Yearly Traffic Safety Analysis

137 CRASHES IN
GIRARD, OH
2021

In 2021, Girard, OH experienced 137 crashes, resulting in 0 fatalities and 50 injuries. A notable finding is that 73.7% of these crashes resulted in no reported injuries. There were no fatal crashes recorded during this period.

137

Total Crash Events

0

Persons Killed

50

Persons Injured

13.1%

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

18

Hit-and-Run Crashes — 2021

Girard recorded 18 hit-and-run crashes in 2021, accounting for 13.1% of all crashes. It is important to note that hit-and-run status is based on the responding officer's initial determination at the crash scene.

Vulnerable Road User Casualties

In 2021, there were no fatalities reported among pedestrians, cyclists, or motorists in Girard. All 50 reported injuries were sustained by motorists. There were no injuries recorded for pedestrians or cyclists.

0

Motorists Killed

50

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 Girard peaked on Thursdays with 25 incidents and at 6 PM with 16 incidents. The majority of crashes, 95 out of 137, occurred during daylight hours, while 39 crashes happened during dark or dawn/dusk 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 137 crashes, 101 (73.7%) resulted in no injuries, categorized as property-damage-only incidents. Injury crashes, encompassing serious, minor, and possible injuries, totaled 36. There were no fatal crashes reported, though it is important to note that a single crash can involve multiple fatalities.

Outcome by Severity (Crash Events)

Serious Injury8serious injury crashes5.8%
Minor Injury15minor injury crashes10.9%
Possible Injury13possible injury crashes9.5%
No Injury101no injury crashes73.7%

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 91 incidents in clear weather, 102 on dry road surfaces, and 95 during daylight. Adverse conditions were also present in a significant number of crashes, including 15 in rain and 7 in snow, and 29 on wet roads, 4 on snowy roads, and 2 on icy roads.

Weather

Clear91 (66.4%)
Cloudy21 (15.3%)
Rain15 (10.9%)
Snow7 (5.1%)
Other/Unknown3 (2.2%)

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

Lighting

Daylight95 (69.3%)
Dark - Lighted Roadway26 (19.0%)
Dark - Roadway Not Lighted5 (3.6%)
Dawn/Dusk5 (3.6%)
Dark - Unknown Roadway Lighting3 (2.2%)
Other/Unknown3 (2.2%)

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

Road Surface

Dry102 (74.5%)
Wet29 (21.2%)
Snow4 (2.9%)
Ice2 (1.5%)

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

Vehicles & Demographics

The most represented age group among persons involved in crashes was 26-34, with 42 individuals, followed by 35-44 with 37 individuals. Chevrolet vehicles were most frequently involved, with 46 instances, followed by Ford with 32 instances, and Dodge with 15 instances.

Top Vehicle Makes (231 vehicles)

1
CHEVROLET46 (19.9%)
2
FORD32 (13.9%)
3
DODGE15 (6.5%)
4
HONDA13 (5.6%)
5
BUICK11 (4.8%)
6
JEEP10 (4.3%)
7
GMC10 (4.3%)
8
TOYOTA10 (4.3%)
9
NISSAN10 (4.3%)
10
OTHER/UNKNOWN9 (3.9%)

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

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

Sex Distribution (233 persons with recorded sex)

Male126 (54.1%)
Female107 (45.9%)

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 the crash locations, 114 instances occurred on the roadway. A total of 12 instances, or 8.8% of crashes, occurred off the travel lanes, including 6 on the roadside, 5 on the shoulder, and 1 in the median.

Crash Location (First Harmful Event)

"Other" combines 1 smaller categories (1 records): In Median (1).

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,' accounting for 161 instances. Signalized intersections were associated with 39 instances, while stop signs were present in 30 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

Among contributing factors, 'Other Improper Action' was the most frequent with 29 instances, representing 27.6% of identified factors. 'Following too Close / ACDA' was noted in 16 instances (15.2%), and 'Improper Backing' in 15 instances (14.3%).

Driver Contributing Factor

1
Other Improper Action29 (25.4%)
2
Following too Close / ACDA16 (14%)
3
Improper Backing15 (13.2%)
4
Failure to Yield10 (8.8%)
5
Drove off Road7 (6.1%)
6
Left of Center7 (6.1%)
7
Improper Turn6 (5.3%)
8
Ran Stop Sign6 (5.3%)
9
Improper Lane Change5 (4.4%)

Showing top 9 of 19 reported. 10 additional (13 total) not shown: Unsafe Speed, Ran Red Light, Improper Passing, Vision Obstruction, Improper Crossing, Improper Start From a Parked Position, Load shifting/Falling/Spilling, Not Discernible, Operating Defective Equipment, Swerving to Avoid.

