Yearly Traffic Safety Analysis

40 CRASHES IN
BLUFFTON, OH
2021

In Bluffton, Ohio, during 2021, there were 40 reported crashes, resulting in 0 fatalities and 9 injuries. A significant majority, 82.5%, of these crashes resulted in no injuries. Crash incidents peaked on Thursdays with 13 occurrences, and the most frequent crash hour was 7 PM, recording 5 incidents.

40

Total Crash Events

0

Persons Killed

9

Persons Injured

12.5%

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

5

Hit-and-Run Crashes — 2021

There were 5 hit-and-run crashes reported in Bluffton during 2021, accounting for 12.5% of all crashes. It is important to note that hit-and-run status is determined by the responding officer's initial assessment at the scene.

Vulnerable Road User Casualties

In 2021, there were no pedestrians or cyclists killed or injured in crashes. All 9 reported injuries were sustained by motorists. There were no fatalities among any user group during this period.

0

Motorists Killed

9

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 data from 2021 indicates that Thursdays experienced the highest number of crashes, with 13 incidents. The peak hour for crashes was 7 PM, which recorded 5 occurrences. A majority of crashes, 25 out of 40, occurred during daylight or dawn/dusk conditions, while 14 crashes happened 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 40 crashes, 33 (82.5%) resulted in no injuries, while 7 (17.5%) involved minor injuries. There were no fatal crashes reported in Bluffton during 2021. This means that zero persons were killed in crashes during this period.

Outcome by Severity (Crash Events)

Minor Injury7minor injury crashes17.5%
No Injury33no injury crashes82.5%

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 (24 out of 40) and on dry road surfaces (29 out of 40). Daylight was the most common lighting condition, accounting for 20 crashes. Adverse conditions such as snow contributed to 4 crashes, rain to 3 crashes, and wet or snowy road surfaces were present in 10 crashes.

Weather

Clear24 (60.0%)
Cloudy7 (17.5%)
Snow4 (10.0%)
Rain3 (7.5%)
Other/Unknown1 (2.5%)
Sleet; Hail1 (2.5%)

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

Lighting

Daylight20 (50.0%)
Dark - Lighted Roadway7 (17.5%)
Dark - Roadway Not Lighted6 (15.0%)
Dawn/Dusk5 (12.5%)
Dark - Unknown Roadway Lighting1 (2.5%)
Other/Unknown1 (2.5%)

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

Road Surface

Dry29 (72.5%)
Snow5 (12.5%)
Wet5 (12.5%)
Ice1 (2.5%)

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

Vehicles & Demographics

The age group 16-20 was most represented among persons involved in crashes, with 22 individuals, followed by the 55-64 age group with 11 individuals. Passenger Cars were the most frequently involved vehicle type, with 40 units. Ford and Honda vehicles were the most common makes involved, each appearing 10 times.

Top Vehicle Makes (69 vehicles)

1
FORD10 (14.5%)
2
HONDA10 (14.5%)
3
DODGE7 (10.1%)
4
CHEVROLET6 (8.7%)
5
TOYOTA4 (5.8%)
6
KIA3 (4.3%)
7
SUBARU3 (4.3%)
8
BUICK2 (2.9%)
9
CHRYSLER2 (2.9%)
10
GMC2 (2.9%)

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

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

Sex Distribution (70 persons with recorded sex)

Male36 (51.4%)
Female34 (48.6%)

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, 32 out of 40, occurred on the roadway itself. However, 6 crashes (15%) occurred off the travel lanes, specifically on the roadside (4), in the median (1), or on the shoulder (1).

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

A significant proportion of vehicles involved in crashes, 54 out of 69 (78.3%), were at locations with no traffic control. Overall, 65 vehicles (94.2%) were involved in crashes at uncontrolled locations (no control, stop sign, or yield sign). Only 4 vehicles (5.8%) were involved in crashes at 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

Among reported contributing factors, 'Other Improper Action' and 'Failure to Yield' were the most frequent, each accounting for 7 instances. 'Following too Close / ACDA' was also a notable factor, occurring 5 times. These top three factors combined represent 19 out of 34 reported contributing factors.

