Yearly Traffic Safety Analysis

78 CRASHES IN
HARTVILLE, OH
2021

In 2021, Hartville, OH experienced 78 crashes, resulting in 0 fatalities and 23 injuries. The highest number of crashes occurred on Fridays and during the 5 PM hour.

78

Total Crash Events

0

Persons Killed

23

Persons Injured

1.3%

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 hit-and-run crash was reported in Hartville, OH during 2021, accounting for 1.3% of all crashes. This status is based on the initial determination made by the responding officer.

Vulnerable Road User Casualties

In Hartville, OH, there were no fatalities reported for pedestrians, cyclists, or motorists in 2021. However, 22 motorists sustained injuries, and one pedestrian was injured. No cyclists were reported injured during this period.

0

Pedestrians Killed

0

Motorists Killed

1

Pedestrians Injured

22

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 Hartville, OH most frequently occurred on Fridays, with 15 incidents reported. The peak hour for crashes was 5 PM, accounting for 10 incidents. The majority of crashes, 64 out of 78, took place during daylight hours, while 9 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 Hartville, OH, 59 crashes (75.6%) resulted in no injuries, categorized as property-damage-only. Injury crashes, encompassing serious, minor, and possible injuries, accounted for 19 incidents. There were no fatal crashes reported in 2021.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes1.3%
Minor Injury10minor injury crashes12.8%
Possible Injury8possible injury crashes10.3%
No Injury59no injury crashes75.6%

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

The majority of crashes in Hartville, OH occurred under favorable conditions, with 45 incidents (57.7%) in clear weather, 70 incidents (89.7%) on dry road surfaces, and 64 incidents (82.1%) during daylight. Conversely, 5 crashes occurred in rain or snow, and 8 crashes happened on wet, snowy, or slushy roads.

Weather

Clear45 (57.7%)
Cloudy28 (35.9%)
Rain3 (3.8%)
Snow2 (2.6%)

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

Lighting

Daylight64 (82.1%)
Dark - Lighted Roadway8 (10.3%)
Dawn/Dusk5 (6.4%)
Dark - Roadway Not Lighted1 (1.3%)

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

Road Surface

Dry70 (89.7%)
Wet5 (6.4%)
Snow2 (2.6%)
Slush1 (1.3%)

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

Vehicles & Demographics

Among persons involved in crashes, the 0-15 age group was most represented with 54 individuals, followed by the 65+ age group with 39 individuals. Ford vehicles were involved in 24 crashes, making them the most frequent specific make, followed by Chevrolet with 16 involvements.

Top Vehicle Makes (148 vehicles)

1
OTHER/UNKNOWN47 (31.8%)
2
FORD24 (16.2%)
3
CHEVROLET16 (10.8%)
4
TOYOTA9 (6.1%)
5
HONDA6 (4.1%)
6
SUBARU5 (3.4%)
7
NISSAN5 (3.4%)
8
DODGE5 (3.4%)
9
HYUNDAI5 (3.4%)
10
GMC4 (2.7%)

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

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

Sex Distribution (237 persons with recorded sex)

Female128 (54.0%)
Male109 (46.0%)

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, 73 out of 78, occurred directly on the roadway. A smaller proportion of crashes, 4 incidents (5.1%), occurred off the travel lanes, with 3 on the roadside and 1 in the median.

Crash Location (First Harmful Event)

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

Driver Contributing Factor

The most frequently cited contributing factor was "Following too Close / ACDA," accounting for 33 instances. "Failure to Yield" was cited in 15 instances, and "Improper Backing" in 7 instances. These three factors collectively represent a significant portion of reported improper actions by drivers.

Driver Contributing Factor

1
Following too Close / ACDA33 (43.4%)
2
Failure to Yield15 (19.7%)
3
Improper Backing7 (9.2%)
4
Drove off Road4 (5.3%)
5
Not Discernible3 (3.9%)
6
Ran Red Light3 (3.9%)
7
Unsafe Speed2 (2.6%)
8
Other Improper Action2 (2.6%)
9
Ran Stop Sign2 (2.6%)

Showing top 9 of 14 reported. 5 additional (5 total) not shown: Improper Turn, Improper Start From a Parked Position, Stopped or Parked Illegally, Improper Crossing, Swerving to Avoid.