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

Commercial / Truck Involvement

There were 12 commercial vehicles involved in crashes, comprising 8 'Other Commercial Vehicle' and 4 'Semi-Tractor Trailer' instances. This means approximately 8.8% of all crashes involved a commercial truck.

Driver Condition

Among reported driver conditions, 3 instances indicated 'Physical Impairment' and 3 instances indicated 'Under the Influence of Medications / Drugs / Alcohol.' 'Illness' was noted in 1 instance. These abnormal conditions collectively represent 3.5% of the reported driver conditions.

Driver Condition

1
Apparently Normal187 (94.4%)
2
Other/Unknown4 (2%)
3
Physical Impairment3 (1.5%)
4
Under the Influence of Medications / Drugs / Alcohol3 (1.5%)
5
Illness1 (0.5%)

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

Specific driver distractions were reported in 4 instances, with 2 cases involving 'Other distraction inside the vehicle' and 1 case each for 'Other activity with an electronic device' and 'Other distraction outside the vehicle.' These specific distractions represent 2.0% of the reported driver conditions.

Driver Distraction

1
Not Distracted180 (91.8%)
2
Other/Unknown12 (6.1%)
3
Other distraction inside the vehicle2 (1%)
4
Other activity with an electronic device1 (0.5%)
5
Other distraction outside the vehicle1 (0.5%)

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 14.6% of crashes occurred on curves, with 12 on 'Curve Grade' and 8 on 'Curve Level' alignments. Crashes on grades, including 'Straight Grade' and 'Curve Grade,' accounted for 30 instances, or 21.9% of the total.

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 105 instances, or 46.9% of reported actions. 'Slowing or Stopped In Traffic' was the second most frequent with 31 instances (13.8%), followed by 'Backing' with 21 instances (9.4%).

Pre-Crash Driver Action

1
Straight Ahead105 (45.5%)
2
Slowing or Stopped In Traffic31 (13.4%)
3
Backing21 (9.1%)
4
Parked20 (8.7%)
5
Making Left Turn17 (7.4%)
6
Making Right Turn7 (3%)
7
Negotiating a Curve7 (3%)
8
Other/Unknown7 (3%)
9
Leaving Traffic Lane5 (2.2%)

Showing top 9 of 13 reported. 4 additional (11 total) not shown: Changing Lanes, Overtaking/Passing, Driverless, Entering Traffic Lane.

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 'Not Collision Between Two Vehicles in Transport,' accounting for 54 crashes or 39.4% of the total. 'Angle' collisions were the second most frequent with 28 incidents (20.4%), followed by 'Rear-end' collisions with 23 incidents (16.8%).

Manner of Collision

"Other" combines 1 smaller categories (3 records): Head-on (3).

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 115 instances. Commercial vehicles, including pick-up trucks, cargo vans, semi-tractors, and buses, collectively comprised 33 instances, representing 14.3% of all vehicles involved.

Vehicle Type

"Other" combines 8 smaller categories (14 records): Semi-Tractor (4), Other Vehicle (3), All Terrain Vehicle (ATV/UTV) (2), Heavy Equipment (1), Single Unit Truck (1), Bus (16+ Passengers) (1), Bicycle (1), Van (9-15 Seats) (1).

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

Person Type

Drivers were the dominant role among persons involved in crashes, totaling 204 individuals. Occupants accounted for 39 individuals, while 1 pedestrian was involved. Drivers represented 83.6% of all persons recorded.

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, 50 individuals sustained injuries, comprising 9 serious, 23 minor, and 18 possible injuries. This means 21.1% of persons involved experienced some level of injury. No fatalities were recorded among persons.

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, 192 individuals, utilized 'Shoulder and Lap Belt Used' safety equipment, representing 79.7% of recorded instances. However, 17 individuals, or 7.1% of participants, were recorded 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 accounted for 48 of the 137 incidents, representing 35.0% of all crashes. The majority of crashes involved two vehicles, with 85 incidents. There were also 3 crashes involving three vehicles and 1 crash involving four 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 5, 2026

Data Coverage

  • Reporting period: 2021-01-01 through 2021-12-31 (365 days)
  • Geographic scope: Girard, OH
  • Total crash records analyzed: 137
  • Total persons involved: 244
  • Total vehicles involved: 231

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). "Girard, 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/girard/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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Girard, OH Crash Report — 2021 | ThatCarHitMe.com