Yearly Traffic Safety Analysis

300 CRASHES IN
BELLEFONTAINE, OH
2021

Bellefontaine, Ohio recorded 300 traffic crashes in 2021, resulting in 65 injuries but no fatalities. The majority of crashes, 84.3%, were classified as 'No Injury', indicating primarily property damage incidents. There were 4 serious injuries, 23 minor injuries, and 20 possible injuries reported.

300

Total Crash Events

0

Persons Killed

65

Persons Injured

14.7%

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

44

Hit-and-Run Crashes — 2021

In 2021, Bellefontaine experienced 44 hit-and-run crashes, accounting for 14.7% of all reported incidents. These figures are based on the initial determination made by the responding officer at the scene of the crash.

Vulnerable Road User Casualties

In Bellefontaine during 2021, 64 motorists were injured, making them the most impacted group. One pedestrian sustained injuries, while no cyclists were injured. There were no fatalities reported among pedestrians, cyclists, or motorists.

0

Pedestrians Killed

0

Motorists Killed

1

Pedestrians Injured

64

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 Bellefontaine peaked on Thursdays with 53 incidents, followed closely by Tuesdays and Fridays, both with 51 crashes. The highest concentration of crashes occurred at 3 PM, with 32 incidents reported at this hour. A significant majority of crashes, 217, happened during daylight hours, while 77 occurred during dark or dawn/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

Out of 300 crashes in Bellefontaine during 2021, 253 (84.3%) resulted in no injuries. There were 47 injury crashes, comprising 4 serious injury, 23 minor injury, and 20 possible injury incidents. No fatal crashes were reported in Bellefontaine for the year 2021.

Outcome by Severity (Crash Events)

Serious Injury4serious injury crashes1.3%
Minor Injury23minor injury crashes7.7%
Possible Injury20possible injury crashes6.7%
No Injury253no injury crashes84.3%

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 Bellefontaine occurred under optimal conditions: 186 incidents happened during clear weather, 240 on dry road surfaces, and 217 during daylight. Conversely, 37 crashes occurred in adverse weather conditions (rain, snow, freezing rain, or fog), and 60 on adverse road surfaces (wet, snow, or ice).

Weather

Clear186 (62.0%)
Cloudy72 (24.0%)
Rain22 (7.3%)
Snow11 (3.7%)
Other/Unknown5 (1.7%)
Freezing Rain or Freezing Drizzle2 (0.7%)
Fog; Smog; Smoke2 (0.7%)

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

Lighting

Daylight217 (72.3%)
Dark - Lighted Roadway42 (14.0%)
Dark - Roadway Not Lighted21 (7.0%)
Dawn/Dusk14 (4.7%)
Other/Unknown6 (2.0%)

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

Road Surface

Dry240 (80.0%)
Wet46 (15.3%)
Snow11 (3.7%)
Ice3 (1.0%)

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 65+ age group was most represented with 111 individuals, followed by the 0-15 age group with 106 individuals. Honda vehicles were most frequently involved in crashes with 138 instances, followed by Chevrolet with 93 and Ford with 78.

Top Vehicle Makes (568 vehicles)

1
HONDA138 (24.3%)
2
CHEVROLET93 (16.4%)
3
FORD78 (13.7%)
4
TOYOTA28 (4.9%)
5
DODGE26 (4.6%)
6
NISSAN19 (3.3%)
7
JEEP17 (3%)
8
KIA16 (2.8%)
9
OTHER/UNKNOWN16 (2.8%)
10
ACURA15 (2.6%)

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

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

Sex Distribution (687 persons with recorded sex)

Male351 (51.1%)
Female336 (48.9%)

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 majority of crashes, 268 (89.3%), occurred on the roadway itself. A smaller proportion of crashes, 20 (6.7%), occurred off the main travel lanes, specifically on the roadside or shoulder. An additional 7 crashes (2.3%) took place entirely outside the trafficway.

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

Among vehicles involved in crashes, 341 were at locations with no traffic control present. Traffic signals were present for 161 vehicles involved, while stop signs were present for 59 vehicles. This indicates that a substantial number of vehicles involved in crashes were at uncontrolled intersections or road segments.

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 among drivers involved in crashes were 'Following too Close / ACDA' (89 drivers, 17.0%), 'Failure to Yield' (52 drivers, 9.9%), and 'Other Improper Action' (30 drivers, 5.7%). 'Improper Backing' contributed to 25 incidents (4.8%), and 'Improper Lane Change' to 17 incidents (3.2%).

Driver Contributing Factor

1
Following too Close / ACDA89 (30.8%)
2
Failure to Yield52 (18%)
3
Other Improper Action30 (10.4%)
4
Improper Backing25 (8.7%)
5
Improper Lane Change17 (5.9%)
6
Ran Red Light16 (5.5%)
7
Improper Turn15 (5.2%)
8
Drove off Road14 (4.8%)
9
Not Discernible9 (3.1%)

Showing top 9 of 19 reported. 10 additional (22 total) not shown: Left of Center, Ran Stop Sign, Improper Passing, Vision Obstruction, Operating Defective Equipment, Improper Start From a Parked Position, Swerving to Avoid, Unsafe Speed, Stopped or Parked Illegally, 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 19 commercial vehicles were involved in crashes, with 10 being semi-tractor trailers and 9 being other commercial vehicles. This indicates that commercial vehicles were present in a notable number of incidents during the period.

