Yearly Traffic Safety Analysis

193 CRASHES IN
OHIO, OH
2021

In 2021, Vinton County recorded 193 motor vehicle crashes, resulting in 4 fatalities and 93 injuries. A significant majority of these incidents, 75.6% or 146 crashes, were single-vehicle events. These run-off-road or fixed-object collisions represent the most prominent crash pattern in the county.

193

Total Crash Events

4

Persons Killed

93

Persons Injured

4.7%

Hit-and-Run Rate

Note: "Persons Killed" (4) counts individual fatalities across all crash events. "Fatal" in the severity table below (4) 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

9

Hit-and-Run Crashes — 2021

There were 9 crashes classified as hit-and-run incidents in 2021, accounting for 4.7% of all crashes in Vinton County. This classification is based on the initial determination by the responding law enforcement officer at the scene.

Vulnerable Road User Casualties

All 4 fatalities and 93 injuries recorded in Vinton County in 2021 involved motorists. There were no pedestrians or cyclists killed or injured in traffic crashes during this period. The 4 motorist fatalities occurred across 4 separate crashes.

4

Motorists Killed

93

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 Vinton County occurred most frequently on Sundays, which saw 31 incidents over the year. The single busiest hour for crashes was the 3 p.m. hour, with 22 recorded events. While 101 crashes (52.3%) happened in daylight, a substantial number, 73 crashes, occurred in darkness 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

Over half of the crashes, 113 out of 193 (58.5%), resulted in no injuries. The remaining 41.5% involved at least a possible injury, with 10 crashes categorized as causing serious injuries. There were 4 fatal crashes, which resulted in a total of 4 fatalities.

Outcome by Severity (Crash Events)

Fatal4fatal crashes2.1%
Serious Injury10serious injury crashes5.2%
Minor Injury58minor injury crashes30.1%
Possible Injury8possible injury crashes4.1%
No Injury113no injury crashes58.5%

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 in favorable conditions, with 62.2% on clear days and 75.1% on dry road surfaces. However, adverse conditions were still a factor, as 21 crashes (10.9%) happened during rain and 39 (20.2%) occurred on wet roads. Crashes in darkness on unlighted roadways were also notable, accounting for 73 incidents (37.8%).

Weather

Clear120 (62.2%)
Cloudy43 (22.3%)
Rain21 (10.9%)
Snow3 (1.6%)
Fog; Smog; Smoke3 (1.6%)
Other/Unknown2 (1.0%)
Sleet; Hail1 (0.5%)

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

Lighting

Daylight101 (52.3%)
Dark - Roadway Not Lighted73 (37.8%)
Dawn/Dusk14 (7.3%)
Dark - Lighted Roadway4 (2.1%)
Other/Unknown1 (0.5%)

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

Road Surface

Dry145 (75.1%)
Wet39 (20.2%)
Snow4 (2.1%)
Sand; Mud; Dirt; Oil; Gravel3 (1.6%)
Ice2 (1.0%)

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

Vehicles & Demographics

Of the 327 individuals involved in crashes, the 26-34 age group was the most represented with 55 people, followed closely by the 16-20 age group with 49 people. Among the 241 vehicles involved, Ford was the most frequent make with 52 vehicles. Chevrolet (40 vehicles) and Toyota (21 vehicles) were the next most common makes.

Top Vehicle Makes (241 vehicles)

1
FORD52 (21.6%)
2
CHEVROLET40 (16.6%)
3
TOYOTA21 (8.7%)
4
JEEP14 (5.8%)
5
GMC13 (5.4%)
6
DODGE13 (5.4%)
7
HONDA12 (5%)
8
HYUNDAI8 (3.3%)
9
NISSAN6 (2.5%)
10
PONTIAC5 (2.1%)

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

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

Sex Distribution (319 persons with recorded sex)

Male191 (59.9%)
Female128 (40.1%)

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)

A significant portion of crashes involved vehicles leaving the travel lanes. In total, 88 crashes, or 45.6% of all incidents, had their first harmful event occur off the roadway. This includes 73 crashes on the roadside, 9 outside the trafficway, and 6 on the shoulder.

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 vast majority of vehicles involved in crashes were at locations with no traffic control devices. Of the 241 vehicles in crashes, 222 (92.1%) were at locations marked as 'No Control'. In contrast, only 16 vehicles were involved in crashes at stop signs and 2 at traffic signals.

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-attributed actions leading to crashes, 'Drove off Road' was the most cited factor, listed for 56 drivers. The second most common factor was 'Unsafe Speed', attributed to 34 drivers. 'Failure to Yield' was the third leading factor, noted for 15 drivers.

Driver Contributing Factor

1
Drove off Road56 (37.8%)
2
Unsafe Speed34 (23%)
3
Failure to Yield15 (10.1%)
4
Following too Close / ACDA9 (6.1%)
5
Left of Center8 (5.4%)
6
Improper Passing7 (4.7%)
7
Swerving to Avoid5 (3.4%)
8
Not Discernible3 (2%)
9
Other Improper Action2 (1.4%)

Showing top 9 of 15 reported. 6 additional (9 total) not shown: Improper Backing, Vision Obstruction, Operating Defective Equipment, Stopped or Parked Illegally, Ran Stop Sign, Improper Turn.

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

Commercial / Truck Involvement

Commercial trucks were involved in 12 crashes, representing 6.2% of the county's total. These incidents were evenly split between semi-tractor-trailers and other types of commercial vehicles, with 6 crashes involving each category.

