Yearly Traffic Safety Analysis

690 CRASHES IN
OHIO, OH
2021

In 2021, Hocking County recorded 690 traffic crashes, resulting in 5 fatalities and 248 injuries. A significant majority of these incidents, 57% of the total, were single-vehicle crashes not involving a collision with another vehicle in transport. These non-collision events, such as running off the road or striking a fixed object, represent the most common crash scenario in the county.

690

Total Crash Events

5

Persons Killed

248

Persons Injured

8.4%

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

58

Hit-and-Run Crashes — 2021

In 2021, 58 crashes in Hocking County were classified as hit-and-run incidents, accounting for 8.4% of all reported crashes. This classification is based on the initial determination made by the responding law enforcement officer at the scene of the crash.

Vulnerable Road User Casualties

In 2021, crash data for Hocking County shows a total of 5 people were killed and 248 were injured. Among these, one pedestrian was killed and 6 were injured. The majority of casualties were motor vehicle occupants, with 4 motorists killed and 242 injured. No cyclists were reported killed or injured in crashes during this period.

1

Pedestrians Killed

4

Motorists Killed

6

Pedestrians Injured

242

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 patterns in Hocking County during 2021 show a concentration during daytime hours. The most frequent day for crashes was Tuesday, with 113 incidents, and the peak hour was 2 p.m., which saw 53 crashes. A majority of collisions, 448 out of 690, occurred during daylight.

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

Of the 690 total crashes in Hocking County, the majority (73.3%, or 506 incidents) resulted in no injuries and were limited to property damage. The remaining crashes involved possible, minor, or serious injuries. There were 5 fatal crashes recorded, which resulted in a total of 5 fatalities.

Outcome by Severity (Crash Events)

Fatal5fatal crashes0.7%
Serious Injury33serious injury crashes4.8%
Minor Injury95minor injury crashes13.8%
Possible Injury51possible injury crashes7.4%
No Injury506no injury crashes73.3%

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 Hocking County occurred in ideal driving conditions. Approximately 73% of crashes (502) happened on dry roads, 65% (448) in daylight, and 53% (364) in clear weather. Adverse conditions were present in a smaller fraction of incidents, with rain cited in 79 crashes and wet roads in 134 crashes.

Weather

Clear364 (52.8%)
Cloudy203 (29.4%)
Rain79 (11.4%)
Snow31 (4.5%)
Fog; Smog; Smoke6 (0.9%)
Other/Unknown3 (0.4%)
Sleet; Hail3 (0.4%)
Freezing Rain or Freezing Drizzle1 (0.1%)

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

Lighting

Daylight448 (64.9%)
Dark - Roadway Not Lighted183 (26.5%)
Dark - Lighted Roadway31 (4.5%)
Dawn/Dusk21 (3.0%)
Other/Unknown5 (0.7%)
Dark - Unknown Roadway Lighting2 (0.3%)

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

Road Surface

Dry502 (72.8%)
Wet134 (19.4%)
Snow27 (3.9%)
Ice21 (3.0%)
Slush3 (0.4%)
Other/Unknown2 (0.3%)
Water (Standing; Moving)1 (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 the 1,356 individuals involved in crashes shows the 26-34 age group was the most represented, with 253 people. Among the 1,041 vehicles involved, passenger cars were the most common type, accounting for 472 vehicles. The most frequent vehicle makes recorded in crashes were Ford (164 vehicles), Chevrolet (157 vehicles), Honda (94 vehicles), and Toyota (92 vehicles).

Top Vehicle Makes (1,041 vehicles)

1
FORD164 (15.8%)
2
CHEVROLET157 (15.1%)
3
HONDA94 (9%)
4
TOYOTA92 (8.8%)
5
NISSAN60 (5.8%)
6
JEEP53 (5.1%)
7
DODGE46 (4.4%)
8
KIA37 (3.6%)
9
GMC32 (3.1%)
10
HYUNDAI27 (2.6%)

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 (1,316 persons with recorded sex)

Male758 (57.6%)
Female558 (42.4%)

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)

Analysis of where crashes occurred shows that 409 incidents, or 59% of the total, had their first harmful event on the primary roadway. A significant portion, totaling 267 crashes (39%), were classified as run-off-road events, with the first harmful event occurring on the roadside, shoulder, or in the median.

