Yearly Traffic Safety Analysis

67 CRASHES IN
CHAGRIN FALLS, OH
2021

In 2021, Chagrin Falls experienced 67 crashes, resulting in 0 fatalities and 12 injuries. A notable finding is that 12 crashes, representing 17.9% of all incidents, were classified as hit-and-run incidents. The absence of fatalities indicates a positive safety outcome for the year.

67

Total Crash Events

0

Persons Killed

12

Persons Injured

17.9%

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

12

Hit-and-Run Crashes — 2021

During 2021, there were 12 hit-and-run crashes in Chagrin Falls, accounting for 17.9% of all crashes. This classification is based on the initial determination made by the responding officer at the scene of the incident.

Vulnerable Road User Casualties

In 2021, there were 0 fatalities among pedestrians, cyclists, and motorists in Chagrin Falls. However, 8 motorists sustained injuries, making them the most impacted group. Additionally, 4 pedestrians were injured, while no cyclists were injured.

0

Pedestrians Killed

0

Motorists Killed

4

Pedestrians Injured

8

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 Chagrin Falls most frequently occurred on Thursdays, with 14 incidents recorded. The peak hour for crashes was 4 p.m., which saw 8 incidents. The majority of crashes, 53, happened during daylight hours.

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

Of the 67 crashes recorded, 55 (82.1%) resulted in no injuries, indicating property-damage-only incidents. Injury crashes accounted for 12 incidents, comprising 3 serious injuries, 3 minor injuries, and 6 possible injuries. There were no fatal crashes in Chagrin Falls during 2021, meaning no persons were killed.

Outcome by Severity (Crash Events)

Serious Injury3serious injury crashes4.5%
Minor Injury3minor injury crashes4.5%
Possible Injury6possible injury crashes9%
No Injury55no injury crashes82.1%

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 environmental conditions, with 42 incidents (62.7%) happening in clear weather, 48 incidents (71.6%) on dry road surfaces, and 53 incidents (79.1%) during daylight. Adverse conditions such as rain contributed to 7 crashes, while wet road surfaces were present in 16 crashes.

Weather

Clear42 (62.7%)
Cloudy16 (23.9%)
Rain7 (10.4%)
Other/Unknown1 (1.5%)
Snow1 (1.5%)

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

Lighting

Daylight53 (79.1%)
Dark - Lighted Roadway10 (14.9%)
Dark - Roadway Not Lighted2 (3.0%)
Dawn/Dusk1 (1.5%)
Other/Unknown1 (1.5%)

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

Road Surface

Dry48 (71.6%)
Wet16 (23.9%)
Snow2 (3.0%)
Other/Unknown1 (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 age group 65+ was most frequently represented among persons involved in crashes, with 33 individuals. Other significant age groups included 55-64 with 17 persons and both 16-20 and 35-44 with 15 persons each. Among vehicle makes, 'OTHER/UNKNOWN' was listed 56 times, while Ford and Chevrolet were the most frequent known makes, each appearing 11 times.

Top Vehicle Makes (126 vehicles)

1
OTHER/UNKNOWN56 (44.4%)
2
FORD11 (8.7%)
3
CHEVROLET11 (8.7%)
4
JEEP9 (7.1%)
5
HONDA5 (4%)
6
HYUNDAI4 (3.2%)
7
DODGE3 (2.4%)
8
SUBARU3 (2.4%)
9
TOYOTA3 (2.4%)
10
GMC2 (1.6%)

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

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

Sex Distribution (122 persons with recorded sex)

Male71 (58.2%)
Female51 (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)

A total of 9 crashes, representing 13.4% of all incidents, occurred off the main travel lanes, specifically on the roadside (5 crashes) or on the shoulder (4 crashes). The majority of crashes, 53, took place directly on the roadway. An additional 4 crashes occurred 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 dominant traffic control condition associated with vehicles involved in crashes was 'No Control', accounting for 84 instances. Locations with traffic signals were associated with 30 vehicles, while stop signs were associated with 10 vehicles. Approximately 24% of vehicles involved in crashes were at signalized locations, compared to 76% at uncontrolled locations (no control, stop sign, or yield 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

The most frequently cited contributing factors were 'Other Improper Action' and 'Failure to Yield', each associated with 11 units. 'Following too Close / ACDA' was another significant factor, linked to 6 units. These top three factors collectively represent 28 units where a contributing factor was identified.

