Yearly Traffic Safety Analysis

3,250 CRASHES IN
OHIO, OH
2021

In 2021, Wood County recorded 3,250 traffic crashes, resulting in 13 fatalities and 994 injuries. These incidents occurred across 11 fatal crashes. A notable finding from the data is that single-vehicle crashes, classified as 'Not Collision Between Two Vehicles in Transport,' accounted for the largest portion of incidents at 40.6%.

3,250

Total Crash Events

13

Persons Killed

994

Persons Injured

10.3%

Hit-and-Run Rate

Note: "Persons Killed" (13) counts individual fatalities across all crash events. "Fatal" in the severity table below (11) 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

335

Hit-and-Run Crashes — 2021

During this period, 335 crashes were classified as hit-and-run incidents, representing 10.3% of all crashes in Wood County. This designation is based on the determination of the responding law enforcement officer at the scene of the collision.

Vulnerable Road User Casualties

Of the 1,007 people killed or injured in crashes, motorists comprised the vast majority, with 13 fatalities and 979 injuries. There were no cyclist fatalities or injuries reported. However, 15 pedestrians were injured in collisions, though none fatally.

0

Pedestrians Killed

13

Motorists Killed

15

Pedestrians Injured

979

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 analysis reveals distinct temporal patterns, with Friday being the most frequent day for crashes, recording 543 incidents. The single busiest hour was the 3 p.m. hour, with 280 crashes, indicating a peak during the afternoon commute. Overall, 2,019 crashes, or 62.1% of the total, occurred during daylight hours.

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, 78.4% (2,547 incidents), resulted in no injuries. Injury-related crashes, including serious, minor, and possible injuries, accounted for 21.3% of the total. The 3,250 crashes included 11 fatal incidents, which resulted in a total of 13 deaths.

Severity is per crash event (most severe injury). 11 fatal crash events resulted in 13 persons killed.

Outcome by Severity (Crash Events)

Fatal11fatal crashes0.3%
Serious Injury82serious injury crashes2.5%
Minor Injury348minor injury crashes10.7%
Possible Injury262possible injury crashes8.1%
No Injury2,547no injury crashes78.4%

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 on dry road surfaces accounted for 75.7% of the total (2,459 incidents), while 61.8% (2,007 incidents) happened in clear weather. Similarly, 62.1% of crashes (2,019) took place in daylight. Crashes in adverse conditions included 346 in rain and 595 on wet roads.

Weather

Clear2,007 (61.8%)
Cloudy710 (21.8%)
Rain346 (10.6%)
Snow132 (4.1%)
Other/Unknown26 (0.8%)
Fog; Smog; Smoke20 (0.6%)
Blowing Sand; Soil; Dirt; Snow4 (0.1%)
Freezing Rain or Freezing Drizzle2 (0.1%)
Sleet; Hail2 (0.1%)
Severe Crosswinds1 (0.0%)

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

Lighting

Daylight2,019 (62.1%)
Dark - Roadway Not Lighted603 (18.6%)
Dark - Lighted Roadway405 (12.5%)
Dawn/Dusk190 (5.8%)
Other/Unknown21 (0.6%)
Dark - Unknown Roadway Lighting12 (0.4%)

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

Road Surface

Dry2,459 (75.7%)
Wet595 (18.3%)
Snow146 (4.5%)
Ice29 (0.9%)
Other/Unknown15 (0.5%)
Sand; Mud; Dirt; Oil; Gravel3 (0.1%)
Slush3 (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 7,094 people involved in crashes, the 16-20 age group was the most represented with 1,066 individuals, closely followed by the 26-34 age group with 1,063 individuals. An analysis of the 5,464 vehicles involved shows that Ford was the most frequent make with 894 vehicles, followed by Chevrolet with 841 and Honda with 414.

Top Vehicle Makes (5,464 vehicles)

1
FORD894 (16.4%)
2
CHEVROLET841 (15.4%)
3
HONDA414 (7.6%)
4
DODGE382 (7%)
5
TOYOTA310 (5.7%)
6
JEEP280 (5.1%)
7
KIA188 (3.4%)
8
GMC184 (3.4%)
9
CHRYSLER183 (3.3%)
10
HYUNDAI164 (3%)

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

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

Sex Distribution (6,816 persons with recorded sex)

Male3,769 (55.3%)
Female3,047 (44.7%)

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)

The initial point of impact for most crashes was on the primary roadway, accounting for 2,587 incidents. A notable portion of crashes were run-off-road events, with 187 occurring on the roadside, 174 on the shoulder, and 44 in the median. Combined, these off-roadway locations represent the first harmful event in 12.5% of all crashes.

