Yearly Traffic Safety Analysis

485 CRASHES IN
BARBERTON, OH
2021

In 2021, Barberton experienced a total of 485 crashes, resulting in 1 fatality and 155 injuries. The majority of these incidents, 76.9%, were classified as 'No Injury' crashes. This indicates that while crashes are frequent, most do not lead to physical harm.

485

Total Crash Events

1

Persons Killed

155

Persons Injured

19.6%

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

95

Hit-and-Run Crashes — 2021

There were 95 hit-and-run crashes in Barberton during 2021, accounting for 19.6% of all incidents. This status is based on the initial determination by the responding officer.

Vulnerable Road User Casualties

In 2021, 1 motorist was killed and 152 motorists were injured in crashes. Additionally, 3 pedestrians were injured, while no pedestrians or cyclists were killed. No cyclists were reported as injured.

0

Pedestrians Killed

1

Motorists Killed

3

Pedestrians Injured

152

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 Barberton peaked on Thursdays with 83 incidents, and the peak hour for crashes was 3 PM, recording 48 incidents. A significant portion of crashes, 67.2%, occurred during daylight hours, while 25.8% happened 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

Out of 485 crashes, 76.9% resulted in no injuries, totaling 373 incidents. Injury crashes, encompassing serious, minor, and possible injuries, accounted for 111 incidents, or 22.9% of all crashes. There was 1 fatal crash, which resulted in 1 fatality.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.2%
Serious Injury9serious injury crashes1.9%
Minor Injury54minor injury crashes11.1%
Possible Injury48possible injury crashes9.9%
No Injury373no injury crashes76.9%

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 favorable conditions, with 69.3% happening in clear weather, 82.9% on dry road surfaces, and 67.2% during daylight. Adverse conditions such as rain, snow, or fog contributed to 55 crashes, while wet, snowy, or icy roads were present in 83 crashes, and 125 crashes occurred in darkness.

Weather

Clear336 (69.3%)
Cloudy92 (19.0%)
Rain36 (7.4%)
Snow15 (3.1%)
Fog; Smog; Smoke4 (0.8%)
Other/Unknown1 (0.2%)
Sleet; Hail1 (0.2%)

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

Lighting

Daylight326 (67.2%)
Dark - Lighted Roadway107 (22.1%)
Dawn/Dusk30 (6.2%)
Dark - Roadway Not Lighted16 (3.3%)
Other/Unknown4 (0.8%)
Dark - Unknown Roadway Lighting2 (0.4%)

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

Road Surface

Dry402 (82.9%)
Wet69 (14.2%)
Snow13 (2.7%)
Ice1 (0.2%)

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

Vehicles & Demographics

The age group 35-44 was most represented among persons involved in crashes with 177 individuals, followed by the 26-34 age group with 168 individuals. Chevrolet vehicles were most frequently involved in crashes, with 148 incidents, followed by Ford with 136 incidents.

Top Vehicle Makes (922 vehicles)

1
CHEVROLET148 (16.1%)
2
FORD136 (14.8%)
3
DODGE70 (7.6%)
4
TOYOTA61 (6.6%)
5
HONDA58 (6.3%)
6
KIA48 (5.2%)
7
HYUNDAI42 (4.6%)
8
JEEP40 (4.3%)
9
NISSAN40 (4.3%)
10
OTHER/UNKNOWN33 (3.6%)

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

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

Sex Distribution (1,126 persons with recorded sex)

Male604 (53.6%)
Female522 (46.4%)

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)

Of all crashes, 433 occurred on the roadway. A total of 42 crashes, representing 8.7% of all incidents, occurred off the travel lanes, specifically on the roadside (21), outside the trafficway (16), or on the shoulder (5).

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 most common traffic control condition reported was 'No Control' with 609 instances. Traffic signals were present in 219 instances, while stop signs were noted in 83 instances.

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 frequent contributing factor reported was 'Following too Close / ACDA' with 131 instances, representing 27.5% of identified factors. 'Failure to Yield' was the second most common with 62 instances (13.0%), followed by 'Other Improper Action' with 56 instances (11.8%).

Driver Contributing Factor

1
Following too Close / ACDA131 (26.8%)
2
Failure to Yield62 (12.7%)
3
Other Improper Action56 (11.5%)
4
Drove off Road45 (9.2%)
5
Improper Turn45 (9.2%)
6
Improper Lane Change37 (7.6%)
7
Improper Backing29 (5.9%)
8
Left of Center20 (4.1%)
9
Ran Stop Sign17 (3.5%)

Showing top 9 of 19 reported. 10 additional (46 total) not shown: Not Discernible, Swerving to Avoid, Ran Red Light, Improper Passing, Unsafe Speed, Improper Start From a Parked Position, Operating Defective Equipment, Opening Door into Roadway, Load shifting/Falling/Spilling, Wrong Way.