Driver Contributing Factor

1
Other Improper Action7 (18.9%)
2
Failure to Yield7 (18.9%)
3
Following too Close / ACDA5 (13.5%)
4
Unsafe Speed4 (10.8%)
5
Drove off Road3 (8.1%)
6
Improper Backing3 (8.1%)
7
Left of Center3 (8.1%)
8
Operating Defective Equipment1 (2.7%)
9
Improper Turn1 (2.7%)

Showing top 9 of 12 reported. 3 additional (3 total) not shown: Ran Red Light, Improper Passing, Vision Obstruction.

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

Driver Distraction

Driver distraction was reported in 5 instances, representing 8.1% of all drivers involved. 'Other distraction outside the vehicle' was the most common specific distraction, cited in 4 cases. 'Other distraction inside the vehicle' was noted in 1 instance.

Driver Distraction

1
Not Distracted46 (86.8%)
2
Other distraction outside the vehicle4 (7.5%)
3
Other/Unknown2 (3.8%)
4
Other distraction inside the vehicle1 (1.9%)

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

Most crashes, 29 out of 40, occurred on straight and level road alignments. However, 8 crashes (20%) occurred on curves (Curve Level or Curve Grade). Additionally, 4 crashes (10%) occurred on road sections with a grade (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 common pre-crash action was 'Straight Ahead,' accounting for 37 out of 69 vehicles. 'Making Left Turn' and 'Slowing or Stopped In Traffic' were the next most frequent actions, each reported for 8 vehicles. These three actions collectively represent 76.8% of all reported pre-crash actions.

Pre-Crash Driver Action

1
Straight Ahead37 (53.6%)
2
Making Left Turn8 (11.6%)
3
Slowing or Stopped In Traffic8 (11.6%)
4
Parked7 (10.1%)
5
Backing3 (4.3%)
6
Overtaking/Passing2 (2.9%)
7
Other/Unknown2 (2.9%)
8
Making Right Turn1 (1.4%)
9
Entering Traffic Lane1 (1.4%)

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,' occurring in 15 (37.5%) of the crashes. 'Angle' collisions were the second most common, accounting for 8 crashes (20%). 'Sideswipe; same direction' collisions also occurred frequently, with 6 incidents.

Manner of Collision

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 dominant vehicle type involved in crashes, accounting for 40 out of 69 vehicles (58.0%). Pickups and Sport Utility Vehicles were also frequently involved, with 9 units each. Trucks, including Single Unit Trucks, constituted a smaller share of vehicles involved.

Vehicle Type

"Other" combines 2 smaller categories (2 records): Moped or Motorized Bicycle (1), Golf Cart (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 62 individuals (81.6% of all persons). Occupants accounted for the remaining 14 individuals (18.4%). There were no pedestrians or cyclists reported among the persons involved.

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 76 persons involved in crashes, 65 (85.5%) sustained no injuries. A total of 9 persons (11.8%) sustained minor injuries. No fatalities were reported among any persons involved in crashes.

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

For persons with reported safety equipment use, 55 individuals used both shoulder and lap belts. There were 5 instances where no safety equipment was used, representing 6.6% of all persons with reported safety equipment status. Additionally, 14 instances were categorized as 'Other/Unknown' for safety equipment use.

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 5, 2026

Data Coverage

  • Reporting period: 2021-01-01 through 2021-12-31 (365 days)
  • Geographic scope: Bluffton, OH
  • Total crash records analyzed: 40
  • Total persons involved: 76
  • Total vehicles involved: 69

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). "Bluffton, 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/bluffton/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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Bluffton, OH Crash Report — 2021 | ThatCarHitMe.com