Crash Location (First Harmful Event)

"Other" combines 1 smaller categories (1 records): Off ramp (1).

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

Traffic Control Device

The vast majority of vehicles involved in crashes were at locations with no traffic control devices, accounting for 815 vehicles. Vehicles at locations with traffic signals were involved in 134 instances, while those at stop signs were involved in 55. This indicates that most crashes occurred on road segments away from controlled 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 driver-related contributing factors, Unsafe Speed was the most frequently cited, attributed to 173 vehicles. The next most common factors were Following too Close / ACDA with 92 vehicles, Failure to Yield with 84 vehicles, and Drove off Road with 79 vehicles. These factors represent the primary driver actions leading to collisions.

Driver Contributing Factor

1
Unsafe Speed173 (28.8%)
2
Following too Close / ACDA92 (15.3%)
3
Failure to Yield84 (14%)
4
Drove off Road79 (13.2%)
5
Left of Center32 (5.3%)
6
Improper Backing22 (3.7%)
7
Other Improper Action19 (3.2%)
8
Improper Lane Change18 (3%)
9
Not Discernible17 (2.8%)

Showing top 9 of 21 reported. 12 additional (64 total) not shown: Improper Turn, Operating Defective Equipment, Swerving to Avoid, Improper Passing, Ran Stop Sign, Load shifting/Falling/Spilling, Ran Red Light, Vision Obstruction, Improper Crossing, Stopped or Parked Illegally, Opening Door into Roadway, Improper Start From a Parked Position.

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

Commercial / Truck Involvement

Crashes involving commercial trucks accounted for 41 incidents, or approximately 5.9% of all crashes in Hocking County. Of these, 17 involved a semi-tractor trailer, while the remaining 24 involved other types of commercial vehicles.

Vulnerable Road Users & Motorcycles

In 2021, there were 27 crashes involving motorcyclists or vulnerable road users. This included 20 crashes with motorcyclists and 7 crashes involving pedestrians. Combined, crashes involving pedestrians accounted for approximately 1% of all incidents in the county.

Animal-Involved Crashes

Collisions with animals were a notable factor, accounting for 82 crashes, or nearly 12% of the total in Hocking County. The vast majority of these incidents, 80 crashes, involved collisions with deer, highlighting a significant hazard in the region.

Impairment (Alcohol / Drugs)

Impairment was a factor in 36 crashes, representing 5.2% of all incidents. Of these, alcohol was suspected in 23 cases, drugs in 8 cases, and a combination of alcohol and drugs in 5 cases. These figures represent a baseline, as impairment may be under-reported in official crash records.

Driver Condition

Beyond normal driving, specific driver states were noted in a fraction of cases. A total of 31 drivers were recorded as being under the influence of medications, drugs, or alcohol. An additional 17 drivers were noted as having fallen asleep, fainted, or being fatigued at the time of their crash.

Driver Condition

1
Apparently Normal858 (90%)
2
Other/Unknown36 (3.8%)
3
Under the Influence of Medications / Drugs / Alcohol31 (3.3%)
4
Fell Asleep; Fainted; Fatigued; etc.17 (1.8%)
5
Emotional (E.G.; Depressed; Angry; Disturbed)5 (0.5%)
6
Physical Impairment4 (0.4%)
7
Illness2 (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

While most drivers were reported as not distracted, specific distractions were identified for 42 drivers. The most common issues were 'other distraction inside the vehicle' (17 drivers) and 'other distraction outside the vehicle' (16 drivers). Electronic device use was cited for 6 drivers.

Driver Distraction

1
Not Distracted869 (91.1%)
2
Other/Unknown43 (4.5%)
3
Other distraction inside the vehicle17 (1.8%)
4
Other distraction outside the vehicle16 (1.7%)
5
Other activity with an electronic device5 (0.5%)
6
Passenger3 (0.3%)
7
Talking on hand-held communication device1 (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

Roadway geometry played a role in a significant number of crashes. Collisions on curves accounted for 253 incidents, or 37% of the total, while crashes on grades (either straight or curved) occurred in 262 instances (38%). Crashes on straight, level road segments accounted for 323 incidents.

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 across Hocking County shows a concentration in a few key areas. The city of Logan recorded the most incidents with 202 crashes, followed by the townships of Falls (140) and Green (75). Together, these three jurisdictions accounted for over 60% of all crashes in the county.

