Yearly Traffic Safety Analysis

52 CRASHES IN
CARROLLTON, OH
2021

In 2021, Carrollton recorded 52 traffic crashes, resulting in 0 fatalities and 8 injuries. A significant majority, 86.5%, of these crashes resulted in no injuries, indicating that most incidents were property-damage-only events.

52

Total Crash Events

0

Persons Killed

8

Persons Injured

1.9%

Hit-and-Run Rate

Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (0) 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

1

Hit-and-Run Crashes — 2021

One crash, representing 1.9% of all incidents, was classified as a hit-and-run. This classification is based on the responding officer's initial determination at the scene.

Vulnerable Road User Casualties

There were no fatalities reported for pedestrians, cyclists, or motorists in 2021. Eight motorists sustained injuries, comprising all reported injuries for the year.

0

Motorists Killed

8

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 13 incidents reported. The peak hour for crashes was 3 PM, accounting for 7 incidents. The majority of crashes, 39 (75%), occurred during daylight hours, while 13 crashes (25%) occurred in dark or low-light 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

Of the 52 crashes, 45 (86.5%) resulted in no injuries, categorized as property-damage-only incidents. Seven crashes (13.5%) involved injuries, with 3 minor injury crashes and 4 possible injury crashes. There were no fatal crashes reported in Carrollton during this period.

Outcome by Severity (Crash Events)

Minor Injury3minor injury crashes5.8%
Possible Injury4possible injury crashes7.7%
No Injury45no injury crashes86.5%

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

Most crashes occurred under clear weather conditions (39 crashes) and on dry road surfaces (44 crashes). Daylight was the predominant lighting condition, accounting for 39 crashes. Adverse conditions such as rain, sleet/hail, or snow contributed to 5 crashes, while wet or snowy road surfaces were present in 8 crashes.

Weather

Clear39 (75.0%)
Cloudy8 (15.4%)
Rain3 (5.8%)
Sleet; Hail1 (1.9%)
Snow1 (1.9%)

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

Lighting

Daylight39 (75.0%)
Dark - Lighted Roadway9 (17.3%)
Dark - Roadway Not Lighted2 (3.8%)
Dawn/Dusk2 (3.8%)

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

Road Surface

Dry44 (84.6%)
Wet7 (13.5%)
Snow1 (1.9%)

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

Vehicles & Demographics

Among the 121 persons involved in crashes, individuals aged 65 and older were the most represented group with 29 persons, followed by those aged 16-20 with 22 persons. Chevrolet vehicles were involved most frequently (25), followed by Ford (16) and Dodge (8). Passenger cars were the most common vehicle type, accounting for 45 vehicles involved.

Top Vehicle Makes (100 vehicles)

1
CHEVROLET25 (25%)
2
FORD16 (16%)
3
DODGE8 (8%)
4
HONDA6 (6%)
5
TOYOTA5 (5%)
6
SUBARU5 (5%)
7
HYUNDAI4 (4%)
8
BUICK4 (4%)
9
JEEP3 (3%)
10
GMC3 (3%)

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

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

Sex Distribution (121 persons with recorded sex)

Female61 (50.4%)
Male60 (49.6%)

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 majority of crashes, 47, occurred on the roadway itself. Four crashes occurred off the primary travel lanes, with 2 on the shoulder, 1 on the roadside, and 1 outside the trafficway, indicating a small proportion of run-off-road incidents.

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 majority of units involved in crashes, 70, occurred at locations with no traffic control. Locations with traffic signals accounted for 23 units, while stop signs were present for 5 units and roundabouts for 2 units.

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

Failure to Yield was the most common contributing factor, accounting for 15 units (30%). Following too Close / ACDA was cited for 11 units (22%), and Improper Backing for 8 units (16%). These three factors represent the primary improper actions leading to crashes.

