Yearly Traffic Safety Analysis

946 CRASHES IN
OHIO, OH
2021

In 2021, Logan County recorded 946 traffic crashes, resulting in 5 fatalities and 279 injuries. A significant portion of these incidents, 46.5%, were single-vehicle crashes where the first harmful event was not a collision with another vehicle in transport.

946

Total Crash Events

5

Persons Killed

279

Persons Injured

11.1%

Hit-and-Run Rate

Note: "Persons Killed" (5) counts individual fatalities across all crash events. "Fatal" in the severity table below (5) 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

105

Hit-and-Run Crashes — 2021

According to initial officer reports, 105 crashes in Logan County involved a hit-and-run. These incidents accounted for 11.1% of all crashes recorded in 2021.

Vulnerable Road User Casualties

Motorists accounted for all 5 fatalities and the vast majority of injuries, with 278 reported. In crashes involving vulnerable road users, no cyclists were injured or killed. One pedestrian sustained injuries, but no pedestrian fatalities were recorded in 2021.

0

Pedestrians Killed

5

Motorists Killed

1

Pedestrians Injured

278

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 Logan County occurred most frequently on Fridays, with 171 incidents reported. The afternoon commute, particularly the 5 p.m. hour, was the daily peak for crashes with 79 events. While the majority of collisions (609) happened during daylight hours, a substantial number also occurred in dark conditions, including 218 on unlighted roadways.

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 vast majority of crashes, 78.1% (739 incidents), resulted in no injuries. Injury-sustaining crashes, including those with possible, minor, or serious injuries, accounted for 21.4% of the total. There were 5 fatal crashes recorded, which resulted in 5 total fatalities during this period.

Outcome by Severity (Crash Events)

Fatal5fatal crashes0.5%
Serious Injury42serious injury crashes4.4%
Minor Injury98minor injury crashes10.4%
Possible Injury62possible injury crashes6.6%
No Injury739no injury crashes78.1%

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

Most crashes occurred in seemingly ideal conditions, with 62.1% (587) happening in clear weather and 72.5% (686) on dry road surfaces. Similarly, 64.4% of all incidents (609) took place during daylight hours. Adverse conditions still played a role, with 97 crashes occurring during rain and 178 on wet roads.

Weather

Clear587 (62.1%)
Cloudy172 (18.2%)
Rain97 (10.3%)
Snow65 (6.9%)
Fog; Smog; Smoke12 (1.3%)
Other/Unknown6 (0.6%)
Freezing Rain or Freezing Drizzle3 (0.3%)
Severe Crosswinds2 (0.2%)
Sleet; Hail2 (0.2%)

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

Lighting

Daylight609 (64.4%)
Dark - Roadway Not Lighted218 (23.0%)
Dark - Lighted Roadway71 (7.5%)
Dawn/Dusk38 (4.0%)
Other/Unknown9 (1.0%)
Dark - Unknown Roadway Lighting1 (0.1%)

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

Road Surface

Dry686 (72.5%)
Wet178 (18.8%)
Snow59 (6.2%)
Ice22 (2.3%)
Slush1 (0.1%)

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 311 individuals, followed by the 16-20 age group with 248 individuals. Among the 1,522 vehicles involved in collisions, the most frequent makes were Honda (319 vehicles), Chevrolet (248 vehicles), and Ford (225 vehicles).

Top Vehicle Makes (1,522 vehicles)

1
HONDA319 (21%)
2
CHEVROLET248 (16.3%)
3
FORD225 (14.8%)
4
DODGE82 (5.4%)
5
TOYOTA76 (5%)
6
GMC40 (2.6%)
7
NISSAN39 (2.6%)
8
JEEP38 (2.5%)
9
KIA36 (2.4%)
10
HYUNDAI36 (2.4%)

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

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

Sex Distribution (1,932 persons with recorded sex)

Male1,078 (55.8%)
Female854 (44.2%)

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 first harmful event in most crashes, 681 incidents, occurred on the roadway itself. However, a notable portion of crashes were run-off-road events, with 148 occurring on the roadside and 66 on the shoulder. Combined, these crashes originating off the primary travel lanes represent 22.8% of all incidents.

Crash Location (First Harmful Event)

"Other" combines 5 smaller categories (5 records): Shared-use paths or trails (1), Off ramp (1), On ramp (1), Railway grade crossing (1), Crossover (1).

