ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · GARFIELD HEIGHTS, OH · 2021
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/ohio/garfield-heights/2021-annual-report
Yearly Traffic Safety Analysis
868 CRASHES IN
GARFIELD HEIGHTS, OH
2021
In Garfield Heights, OH, during 2021, a total of 868 crashes were reported, resulting in 2 fatalities and 365 injuries. A significant majority of these crashes, 70.4%, were classified as 'No Injury' incidents. The most frequent pre-crash action was 'Straight Ahead', accounting for 51.7% of reported actions, while 'Following too Close / ACDA' was the most common contributing factor, representing 20.9% of factors identified.
868
Total Crash Events
2
Persons Killed
365
Persons Injured
24.2%
Hit-and-Run Rate
Note: "Persons Killed" (2) counts individual fatalities across all crash events. "Fatal" in the severity table below (2) 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
210
Hit-and-Run Crashes — 2021
There were 210 hit-and-run crashes reported in Garfield Heights during 2021, accounting for 24.2% 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
Motorists experienced the highest impact, with 2 killed and 353 injured in crashes during 2021. Pedestrians accounted for 12 injuries and 0 fatalities. Cyclists had 0 injuries and 0 fatalities reported.
0
Pedestrians Killed
2
Motorists Killed
12
Pedestrians Injured
353
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 Garfield Heights peaked on Fridays with 154 incidents, and the peak hour for crashes was 3 PM with 79 incidents. The majority of crashes, 552, occurred during daylight conditions, compared to 281 crashes that occurred in dark conditions (lighted or unlighted roadways).
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 868 crashes, 611 (70.4%) resulted in no injuries, while 255 crashes (29.4%) involved some level of injury. There were 2 fatal crashes, which resulted in 2 persons killed. The number of persons killed may differ from the number of fatal crashes, as a single crash can involve multiple fatalities.
Outcome by Severity (Crash Events)
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 clear weather conditions (442 incidents) and on dry road surfaces (656 incidents). Daylight was the predominant lighting condition, accounting for 552 crashes. Conversely, 135 crashes occurred in adverse weather conditions (rain, snow, sleet, freezing rain, or severe crosswinds), and 209 crashes occurred on wet, snowy, icy, or standing water road surfaces.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Lighting condition field
Road Surface
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 26-34 was most represented among persons involved in crashes, with 379 individuals. Chevrolet vehicles were involved in the highest number of incidents, with 252 occurrences, followed by Ford with 218 vehicles. Passenger Cars were the dominant vehicle type involved in crashes, accounting for 942 incidents.
Top Vehicle Makes (1,686 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
205 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (1,961 persons with recorded sex)
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 vast majority of crashes, 780 incidents (89.9%), occurred on the roadway. A total of 77 crashes (8.9%) occurred off the travel lanes, including on the shoulder, outside the trafficway, on the roadside, on or off ramps, or in the median, indicating run-off-road incidents.
Crash Location (First Harmful Event)
"Other" combines 3 smaller categories (8 records): On ramp (3), In Median (3), On Gore (2).
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 present at crash locations was 'No Control,' accounting for 1136 instances. Crashes at signalized locations (Signal or Flasher) represented 24.3% of reported traffic control instances. Conversely, locations with no control, stop signs, or yield signs accounted for 75.7% of reported traffic control 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
The leading contributing factor identified in crashes was 'Following too Close / ACDA,' with 227 instances, representing 20.9% of all reported factors. 'Failure to Yield' was the second most common factor, accounting for 137 instances (12.6%), followed by 'Other Improper Action' with 123 instances (11.3%).
Driver Contributing Factor
Showing top 9 of 20 reported. 11 additional (102 total) not shown: Ran Red Light, Unsafe Speed, Improper Passing, Swerving to Avoid, Load shifting/Falling/Spilling, Ran Stop Sign, Stopped or Parked Illegally, Operating Defective Equipment, Improper Start From a Parked Position, Improper Crossing, Wrong Way.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Commercial / Truck Involvement
A total of 78 commercial vehicles were involved in crashes, representing 9.0% of all crashes. This included 48 'Other Commercial Vehicles' and 30 'Semi-Tractor Trailers'.
