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CRASH INTELLIGENCE REPORT · FAIRLAWN, 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/fairlawn/2021-annual-report
Yearly Traffic Safety Analysis
245 CRASHES IN
FAIRLAWN, OH
2021
In 2021, Fairlawn experienced a total of 245 crashes, resulting in 0 fatalities and 76 injuries. The vast majority of crashes, 79.2%, resulted in no injuries. The most frequent contributing factor among drivers was 'Following too Close / ACDA', accounting for 86 instances.
245
Total Crash Events
0
Persons Killed
76
Persons Injured
8.2%
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
20
Hit-and-Run Crashes — 2021
There were 20 hit-and-run crashes in Fairlawn during 2021, representing 8.2% of all crashes. It is important to note that hit-and-run status is determined by the responding officer's initial assessment at the crash scene.
Vulnerable Road User Casualties
In 2021, there were no pedestrian or cyclist fatalities or injuries reported in Fairlawn crashes. All 76 injuries recorded were sustained by motorists. There were no motorist fatalities during this period.
0
Motorists Killed
76
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 Fairlawn were most frequent on Wednesdays, with 53 incidents recorded. The peak hour for crashes was 5 PM, which saw 24 incidents. The majority of crashes, 77.1%, occurred 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 245 crashes in Fairlawn, 79.2% resulted in no injuries. Injury crashes accounted for 20.8% of the total, with 1.2% classified as serious injury crashes. There were no fatal crashes, meaning no persons were killed in any crash during this period.
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 Fairlawn occurred under clear weather conditions (151 crashes), on dry road surfaces (187 crashes), and during daylight hours (189 crashes). Conversely, 25 crashes occurred in the rain and 54 crashes happened on wet 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 largest age group represented in crashes was 65+, accounting for 122 persons. Drivers aged 26-34 were also significantly represented, with 91 persons. The most frequently involved vehicle makes were Ford, with 70 vehicles, followed by Chevrolet with 61 vehicles.
Top Vehicle Makes (488 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
14 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (632 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)
Most crashes in Fairlawn, 237 of 245, occurred directly on the roadway. A smaller proportion of crashes, 3.3% (8 crashes), occurred off the main travel lanes, specifically on the roadside or shoulder.
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 type at crash locations was 'No Control', accounting for 53.5% of incidents where traffic control was noted. Locations with traffic signals were associated with 38.1% of crashes. Overall, 59.0% of crashes occurred 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 leading contributing factor identified in crashes was 'Following too Close / ACDA', cited in 86 instances, representing 17.8% of all driver actions. 'Failure to Yield' was the second most common factor, accounting for 55 instances or 11.4% of driver actions. 'Improper Lane Change' and 'Ran Red Light' were also notable, with 16 and 14 instances respectively.
Driver Contributing Factor
Showing top 9 of 14 reported. 5 additional (17 total) not shown: Improper Passing, Ran Stop Sign, Unsafe Speed, Operating Defective Equipment, Left of Center.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Driver Condition
While most drivers were apparently normal, a small number of crashes involved drivers with abnormal conditions. Four drivers were noted with a 'Physical Impairment', and two drivers were recorded as having 'Fell Asleep; Fainted; Fatigued; etc.'. One driver was also reported as 'Under the Influence of Medications / Drugs / Alcohol'.
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
Specific driver distractions were identified in a small number of cases. Three drivers were distracted by factors outside the vehicle, and two were distracted by other factors inside the vehicle. Additionally, two drivers were distracted by a passenger.
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, 220 out of 245, occurred on a 'Straight Grade' road alignment. Crashes occurring on curves (Curve Level or Curve Grade) accounted for 17 incidents, representing 6.9% of all crashes. A significant 93.1% of crashes occurred on roads with a grade.
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 by drivers was 'Straight Ahead', accounting for 52.9% of all vehicle actions. 'Slowing or Stopped In Traffic' was the second most common, at 21.7%. 'Making Left Turn' was the third most common action, representing 11.3% of vehicle actions.
Pre-Crash Driver Action
Showing top 9 of 12 reported. 3 additional (9 total) not shown: Overtaking/Passing, Negotiating a Curve, Leaving 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 most dominant manners of collision were 'Angle' and 'Rear-end', both accounting for 88 crashes and 35.9% each of the total. 'Not Collision Between Two Vehicles in Transport' was the next most frequent, at 33 crashes or 13.5%.
Manner of Collision
"Other" combines 2 smaller categories (2 records): Rear-to-rear (1), 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 most common vehicle type involved in crashes, accounting for 243 vehicles or 49.8% of the total. Sport utility vehicles (SUVs) were also highly represented, with 179 vehicles or 36.7%. Trucks, buses, and commercial vehicles collectively made up 10.0% of involved vehicles.
Vehicle Type
"Other" combines 5 smaller categories (9 records): Single Unit Truck (3), Bus (16+ Passengers) (2), Other Vehicle (2), Motorcycle 2 Wheeled (1), Semi-Tractor (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 overwhelming majority of persons involved in crashes, accounting for 484 individuals or 75.5% of all persons. Occupants made up the remaining 157 individuals, or 24.5% of persons. No pedestrians or cyclists were listed as involved persons.
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 641 persons involved in crashes, 76 sustained injuries, representing 11.9% of all individuals. No persons were killed in crashes during this period. The majority of individuals, 87.2%, reported no injuries.
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 vast majority of participants, 585 individuals or 91.3%, were using shoulder and lap belts. A small number of individuals, 7, were noted as using no safety equipment. Child restraint systems were used by 27 children.
Occupant Safety Equipment
"Other" combines 1 smaller categories (1 records): Booster Seat (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, 196 out of 245, involved two vehicles. Single-vehicle crashes accounted for 28 incidents, representing 11.4% of all crashes. Multi-vehicle crashes involving three or more vehicles occurred in 21 instances, or 8.6% of the total.
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: Fairlawn, OH
- Total crash records analyzed: 245
- Total persons involved: 641
- Total vehicles involved: 488
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). "Fairlawn, 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/fairlawn/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