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

Vulnerable Road Users & Motorcycles

A total of 12 crashes involved vulnerable road users, representing 2.5% of all crashes. Specifically, 5 crashes involved pedestrians or bicyclists, accounting for 1.0% of all crashes, while 7 crashes involved motorcyclists.

Impairment (Alcohol / Drugs)

There were 12 impaired-driving crashes reported, making up 2.5% of all crashes. Alcohol was a factor in 11 of these incidents, and drugs were a factor in 1 incident.

Driver Condition

Among drivers involved in crashes, 21 were reported as being 'Under the Influence of Medications / Drugs / Alcohol'. Additionally, 7 drivers had a 'Physical Impairment', and 1 driver was noted as 'Emotional', with another 1 driver having 'Fell Asleep; Fainted; Fatigued; etc.'.

Driver Condition

1
Apparently Normal771 (93.1%)
2
Other/Unknown27 (3.3%)
3
Under the Influence of Medications / Drugs / Alcohol21 (2.5%)
4
Physical Impairment7 (0.8%)
5
Emotional (E.G.; Depressed; Angry; Disturbed)1 (0.1%)
6
Fell Asleep; Fainted; Fatigued; etc.1 (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

Driver Distraction

Driver distraction was noted in 21 instances, with 'Other distraction inside the vehicle' being the most frequent at 6 instances. 'Other activity with an electronic device' was reported 5 times, and 'Manually operating an electronic communication device' was reported 4 times.

Driver Distraction

1
Not Distracted776 (94.2%)
2
Other/Unknown27 (3.3%)
3
Other distraction inside the vehicle6 (0.7%)
4
Other activity with an electronic device5 (0.6%)
5
Manually operating an electronic communication device (texting; typing; dialing)4 (0.5%)
6
Other distraction outside the vehicle3 (0.4%)
7
Talking on hand-held communication device2 (0.2%)
8
Passenger1 (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

Approximately 5.6% of crashes (27 incidents) occurred on curves, while 24.9% of crashes (121 incidents) happened on grades. The majority of crashes, 357 incidents, occurred on straight, level road alignments.

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 was 'Straight Ahead' with 489 instances, representing 54.0% of identified actions. 'Slowing or Stopped In Traffic' accounted for 100 instances (11.0%), and 'Making Left Turn' was reported 98 times (10.8%).

Pre-Crash Driver Action

1
Straight Ahead489 (53%)
2
Slowing or Stopped In Traffic100 (10.8%)
3
Making Left Turn98 (10.6%)
4
Parked57 (6.2%)
5
Making Right Turn46 (5%)
6
Changing Lanes38 (4.1%)
7
Backing33 (3.6%)
8
Leaving Traffic Lane17 (1.8%)
9
Other/Unknown17 (1.8%)

Showing top 9 of 15 reported. 6 additional (27 total) not shown: Entering Traffic Lane, Overtaking/Passing, Walking; Running; Jogging; Playing, Negotiating a Curve, Driverless, Making U-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 manner of collision was 'Angle' with 146 incidents, accounting for 30.1% of all crashes. 'Rear-end' collisions were also frequent, totaling 133 incidents or 27.4%, while 'Not Collision Between Two Vehicles in Transport' represented 101 incidents or 20.8%.

Manner of Collision

"Other" combines 2 smaller categories (7 records): Sideswipe; opposite direction (6), Rear-to-rear (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, accounting for 436 vehicles. Trucks, buses, and commercial vehicles collectively comprised 51 vehicles involved in crashes, representing 5.5% of all vehicles.

Vehicle Type

"Other" combines 8 smaller categories (46 records): Semi-Tractor (11), Bus (16+ Passengers) (9), Other Vehicle (8), Motorcycle 2 Wheeled (7), Pedestrian/Skater (4), Van (9-15 Seats) (3), Heavy Equipment (2), Bicycle (2).

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 persons involved in crashes, with 859 individuals, or 73.6% of all persons. Occupants (passengers) accounted for 304 individuals (26.1%), and pedestrians for 4 individuals (0.3%).

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, 155 individuals sustained injuries (A, B, or C severity), representing 13.6% of persons with recorded severity. There was 1 fatal injury, accounting for 0.09% of persons with recorded severity.

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 was not used by 55 participants, representing 5.1% of those with identified safety equipment use. The majority, 977 participants, used a shoulder and lap belt.

Occupant Safety Equipment

"Other" combines 2 smaller categories (7 records): Booster Seat (4), Helmet Used (3).

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, 396 incidents (81.6%), involved two vehicles. Single-vehicle crashes accounted for 69 incidents, or 14.2% of the total. Multi-vehicle crashes involving three or more vehicles occurred in 20 incidents, representing 4.1% of all crashes.

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: Barberton, OH
  • Total crash records analyzed: 485
  • Total persons involved: 1,167
  • Total vehicles involved: 922

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). "Barberton, 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/barberton/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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Barberton, OH Crash Report — 2021 | ThatCarHitMe.com