Animal-Involved Crashes

A total of 11 animal-involved incidents were reported, with 9 involving deer and 2 involving other animals. Deer strikes represent the dominant type of animal-related crash in the area.

Driver Condition

Out of 523 drivers, 11 were noted to have an abnormal physical or mental condition at the time of the crash. This included 5 drivers under the influence of medications/drugs/alcohol, 3 experiencing illness, 2 with physical impairments, and 1 who fell asleep/fainted/was fatigued.

Driver Condition

1
Apparently Normal488 (93.8%)
2
Other/Unknown21 (4%)
3
Under the Influence of Medications / Drugs / Alcohol5 (1%)
4
Illness3 (0.6%)
5
Physical Impairment2 (0.4%)
6
Fell Asleep; Fainted; Fatigued; etc.1 (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

Among drivers, 18 instances of distraction were identified. The most common distractions included 'Other distraction inside the vehicle' (10 drivers) and 'Other distraction outside the vehicle' (4 drivers). Additionally, 2 drivers were talking on a hand-held communication device, and 1 was manually operating an electronic communication device.

Driver Distraction

1
Not Distracted470 (91.8%)
2
Other/Unknown24 (4.7%)
3
Other distraction inside the vehicle10 (2%)
4
Other distraction outside the vehicle4 (0.8%)
5
Talking on hand-held communication device2 (0.4%)
6
Manually operating an electronic communication device (texting; typing; dialing)1 (0.2%)
7
Passenger1 (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

Road Alignment

The majority of crashes, 232, occurred on straight, level road alignments. However, 6 crashes (2.0%) occurred on curves (Curve Level or Curve Grade), which are areas associated with elevated risk. Additionally, 63 crashes (21.0%) occurred on road grades (Straight Grade or 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 frequent pre-crash actions by vehicles were 'Straight Ahead' (274 vehicles, 48.2%), 'Slowing or Stopped In Traffic' (107 vehicles, 18.8%), and 'Parked' (43 vehicles, 7.6%). These three actions collectively represent a significant portion of vehicle behaviors immediately prior to a crash.

Pre-Crash Driver Action

1
Straight Ahead274 (48.2%)
2
Slowing or Stopped In Traffic107 (18.8%)
3
Parked43 (7.6%)
4
Making Left Turn39 (6.9%)
5
Backing27 (4.8%)
6
Making Right Turn22 (3.9%)
7
Changing Lanes20 (3.5%)
8
Entering Traffic Lane16 (2.8%)
9
Other/Unknown13 (2.3%)

Showing top 9 of 14 reported. 5 additional (7 total) not shown: Negotiating a Curve, Overtaking/Passing, Leaving Traffic Lane, Driverless, 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 dominant manner of collision was 'Rear-end', accounting for 97 crashes or 32.3% of all incidents. 'Angle' collisions were the second most frequent, with 79 crashes (26.3%). 'Not Collision Between Two Vehicles in Transport' represented 51 crashes (17.0%).

Manner of Collision

"Other" combines 2 smaller categories (6 records): Sideswipe; opposite direction (5), 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 286 of the 568 total vehicles. Trucks and buses, including semi-tractors, cargo vans, and passenger buses, collectively represented 19 vehicles involved. Sport utility vehicles (125) and pick-up trucks (91) also had significant involvement.

Vehicle Type

"Other" combines 10 smaller categories (15 records): Cargo Van (3), Bus (16+ Passengers) (3), Single Unit Truck (2), Van (9-15 Seats) (1), Bicycle (1), Heavy Equipment (1), Motorcycle 2 Wheeled (1), Motorcycle 3 Wheeled (1), Pedestrian/Skater (1), All Terrain Vehicle (ATV/UTV) (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 523 individuals, representing 73.5% of all persons. Occupants accounted for 188 individuals (26.4%), while 1 pedestrian was involved. These figures highlight that the vast majority of persons involved were vehicle occupants.

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 712 persons involved in crashes, 65 sustained injuries, representing 9.1% of all individuals. This total includes 4 serious injuries, 30 minor injuries, and 31 possible injuries. The remaining 635 persons (89.2%) did not sustain any injuries.

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 participants with recorded safety equipment use, 595 individuals (83.7%) used both shoulder and lap belts. However, 42 individuals (5.9%) were reported to have used no safety equipment. Child restraint systems were used by 26 children (17 forward-facing, 9 rear-facing).

Occupant Safety Equipment

"Other" combines 1 smaller categories (3 records): Lap Belt Only Used (3).

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 in Bellefontaine were two-vehicle incidents, totaling 246 crashes (82.0%). Single-vehicle crashes accounted for 43 incidents (14.3%). There were 11 multi-vehicle crashes involving three 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 5, 2026

Data Coverage

  • Reporting period: 2021-01-01 through 2021-12-31 (365 days)
  • Geographic scope: Bellefontaine, OH
  • Total crash records analyzed: 300
  • Total persons involved: 712
  • Total vehicles involved: 568

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). "Bellefontaine, 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/bellefontaine/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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Bellefontaine, OH Crash Report — 2021 | ThatCarHitMe.com