Top Cities

1
Logan202 (29.3%)
2
Falls140 (20.3%)
3
Green75 (10.9%)
4
Good Hope66 (9.6%)
5
Washington33 (4.8%)
6
Ward31 (4.5%)
7
Benton29 (4.2%)
8
Marion28 (4.1%)
9
Starr24 (3.5%)

Showing top 9 of 14 reported. 5 additional (62 total) not shown: Laurel, Perry, Salt Creek, Murray City, Haydenville.

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 action by vehicles just prior to a crash was driving straight ahead, which was the case for 449 vehicles. The second most frequent pre-crash action was negotiating a curve, reported for 240 vehicles. A smaller but notable number of vehicles (94) were slowing or stopped in traffic before being involved in a collision.

Pre-Crash Driver Action

1
Straight Ahead449 (43.1%)
2
Negotiating a Curve240 (23.1%)
3
Slowing or Stopped In Traffic94 (9%)
4
Making Left Turn64 (6.1%)
5
Parked54 (5.2%)
6
Making Right Turn40 (3.8%)
7
Backing26 (2.5%)
8
Changing Lanes18 (1.7%)
9
Entering Traffic Lane17 (1.6%)

Showing top 9 of 19 reported. 10 additional (39 total) not shown: Other/Unknown, Overtaking/Passing, Leaving Traffic Lane, Driverless, Walking; Running; Jogging; Playing, Making U-Turn, Other Non-Motorist, Working, Standing Outside Disabled Vehicle, Approaching or Leaving Vehicle.

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

Manner of Collision

The dominant crash type in Hocking County was single-vehicle incidents, categorized as 'Not Collision Between Two Vehicles in Transport', which accounted for 393 crashes or 57% of the total. Among multi-vehicle crashes, rear-end collisions were the most frequent, with 97 incidents (14.1%), followed by angle collisions with 78 incidents (11.3%).

Manner of Collision

"Other" combines 2 smaller categories (20 records): Backing (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, accounting for 472 of the 1,041 total vehicles. Sport Utility Vehicles (245) and Pick-up trucks (182) were the next most frequent. Commercial vehicles, including single-unit trucks and semi-tractors, were involved in 37 instances.

Vehicle Type

"Other" combines 11 smaller categories (58 records): Unknown or Hit/Skip (17), Cargo Van (15), Pedestrian/Skater (7), Other Vehicle (6), All Terrain Vehicle (ATV/UTV) (3), Motorhome (3), Farm Equipment (2), Bus (16+ Passengers) (2), Moped or Motorized Bicycle (1), Heavy Equipment (1), Van (9-15 Seats) (1).

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

Person Type

Of the 1,356 people involved in crashes, the majority were drivers, accounting for 977 individuals or 72% of the total. Vehicle occupants (passengers) made up the next largest group with 372 individuals (27%). A small number of pedestrians were also involved, with 7 recorded in crash reports.

Person Type

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

Person Injury Severity

Across all 1,356 individuals involved in crashes, 1,081 people (80%) sustained no injuries. A total of 253 people were either injured or killed, representing nearly 19% of all participants. This includes 5 fatalities, 42 serious injuries, 127 minor injuries, and 79 possible 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

The majority of vehicle occupants, 1,049 individuals, were reported to be using a shoulder and lap belt at the time of their crash. However, 86 individuals were recorded as using no safety equipment. An additional 73 people used only a shoulder belt, and 9 used only a lap belt.

Occupant Safety Equipment

"Other" combines 2 smaller categories (20 records): Helmet Used (11), Lap Belt Only Used (9).

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

Single-vehicle crashes were the most common type of incident, accounting for 365 crashes, or 53% of the total. Two-vehicle collisions were also frequent, with 304 incidents. The data also includes two larger multi-vehicle incidents: one involving five vehicles and another involving six 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 6, 2026

Data Coverage

  • Reporting period: 2021-01-01 through 2021-12-31 (365 days)
  • Geographic scope: ohio, OH
  • Total crash records analyzed: 690
  • Total persons involved: 1,356
  • Total vehicles involved: 1,041

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 6, 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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Hocking County, OH Crash Report — 2021 | ThatCarHitMe.com