Yearly Traffic Safety Analysis

345 CRASHES IN
OHIO, OH
2021

In 2021, Carroll County recorded 345 traffic crashes, resulting in 4 fatalities and 116 injuries. A notable finding from the data is that a majority of these incidents, 193 crashes or 55.9%, were single-vehicle events rather than collisions between multiple vehicles in transport.

345

Total Crash Events

4

Persons Killed

116

Persons Injured

6.4%

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

22

Hit-and-Run Crashes — 2021

A total of 22 hit-and-run crashes were reported, accounting for 6.4% of all incidents in this period. This designation is based on the initial determination made by the responding law enforcement officer at the scene of the crash.

Vulnerable Road User Casualties

All 4 fatalities and all 116 injuries recorded in Carroll County during 2021 were sustained by motorists. No fatalities or injuries were reported for pedestrians or bicyclists in this dataset for the period.

4

Motorists Killed

116

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 occurred most frequently on Thursdays, with 66 incidents recorded. The single busiest hour was 11 a.m., which saw 28 crashes. Overall, collisions were concentrated during daylight hours, with 216 crashes (62.6%) happening in the daytime, and spikes were evident during morning and afternoon commute periods.

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, 247 incidents or 71.6%, resulted in no injuries and were classified as property-damage-only. Collisions involving injuries accounted for 94 crashes, while 4 crashes were fatal. These 4 fatal crashes resulted in a total of 4 fatalities, as a single crash can involve one or more persons killed.

Outcome by Severity (Crash Events)

Fatal4fatal crashes1.2%
Serious Injury12serious injury crashes3.5%
Minor Injury59minor injury crashes17.1%
Possible Injury23possible injury crashes6.7%
No Injury247no injury crashes71.6%

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 favorable conditions, with 64.6% (223) happening in clear weather and 74.2% (256) on dry road surfaces. Crashes during daylight hours accounted for 216 incidents (62.6%). For comparison, rain was a factor in 31 crashes, and wet roads were present in 55 incidents.

Weather

Clear223 (64.6%)
Cloudy58 (16.8%)
Rain31 (9.0%)
Snow23 (6.7%)
Other/Unknown6 (1.7%)
Freezing Rain or Freezing Drizzle1 (0.3%)
Severe Crosswinds1 (0.3%)
Sleet; Hail1 (0.3%)
Fog; Smog; Smoke1 (0.3%)

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

Lighting

Daylight216 (62.6%)
Dark - Roadway Not Lighted83 (24.1%)
Dark - Lighted Roadway21 (6.1%)
Dawn/Dusk19 (5.5%)
Other/Unknown4 (1.2%)
Dark - Unknown Roadway Lighting2 (0.6%)

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

Road Surface

Dry256 (74.2%)
Wet55 (15.9%)
Snow18 (5.2%)
Ice6 (1.7%)
Other/Unknown5 (1.4%)
Slush5 (1.4%)

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

Vehicles & Demographics

Among the 639 people involved in crashes, the 26-34 age group was the most represented with 97 individuals, followed closely by the 16-20 age group with 93 individuals. The most frequent vehicle makes involved in collisions were Ford (111 vehicles), Chevrolet (95 vehicles), and Dodge (34 vehicles).

Top Vehicle Makes (508 vehicles)

1
FORD111 (21.9%)
2
CHEVROLET95 (18.7%)
3
DODGE34 (6.7%)
4
HONDA25 (4.9%)
5
GMC25 (4.9%)
6
JEEP22 (4.3%)
7
KIA19 (3.7%)
8
TOYOTA19 (3.7%)
9
SUBARU15 (3%)
10
BUICK12 (2.4%)

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

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

Sex Distribution (628 persons with recorded sex)

Male390 (62.1%)
Female238 (37.9%)

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)

While 215 crashes had their first harmful event on the roadway, a significant number were run-off-road incidents. A total of 128 crashes, or 37.1% of the total, occurred off the primary travel lanes, with the first impact happening on the roadside (61), shoulder (38), or outside the trafficway (29).

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 present, accounting for 424 of 507 units with data. For comparison, crashes at locations with traffic signals involved 42 vehicles, and those at intersections with stop signs involved 35 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

The most frequently cited contributing actions by drivers were driving off the road (72 units), failure to yield (53 units), and following too closely (43 units). Combined, these three improper actions were attributed to vehicles in over half of the instances where a factor was determined.

Driver Contributing Factor

1
Drove off Road72 (23.2%)
2
Failure to Yield53 (17%)
3
Following too Close / ACDA43 (13.8%)
4
Unsafe Speed28 (9%)
5
Other Improper Action28 (9%)
6
Left of Center18 (5.8%)
7
Swerving to Avoid16 (5.1%)
8
Improper Backing14 (4.5%)
9
Improper Turn11 (3.5%)

Showing top 9 of 18 reported. 9 additional (28 total) not shown: Not Discernible, Improper Passing, Vision Obstruction, Ran Stop Sign, Load shifting/Falling/Spilling, Operating Defective Equipment, Lying in Roadway, 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 51 commercial vehicles were involved in crashes during this period, representing approximately 10% of all vehicles in collisions. These included 25 semi-tractor trailers and 26 other types of commercial vehicles, such as single-unit trucks or cargo vans.

Vulnerable Road Users & Motorcycles

During this period, crashes involved 13 motorcyclists and one pedestrian. No crashes involving bicyclists were recorded. These incidents highlight the risks faced by non-motorist road users and motorcyclists.

