Monthly Traffic Safety Analysis

234 CRASHES IN
OHIO, OH
MARCH 2021

In March 2021, Allen County recorded 234 traffic crashes, resulting in 0 fatalities and 84 injuries. The most common contributing factors cited for drivers involved were 'Failure to Yield' and 'Following too Close / ACDA', attributed to 47 and 43 vehicular units, respectively.

234

Total Crash Events

0

Persons Killed

84

Persons Injured

16.2%

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 · 2021-03-01 to 2021-03-31 · Aggregate counts from crash, person, and vehicle records

38

Hit-and-Run Crashes — March 2021

In this period, 38 crashes were classified as hit-and-run incidents, representing 16.2% of all crashes in Allen County. This determination is based on the initial assessment by the responding law enforcement officer at the scene.

Vulnerable Road User Casualties

A total of 84 individuals were injured in crashes, with no fatalities reported. The vast majority of those injured were motorists, accounting for 83 injuries. One pedestrian was also injured during this period, while no cyclists were reported as killed or injured.

0

Pedestrians Killed

0

Motorists Killed

1

Pedestrians Injured

83

Motorists Injured

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

Crashes in Allen County during March 2021 occurred most frequently on Wednesdays, which saw 44 incidents. The afternoon commute period was the most hazardous time of day, with a peak of 24 crashes occurring in the 3 p.m. hour. A smaller peak was also observed during the morning commute hours between 6 a.m. and 8 a.m.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Of the 234 total crashes, 175 (74.8%) resulted in no injuries and were classified as property-damage-only incidents. The remaining 59 crashes involved injuries, including 6 with serious injuries, 25 with minor injuries, and 28 with possible injuries. There were no fatal crashes recorded during this period.

Outcome by Severity (Crash Events)

Serious Injury6serious injury crashes2.6%
Minor Injury25minor injury crashes10.7%
Possible Injury28possible injury crashes12%
No Injury175no injury crashes74.8%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Most severe injury per crash record

Road & Environmental Conditions

The majority of crashes occurred in favorable conditions, with 89.3% of incidents happening on dry roads and 73.5% in clear weather. Crashes during daylight hours accounted for 64.5% of the total. Adverse conditions were less frequent, with 13 crashes occurring in rain and 22 on wet road surfaces.

Weather

Clear172 (73.5%)
Cloudy40 (17.1%)
Rain13 (5.6%)
Other/Unknown5 (2.1%)
Fog; Smog; Smoke3 (1.3%)
Severe Crosswinds1 (0.4%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Weather condition at time of crash

Lighting

Daylight151 (64.5%)
Dark - Roadway Not Lighted34 (14.5%)
Dark - Lighted Roadway29 (12.4%)
Dawn/Dusk13 (5.6%)
Other/Unknown6 (2.6%)
Dark - Unknown Roadway Lighting1 (0.4%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Lighting condition field

Road Surface

Dry209 (89.3%)
Wet22 (9.4%)
Other/Unknown3 (1.3%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Road surface condition field

Vehicles & Demographics

Analysis of the 507 persons involved in crashes shows the 35-44 age group was the most represented, with 71 individuals. Among the 412 vehicles involved, the most frequent makes were Ford (86 vehicles), Chevrolet (57 vehicles), and Dodge (31 vehicles).

Top Vehicle Makes (412 vehicles)

1
FORD86 (20.9%)
2
CHEVROLET57 (13.8%)
3
DODGE31 (7.5%)
4
HONDA29 (7%)
5
TOYOTA22 (5.3%)
6
KIA15 (3.6%)
7
BUICK14 (3.4%)
8
JEEP13 (3.2%)
9
HYUNDAI12 (2.9%)
10
CHRYSLER12 (2.9%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Vehicle unit records

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

Sex Distribution (481 persons with recorded sex)

Male256 (53.2%)
Female225 (46.8%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Person-level records linked to crash events

Crash Location (First Harmful Event)

The first harmful event in 201 of the 234 crashes occurred on the roadway. A total of 19 crashes, or 8.1% of the total, originated off the primary travel lanes, including 10 on the roadside, 5 on the shoulder, and 4 in the median.