Driver Contributing Factor

1
Failure to Yield15 (29.4%)
2
Following too Close / ACDA11 (21.6%)
3
Improper Backing8 (15.7%)
4
Improper Turn5 (9.8%)
5
Drove off Road3 (5.9%)
6
Left of Center3 (5.9%)
7
Improper Passing2 (3.9%)
8
Ran Stop Sign1 (2%)
9
Improper Lane Change1 (2%)

Showing top 9 of 11 reported. 2 additional (2 total) not shown: Improper Start From a Parked Position, Other Improper Action.

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

Driver Condition

Two drivers were reported with abnormal conditions at the time of their crashes. One driver was recorded as 'Fell Asleep; Fainted; Fatigued; etc.', and another was 'Under the Influence of Medications / Drugs / Alcohol'. These two conditions represent 2.1% of all drivers with a known condition.

Driver Condition

1
Apparently Normal92 (97.9%)
2
Fell Asleep; Fainted; Fatigued; etc.1 (1.1%)
3
Under the Influence of Medications / Drugs / Alcohol1 (1.1%)

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

Driver distraction was noted in 9 instances, excluding 'Not Distracted' or 'Other/Unknown' categories. Six instances involved 'Other distraction inside the vehicle', while 3 instances were attributed to 'Other distraction outside the vehicle'.

Driver Distraction

1
Not Distracted78 (83%)
2
Other/Unknown7 (7.4%)
3
Other distraction inside the vehicle6 (6.4%)
4
Other distraction outside the vehicle3 (3.2%)

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

The majority of units involved in crashes occurred on straight road alignments, with 24 on Straight Level and 22 on Straight Grade sections. Six units (11.5%) were involved on Curve Grade alignments, and a total of 28 units (53.8%) occurred on graded sections of roadway.

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 frequent pre-crash action was 'Straight Ahead', accounting for 43 units. 'Slowing or Stopped In Traffic' was the second most common action with 17 units, followed by 'Backing' and 'Making Left Turn', each with 11 units.

Pre-Crash Driver Action

1
Straight Ahead43 (43%)
2
Slowing or Stopped In Traffic17 (17%)
3
Backing11 (11%)
4
Making Left Turn11 (11%)
5
Making Right Turn8 (8%)
6
Parked4 (4%)
7
Entering Traffic Lane4 (4%)
8
Negotiating a Curve1 (1%)
9
Driverless1 (1%)

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

Manner of Collision

The most dominant manner of collision was 'Angle', accounting for 14 crashes (26.9%). 'Rear-end' collisions were the second most frequent, with 10 incidents (19.2%), followed by 'Backing' collisions with 9 incidents (17.3%).

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 frequently involved vehicle type, accounting for 45 vehicles. Pickups were involved in 26 incidents, and Sport Utility Vehicles in 23 incidents. Additionally, 4 Semi-Tractors and 1 Single Unit Truck were involved in crashes.

Vehicle Type

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

Person Type

Drivers constituted the largest group of individuals involved in crashes, with 95 persons. Occupants accounted for 26 persons, making up the remaining individuals recorded in the crash data.

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 121 persons involved in crashes, there were no fatalities. Eight persons sustained injuries, with 4 categorized as minor injuries and 4 as possible injuries, collectively representing 6.6% of all individuals.

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 vast majority of individuals, 113, were reported to be using shoulder and lap belts. Only 1 person was recorded as using no safety equipment, representing less than 1% of those with known equipment use.

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

The majority of crashes, 46 out of 52, involved two vehicles. Single-vehicle crashes accounted for 5 incidents (9.6%), and 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 6, 2026

Data Coverage

  • Reporting period: 2021-01-01 through 2021-12-31 (365 days)
  • Geographic scope: Carrollton, OH
  • Total crash records analyzed: 52
  • Total persons involved: 121
  • Total vehicles involved: 100

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). "Carrollton, 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/carrollton/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

ThatCarHitMe.com · An Injuria.ai Company

Carrollton, OH Crash Report — 2021 | ThatCarHitMe.com