Yearly Traffic Safety Analysis

62 CRASHES IN
CARROLL, OH
2021

In 2021, Carroll experienced 62 crashes, resulting in 1 fatality and 9 injuries. The most frequent crash type was 'Not Collision Between Two Vehicles in Transport', accounting for 79% of incidents.

62

Total Crash Events

1

Persons Killed

9

Persons Injured

3.2%

Hit-and-Run Rate

Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) 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

2

Hit-and-Run Crashes — 2021

There were 2 hit-and-run crashes in Carroll during 2021, representing 3.2% of all crashes. The determination of hit-and-run status is based on the initial assessment by the responding officer.

Vulnerable Road User Casualties

In 2021, there were no pedestrians or cyclists killed or injured in crashes. Motorists accounted for 1 fatality and 9 injuries.

1

Motorists Killed

9

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 Carroll during 2021 most frequently occurred on Fridays, with 12 incidents, and during the 6 AM hour, which saw 9 crashes. A majority of crashes, 37, occurred during daylight, dawn, or dusk conditions, while 25 crashes occurred in dark conditions.

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

In 2021, 85.5% of crashes in Carroll resulted in no injuries. Injury crashes, including serious, minor, and possible injuries, accounted for 12.9% of incidents. There was 1 fatal crash, which resulted in 1 fatality.

Outcome by Severity (Crash Events)

Fatal1fatal crashes1.6%
Serious Injury3serious injury crashes4.8%
Minor Injury4minor injury crashes6.5%
Possible Injury1possible injury crashes1.6%
No Injury53no injury crashes85.5%

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 under clear weather (38 incidents) and dry road surface conditions (51 incidents). Daylight was present in 27 crashes, while 25 crashes occurred in dark conditions. Adverse weather, such as rain or snow, was reported in 6 crashes, and wet or snowy road surfaces were present in 11 crashes.

Weather

Clear38 (61.3%)
Cloudy18 (29.0%)
Rain4 (6.5%)
Snow2 (3.2%)

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

Lighting

Daylight27 (43.5%)
Dark - Roadway Not Lighted23 (37.1%)
Dawn/Dusk10 (16.1%)
Dark - Lighted Roadway2 (3.2%)

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

Road Surface

Dry51 (82.3%)
Wet9 (14.5%)
Snow2 (3.2%)

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

Vehicles & Demographics

The 26-34 age group was the most represented among persons involved in crashes, with 18 individuals. Ford and Chevrolet vehicles were equally the most frequently involved makes, each appearing in 14 incidents. Dodge vehicles were the next most frequent, involved in 7 incidents.

Top Vehicle Makes (75 vehicles)

1
FORD14 (18.7%)
2
CHEVROLET14 (18.7%)
3
DODGE7 (9.3%)
4
JEEP6 (8%)
5
HONDA6 (8%)
6
TOYOTA4 (5.3%)
7
NISSAN3 (4%)
8
CHRYSLER2 (2.7%)
9
MAZDA2 (2.7%)
10
GMC2 (2.7%)

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

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

Sex Distribution (89 persons with recorded sex)

Male56 (62.9%)
Female33 (37.1%)

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, 44, occurred on the roadway itself. However, 18 crashes, representing 29% of all incidents, occurred off the travel lanes, specifically 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

Among vehicles involved in crashes, 'No Control' was the most frequent traffic control condition, associated with 67 vehicles. Vehicles at locations with stop signs accounted for 6, and those at locations with signals accounted for 2.

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 drivers involved in crashes, 'Drove off Road' was the most frequently cited contributing factor, associated with 13 drivers. 'Other Improper Action' was noted for 6 drivers, and 'Following too Close / ACDA' was a factor for 5 drivers.