Driver Contributing Factor

1
Other Improper Action11 (18.3%)
2
Failure to Yield11 (18.3%)
3
Following too Close / ACDA6 (10%)
4
Improper Backing5 (8.3%)
5
Improper Passing4 (6.7%)
6
Drove off Road4 (6.7%)
7
Improper Turn3 (5%)
8
Ran Red Light3 (5%)
9
Improper Lane Change3 (5%)

Showing top 9 of 15 reported. 6 additional (10 total) not shown: Ran Stop Sign, Left of Center, Swerving to Avoid, Improper Start From a Parked Position, Unsafe Speed, Opening Door into Roadway.

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

Driver Condition

Only a small number of drivers were reported with abnormal conditions at the time of the crash. Three drivers were noted as being 'Emotional', and one driver was 'Under the Influence of Medications / Drugs / Alcohol'. These conditions collectively represent 4 out of 89 drivers whose condition was reported as not 'Apparently Normal' or 'Other/Unknown'.

Driver Condition

1
Apparently Normal85 (88.5%)
2
Other/Unknown7 (7.3%)
3
Emotional (E.G.; Depressed; Angry; Disturbed)3 (3.1%)
4
Under the Influence of Medications / Drugs / Alcohol1 (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

Specific driver distractions were reported in a limited number of cases. Two drivers were distracted by 'Manually operating an electronic communication device', while one driver was distracted by 'Other activity with an electronic device'. Another driver was distracted by 'Other distraction outside the vehicle'.

Driver Distraction

1
Not Distracted82 (86.3%)
2
Other/Unknown9 (9.5%)
3
Manually operating an electronic communication device (texting; typing; dialing)2 (2.1%)
4
Other activity with an electronic device1 (1.1%)
5
Other distraction outside the vehicle1 (1.1%)

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 8.9% of crashes, totaling 6 incidents, occurred on curves (3 on curve grade and 3 on curve level). Additionally, 14 crashes, or 20.9% of the total, took place on grades (11 on straight grade and 3 on curve grade). The majority of crashes, 50, occurred on straight level roadways.

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 actions reported were 'Straight Ahead' (48 instances), 'Parked' (21 instances), and 'Making Right Turn' (10 instances). These three actions account for 79 out of 123 reported pre-crash actions where a specific action was identified. 'Straight Ahead' alone represents 39% of these actions.

Pre-Crash Driver Action

1
Straight Ahead48 (38.1%)
2
Parked21 (16.7%)
3
Making Right Turn10 (7.9%)
4
Backing9 (7.1%)
5
Slowing or Stopped In Traffic8 (6.3%)
6
Making Left Turn8 (6.3%)
7
Entering Traffic Lane4 (3.2%)
8
Changing Lanes4 (3.2%)
9
Walking; Running; Jogging; Playing3 (2.4%)

Showing top 9 of 14 reported. 5 additional (11 total) not shown: Leaving Traffic Lane, Other/Unknown, Overtaking/Passing, Standing, Negotiating a Curve.

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

Manner of Collision

The most frequent manner of collision was 'Angle', accounting for 16 crashes, or 25% of incidents with a specified collision type. 'Not Collision Between Two Vehicles in Transport' was the next most common, with 15 incidents. 'Sideswipe; same direction' also represented a significant portion, with 14 crashes.

Manner of Collision

"Other" combines 1 smaller categories (2 records): Head-on (2).

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 dominant vehicle type involved in crashes, with 61 instances, representing 49.6% of all known vehicle types. Sport Utility Vehicles (32 instances) and Pickups (12 instances) were also frequently involved. Commercial vehicles, including Cargo Vans (5 instances) and Single Unit Trucks (3 instances), accounted for 8 vehicles.

Vehicle Type

"Other" combines 2 smaller categories (6 records): Other Vehicle (3), Unknown or Hit/Skip (3).

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 101 individuals, representing 78.3% of all persons. Occupants accounted for 24 individuals, while pedestrians were involved in 4 instances. There were no cyclists reported among the persons 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 122 persons with known injury severity, 110 (90.2%) sustained no injuries. A total of 12 persons (9.8%) sustained injuries, including 3 serious injuries, 3 minor injuries, and 6 possible injuries. There were no fatalities reported 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, 106 individuals, were reported to have used 'Shoulder and Lap Belt'. However, 6 participants, representing 5.3% of those with known safety equipment use, were reported to have used 'None Used'. Additionally, 1 participant used a 'Booster Seat' and 1 used 'Lap Belt Only'.

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, 55 out of 67, involved two vehicles. Single-vehicle crashes accounted for 10 incidents, representing 14.9% of all crashes. There were 2 crashes that involved three 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: Chagrin Falls, OH
  • Total crash records analyzed: 67
  • Total persons involved: 129
  • Total vehicles involved: 126

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). "Chagrin Falls, 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/chagrin-falls/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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Chagrin Falls, OH Crash Report — 2021 | ThatCarHitMe.com