Yearly Traffic Safety Analysis

447 CRASHES IN
OHIO, OH
2021

In 2021, Hardin County recorded 447 traffic crashes, resulting in 6 fatalities and 134 injuries. A majority of these incidents, 51.9%, did not involve a collision between two vehicles in transport, indicating a high prevalence of single-vehicle crashes. Collisions with animals, primarily deer, were also a significant factor, accounting for 23.3% of all crashes.

447

Total Crash Events

6

Persons Killed

134

Persons Injured

10.5%

Hit-and-Run Rate

Note: "Persons Killed" (6) counts individual fatalities across all crash events. "Fatal" in the severity table below (6) 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

47

Hit-and-Run Crashes — 2021

Based on the initial determination of responding officers, 47 crashes in 2021 were classified as hit-and-run incidents. This represents 10.5% of all crashes recorded in Hardin County during the period.

Vulnerable Road User Casualties

In 2021, motorists accounted for the vast majority of casualties, with 5 killed and 128 injured. One pedestrian was killed and 6 were injured in 7 separate incidents. There were no cyclist fatalities or injuries reported during this period.

1

Pedestrians Killed

5

Motorists Killed

6

Pedestrians Injured

128

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 frequency in Hardin County peaked on Mondays, which saw 79 incidents in 2021. The most common time for crashes was the 6 p.m. hour, with 29 events. Crashes were more frequent during daylight hours (240 incidents) compared to all non-daylight conditions combined (197 incidents), though a significant number of crashes (127) occurred on unlit roadways after dark.

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

The majority of crashes, 76.3% (341 incidents), resulted in no injuries, with the remaining 23.7% involving some level of injury. This included 6 fatal crashes. These 6 crashes resulted in a total of 6 fatalities, as a single crash can involve more than one death.

Outcome by Severity (Crash Events)

Fatal6fatal crashes1.3%
Serious Injury13serious injury crashes2.9%
Minor Injury45minor injury crashes10.1%
Possible Injury42possible injury crashes9.4%
No Injury341no injury crashes76.3%

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 occurred in ideal driving conditions, with 70.5% happening in clear weather and 77.6% on dry road surfaces. Over half of the incidents (53.7%) took place during daylight hours. Adverse conditions were also present in a minority of crashes, including 41 incidents in rain and 61 on wet roads.

Weather

Clear315 (70.5%)
Cloudy60 (13.4%)
Rain41 (9.2%)
Snow17 (3.8%)
Other/Unknown8 (1.8%)
Fog; Smog; Smoke2 (0.4%)
Severe Crosswinds2 (0.4%)
Sleet; Hail2 (0.4%)

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

Lighting

Daylight240 (53.7%)
Dark - Roadway Not Lighted127 (28.4%)
Dark - Lighted Roadway38 (8.5%)
Dawn/Dusk32 (7.2%)
Other/Unknown7 (1.6%)
Dark - Unknown Roadway Lighting3 (0.7%)

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

Road Surface

Dry347 (77.6%)
Wet61 (13.6%)
Ice17 (3.8%)
Snow16 (3.6%)
Other/Unknown5 (1.1%)
Slush1 (0.2%)

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

Vehicles & Demographics

Analysis of persons involved in crashes shows the 26-34 age group was the most represented, with 133 individuals. Among the 699 vehicles involved in these incidents, the most frequent makes were Ford (116 vehicles), Chevrolet (99 vehicles), and Honda (87 vehicles).

Top Vehicle Makes (699 vehicles)

1
FORD116 (16.6%)
2
CHEVROLET99 (14.2%)
3
HONDA87 (12.4%)
4
DODGE52 (7.4%)
5
TOYOTA33 (4.7%)
6
GMC32 (4.6%)
7
KIA24 (3.4%)
8
NISSAN21 (3%)
9
BUICK17 (2.4%)
10
CHRYSLER16 (2.3%)

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

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

Sex Distribution (851 persons with recorded sex)

Male505 (59.3%)
Female346 (40.7%)

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, 358 out of 447, had their first harmful event occur on the main roadway. A notable portion, totaling 66 incidents or 14.8%, were run-off-road events, occurring on the shoulder, roadside, or 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

The data indicates that most vehicles involved in crashes were at locations with no traffic control device present (516 vehicles). In contrast, 82 vehicles were involved in crashes at locations with a traffic signal, and 93 were at locations with a stop sign.

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 contributing factors assigned to drivers, Failure to Yield was the most common, cited in 78 instances. This was followed by Drove off Road, which was noted 49 times, and Following too Close, cited 47 times. These factors represent the most frequent improper driver actions leading to crashes.

Driver Contributing Factor

1
Failure to Yield78 (22.3%)
2
Other Improper Action65 (18.6%)
3
Drove off Road49 (14%)
4
Following too Close / ACDA47 (13.5%)
5
Improper Backing23 (6.6%)
6
Not Discernible13 (3.7%)
7
Left of Center13 (3.7%)
8
Improper Turn12 (3.4%)
9
Ran Stop Sign11 (3.2%)

Showing top 9 of 17 reported. 8 additional (38 total) not shown: Unsafe Speed, Swerving to Avoid, Improper Passing, Ran Red Light, Vision Obstruction, Operating Defective Equipment, 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

A total of 30 commercial vehicles were involved in crashes in 2021. Of these, 22 were identified as semi-tractor-trailers, while 8 were classified as other types of commercial vehicles.

Vulnerable Road Users & Motorcycles

In 2021, there were 15 crashes involving vulnerable road users or motorcyclists. These included 8 incidents with motorcyclists and 7 with pedestrians. No crashes involving bicyclists were reported during this period.

Animal-Involved Crashes

Collisions with animals accounted for 104 crashes, representing 23.3% of all incidents in Hardin County. The vast majority of these, 94 crashes, involved deer, with an additional 10 crashes involving other types of animals.

