Yearly Traffic Safety Analysis

966 CRASHES IN
FINDLAY, OH
2021

In 2021, Findlay, OH experienced 966 traffic crashes, resulting in 4 fatalities and 256 injuries. A notable finding is that 79.9% of these crashes, or 772 incidents, resulted in no reported injuries. This indicates a high proportion of property-damage-only collisions.

966

Total Crash Events

4

Persons Killed

256

Persons Injured

13.7%

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

132

Hit-and-Run Crashes — 2021

There were 132 hit-and-run crashes in Findlay, OH during 2021, accounting for 13.7% of all crashes. These incidents are identified based on the initial determination by the responding officer.

Vulnerable Road User Casualties

In 2021, all 4 traffic fatalities in Findlay, OH were motorists. There were no fatalities reported for pedestrians or cyclists. A total of 246 motorists were injured, along with 10 pedestrians and 0 cyclists.

0

Pedestrians Killed

4

Motorists Killed

10

Pedestrians Injured

246

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

Crashes in Findlay, OH showed distinct temporal patterns in 2021, with Friday being the peak day of the week, experiencing 186 crashes. The busiest hour for crashes was 3 PM, with 106 incidents recorded. The majority of crashes, 74.3% or 718 incidents, 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

Of the 966 crashes in 2021, 772 (79.9%) resulted in no injuries, while 194 crashes (20.1%) involved some level of injury. There were 4 fatal crashes recorded, which aligns with the 4 total fatalities reported for the year. It is important to note that a single fatal crash can involve multiple fatalities, though in this period, the numbers are equal.

Outcome by Severity (Crash Events)

Fatal4fatal crashes0.4%
Serious Injury11serious injury crashes1.1%
Minor Injury92minor injury crashes9.5%
Possible Injury87possible injury crashes9%
No Injury772no injury crashes79.9%

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

The majority of crashes in 2021 occurred under clear weather (604 crashes, 62.5%), on dry road surfaces (735 crashes, 76.1%), and during daylight hours (718 crashes, 74.3%). However, adverse conditions were also present in a significant number of incidents, with 104 crashes occurring in rain and 187 on wet roads. Additionally, 198 crashes occurred during dark conditions (157 on lighted roadways, 41 on unlighted roadways).

Weather

Clear604 (62.5%)
Cloudy211 (21.8%)
Rain104 (10.8%)
Snow33 (3.4%)
Other/Unknown7 (0.7%)
Severe Crosswinds3 (0.3%)
Fog; Smog; Smoke2 (0.2%)
Blowing Sand; Soil; Dirt; Snow1 (0.1%)
Sleet; Hail1 (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

Daylight718 (74.3%)
Dark - Lighted Roadway157 (16.3%)
Dark - Roadway Not Lighted41 (4.2%)
Dawn/Dusk40 (4.1%)
Other/Unknown8 (0.8%)
Dark - Unknown Roadway Lighting2 (0.2%)

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

Road Surface

Dry735 (76.1%)
Wet187 (19.4%)
Snow31 (3.2%)
Ice8 (0.8%)
Other/Unknown3 (0.3%)
Slush2 (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 persons involved in crashes, the age group 26-34 was most represented with 356 individuals, followed by 16-20 with 320 individuals. Passenger Cars were the most frequently involved vehicle type, accounting for 1048 of the 1805 vehicles. Ford and Chevrolet were the top two vehicle makes involved in crashes, with 277 and 272 instances respectively.

Top Vehicle Makes (1,805 vehicles)

1
FORD277 (15.3%)
2
CHEVROLET272 (15.1%)
3
HONDA163 (9%)
4
TOYOTA123 (6.8%)
5
KIA104 (5.8%)
6
DODGE103 (5.7%)
7
HYUNDAI72 (4%)
8
NISSAN71 (3.9%)
9
JEEP63 (3.5%)
10
GMC63 (3.5%)

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

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

Sex Distribution (2,193 persons with recorded sex)

Male1,119 (51.0%)
Female1,074 (49.0%)

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)

A substantial majority of crashes, 833 out of 966, occurred directly on the roadway. Crashes occurring off the main travel lanes, such as on the roadside, shoulder, or median, accounted for 105 incidents, representing 10.9% of all crashes. This indicates a notable proportion of run-off-road incidents.

Crash Location (First Harmful Event)

"Other" combines 3 smaller categories (5 records): On Gore (2), Off ramp (2), On ramp (1).

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

Driver Contributing Factor

The most frequently cited improper actions contributing to crashes were "Following too Close / ACDA" with 236 instances, "Failure to Yield" with 208 instances, and "Drove off Road" with 75 instances. Other significant factors included "Improper Lane Change" (64 instances) and "Other Improper Action" (61 instances). These factors represent specific driver behaviors documented in the crash reports.

Driver Contributing Factor

1
Following too Close / ACDA236 (25.5%)
2
Failure to Yield208 (22.5%)
3
Drove off Road75 (8.1%)
4
Improper Lane Change64 (6.9%)
5
Other Improper Action61 (6.6%)
6
Improper Backing61 (6.6%)
7
Ran Red Light46 (5%)
8
Improper Start From a Parked Position33 (3.6%)
9
Unsafe Speed28 (3%)

Showing top 9 of 22 reported. 13 additional (112 total) not shown: Left of Center, Ran Stop Sign, Improper Turn, Improper Passing, Swerving to Avoid, Operating Defective Equipment, Improper Crossing, Vision Obstruction, Wrong Way, Not Discernible, Stopped or Parked Illegally, Opening Door into Roadway, Load shifting/Falling/Spilling.