Driver Contributing Factor

1
Drove off Road13 (39.4%)
2
Other Improper Action6 (18.2%)
3
Following too Close / ACDA5 (15.2%)
4
Left of Center3 (9.1%)
5
Failure to Yield3 (9.1%)
6
Improper Backing1 (3%)
7
Swerving to Avoid1 (3%)
8
Unsafe Speed1 (3%)

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

Driver Condition

Six drivers involved in crashes exhibited abnormal conditions, representing 8.1% of all drivers. Three drivers were reported as 'Under the Influence of Medications / Drugs / Alcohol', while 1 driver each was noted for 'Emotional' state, 'Fell Asleep; Fainted; Fatigued; etc.', or 'Physical Impairment'.

Driver Condition

1
Apparently Normal66 (89.2%)
2
Under the Influence of Medications / Drugs / Alcohol3 (4.1%)
3
Other/Unknown2 (2.7%)
4
Emotional (E.G.; Depressed; Angry; Disturbed)1 (1.4%)
5
Fell Asleep; Fainted; Fatigued; etc.1 (1.4%)
6
Physical Impairment1 (1.4%)

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

Two drivers were reported as distracted, representing 2.7% of all drivers. One driver was engaged in 'Other activity with an electronic device', and another experienced 'Other distraction inside the vehicle'.

Driver Distraction

1
Not Distracted68 (93.2%)
2
Other/Unknown3 (4.1%)
3
Other activity with an electronic device1 (1.4%)
4
Other distraction inside the vehicle1 (1.4%)

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

A majority of crashes, 54, occurred on 'Straight Level' road alignments. Crashes on curves accounted for 7 incidents (11.3% of total crashes), while crashes on grades accounted for 4 incidents (6.5% of total crashes).

Road Alignment

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 drivers was 'Straight Ahead', accounting for 58 instances (78.4% of drivers). 'Negotiating a Curve' was reported for 5 drivers, and 'Slowing or Stopped In Traffic' for 3 drivers.

Pre-Crash Driver Action

1
Straight Ahead58 (77.3%)
2
Negotiating a Curve5 (6.7%)
3
Slowing or Stopped In Traffic3 (4%)
4
Making Right Turn2 (2.7%)
5
Backing1 (1.3%)
6
Overtaking/Passing1 (1.3%)
7
Parked1 (1.3%)
8
Making U-Turn1 (1.3%)
9
Entering Traffic Lane1 (1.3%)

Showing top 9 of 11 reported. 2 additional (2 total) not shown: Leaving Traffic Lane, Making Left Turn.

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

Manner of Collision

The dominant collision pattern was 'Not Collision Between Two Vehicles in Transport', accounting for 49 crashes or 79% of all incidents. 'Angle' and 'Rear-end' collisions each occurred 4 times, representing 6.5% of crashes each.

Manner of Collision

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 dominant vehicle type involved in crashes, accounting for 34 vehicles. Sport Utility Vehicles were next with 19 vehicles. Trucks, vans, buses, and farm equipment collectively represented 18 vehicles, or 24% of all vehicles involved.

Vehicle Type

"Other" combines 3 smaller categories (3 records): Single Unit Truck (1), Farm Equipment (1), Bus (16+ Passengers) (1).

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

Person Type

Drivers constituted the dominant role among persons involved in crashes, with 74 individuals, representing 81.3% of all persons. Occupants accounted for 17 individuals, or 18.7% of persons. No pedestrians or cyclists were recorded.

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 persons involved in crashes, 1 individual sustained fatal injuries, representing 1.1% of persons. A total of 9 individuals sustained injuries ranging from serious to possible, accounting for 9.9% of all persons.

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 data indicates that 'Shoulder and Lap Belt Used' was reported for 79 individuals. A notable share of 4 individuals, representing 4.4% of persons, were reported to have used no safety equipment. Additionally, 2 individuals used child restraint systems.

Occupant Safety Equipment

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 predominant type, accounting for 49 incidents or 79% of all crashes. Two-vehicle crashes made up the remaining 13 incidents.

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: Carroll, OH
  • Total crash records analyzed: 62
  • Total persons involved: 91
  • Total vehicles involved: 75

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). "Carroll, 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/carroll/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, OH Crash Report — 2021 | ThatCarHitMe.com