Impairment (Alcohol / Drugs)

Impairment was a factor in 22 crashes, accounting for 4.9% of the total. Of these, alcohol was suspected in 14 incidents, drugs in 6, and a combination of alcohol and drugs in 2.

Driver Condition

While most drivers were reported as 'Apparently Normal,' 28 drivers were noted to have a condition potentially affecting their driving ability. This includes 16 drivers suspected of being under the influence of medications, drugs, or alcohol, and 5 drivers who reportedly fell asleep, fainted, or were fatigued.

Driver Condition

1
Apparently Normal547 (91.6%)
2
Other/Unknown22 (3.7%)
3
Under the Influence of Medications / Drugs / Alcohol16 (2.7%)
4
Fell Asleep; Fainted; Fatigued; etc.5 (0.8%)
5
Emotional (E.G.; Depressed; Angry; Disturbed)4 (0.7%)
6
Physical Impairment2 (0.3%)
7
Illness1 (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 the 632 drivers involved, 30 were reported as being distracted. The most common sources of distraction were non-specific events outside the vehicle (15 drivers) or inside the vehicle (10 drivers). Additionally, 3 drivers were distracted by electronic communication devices.

Driver Distraction

1
Not Distracted506 (85.6%)
2
Other/Unknown55 (9.3%)
3
Other distraction outside the vehicle15 (2.5%)
4
Other distraction inside the vehicle10 (1.7%)
5
Manually operating an electronic communication device (texting; typing; dialing)2 (0.3%)
6
Passenger2 (0.3%)
7
Talking on hand-held communication device1 (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 (412 out of 447) occurred on straight sections of road. However, roadway geometry played a role in some incidents, with 75 crashes (16.8%) happening on a grade and 25 crashes (5.6%) occurring on a curve.

Road Alignment

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

Top Cities

The geographic distribution of crashes was heavily concentrated in Kenton, which accounted for 190 incidents, or 42.5% of the county's total. Other significant locations included Ada with 34 crashes (7.6%) and Liberty with 30 crashes (6.7%).

Top Cities

1
Kenton190 (42.5%)
2
Ada34 (7.6%)
3
Liberty30 (6.7%)
4
Dudley19 (4.3%)
5
Pleasant18 (4%)
6
Roundhead18 (4%)
7
Marion17 (3.8%)
8
Buck16 (3.6%)
9
Jackson14 (3.1%)

Showing top 9 of 24 reported. 15 additional (91 total) not shown: Mcdonald, Hale, Cessna, Alger, Taylor Creek, Mount Victory, Dunkirk, Washington, Lynn, Blanchard, Mcguffey, Goshen, Forest, Dola, Ridgeway.

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

Pre-Crash Driver Action

An analysis of vehicle actions prior to collision shows that the majority of vehicles (430, or 61.5%) were moving straight ahead. The next most common pre-crash actions were being parked (55 vehicles) and slowing or stopped in traffic (48 vehicles).

Pre-Crash Driver Action

1
Straight Ahead430 (61.5%)
2
Parked55 (7.9%)
3
Slowing or Stopped In Traffic48 (6.9%)
4
Making Left Turn37 (5.3%)
5
Other/Unknown29 (4.1%)
6
Backing29 (4.1%)
7
Making Right Turn22 (3.1%)
8
Negotiating a Curve12 (1.7%)
9
Entering Traffic Lane11 (1.6%)

Showing top 9 of 15 reported. 6 additional (26 total) not shown: Overtaking/Passing, Walking; Running; Jogging; Playing, Entering or Crossing Specified Location, Driverless, Changing Lanes, Leaving Traffic Lane.

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 type of crash was a single-vehicle incident, categorized as 'Not Collision Between Two Vehicles in Transport,' which accounted for 232 crashes or 51.9% of the total. The next most common crash type was an angle collision, with 86 incidents (19.2%).

Manner of Collision

"Other" combines 2 smaller categories (6 records): Head-on (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 340 of the 699 total units. Sport Utility Vehicles (121 units) and Pick-up trucks (113 units) were also frequently involved. Commercial vehicles, including semi-tractors and buses, were involved in 43 instances.

Vehicle Type

"Other" combines 9 smaller categories (39 records): Pedestrian/Skater (8), Bus (16+ Passengers) (7), Heavy Equipment (5), Cargo Van (5), Van (9-15 Seats) (4), Single Unit Truck (4), Other Vehicle (3), Animal with Rider or Animal Drawn Vehicle (2), Farm Equipment (1).

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

Person Type

Of the 881 individuals involved in crashes, the majority were drivers, accounting for 632 people or 71.7% of the total. Passengers made up the next largest group with 241 individuals, while 8 pedestrians were also 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 881 people involved in crashes, 140 individuals sustained some level of injury or were killed. This includes 6 fatalities (0.7% of all persons), 15 serious injuries, and 119 minor or possible injuries. The vast majority, 714 people, were not 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

Safety equipment usage was documented for most vehicle occupants, with 619 individuals reported as using a shoulder and lap belt. A total of 36 occupants were reported as using no safety restraints at the time of their crash, representing 4.1% of all persons involved.

Occupant Safety Equipment

"Other" combines 1 smaller categories (7 records): Booster Seat (7).

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 data indicates a near-even split between two-vehicle crashes and single-vehicle crashes, which accounted for 225 (50.3%) and 210 (47.0%) incidents, respectively. Crashes involving three or more vehicles were less common, with only 12 such events recorded.

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: ohio, OH
  • Total crash records analyzed: 447
  • Total persons involved: 881
  • Total vehicles involved: 699

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: 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/statewide/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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Hardin County, OH Crash Report — 2021 | ThatCarHitMe.com