Animal-Involved Crashes

Crashes involving animals were a frequent occurrence, accounting for 45 incidents or 23.3% of all crashes in the county. The overwhelming majority of these, 44 crashes, involved collisions with deer. Only one crash was attributed to another type of animal.

Impairment (Alcohol / Drugs)

Impaired driving was a factor in 17 crashes, constituting 8.8% of the total for the year. Of these, alcohol was suspected in 10 incidents and drugs were suspected in 7 incidents. These figures represent cases where impairment was noted by law enforcement.

Driver Condition

Beyond normal driving conditions, impairment and fatigue were the most noted driver states. Seventeen drivers were recorded as being under the influence of medications, drugs, or alcohol. An additional 8 drivers were noted as having fallen asleep, fainted, or been fatigued.

Driver Condition

1
Apparently Normal199 (84.7%)
2
Under the Influence of Medications / Drugs / Alcohol17 (7.2%)
3
Other/Unknown11 (4.7%)
4
Fell Asleep; Fainted; Fatigued; etc.8 (3.4%)

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 237 drivers involved in crashes, a specific distraction was identified for 17 of them. The most common noted distraction was an unspecified one inside the vehicle, which was cited for 9 drivers. Other identified distractions included those outside the vehicle (3 drivers) and activities with an electronic device (4 drivers).

Driver Distraction

1
Not Distracted202 (87.4%)
2
Other/Unknown12 (5.2%)
3
Other distraction inside the vehicle9 (3.9%)
4
Other distraction outside the vehicle3 (1.3%)
5
Other activity with an electronic device3 (1.3%)
6
Manually operating an electronic communication device (texting; typing; dialing)1 (0.4%)
7
Passenger1 (0.4%)

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

Road geometry played a role in a significant number of crashes, with 69 incidents (35.8%) occurring on curves. Road grade was also a factor, with 58 crashes (30.1%) happening on a grade, either straight or curved. Crashes on sections that were both curved and graded accounted for 33 of these 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 was led by Harrison township, which saw 32 incidents, or 16.6% of the county's total. Elk township followed with 29 crashes (15.0%), while Clinton and Richland townships each recorded 25 crashes (13.0%). These four areas collectively accounted for over half of all crashes in the county.

Top Cities

1
Harrison32 (16.6%)
2
Elk29 (15%)
3
Clinton25 (13%)
4
Richland25 (13%)
5
Wilkesville17 (8.8%)
6
Vinton16 (8.3%)
7
Swan13 (6.7%)
8
Madison9 (4.7%)
9
Mcarthur9 (4.7%)

Showing top 9 of 13 reported. 4 additional (18 total) not shown: Brown, Eagle, Hamden, Jackson.

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 the case for 125 of the 241 vehicles involved (51.9%). The second most frequent action was negotiating a curve, reported for 69 vehicles (28.6%). These two maneuvers account for over 80% of all vehicle actions prior to a crash.

Pre-Crash Driver Action

1
Straight Ahead125 (51.9%)
2
Negotiating a Curve69 (28.6%)
3
Making Left Turn16 (6.6%)
4
Slowing or Stopped In Traffic9 (3.7%)
5
Overtaking/Passing7 (2.9%)
6
Parked4 (1.7%)
7
Backing4 (1.7%)
8
Making Right Turn2 (0.8%)
9
Entering Traffic Lane2 (0.8%)

Showing top 9 of 12 reported. 3 additional (3 total) not shown: Changing Lanes, Leaving Traffic Lane, Other/Unknown.

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

Manner of Collision

The predominant crash type was single-vehicle incidents, classified as 'Not Collision Between Two Vehicles in Transport'. This category accounted for 146 of the 193 crashes, representing 75.6% of all events. The next most frequent type was angle collisions, which comprised just 9.8% of the total.

Manner of Collision

"Other" combines 1 smaller categories (2 records): Other/Unknown (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 98 units, followed by 61 pick-up trucks and 49 sport utility vehicles. Combined, these three categories represent 86% of all vehicles in crashes. Commercial vehicles, including semi-tractors and single-unit trucks, were involved in 14 incidents.

Vehicle Type

"Other" combines 6 smaller categories (8 records): All Terrain Vehicle (ATV/UTV) (2), Cargo Van (2), Other Vehicle (1), Heavy Equipment (1), Bus (16+ Passengers) (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 327 people involved in crashes, the majority were drivers, accounting for 237 individuals or 72.5% of the total. The remaining 90 people (27.5%) were vehicle occupants or passengers. No pedestrians or other non-motorists were recorded in the crash data for 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

Among the 327 people involved in crashes, 93 sustained some level of injury, and 4 suffered fatal injuries. This means that 29.7% of all individuals in crashes were either injured or killed. The largest group of injured persons sustained minor injuries (70 people), while 10 people had serious 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

Among 327 vehicle occupants, 39 individuals (11.9%) were recorded as not using any safety equipment at the time of their crash. Conversely, 249 people were noted as using a shoulder and lap belt. Additionally, 13 children were secured in various types of child restraint systems.

Occupant Safety Equipment

"Other" combines 2 smaller categories (4 records): Child Restraint System - Rear Facing (3), Shoulder Belt Only Used (1).

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 incident type by a large margin. Of the 193 total crashes, 146 (75.6%) involved only one vehicle. Two-vehicle collisions accounted for another 46 crashes (23.8%), and only one crash involved three 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 5, 2026

Data Coverage

  • Reporting period: 2021-01-01 through 2021-12-31 (365 days)
  • Geographic scope: ohio, OH
  • Total crash records analyzed: 193
  • Total persons involved: 327
  • Total vehicles involved: 241

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