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

Traffic Control Device

The majority of vehicles involved in crashes were at locations with no traffic control device present, accounting for 1,132 units. Crashes at signalized intersections involved 198 vehicles, while those at intersections with stop signs involved 174 vehicles.

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 driver actions cited as contributing factors, driving off the road was the most common, attributed to 188 vehicles. This was followed by following too closely (175 vehicles) and failure to yield (143 vehicles). Unsafe speed was a factor for 40 vehicles, and running a red light was cited for 18 vehicles.

Driver Contributing Factor

1
Drove off Road188 (22.7%)
2
Following too Close / ACDA175 (21.1%)
3
Failure to Yield143 (17.3%)
4
Other Improper Action58 (7%)
5
Improper Backing41 (5%)
6
Unsafe Speed40 (4.8%)
7
Improper Lane Change28 (3.4%)
8
Improper Turn23 (2.8%)
9
Left of Center23 (2.8%)

Showing top 9 of 20 reported. 11 additional (109 total) not shown: Not Discernible, Improper Passing, Ran Red Light, Swerving to Avoid, Ran Stop Sign, Operating Defective Equipment, Load shifting/Falling/Spilling, Improper Start From a Parked Position, Vision Obstruction, Wrong Way, Stopped or Parked Illegally.

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 70 commercial trucks were involved in crashes in 2021. Of these, 45 were identified as semi-tractor trailers and 25 were classified as other types of commercial vehicles.

Vulnerable Road Users & Motorcycles

Crashes in 2021 involved a total of 21 motorcyclists, bicyclists, and pedestrians. This included 17 motorcyclists, 3 bicyclists, and 1 pedestrian. Combined, these vulnerable road users and motorcyclists represent a group often associated with higher injury severity rates.

Animal-Involved Crashes

Collisions with animals accounted for 95 crashes, representing 10.0% of all incidents in the county. The vast majority of these, 88 crashes, involved deer. An additional 7 crashes were attributed to collisions with other types of animals.

Impairment (Alcohol / Drugs)

Impairment was a factor in 44 crashes, constituting 4.7% of the total for the year. Of these incidents, 35 were related to alcohol, 5 were related to drugs, and 4 involved a combination of both alcohol and drugs.

Driver Condition

Beyond those noted as 'Apparently Normal,' several driver conditions were cited in crash reports. Impairment from medications, drugs, or alcohol was noted for 38 drivers. An additional 18 drivers were reported as having fallen asleep, fainted, or being fatigued, while 7 had a physical impairment.

Driver Condition

1
Apparently Normal1,308 (90.6%)
2
Other/Unknown66 (4.6%)
3
Under the Influence of Medications / Drugs / Alcohol38 (2.6%)
4
Fell Asleep; Fainted; Fatigued; etc.18 (1.2%)
5
Physical Impairment7 (0.5%)
6
Illness6 (0.4%)
7
Emotional (E.G.; Depressed; Angry; Disturbed)1 (0.1%)

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 1,457 drivers involved in crashes, 63 were noted as being distracted. The most common citation was 'Other distraction inside the vehicle' (31 drivers), followed by 'Other distraction outside the vehicle' (16 drivers). Manually operating an electronic communication device like a phone was a factor for 7 drivers.

Driver Distraction

1
Not Distracted1,305 (90.7%)
2
Other/Unknown71 (4.9%)
3
Other distraction inside the vehicle31 (2.2%)
4
Other distraction outside the vehicle16 (1.1%)
5
Manually operating an electronic communication device (texting; typing; dialing)7 (0.5%)
6
Other activity with an electronic device4 (0.3%)
7
Passenger3 (0.2%)
8
Talking on hand-held communication device2 (0.1%)

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

While most crashes occurred on straight and level roads, a significant number happened on roads with challenging geometry. Crashes on curves accounted for 13.4% of the total (127 incidents), and crashes on grades (both straight and curved) made up 35.9% of all incidents (340 crashes).

Road Alignment

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

Top Cities

The highest concentration of crashes occurred in Bellefontaine, which saw 300 incidents, representing 31.7% of the county's total. The townships of Jefferson and Mcarthur followed, with 93 and 69 crashes, respectively. Stokes (52 crashes) and Perry (50 crashes) also recorded notable crash volumes.