Vulnerable Road Users & Motorcycles
Crashes involving vulnerable road users, specifically pedestrians and bicyclists, totaled 16 incidents, representing 1.8% of all crashes. This included 11 pedestrian-involved crashes and 5 bicyclist-involved crashes.
Driver Condition
A total of 45 instances of abnormal driver conditions were reported, accounting for 3.0% of all driver condition entries. The most frequent abnormal condition was 'Under the Influence of Medications / Drugs / Alcohol,' with 27 instances. Other reported conditions included physical impairment, illness, falling asleep/fatigue, and emotional distress.
Driver Condition
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
There were 29 reported instances of driver distraction, representing 2.0% of all driver distraction entries. The most common specific distractions were 'Other distraction outside the vehicle' (11 instances) and 'Other distraction inside the vehicle' (10 instances).
Driver Distraction
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, 650 incidents, occurred on straight, level roadways. Crashes occurring on curves (Curve Grade or Curve Level) accounted for 58 incidents, or 6.7% of all crashes. Incidents on grades (Straight Grade or Curve Grade) totaled 197, representing 22.7% of crashes.
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 reported was 'Straight Ahead,' accounting for 859 instances, or 51.7% of all specified actions. 'Slowing or Stopped In Traffic' was the second most frequent action with 268 instances (16.1%), followed by 'Making Left Turn' with 127 instances (7.6%).
Pre-Crash Driver Action
Showing top 9 of 17 reported. 8 additional (53 total) not shown: Negotiating a Curve, Walking; Running; Jogging; Playing, Leaving Traffic Lane, Entering Traffic Lane, Driverless, Making U-Turn, Standing, Other Non-Motorist.
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 'Rear-end,' accounting for 251 crashes, or 28.9% of all incidents. 'Angle' collisions were the second most frequent, with 203 incidents (23.4%).
Manner of Collision
"Other" combines 2 smaller categories (17 records): Other/Unknown (13), Rear-to-rear (4).
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 942 vehicles. Commercial vehicles, including Single Unit Trucks, Semi-Tractors, Cargo Vans, Buses, and Heavy Equipment, collectively represented 90 vehicles, or 5.3% of all vehicles involved.
Vehicle Type
"Other" combines 8 smaller categories (63 records): Cargo Van (22), Pedestrian/Skater (13), Motorcycle 2 Wheeled (7), Other Vehicle (6), Van (9-15 Seats) (5), Bicycle (5), Bus (16+ Passengers) (4), Heavy Equipment (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 dominant role among persons involved in crashes, with 1568 individuals. Occupants accounted for 501 individuals, while pedestrians represented 13 individuals involved in 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
Out of 2082 persons involved in crashes, 2 individuals sustained fatal injuries, representing 0.1% of all persons. A total of 365 persons sustained some level of injury (serious, minor, or possible), accounting for 17.5% of all 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
Among those for whom safety equipment use was reported, 'Shoulder and Lap Belt Used' was the most common, with 1596 instances. A notable 78 instances, representing 4.3% of reported uses, indicated that 'None Used' safety equipment.
Occupant Safety Equipment
"Other" combines 2 smaller categories (11 records): Booster Seat (10), Helmet Used (1).
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, 682 incidents, involved two vehicles. Single-vehicle crashes accounted for 128 incidents, representing 14.7% of all crashes. Multi-vehicle crashes involving three or more vehicles totaled 58 incidents.
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: Garfield Heights, OH
- Total crash records analyzed: 868
- Total persons involved: 2,082
- Total vehicles involved: 1,686
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). "Garfield Heights, 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/garfield-heights/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
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Ohio Crash Data (ODOT TIMS) · Csv
Period: 2021-01-01 – 2021-12-31
Generated: July 6, 2026 · All rights reserved