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CRASH INTELLIGENCE REPORT · FAIRVIEW PARK, 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/fairview-park/2021-annual-report
Yearly Traffic Safety Analysis
186 CRASHES IN
FAIRVIEW PARK, OH
2021
In Fairview Park, Ohio, during 2021, a total of 186 crashes were recorded, resulting in 0 fatalities and 69 injuries. The most frequent type of collision was rear-end, accounting for 32.3% of all crashes. Notably, no fatal crashes occurred within this period.
186
Total Crash Events
0
Persons Killed
69
Persons Injured
10.2%
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
19
Hit-and-Run Crashes — 2021
There were 19 hit-and-run crashes reported in Fairview Park during 2021, representing 10.2% of all crashes. This figure is based on the initial determination made by the responding officer at the time of the incident.
Vulnerable Road User Casualties
In Fairview Park during 2021, there were no fatalities reported for pedestrians, cyclists, or motorists. All 69 reported injuries were sustained by motorists. No pedestrians or cyclists were injured in crashes.
0
Motorists Killed
69
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
Crash incidents in Fairview Park during 2021 peaked in September with 21 crashes. The highest number of crashes by day of week occurred on Wednesday, with 31 incidents. The peak hour for crashes was 5 PM, recording 20 incidents.
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 186 crashes, 52 involved injuries, while 134 crashes (72%) resulted in no injuries. Specifically, 5 crashes led to serious injuries, 18 to minor injuries, and 29 to possible injuries. There were no fatal crashes reported in Fairview Park during 2021.
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 in Fairview Park during 2021 occurred under clear weather conditions (118 crashes), on dry road surfaces (124 crashes), and during daylight hours (141 crashes). Conversely, 30 crashes occurred during rain, 37 on wet roads, and 38 in dark-lighted or unlighted conditions.
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
Among all persons involved in crashes, the 26-34 age group was the most represented, accounting for 77 individuals. Ford vehicles were involved most frequently, totaling 49 incidents, followed by Honda with 41 and Chevrolet with 33.
Top Vehicle Makes (341 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
21 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (389 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 majority of crashes, 163 out of 186, occurred on the roadway itself. A total of 21 crashes, representing 11.3% of all incidents, occurred off the travel lanes, including on the shoulder (9), in the median (4), on the roadside (4), or outside the trafficway (4).
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 at crash locations was 'No Control,' accounting for 227 instances. Signalized locations were associated with 94 instances, while uncontrolled locations (No Control, Stop Sign, Flasher, Roundabout) collectively accounted for 243 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 most common contributing factor identified was 'Following too Close / ACDA' with 54 instances. 'Failure to Yield' was the second most frequent with 29 instances, followed by 'Other Improper Action' and 'Improper Lane Change,' both with 16 instances. These top four factors collectively represent 75.7% of all identified contributing factors.
Driver Contributing Factor
Showing top 9 of 16 reported. 7 additional (12 total) not shown: Ran Red Light, Not Discernible, Left of Center, Vision Obstruction, Load shifting/Falling/Spilling, Lying in Roadway, Ran Stop Sign.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Commercial / Truck Involvement
Crashes involving commercial trucks totaled 13, representing 7.0% of all crashes. This category included 9 'Other Commercial Vehicle' incidents and 4 'Semi-Tractor Trailer' incidents.
Impairment (Alcohol / Drugs)
A total of 16 crashes, or 8.6% of all incidents, involved impairment. This included 10 instances related to alcohol, 4 to drugs, and 2 to both alcohol and drugs.
Driver Condition
Among drivers involved in crashes, 22 were noted to have abnormal conditions. This included 11 instances of being 'Under the Influence of Medications / Drugs / Alcohol,' 7 instances of being 'Emotional,' and 2 instances each for 'Illness' and 'Physical Impairment.' These abnormal conditions collectively represent 7.1% of all reported driver conditions.
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
A total of 23 drivers were identified as distracted, representing 7.4% of all drivers with known distraction status. The most frequent types of distraction were 'Other distraction inside the vehicle' (9 instances) and 'Other distraction outside the vehicle' (9 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
Approximately 11.8% of crashes occurred on curves (15 on curve level, 7 on curve grade), totaling 22 incidents. Additionally, 19.4% of crashes occurred on grades (29 on straight grade, 7 on curve grade), totaling 36 incidents.
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 181 instances. 'Slowing or Stopped In Traffic' was the second most frequent with 47 instances, followed by 'Making Left Turn' with 32 instances. These three actions represent 53.4%, 13.9%, and 9.4% respectively, of all reported pre-crash actions.
Pre-Crash Driver Action
Showing top 9 of 14 reported. 5 additional (11 total) not shown: Leaving Traffic Lane, Other/Unknown, Making U-Turn, Entering Traffic Lane, Driverless.
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 60 crashes or 32.3% of all incidents. 'Angle' collisions were the second most common, with 40 incidents representing 21.5% of crashes.
Manner of Collision
"Other" combines 1 smaller categories (1 records): Sideswipe; opposite direction (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 dominant vehicle type involved in crashes, with 238 instances, comprising 69.8% of all vehicles. Commercial vehicles, including cargo vans, semi-tractors, single unit trucks, and buses, collectively accounted for 14 vehicles, or 4.1% of the total.
Vehicle Type
"Other" combines 4 smaller categories (8 records): Bicycle (3), Single Unit Truck (3), Bus (16+ Passengers) (1), Limo (Livery 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, with 319 individuals, representing 78.9% of all persons. Occupants accounted for the remaining 85 individuals, or 21.0% of the total.
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 391 persons with known injury severity, 69 individuals sustained injuries, representing 17.6% of this group. There were 6 serious injuries, 25 minor injuries, and 38 possible injuries reported. No fatalities were recorded among these 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 370 individuals with known safety equipment use, 9 persons were recorded as using 'None Used,' representing 2.4% of this group. The vast majority, 341 individuals, used 'Shoulder and Lap Belt Used.'
Occupant Safety Equipment
"Other" combines 2 smaller categories (3 records): Shoulder Belt Only Used (2), 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, 141 out of 186, involved two vehicles. Single-vehicle crashes accounted for 38 incidents, representing 20.4% of all crashes. Seven crashes 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 6, 2026
Data Coverage
- Reporting period: 2021-01-01 through 2021-12-31 (365 days)
- Geographic scope: Fairview Park, OH
- Total crash records analyzed: 186
- Total persons involved: 404
- Total vehicles involved: 341
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). "Fairview Park, 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/fairview-park/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