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Yearly Traffic Safety Analysis

75 CRASHES IN
CLYDE, OH
2021

In 2021, Clyde experienced 75 crashes, resulting in 0 fatalities and 17 injuries. A significant majority of these crashes, 80%, involved no injuries. Angle collisions and rear-end incidents were the most common types of crashes during this period.

75

Total Crash Events

0

Persons Killed

17

Persons Injured

6.7%

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

5

Hit-and-Run Crashes — 2021

In 2021, 5 crashes, representing 6.7% of all incidents, were classified as hit-and-run. This classification is based on the initial determination by the responding officer at the scene of the crash.

Vulnerable Road User Casualties

In 2021, no fatalities were recorded for pedestrians, cyclists, or motorists in Clyde. Motorists accounted for the highest number of injuries, with 16 individuals injured. One pedestrian was also injured during this period, while no cyclists sustained injuries.

0

Pedestrians Killed

0

Motorists Killed

1

Pedestrians Injured

16

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 Clyde during 2021 peaked on Wednesdays, with 18 incidents recorded, and at 12 PM, with 9 crashes. A substantial majority of crashes, 54, occurred during daylight hours, while 12 crashes 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

In 2021, 80% of crashes in Clyde, totaling 60 incidents, resulted in no injuries. The remaining 20% of crashes involved injuries, with 8 minor injuries and 7 possible injuries reported. There were no fatal crashes and no fatalities recorded during this period.

Outcome by Severity (Crash Events)

Minor Injury8minor injury crashes10.7%
Possible Injury7possible injury crashes9.3%
No Injury60no injury crashes80%

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 2021 occurred under optimal conditions, with 52 incidents happening in clear weather, 60 on dry road surfaces, and 54 during daylight. Adverse weather conditions, including rain and snow, contributed to 6 crashes, while 15 crashes occurred on wet, icy, or snowy road surfaces.

Weather

Clear52 (69.3%)
Cloudy16 (21.3%)
Rain4 (5.3%)
Snow2 (2.7%)
Other/Unknown1 (1.3%)

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

Lighting

Daylight54 (72.0%)
Dark - Lighted Roadway10 (13.3%)
Dawn/Dusk9 (12.0%)
Dark - Roadway Not Lighted2 (2.7%)

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

Road Surface

Dry60 (80.0%)
Wet9 (12.0%)
Ice3 (4.0%)
Snow3 (4.0%)

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

Vehicles & Demographics

Among all persons involved in crashes, the 0-15 age group was most represented, with 47 individuals. Passenger cars were the most frequently involved vehicle type, accounting for 63 incidents, followed by pick-up trucks with 30. Ford vehicles were involved in the highest number of crashes, totaling 38, with Chevrolet ranking second at 27.

Top Vehicle Makes (144 vehicles)

1
FORD38 (26.4%)
2
CHEVROLET27 (18.8%)
3
DODGE14 (9.7%)
4
CHRYSLER10 (6.9%)
5
GMC7 (4.9%)
6
TOYOTA6 (4.2%)
7
JEEP5 (3.5%)
8
NISSAN5 (3.5%)
9
HONDA4 (2.8%)
10
HYUNDAI4 (2.8%)

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 (208 persons with recorded sex)

Male121 (58.2%)
Female87 (41.8%)

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, 70 out of 75, occurred on the roadway in 2021. Five crashes, representing 6.7% of the total, happened on the shoulder, indicating incidents where vehicles left the primary travel lanes.

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 the vehicles involved in crashes, 77 were at locations with no traffic control present. 52 vehicles were involved in crashes at signalized intersections, while 14 were at locations with stop signs. This indicates that a significant portion of crashes occurred at uncontrolled locations.

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 and Following too Close / ACDA were the most common contributing factors, accounting for 23 and 21 instances respectively. Drove off Road was also noted in 6 cases. These factors highlight common driver actions contributing to crashes.

Driver Contributing Factor

1
Failure to Yield23 (33.8%)
2
Following too Close / ACDA21 (30.9%)
3
Drove off Road6 (8.8%)
4
Ran Stop Sign5 (7.4%)
5
Improper Lane Change4 (5.9%)
6
Improper Backing3 (4.4%)
7
Other Improper Action2 (2.9%)
8
Ran Red Light2 (2.9%)
9
Wrong Way1 (1.5%)

Showing top 9 of 10 reported. 1 additional (1 total) not shown: Improper Turn.