Animal-Involved Crashes

Crashes involving animals accounted for 21 incidents, or 6.1% of the county's total. The vast majority of these collisions, 19 crashes, were strikes involving deer, a common hazard in the region.

Impairment (Alcohol / Drugs)

Impairment was identified as a factor in 31 crashes, which constitutes 9% of all incidents. Alcohol was the primary substance in 25 of these cases, with drugs suspected in 4 cases and a combination of alcohol and drugs in 2 cases.

Driver Condition

Beyond impairment, other driver conditions were noted in 42 instances. These included 11 drivers who fell asleep, fainted, or were fatigued, and 24 drivers who were determined to be under the influence of medications, drugs, or alcohol.

Driver Condition

1
Apparently Normal419 (85.7%)
2
Other/Unknown28 (5.7%)
3
Under the Influence of Medications / Drugs / Alcohol24 (4.9%)
4
Fell Asleep; Fainted; Fatigued; etc.11 (2.2%)
5
Emotional (E.G.; Depressed; Angry; Disturbed)3 (0.6%)
6
Physical Impairment3 (0.6%)
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 drivers for whom distraction information was available, 34 were noted as being distracted. The most common sources were unspecified distractions inside the vehicle (17 drivers) or outside the vehicle (12 drivers). One driver was recorded for manually operating an electronic communication device.

Driver Distraction

1
Not Distracted360 (73.8%)
2
Other/Unknown94 (19.3%)
3
Other distraction inside the vehicle17 (3.5%)
4
Other distraction outside the vehicle12 (2.5%)
5
Other activity with an electronic device2 (0.4%)
6
Passenger2 (0.4%)
7
Manually operating an electronic communication device (texting; typing; dialing)1 (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

Road geometry was a significant feature of crash locations, with 247 incidents (71.6%) occurring on a grade. Additionally, 133 crashes (38.6%) happened on a curve, indicating that sloped and curved roadways were common sites for collisions.

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 most concentrated in the townships of Brown, with 53 incidents, and Carrollton, with 52 incidents. Together, these two areas accounted for just over 30% of the county's total crashes. Harrison township had the third-highest volume with 35 crashes.

Top Cities

1
Brown53 (15.4%)
2
Carrollton52 (15.1%)
3
Harrison35 (10.1%)
4
Monroe32 (9.3%)
5
Augusta24 (7%)
6
Minerva23 (6.7%)
7
Center20 (5.8%)
8
Lee18 (5.2%)
9
Washington15 (4.3%)

Showing top 9 of 19 reported. 10 additional (73 total) not shown: Rose, Orange, Loudon, Union, Fox, East, Perry, Malvern, Sherrodsville, Magnolia.

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 vehicle action immediately prior to a collision was driving straight ahead, which was reported for 274 vehicles (53.9%). The next most frequent actions were negotiating a curve (67 vehicles) and slowing or stopping in traffic (50 vehicles).

Pre-Crash Driver Action

1
Straight Ahead274 (53.9%)
2
Negotiating a Curve67 (13.2%)
3
Slowing or Stopped In Traffic50 (9.8%)
4
Making Left Turn38 (7.5%)
5
Backing18 (3.5%)
6
Making Right Turn16 (3.1%)
7
Entering Traffic Lane15 (3%)
8
Parked11 (2.2%)
9
Other/Unknown6 (1.2%)

Showing top 9 of 14 reported. 5 additional (13 total) not shown: Overtaking/Passing, Leaving Traffic Lane, Making U-Turn, Driverless, Working.

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

Manner of Collision

Single-vehicle crashes were the predominant collision type, accounting for 193 incidents or 55.9% of the total. Among crashes involving more than one vehicle, angle collisions were the most common pattern, with 57 incidents recorded.

Manner of Collision

"Other" combines 2 smaller categories (2 records): Rear-to-rear (1), Other/Unknown (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, with 198 units. However, light trucks, including 118 pickups and 115 sport utility vehicles, collectively represented a larger share of the 508 vehicles involved in collisions.

Vehicle Type

"Other" combines 8 smaller categories (19 records): Passenger Van (minivan) (8), Other Vehicle (3), Unknown or Hit/Skip (2), Bus (16+ Passengers) (2), Pedestrian/Skater (1), Heavy Equipment (1), Train (1), All Terrain Vehicle (ATV/UTV) (1).

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

Person Type

Of the 639 individuals involved in traffic crashes, the majority were drivers, accounting for 494 people or 77.3% of the total. Passengers made up the next largest group with 143 individuals (22.4%), while two people were recorded as pedestrians.

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 all 639 people involved in crashes, 80.6% (515 individuals) were not injured. A total of 116 people sustained some level of injury, from possible to serious, while 4 individuals, representing 0.6% of all persons involved, suffered fatal 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

Safety belt usage was high, with 492 occupants reported as using a shoulder and lap belt. However, 58 individuals, or 9.1% of those with available data, were recorded as using no safety equipment at the time of their crash.

Occupant Safety Equipment

"Other" combines 1 smaller categories (2 records): Booster Seat (2).

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 frequent type of incident, with 188 crashes representing 54.5% of the total. Two-vehicle collisions were also common, accounting for 152 crashes (44.1%), while incidents involving three or more vehicles were rare.

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: 345
  • Total persons involved: 639
  • Total vehicles involved: 508

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