Crash Location (First Harmful Event)

"Other" combines 5 smaller categories (31 records): Toll Booth (14), Other/Unknown (7), On Gore (6), Driveway/Alley access (3), Crossover (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 5,440 vehicles with traffic control data shows that a majority were involved in crashes at locations with no traffic controls present, accounting for 3,546 vehicles (65.2%). Crashes at signalized intersections involved 1,240 vehicles (22.8%), while those at stop signs involved 514 vehicles (9.4%).

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 actions contributing to crashes, 'Following too Close / ACDA' was the most cited factor, attributed to 724 drivers. 'Failure to Yield' was the second most common factor with 510 instances, followed by 'Drove off Road' with 364 instances. These top three factors represent a significant portion of identified driver errors.

Driver Contributing Factor

1
Following too Close / ACDA724 (25.8%)
2
Failure to Yield510 (18.2%)
3
Drove off Road364 (13%)
4
Other Improper Action213 (7.6%)
5
Improper Lane Change209 (7.4%)
6
Unsafe Speed128 (4.6%)
7
Not Discernible115 (4.1%)
8
Improper Backing108 (3.8%)
9
Improper Turn96 (3.4%)

Showing top 9 of 22 reported. 13 additional (339 total) not shown: Swerving to Avoid, Left of Center, Improper Passing, Ran Stop Sign, Ran Red Light, Operating Defective Equipment, Improper Start From a Parked Position, Load shifting/Falling/Spilling, Improper Crossing, Wrong Way, Vision Obstruction, Stopped or Parked Illegally, Lying in Roadway.

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

Commercial / Truck Involvement

A total of 379 commercial trucks were involved in crashes during this period. Of these, 297 were identified as semi-tractor-trailers, while the remaining 82 were classified as other types of commercial vehicles.

Vulnerable Road Users & Motorcycles

In 2021, there were 41 crashes involving motorcyclists. In addition, there were 23 crashes involving vulnerable road users, which included 14 crashes with pedestrians and 9 with bicyclists.

Animal-Involved Crashes

Crashes involving animals accounted for 387 incidents, representing 11.9% of all crashes in the county. The vast majority of these, 366 crashes, involved collisions with deer. The remaining 21 incidents involved other, unspecified animals.

Impairment (Alcohol / Drugs)

Impairment was a factor in 146 crashes, or 4.5% of the total. Alcohol was the sole factor in 116 of these incidents, while drugs were a factor in 21 cases and a combination of alcohol and drugs was noted in 9 cases.

Driver Condition

Among the 5,276 drivers involved in crashes, a small but significant number were noted to have a condition other than 'Apparently Normal'. This includes 111 drivers who were under the influence of medications, drugs, or alcohol, and 36 drivers who reportedly fell asleep, fainted, or were fatigued. An additional 17 drivers had a physical impairment and 13 were noted as ill.

Driver Condition

1
Apparently Normal4,781 (91.9%)
2
Other/Unknown233 (4.5%)
3
Under the Influence of Medications / Drugs / Alcohol111 (2.1%)
4
Fell Asleep; Fainted; Fatigued; etc.36 (0.7%)
5
Physical Impairment17 (0.3%)
6
Illness13 (0.2%)
7
Emotional (E.G.; Depressed; Angry; Disturbed)12 (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

Out of 5,276 drivers, 220 were identified as being distracted at the time of their crash. The most common sources of distraction were 'other distraction inside the vehicle' (92 drivers) and 'other distraction outside the vehicle' (60 drivers). Electronic device use was also noted, with 21 drivers manually operating a device and 26 engaged in another activity with an electronic device.

Driver Distraction

1
Not Distracted4,685 (90.8%)
2
Other/Unknown255 (4.9%)
3
Other distraction inside the vehicle92 (1.8%)
4
Other distraction outside the vehicle60 (1.2%)
5
Other activity with an electronic device26 (0.5%)
6
Manually operating an electronic communication device (texting; typing; dialing)21 (0.4%)
7
Passenger11 (0.2%)
8
Talking on hand-held communication device9 (0.2%)
9
Talking on hands-free communication device1

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 2,640 crashes, representing the majority of incidents. However, a notable number occurred on non-level or curved roads, with 12.3% of crashes (401) happening on a grade and 11.5% (374) occurring on a curve.

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 highly concentrated, with the top three municipalities accounting for over half of all incidents. Perrysburg had the highest number with 904 crashes, followed by Bowling Green with 539 and Rossford with 282. Together, these three locations represent 53.1% of the county's total crashes.

