Yearly Traffic Safety Analysis

202 CRASHES IN
BUCYRUS, OH
2021

In 2021, Bucyrus, OH recorded a total of 202 crashes, resulting in 0 fatalities and 70 injuries. The most frequent collision type was angle collisions, accounting for 65 crashes or 32.2% of the total. A significant portion of crashes, 74.8%, resulted in no injuries, while 2.5% were serious injury crashes.

202

Total Crash Events

0

Persons Killed

70

Persons Injured

11.4%

Hit-and-Run Rate

Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (0) 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

23

Hit-and-Run Crashes — 2021

There were 23 hit-and-run crashes in Bucyrus, OH during 2021, representing 11.4% of all crashes. This indicates that over one in ten crashes involved a driver leaving the scene. Hit-and-run status is based on the responding officer's initial determination.

Vulnerable Road User Casualties

In 2021, Bucyrus, OH reported 0 pedestrian fatalities, 0 cyclist fatalities, and 0 motorist fatalities. The highest number of injured persons were motorists, with 69 reported injuries. Additionally, 1 pedestrian sustained injuries, while no cyclists were injured.

0

Pedestrians Killed

0

Motorists Killed

1

Pedestrians Injured

69

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 Bucyrus, OH most frequently occurred on Mondays, with 35 incidents reported. The peak hour for crashes was 3 PM, accounting for 23 incidents. The majority of crashes, 139, happened during daylight hours, while 47 occurred in dark 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

Out of 202 crashes, 151 (74.8%) resulted in no injuries, while 51 crashes involved some level of injury. Specifically, 5 crashes (2.5%) were classified as serious injury crashes. There were 0 fatal crashes and 0 total fatalities reported in 2021.

Outcome by Severity (Crash Events)

Serious Injury5serious injury crashes2.5%
Minor Injury22minor injury crashes10.9%
Possible Injury24possible injury crashes11.9%
No Injury151no injury crashes74.8%

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 occurred under clear weather conditions (137 incidents), on dry road surfaces (151 incidents), and during daylight (139 incidents). Conversely, 20 crashes happened during rain, 11 during snow, 35 on wet roads, and 5 on icy roads. A total of 47 crashes occurred in dark conditions, either on lighted or unlighted roadways.

Weather

Clear137 (67.8%)
Cloudy31 (15.3%)
Rain20 (9.9%)
Snow11 (5.4%)
Other/Unknown2 (1.0%)
Fog; Smog; Smoke1 (0.5%)

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

Lighting

Daylight139 (68.8%)
Dark - Lighted Roadway29 (14.4%)
Dark - Roadway Not Lighted18 (8.9%)
Dawn/Dusk13 (6.4%)
Other/Unknown3 (1.5%)

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

Road Surface

Dry151 (74.8%)
Wet35 (17.3%)
Snow7 (3.5%)
Ice5 (2.5%)
Other/Unknown2 (1.0%)
Sand; Mud; Dirt; Oil; Gravel1 (0.5%)
Water (Standing; Moving)1 (0.5%)

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

Vehicles & Demographics

Among all persons involved in crashes, the 0-15 age group was most represented with 65 individuals, followed by the 16-20 and 26-34 age groups, each with 59 individuals. Chevrolet vehicles were most frequently involved in crashes, with 77 instances, followed by Ford with 63 instances. Honda vehicles were involved in 23 incidents.

Top Vehicle Makes (361 vehicles)

1
CHEVROLET77 (21.3%)
2
FORD63 (17.5%)
3
HONDA23 (6.4%)
4
TOYOTA22 (6.1%)
5
DODGE19 (5.3%)
6
JEEP16 (4.4%)
7
KIA13 (3.6%)
8
HYUNDAI12 (3.3%)
9
BUICK12 (3.3%)
10
GMC12 (3.3%)

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

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

Sex Distribution (401 persons with recorded sex)

Male211 (52.6%)
Female190 (47.4%)

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, 182, occurred on the roadway itself. A smaller portion of crashes, 13 incidents or 6.4% of the total, occurred off the main travel lanes, specifically on the roadside (10) or on the shoulder (3). This indicates a minor but present signal for run-off-road incidents.

Crash Location (First Harmful Event)

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

Traffic Control Device

At locations where crash incidents occurred, 'No Control' was the most dominant traffic control type, associated with 219 incidents. Locations with traffic signals accounted for 77 incidents. This suggests that incidents were more frequent at uncontrolled locations compared to signalized intersections.

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 frequent contributing factors were 'Failure to Yield' (37 incidents) and 'Following too Close / ACDA' (36 incidents). 'Other Improper Action' was also a notable factor, contributing to 32 incidents. These three factors collectively account for 105 reported contributing factors.

Driver Contributing Factor

1
Failure to Yield37 (20.3%)
2
Following too Close / ACDA36 (19.8%)
3
Other Improper Action32 (17.6%)
4
Improper Backing15 (8.2%)
5
Drove off Road11 (6%)
6
Improper Turn11 (6%)
7
Ran Stop Sign8 (4.4%)
8
Ran Red Light7 (3.8%)
9
Left of Center5 (2.7%)

Showing top 9 of 16 reported. 7 additional (20 total) not shown: Unsafe Speed, Swerving to Avoid, Improper Passing, Vision Obstruction, Not Discernible, Improper Start From a Parked Position, Improper Lane Change.

