Williams County, OH Crash Report — 2021 | ThatCarHitMe.com