Top Cities

1
Perrysburg904 (27.8%)
2
Bowling Green539 (16.6%)
3
Rossford282 (8.7%)
4
Northwood230 (7.1%)
5
Lake193 (5.9%)
6
Center129 (4%)
7
Middleton126 (3.9%)
8
Troy108 (3.3%)
9
Portage100 (3.1%)

Showing top 9 of 40 reported. 31 additional (639 total) not shown: Henry, Plain, Freedom, Bloom, Montgomery, Washington, Weston, North Baltimore, Webster, Liberty, Perry, Grand Rapids, Milton, Jackson, Fostoria, Haskins, Pemberville, Wood, Walbridge, Bloomdale, Wayne, Millbury, Luckey, Jerry City, Hoytville, Custar, Cygnet, Bradner, West Millgrove, Tontogany, Stony Ridge.

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 what the 5,464 vehicles were doing just before impact shows that most were 'Straight Ahead' (3,066 vehicles, or 56.1%). The second most common pre-crash action was 'Slowing or Stopped In Traffic,' which was reported for 824 vehicles (15.1%). Making a left turn was the third most frequent action, noted for 433 vehicles.

Pre-Crash Driver Action

1
Straight Ahead3,066 (56.1%)
2
Slowing or Stopped In Traffic824 (15.1%)
3
Making Left Turn433 (7.9%)
4
Negotiating a Curve207 (3.8%)
5
Changing Lanes192 (3.5%)
6
Parked167 (3.1%)
7
Making Right Turn162 (3%)
8
Backing133 (2.4%)
9
Entering Traffic Lane80 (1.5%)

Showing top 9 of 19 reported. 10 additional (200 total) not shown: Other/Unknown, Overtaking/Passing, Leaving Traffic Lane, Making U-Turn, Walking; Running; Jogging; Playing, Driverless, Other Non-Motorist, Entering or Crossing Specified Location, Standing, Standing Outside Disabled Vehicle.

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, classified as 'Not Collision Between Two Vehicles in Transport,' which accounted for 1,318 crashes (40.6%). Among multi-vehicle crashes, rear-end collisions were the most frequent, with 756 incidents, representing 23.3% of all crashes.

Manner of Collision

"Other" combines 2 smaller categories (26 records): Head-on (23), Rear-to-rear (3).

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

Vehicle Type

Of the 5,464 vehicles involved in crashes, passenger cars were the most common type, accounting for 2,416 vehicles (44.2%). Sport Utility Vehicles (SUVs) were the second most frequent with 1,408 vehicles, followed by pickup trucks with 693. Commercial vehicles, including semi-tractors and single-unit trucks, were involved in 7.5% of collisions.

Vehicle Type

"Other" combines 16 smaller categories (213 records): Cargo Van (64), Motorcycle 2 Wheeled (40), Van (9-15 Seats) (25), Heavy Equipment (16), Pedestrian/Skater (15), Other Vehicle (14), Bus (16+ Passengers) (10), Bicycle (9), Motorhome (6), Farm Equipment (3), All Terrain Vehicle (ATV/UTV) (3), Golf Cart (2), Moped or Motorized Bicycle (2), Motorcycle 3 Wheeled (2), Limo (Livery Vehicle) (1), Train (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 7,094 people were involved in crashes, with drivers being the largest group at 5,276 individuals (74.4%). Passengers (occupants) accounted for another 1,803 people (25.4%). A small fraction of those involved were pedestrians, with 15 individuals recorded.

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 the 7,094 individuals involved in crashes, 1,007 people (14.2%) sustained an injury or were killed. This includes 13 fatalities, 106 serious injuries, 481 minor injuries, and 407 possible injuries. The vast majority, 5,976 people, 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 recorded for 6,395 vehicle occupants. While the majority (5,665) used a shoulder and lap belt, 298 individuals were recorded as using no safety equipment at all. This group represents 4.7% of occupants for whom restraint use was known.

Occupant Safety Equipment

"Other" combines 2 smaller categories (68 records): Lap Belt Only Used (41), Helmet Used (27).

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 that two-vehicle collisions were the most common scenario, accounting for 1,928 crashes (59.3%). Single-vehicle crashes were the next most frequent type, with 1,189 incidents, making up 36.6% of the total. Crashes involving three or more vehicles were less common, with 133 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 6, 2026

Data Coverage

  • Reporting period: 2021-01-01 through 2021-12-31 (365 days)
  • Geographic scope: ohio, OH
  • Total crash records analyzed: 3,250
  • Total persons involved: 7,094
  • Total vehicles involved: 5,464

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