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

Driver Condition

Among drivers involved in crashes, 2 were reported as being under the influence of medications, drugs, or alcohol. Additionally, 1 driver was noted as having fallen asleep, fainted, or being fatigued, and another 1 due to illness. These conditions represent 4 instances of abnormal driver states.

Driver Condition

1
Apparently Normal134 (96.4%)
2
Under the Influence of Medications / Drugs / Alcohol2 (1.4%)
3
Fell Asleep; Fainted; Fatigued; etc.1 (0.7%)
4
Illness1 (0.7%)
5
Other/Unknown1 (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

Driver Distraction

Driver distraction was a factor in 7 reported instances. This included 2 drivers manually operating electronic communication devices, 2 with other distractions inside the vehicle, and 2 with other distractions outside the vehicle. One driver was also engaged in another activity with an electronic device.

Driver Distraction

1
Not Distracted128 (92.1%)
2
Other/Unknown4 (2.9%)
3
Manually operating an electronic communication device (texting; typing; dialing)2 (1.4%)
4
Other distraction inside the vehicle2 (1.4%)
5
Other distraction outside the vehicle2 (1.4%)
6
Other activity with an electronic 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, 70, occurred on straight and level road alignments. One crash occurred on a curve with a grade, and another 1 on a straight road with a grade. Crashes on curves represented 1.3% of the total, while those on grades accounted for 2.7%.

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 reported was 'Straight Ahead', accounting for 76 instances. 'Making Left Turn' was the second most common, with 30 instances, followed by 'Slowing or Stopped In Traffic' in 17 cases. These actions represent common maneuvers immediately preceding crashes.

Pre-Crash Driver Action

1
Straight Ahead76 (52.8%)
2
Making Left Turn30 (20.8%)
3
Slowing or Stopped In Traffic17 (11.8%)
4
Backing5 (3.5%)
5
Entering Traffic Lane4 (2.8%)
6
Making Right Turn4 (2.8%)
7
Parked4 (2.8%)
8
Negotiating a Curve2 (1.4%)
9
Changing Lanes1 (0.7%)

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

Angle collisions were the most common manner of collision, accounting for 25 crashes or 33.3% of the total. Rear-end collisions followed closely, representing 22 incidents or 29.3%. These two collision types collectively represent over 60% of all reported crashes.

Manner of Collision

"Other" combines 2 smaller categories (3 records): Sideswipe; opposite direction (2), Backing (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 frequently involved vehicle type, accounting for 63 vehicles. Pick-up trucks and Sport Utility Vehicles also showed high involvement, with 30 and 29 vehicles respectively. Commercial vehicles, including pick-ups, cargo vans, semi-tractors, and buses, collectively comprised 40 of the 144 vehicles involved.

Vehicle Type

"Other" combines 4 smaller categories (5 records): Single Unit Truck (2), Bus (16+ Passengers) (1), Pedestrian/Skater (1), Other Vehicle (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, totaling 139 individuals. Occupants accounted for 68 persons, while 1 pedestrian was also involved. This distribution highlights that drivers and their passengers are the primary groups affected by crashes.

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, 191 individuals sustained no injuries. 8 persons experienced minor injuries, and 9 sustained possible injuries, totaling 17 injured individuals. No fatalities were recorded among the persons involved in crashes.

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

Among participants where safety equipment use was reported, 132 individuals used shoulder and lap belts. However, 38 individuals, representing 21.2% of those with known status, reported using no safety equipment. Additionally, child restraint systems were used by 6 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, 63 incidents, involved two vehicles. Single-vehicle crashes accounted for 9 incidents, representing 12% of the total. Three crashes involved three vehicles, indicating that multi-vehicle incidents beyond two vehicles were less common.

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: August 23, 2026

Data Coverage

  • Reporting period: 2021-01-01 through 2021-12-31 (365 days)
  • Geographic scope: Clyde, OH
  • Total crash records analyzed: 75
  • Total persons involved: 208
  • Total vehicles involved: 144

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). "Clyde, OH Crash Intelligence Report: 2021." Published August 23, 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/clyde/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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