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

Driver Condition

Six drivers were reported with abnormal conditions at the time of their crashes. Three drivers were identified as "Under the Influence of Medications / Drugs / Alcohol," and another three drivers were noted as having "Fell Asleep; Fainted; Fatigued; etc."

Driver Condition

1
Apparently Normal136 (94.4%)
2
Fell Asleep; Fainted; Fatigued; etc.3 (2.1%)
3
Under the Influence of Medications / Drugs / Alcohol3 (2.1%)
4
Other/Unknown2 (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

Eight drivers were reported as distracted at the time of their crashes. Three drivers were distracted by "Other distraction inside the vehicle," and another three by "Other distraction outside the vehicle." Additionally, one driver was manually operating an electronic communication device, and one was talking on a hands-free device.

Driver Distraction

1
Not Distracted134 (93.1%)
2
Other distraction inside the vehicle3 (2.1%)
3
Other distraction outside the vehicle3 (2.1%)
4
Other/Unknown2 (1.4%)
5
Manually operating an electronic communication device (texting; typing; dialing)1 (0.7%)
6
Talking on hands-free communication device1 (0.7%)

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 crashes, 63 out of 78, occurred on straight and level road alignments. Crashes on curves accounted for 6 incidents (7.7%), while 11 crashes (14.1%) occurred on road sections with a grade.

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

Prior to crashes, "Straight Ahead" was the most common pre-crash action, reported for 73 vehicles (49.3%). "Slowing or Stopped In Traffic" was the action for 33 vehicles (22.3%), while 19 vehicles (12.8%) were "Making Left Turn."

Pre-Crash Driver Action

1
Straight Ahead73 (49.3%)
2
Slowing or Stopped In Traffic33 (22.3%)
3
Making Left Turn19 (12.8%)
4
Backing9 (6.1%)
5
Making Right Turn4 (2.7%)
6
Parked3 (2%)
7
Negotiating a Curve2 (1.4%)
8
Entering Traffic Lane2 (1.4%)
9
Leaving Traffic Lane2 (1.4%)

Showing top 9 of 10 reported. 1 additional (1 total) not shown: Walking; Running; Jogging; Playing.

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 in Hartville, OH was "Rear-end," accounting for 36 crashes, or 46.2% of all incidents. "Angle" collisions were the second most frequent, with 23 crashes (29.5%).

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 81 vehicles. Sport Utility Vehicles were involved in 37 incidents, and pickup trucks in 20. Commercial vehicles, including cargo vans and buses, were involved in 3 incidents.

Vehicle Type

"Other" combines 2 smaller categories (2 records): Other Vehicle (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 largest group of persons involved in crashes, with 144 individuals (60.8%). Occupants accounted for 92 persons (38.8%), while one pedestrian was involved.

Person Type

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

Person Injury Severity

Out of 237 persons involved in crashes, 214 sustained no injuries. A total of 23 persons sustained injuries, with 1 person experiencing serious injuries, 13 minor injuries, and 9 possible injuries. No fatalities were reported among persons involved.

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 majority of individuals involved in crashes, 180 persons, used a shoulder and lap belt. However, 41 persons (17.4%) were reported as using no safety equipment. Child restraint systems were used by 8 children.

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 in Hartville, OH involved two vehicles, accounting for 70 incidents. Single-vehicle crashes represented 8 incidents, or 10.3% 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 5, 2026

Data Coverage

  • Reporting period: 2021-01-01 through 2021-12-31 (365 days)
  • Geographic scope: Hartville, OH
  • Total crash records analyzed: 78
  • Total persons involved: 237
  • Total vehicles involved: 148

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). "Hartville, 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/hartville/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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Hartville, OH Crash Report — 2021 | ThatCarHitMe.com