Crash Location (First Harmful Event)

"Other" combines 2 smaller categories (2 records): Off ramp (1), Railway grade crossing (1).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Crash-level records

Traffic Control Device

Analysis of traffic controls for units involved in crashes shows that the majority, 270 out of 411 units with known data, were at locations with no traffic control device. By comparison, 97 units were involved in crashes at signalized intersections and 39 were at locations with a stop sign.

Traffic Control Device

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Vehicle unit records

Driver Contributing Factor

The most frequently cited contributing factor for drivers was 'Failure to Yield,' attributed to 47 vehicular units. This was followed closely by 'Following too Close / ACDA' with 43 units. Other common factors included 'Other Improper Action' (19 units) and 'Drove off Road' (16 units).

Driver Contributing Factor

1
Failure to Yield47 (24.6%)
2
Following too Close / ACDA43 (22.5%)
3
Other Improper Action19 (9.9%)
4
Drove off Road16 (8.4%)
5
Improper Backing12 (6.3%)
6
Improper Lane Change11 (5.8%)
7
Ran Red Light9 (4.7%)
8
Not Discernible8 (4.2%)
9
Ran Stop Sign5 (2.6%)

Showing top 9 of 19 reported. 10 additional (21 total) not shown: Improper Turn, Improper Passing, Left of Center, Improper Crossing, Opening Door into Roadway, Operating Defective Equipment, Load shifting/Falling/Spilling, Swerving to Avoid, Unsafe Speed, Vision Obstruction.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Vehicle unit records

Commercial / Truck Involvement

Crashes involving commercial trucks accounted for 19 of the 234 total incidents, representing 8.1% of all crashes. Among these, 14 involved a semi-tractor trailer and 5 involved other types of commercial vehicles.

Animal-Involved Crashes

A total of 33 crashes, or 14.1% of all incidents, were attributed to collisions with animals. The vast majority of these, 31 crashes, involved deer, while 2 crashes involved other types of animals.

Driver Condition

Among the 384 drivers involved, 14 were noted as having a condition other than 'Apparently Normal'. This included 7 drivers who were under the influence of alcohol, drugs, or medication, 2 who were ill, 2 who fell asleep or were fatigued, and 2 with a physical impairment.

Driver Condition

1
Apparently Normal342 (90.7%)
2
Other/Unknown21 (5.6%)
3
Under the Influence of Medications / Drugs / Alcohol7 (1.9%)
4
Illness2 (0.5%)
5
Fell Asleep; Fainted; Fatigued; etc.2 (0.5%)
6
Physical Impairment2 (0.5%)
7
Emotional (E.G.; Depressed; Angry; Disturbed)1 (0.3%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Person-level records linked to crash events

Driver Distraction

While most drivers were listed as not distracted, 17 drivers were noted to have a specific distraction. The most common was 'Other distraction inside the vehicle' with 9 instances, followed by 'Other distraction outside the vehicle' with 5 instances. Two drivers were manually operating an electronic communication device.

Driver Distraction

1
Not Distracted339 (89.7%)
2
Other/Unknown22 (5.8%)
3
Other distraction inside the vehicle9 (2.4%)
4
Other distraction outside the vehicle5 (1.3%)
5
Manually operating an electronic communication device (texting; typing; dialing)2 (0.5%)
6
Talking on hands-free communication device1 (0.3%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Person-level records linked to crash events

Road Alignment

The majority of crashes occurred on straight, level road segments. However, 17 crashes (7.3% of total) happened on curves, and 16 crashes (6.8% of total) occurred on grades. Six of these incidents occurred on road segments that were both curved and graded.

Road Alignment

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Crash-level records

Top Cities

Within Allen County, crashes were most concentrated in the city of Lima, which accounted for 99 incidents, or 42.3% of the county's total. The townships of American (36 crashes), Shawnee (23 crashes), and Bath (23 crashes) were the next most frequent locations for collisions.

