Yearly Traffic Safety Analysis

21 CRASHES IN
CHESHIRE, OH
2021

In 2021, Cheshire experienced 21 crashes, resulting in 0 fatalities and 9 injuries. A notable finding is that 16 crashes (76.2%) involved a single vehicle, indicating a high proportion of non-collision incidents.

21

Total Crash Events

0

Persons Killed

9

Persons Injured

4.8%

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

There was 1 hit-and-run crash in 2021, accounting for 4.8% of all crashes. Hit-and-run status is based on the responding officer's initial determination.

Vulnerable Road User Casualties

In 2021, 9 motorists sustained injuries in crashes in Cheshire. There were no reported fatalities among motorists, pedestrians, or cyclists. No pedestrians or cyclists were injured during this period.

0

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 Cheshire during 2021 peaked on Wednesday with 5 incidents and at 12 PM with 5 incidents. A majority of crashes, 12 out of 21, occurred during daylight hours, while 8 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, 13 crashes (61.9%) resulted in no injuries, indicating property damage only. Conversely, 8 crashes involved injuries, including 1 serious injury, 4 minor injuries, and 3 possible injuries. There were no fatal crashes reported in Cheshire during this period.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes4.8%
Minor Injury4minor injury crashes19%
Possible Injury3possible injury crashes14.3%
No Injury13no injury crashes61.9%

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: 15 (71.4%) in clear weather, 20 (95.2%) on dry road surfaces, and 12 (57.1%) during daylight. Adverse conditions such as rain, fog, or wet roads were present in a minority of incidents.

Weather

Clear15 (71.4%)
Cloudy4 (19.0%)
Fog; Smog; Smoke1 (4.8%)
Rain1 (4.8%)

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

Lighting

Daylight12 (57.1%)
Dark - Roadway Not Lighted8 (38.1%)
Dawn/Dusk1 (4.8%)

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

Road Surface

Dry20 (95.2%)
Wet1 (4.8%)

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

Vehicles & Demographics

Top Vehicle Makes (26 vehicles)

1
FORD8 (30.8%)
2
CHEVROLET5 (19.2%)
3
TOYOTA2 (7.7%)
4
GMC2 (7.7%)
5
JEEP2 (7.7%)
6
PONTIAC2 (7.7%)
7
LINCOLN1 (3.8%)
8
MAZDA1 (3.8%)
9
DODGE1 (3.8%)
10
NISSAN1 (3.8%)

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 (34 persons with recorded sex)

Male21 (61.8%)
Female13 (38.2%)

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)

Crashes were equally distributed between occurring on the roadway (10 incidents) and on the roadside (10 incidents). Overall, 11 crashes (52.4%) occurred off the main travel lanes, including those on the 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

The vast majority of vehicles involved in crashes, 25 out of 26 (96.2%), were at locations with no traffic control. Only 1 vehicle (3.8%) was involved in a crash at a location controlled by a stop sign.

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 contributing factors, 'Unsafe Speed' was noted for 5 drivers, followed by 'Drove off Road' for 4 drivers, and 'Following too Close / ACDA' for 3 drivers. These factors represent common improper actions contributing to crashes.

Driver Contributing Factor

1
Unsafe Speed5 (29.4%)
2
Drove off Road4 (23.5%)
3
Following too Close / ACDA3 (17.6%)
4
Not Discernible2 (11.8%)
5
Swerving to Avoid2 (11.8%)
6
Failure to Yield1 (5.9%)

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

Driver Condition

Two drivers (7.7%) were reported to be 'Under the Influence of Medications / Drugs / Alcohol' at the time of their crash. The remaining 24 drivers were noted as 'Apparently Normal'.

Driver Condition

1
Apparently Normal24 (92.3%)
2
Under the Influence of Medications / Drugs / Alcohol2 (7.7%)

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

One driver (3.8%) was noted as having 'Other distraction inside the vehicle' as a contributing factor. The majority of drivers, 24, were reported as 'Not Distracted'.

Driver Distraction

1
Not Distracted24 (92.3%)
2
Other distraction inside the vehicle1 (3.8%)
3
Other/Unknown1 (3.8%)

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 significant portion of crashes occurred on curves, with 9 incidents (42.9%) happening on either 'Curve Level' or 'Curve Grade' alignments. Additionally, 6 crashes (28.6%) took place on a grade, combining 'Straight Grade' and 'Curve Grade' locations.

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,' accounting for 16 incidents (61.5%). 'Negotiating a Curve' was the next most frequent action, involved in 7 incidents (26.9%).

Pre-Crash Driver Action

1
Straight Ahead16 (61.5%)
2
Negotiating a Curve7 (26.9%)
3
Slowing or Stopped In Traffic2 (7.7%)
4
Making Left Turn1 (3.8%)

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

Manner of Collision

The dominant crash pattern was 'Not Collision Between Two Vehicles in Transport,' which comprised 16 incidents (76.2%) of all crashes. Rear-end collisions were the next most common type, accounting for 3 incidents (14.3%).

Manner of Collision

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

Vehicle Type

Sport Utility Vehicles were the most frequently involved vehicle type, accounting for 10 vehicles. Pickups were also prominent, with 9 involved, meaning SUVs and Pickups together comprised 19 of the 26 vehicles.

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 majority of persons involved in crashes, with 26 individuals (76.5%). Occupants accounted for the remaining 8 persons (23.5%).

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 34 persons involved, 9 sustained injuries, comprising 1 serious, 5 minor, and 3 possible injuries. The majority of individuals, 25 (73.5%), did not sustain any 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

The majority of participants, 29 (85.3%), used 'Shoulder and Lap Belt'. However, 4 individuals (11.8%) were reported as using 'None Used' safety equipment.

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 16 incidents (76.2%) of all crashes. The remaining 5 crashes involved two 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: Cheshire, OH
  • Total crash records analyzed: 21
  • Total persons involved: 34
  • Total vehicles involved: 26

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). "Cheshire, 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/cheshire/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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Cheshire, OH Crash Report — 2021 | ThatCarHitMe.com