Top Cities

1
Bellefontaine300 (31.7%)
2
Jefferson93 (9.8%)
3
Mcarthur69 (7.3%)
4
Stokes52 (5.5%)
5
Perry50 (5.3%)
6
Richland40 (4.2%)
7
Lake37 (3.9%)
8
Rushcreek30 (3.2%)
9
Zane27 (2.9%)

Showing top 9 of 31 reported. 22 additional (248 total) not shown: Harrison, Pleasant, Liberty, Monroe, Washington, Miami, Russells Point, Bloomfield, Union, West Liberty, Bokescreek, Huntsville, De Graff, Belle Center, Quincy, Lakeview, Zanesfield, West Mansfield, Ridgeway, Rushsylvania, East Liberty, Valley Hi.

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 for vehicles was driving straight ahead, which was reported for 896 vehicles, or 58.9% of the total. The next most frequent actions were slowing or stopping in traffic (188 vehicles) and making a left turn (105 vehicles).

Pre-Crash Driver Action

1
Straight Ahead896 (58.9%)
2
Slowing or Stopped In Traffic188 (12.4%)
3
Making Left Turn105 (6.9%)
4
Negotiating a Curve76 (5%)
5
Parked63 (4.1%)
6
Backing44 (2.9%)
7
Making Right Turn38 (2.5%)
8
Entering Traffic Lane33 (2.2%)
9
Changing Lanes27 (1.8%)

Showing top 9 of 15 reported. 6 additional (52 total) not shown: Other/Unknown, Overtaking/Passing, Leaving Traffic Lane, Walking; Running; Jogging; Playing, Driverless, Making U-Turn.

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 crash type was a single-vehicle collision, categorized as 'Not Collision Between Two Vehicles in Transport,' which accounted for 440 incidents or 46.5% of the total. Among multi-vehicle crashes, angle collisions were the most frequent type with 187 incidents (19.8%), followed closely by rear-end collisions with 174 incidents (18.4%).

Manner of Collision

"Other" combines 2 smaller categories (20 records): Head-on (18), Rear-to-rear (2).

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, with 709 units recorded. Sport utility vehicles (308 units) and pick-up trucks (285 units) were also frequently involved. Commercial vehicles, including semi-tractors, single-unit trucks, and buses, accounted for 71 of the vehicles in collisions.

Vehicle Type

"Other" combines 14 smaller categories (70 records): Motorcycle 2 Wheeled (16), Cargo Van (10), Other Vehicle (7), Farm Equipment (6), Bus (16+ Passengers) (6), Heavy Equipment (5), Van (9-15 Seats) (5), Animal with Rider or Animal Drawn Vehicle (5), Bicycle (3), All Terrain Vehicle (ATV/UTV) (2), Motorcycle 3 Wheeled (2), Pedestrian/Skater (1), Motorhome (1), Autocycle (1).

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

Person Type

Of the 1,994 people involved in traffic crashes, the majority were drivers, accounting for 1,457 individuals (73.1%). Passengers (occupants) made up the second-largest group with 536 individuals (26.9%). A single pedestrian was also involved in a crash during this period.

Person Type

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

Person Injury Severity

A total of 1,994 people were involved in crashes, with the majority (1,679) sustaining no injuries. In total, 279 individuals were injured, including 52 with serious injuries, 136 with minor injuries, and 91 with possible injuries. Five fatalities were recorded among all 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

Among vehicle occupants for whom safety equipment use was recorded, 1,642 were using both a shoulder and lap belt. However, 147 individuals were reported as using no safety equipment at all, representing 7.4% of occupants. An additional 93 individuals were using various child restraint systems or other belt configurations.

Occupant Safety Equipment

"Other" combines 2 smaller categories (12 records): Lap Belt Only Used (7), Helmet Used (5).

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 most common type of collision involved two vehicles, accounting for 507 incidents (53.6% of the total). Single-vehicle crashes were also very common, with 405 incidents making up 42.8% of all crashes. Crashes involving three or more vehicles were less frequent, with 34 such incidents 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: 946
  • Total persons involved: 1,994
  • Total vehicles involved: 1,522

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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Logan County, OH Crash Report — 2021 | ThatCarHitMe.com