Top Cities

1
Lima99 (42.3%)
2
American36 (15.4%)
3
Shawnee23 (9.8%)
4
Bath23 (9.8%)
5
Richland9 (3.8%)
6
Perry8 (3.4%)
7
Amanda6 (2.6%)
8
Marion5 (2.1%)
9
Jackson4 (1.7%)

Showing top 9 of 17 reported. 8 additional (21 total) not shown: Monroe, Delphos, Bluffton, Sugar Creek, Auglaize, Spencer, Elida, Spencerville.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Crash-level records

Pre-Crash Driver Action

The most common action by vehicles immediately prior to a crash was proceeding 'Straight Ahead,' which was the case for 229 of the 412 vehicles involved. The next most frequent pre-crash action was 'Slowing or Stopped In Traffic,' involving 60 vehicles.

Pre-Crash Driver Action

1
Straight Ahead229 (55.6%)
2
Slowing or Stopped In Traffic60 (14.6%)
3
Making Left Turn29 (7%)
4
Parked27 (6.6%)
5
Backing16 (3.9%)
6
Changing Lanes11 (2.7%)
7
Making Right Turn10 (2.4%)
8
Other/Unknown10 (2.4%)
9
Negotiating a Curve8 (1.9%)

Showing top 9 of 13 reported. 4 additional (12 total) not shown: Entering Traffic Lane, Leaving Traffic Lane, Overtaking/Passing, Entering or Crossing Specified Location.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Vehicle unit records

Manner of Collision

The most frequent type of crash was a single-vehicle incident, classified as 'Not Collision Between Two Vehicles in Transport,' which accounted for 80 crashes or 34.2% of the total. Among multi-vehicle crashes, angle collisions were most common with 60 incidents (25.6%), followed by rear-end collisions with 44 incidents (18.8%).

Manner of Collision

"Other" combines 1 smaller categories (6 records): Head-on (6).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Crash-level records

Vehicle Type

Passenger cars were the most common vehicle type involved in crashes, accounting for 212 of the 412 total vehicles (51.5%). Sport Utility Vehicles (79) and Pick-up trucks (57) were the next most common. Commercial vehicles, including semi-tractors, single-unit trucks, and cargo vans, were involved in 24 instances.

Vehicle Type

"Other" combines 6 smaller categories (14 records): Motorcycle 2 Wheeled (5), Single Unit Truck (4), Heavy Equipment (2), Moped or Motorized Bicycle (1), Other Vehicle (1), Pedestrian/Skater (1).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Vehicle unit records

Person Type

Of the 507 people involved in crashes, the majority were drivers, accounting for 384 individuals or 75.7% of the total. Passengers (occupants) comprised another 122 individuals (24.1%). A single pedestrian was also involved in one of the crashes.

Person Type

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Crash-level records

Person Injury Severity

Across all 507 individuals involved in these crashes, 84 people sustained some level of injury, representing 16.6% of all participants. This included 6 serious injuries, 37 minor injuries, and 41 possible injuries. No fatalities were recorded among any of the persons involved.

Person Injury Severity

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Crash-level records

Occupant Safety Equipment

Among 475 occupants for whom safety equipment use was documented, 19 individuals (4.0%) were reported as not using any form of restraint. The vast majority, 429 people, were using both a shoulder and lap belt. Additionally, 17 children were secured in various child restraint systems.

Occupant Safety Equipment

"Other" combines 2 smaller categories (2 records): Lap Belt Only Used (1), Booster Seat (1).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · Person-level records linked to crash events

Vehicles Per Crash

The most common crash configuration involved two vehicles, which accounted for 161 of the 234 incidents (68.8%). Single-vehicle crashes were also frequent, with 65 incidents representing 27.8% of the total. There were 8 crashes involving three or more vehicles.

Vehicles Per Crash

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-03-01 to 2021-03-31 · 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: 2021-03-01 through 2021-03-31
  • Report generated: July 6, 2026

Data Coverage

  • Reporting period: 2021-03-01 through 2021-03-31 (31 days)
  • Geographic scope: ohio, OH
  • Total crash records analyzed: 234
  • Total persons involved: 507
  • Total vehicles involved: 412

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: March 2021." Published July 6, 2026. Reporting period: 2021-03-01 to 2021-03-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/march-2021-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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Allen County, OH Crash Report — March 2021 | ThatCarHitMe.com