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 vehicles accounted for 10 incidents, representing 4.95% of all crashes. Of these, 8 involved Semi-Tractor Trailers, and 2 involved other commercial vehicles. This highlights the presence of commercial vehicle involvement in a small but significant portion of local incidents.

Animal-Involved Crashes

Animal-strike crashes accounted for 13 incidents, representing 6.4% of all crashes. The majority of these, 12 incidents, involved deer. One incident involved another type of animal.

Impairment (Alcohol / Drugs)

Impairment was a factor in 10 crashes, representing 4.95% of all crashes. Alcohol impairment was cited in 7 incidents, while drug impairment was noted in 3 incidents. These figures represent a baseline for impairment-related incidents.

Driver Condition

Beyond apparently normal conditions, abnormal driver conditions were noted in 15 incidents. 'Under the Influence of Medications / Drugs / Alcohol' was reported for 8 drivers. Additionally, 3 drivers were reported as 'Fell Asleep; Fainted; Fatigued; etc.', and 2 drivers each were noted as 'Emotional' or 'Illness'.

Driver Condition

1
Apparently Normal286 (90.2%)
2
Other/Unknown16 (5%)
3
Under the Influence of Medications / Drugs / Alcohol8 (2.5%)
4
Fell Asleep; Fainted; Fatigued; etc.3 (0.9%)
5
Emotional (E.G.; Depressed; Angry; Disturbed)2 (0.6%)
6
Illness2 (0.6%)

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 in 20 incidents, with 'Other distraction inside the vehicle' being the most common at 10 incidents. 'Other distraction outside the vehicle' accounted for 6 incidents. Less frequent distractions included passengers (2 incidents) and electronic device use (2 incidents combined).

Driver Distraction

1
Not Distracted265 (83.9%)
2
Other/Unknown31 (9.8%)
3
Other distraction inside the vehicle10 (3.2%)
4
Other distraction outside the vehicle6 (1.9%)
5
Passenger2 (0.6%)
6
Manually operating an electronic communication device (texting; typing; dialing)1 (0.3%)
7
Other activity with an electronic device1 (0.3%)

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 crash incidents, 176, occurred on straight-level road alignments. However, 5 incidents occurred on curves (Curve Level: 3, Curve Grade: 2), representing 2.5% of incidents on known alignments. Incidents on grades (Straight Grade: 20, Curve Grade: 2) accounted for 22 incidents or 10.9% of known alignments.

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 frequent pre-crash action was 'Straight Ahead', accounting for 194 incidents. 'Parked' was the second most common action with 41 incidents, followed by 'Slowing or Stopped In Traffic' with 36 incidents. These three actions represent the immediate behavior of drivers in the majority of reported incidents.

Pre-Crash Driver Action

1
Straight Ahead194 (53.7%)
2
Parked41 (11.4%)
3
Slowing or Stopped In Traffic36 (10%)
4
Making Left Turn24 (6.6%)
5
Making Right Turn23 (6.4%)
6
Backing19 (5.3%)
7
Other/Unknown7 (1.9%)
8
Entering Traffic Lane6 (1.7%)
9
Negotiating a Curve3 (0.8%)

Showing top 9 of 14 reported. 5 additional (8 total) not shown: Overtaking/Passing, Leaving Traffic Lane, Making U-Turn, Changing Lanes, 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 manner of collision was 'Angle', accounting for 65 crashes or 32.2% of the total. 'Not Collision Between Two Vehicles in Transport' was the second most frequent, with 52 crashes or 25.7%. Rear-end collisions were also significant, making up 39 crashes or 19.3%.

Manner of Collision

"Other" combines 1 smaller categories (3 records): Head-on (3).

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 dominant vehicle type involved in crashes, accounting for 156 vehicles. Sport Utility Vehicles (94) and Pickups (58) also had high involvement. Commercial vehicles, including Semi-Tractors, Buses, Single Unit Trucks, and Cargo Vans, collectively accounted for 17 vehicles.

Vehicle Type

"Other" combines 7 smaller categories (13 records): Single Unit Truck (3), Van (9-15 Seats) (2), Cargo Van (2), Motorcycle 2 Wheeled (2), Other Vehicle (2), Pedestrian/Skater (1), Motorhome (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 dominant role among all persons involved in crashes, totaling 319 individuals. Occupants (passengers) were also significantly represented with 134 individuals. There was 1 pedestrian involved in a crash.

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 454 persons involved in crashes, 70 individuals sustained injuries, comprising 15.4% of all persons. This includes 6 serious injuries, 31 minor injuries, and 33 possible injuries. There were no fatalities among persons involved.

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 data shows that 'Shoulder and Lap Belt Used' was reported for 368 individuals. However, 54 individuals were reported as having 'None Used', representing 12.5% of persons with known safety equipment use. Additionally, 8 individuals used child restraint systems.

Occupant Safety Equipment

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

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: Bucyrus, OH
  • Total crash records analyzed: 202
  • Total persons involved: 454
  • Total vehicles involved: 361

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). "Bucyrus, 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/bucyrus/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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Bucyrus, OH Crash Report — 2021 | ThatCarHitMe.com