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 57 commercial vehicles were involved in crashes in 2021. This count included 39 Semi-Tractor Trailers and 18 Other Commercial Vehicles.

Vulnerable Road Users & Motorcycles

In 2021, 22 vulnerable road users, specifically pedestrians and bicyclists, were involved in crashes. This included 10 pedestrians and 12 bicyclists. An additional 9 motorcyclists were also involved in crashes.

Animal-Involved Crashes

A total of 24 animal-related incidents were reported in 2021. The majority of these involved deer, accounting for 19 incidents, while 5 incidents involved other types of animals.

Impairment (Alcohol / Drugs)

There were 32 impaired-driving crashes in Findlay, OH during 2021, representing 3.3% of all crashes. Of these, 21 involved alcohol, 9 involved drugs, and 2 involved both alcohol and drugs.

Driver Condition

Among drivers involved in crashes, 36 instances of abnormal conditions were reported. These included 18 drivers under the influence of medications/drugs/alcohol, 7 drivers experiencing illness, and 4 drivers who fell asleep, fainted, or were fatigued. An additional 4 drivers were noted as emotional, and 3 had physical impairments.

Driver Condition

1
Apparently Normal1,563 (97.2%)
2
Under the Influence of Medications / Drugs / Alcohol18 (1.1%)
3
Other/Unknown9 (0.6%)
4
Illness7 (0.4%)
5
Fell Asleep; Fainted; Fatigued; etc.4 (0.2%)
6
Emotional (E.G.; Depressed; Angry; Disturbed)4 (0.2%)
7
Physical Impairment3 (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 noted in 44 instances in 2021. The most common specific distractions included "Other distraction inside the vehicle" (19 instances) and "Other distraction outside the vehicle" (17 instances). Manually operating an electronic communication device was cited in 3 instances.

Driver Distraction

1
Not Distracted1,546 (96.1%)
2
Other distraction inside the vehicle19 (1.2%)
3
Other/Unknown18 (1.1%)
4
Other distraction outside the vehicle17 (1.1%)
5
Manually operating an electronic communication device (texting; typing; dialing)3 (0.2%)
6
Other activity with an electronic device2 (0.1%)
7
Passenger2 (0.1%)
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, 823 out of 966, occurred on straight, level roadways. Crashes on curved sections of road (Curve Level and Curve Grade) accounted for 77 incidents, or 7.9% of all crashes. Additionally, 99 crashes, or 10.2%, occurred on roadways with a grade (Straight Grade and Curve Grade).

Road Alignment

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 actions for vehicles were "Straight Ahead" (885 instances), "Slowing or Stopped In Traffic" (302 instances), and "Making Left Turn" (191 instances). These three actions collectively represent a significant portion of vehicle movements immediately preceding crashes.

Pre-Crash Driver Action

1
Straight Ahead885 (49%)
2
Slowing or Stopped In Traffic302 (16.7%)
3
Making Left Turn191 (10.6%)
4
Parked106 (5.9%)
5
Backing65 (3.6%)
6
Changing Lanes57 (3.2%)
7
Making Right Turn57 (3.2%)
8
Negotiating a Curve53 (2.9%)
9
Entering Traffic Lane34 (1.9%)

Showing top 9 of 15 reported. 6 additional (55 total) not shown: Other/Unknown, Other Non-Motorist, Leaving Traffic Lane, Overtaking/Passing, Walking; Running; Jogging; Playing, 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 manner of collision was "Not Collision Between Two Vehicles in Transport," accounting for 310 crashes or 32.1% of the total. Angle collisions were the second most common, with 272 incidents (28.2%), closely followed by rear-end collisions at 260 incidents (26.9%). These three types represent the dominant patterns of collisions.

Manner of Collision

"Other" combines 1 smaller categories (5 records): Other/Unknown (5).

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 prevalent vehicle type involved in crashes, with 1048 instances out of 1805 total vehicles. Sport Utility Vehicles (340) and Pickups (196) were also frequently involved. Commercial vehicles, including Semi-Tractors, Single Unit Trucks, Cargo Vans, and Buses, collectively accounted for 78 vehicles.

Vehicle Type

"Other" combines 10 smaller categories (62 records): Bicycle (12), Single Unit Truck (11), Pedestrian/Skater (10), Other Vehicle (9), Motorcycle 2 Wheeled (9), Heavy Equipment (4), Bus (16+ Passengers) (4), Farm Equipment (1), Van (9-15 Seats) (1), Motorcycle 3 Wheeled (1).

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

Person Type

Drivers constituted the largest group of persons involved in crashes, with 1689 individuals. Occupants accounted for 578 individuals, while pedestrians made up 10 individuals.

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 2195 persons whose injury severity was recorded, 4 individuals sustained fatal injuries, and 256 individuals sustained some level of injury (Serious, Minor, or Possible). This means 11.7% of persons with recorded injury severity were injured, and 0.18% were fatally 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 the 2267 persons with recorded safety equipment use, 1975 individuals used both shoulder and lap belts. A total of 72 individuals were reported as using no safety equipment, representing 3.2% of those with recorded use.

Occupant Safety Equipment

"Other" combines 2 smaller categories (14 records): Lap Belt Only Used (8), Helmet Used (6).

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 majority of crashes, 753 out of 966, involved two vehicles. Single-vehicle crashes accounted for 173 incidents, or 17.9% of all crashes. Crashes involving three or more vehicles were less common, with 40 such incidents reported.

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: Findlay, OH
  • Total crash records analyzed: 966
  • Total persons involved: 2,277
  • Total vehicles involved: 1,805

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). "Findlay, 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/findlay/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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