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CRASH INTELLIGENCE REPORT · GLENWILLOW, 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/glenwillow/2021-annual-report
Yearly Traffic Safety Analysis
14 CRASHES IN
GLENWILLOW, OH
2021
In 2021, Glenwillow experienced a total of 14 crashes, resulting in 0 fatalities and 5 injuries. The majority of these crashes, 64.3%, involved no injuries, indicating a prevalence of property-damage-only incidents. Rear-end collisions were the most frequent manner of collision, accounting for 50% of all crashes.
14
Total Crash Events
0
Persons Killed
5
Persons Injured
14.3%
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
2
Hit-and-Run Crashes — 2021
Two hit-and-run crashes were reported in Glenwillow during 2021, representing 14.3% of all crashes. This status is based on the initial determination by the responding officer.
Vulnerable Road User Casualties
In 2021, Glenwillow recorded 0 pedestrians killed, 0 pedestrians injured, 0 cyclists killed, and 0 cyclists injured. There were 0 motorists killed, but 5 motorists sustained injuries. All recorded injuries were among motorists.
0
Motorists Killed
5
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 Glenwillow during 2021 showed a peak on Mondays, with 4 incidents recorded on this day. The peak hour for crashes was 1:00 PM, with 2 incidents. A significant majority of crashes, 71.4%, occurred during daylight hours, while 28.6% occurred during dawn/dusk or dark 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
Of the 14 crashes in Glenwillow during 2021, 64.3% resulted in no injuries, while 35.7% were injury crashes. Specifically, 7.1% were minor injury crashes and 28.6% involved possible injuries. There were no fatal crashes, and consequently, no fatalities were recorded.
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 Glenwillow during 2021 occurred under favorable conditions. Specifically, 64.3% happened in clear weather, 92.9% on dry road surfaces, and 71.4% during daylight. Adverse conditions included 5 crashes in cloudy weather, 1 crash on a wet road, 3 crashes at dawn/dusk, and 1 crash in dark conditions on a lighted roadway.
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
Top Vehicle Makes (28 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
2 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (27 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
Traffic Control Device
Among the recorded traffic control types at crash locations, 'No Control' was the most dominant, accounting for 59.3% of instances. Signalized locations, identified as 'Signal', represented 37.0% of the recorded traffic control types. Crashes at uncontrolled locations (No Control or Stop Sign) collectively accounted for 63.0% of 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 frequently cited contributing factor among recorded instances was 'Following too Close / ACDA', accounting for 53.8% of factors. 'Improper Lane Change' was the second most common factor, representing 15.4%. Other factors such as 'Other Improper Action', 'Improper Backing', 'Left of Center', and 'Failure to Yield' each accounted for 7.7% of the recorded instances.
Driver Contributing Factor
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Driver Condition
Among the 27 recorded driver conditions, 1 driver (3.7%) was noted as 'Emotional (E.G.; Depressed; Angry; Disturbed)', and 1 driver (3.7%) was recorded with a 'Physical Impairment'. The remaining 25 drivers were either 'Apparently Normal' or 'Other/Unknown'.
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
Among the 27 recorded driver distraction statuses, 1 driver (3.7%) was noted for 'Other distraction inside the vehicle', and 1 driver (3.7%) for 'Other distraction outside the vehicle'. The remaining 25 drivers were either 'Not Distracted' or 'Other/Unknown'.
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, 71.4%, occurred on 'Straight Level' road alignments. Crashes on 'Straight Grade' alignments accounted for 28.6% of the total. No crashes were recorded on curved road alignments.
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 recorded for drivers was 'Straight Ahead', accounting for 65.4% of instances. 'Slowing or Stopped In Traffic' was the second most frequent action at 15.4%. 'Making Left Turn' was observed in 7.7% of instances.
Pre-Crash Driver Action
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Manner of Collision
Rear-end collisions were the most dominant manner of collision in Glenwillow during 2021, accounting for 50% of all crashes. Sideswipe collisions in the same direction were the second most common, representing 28.6%. Angle, backing, and head-on collisions each accounted for 7.1% of crashes.
Manner of Collision
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, representing 71.4% of the 28 vehicles. Commercial vehicles, including 'Bus (16+ Passengers)', 'Cargo Van', and 'Semi-Tractor', collectively accounted for 14.3% of vehicles involved. Additionally, 'Pick up' vehicles made up 3.6% of the total.
Vehicle Type
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Person Injury Severity
Among the 27 persons for whom injury severity was recorded, 81.5% sustained no injuries. A total of 5 individuals, or 18.5%, sustained some form of injury. Specifically, 3.7% had minor injuries and 14.8% had possible 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
For the 26 individuals whose safety equipment use was recorded, 100% were using 'Shoulder and Lap Belt Used'. There were no recorded instances of individuals not using 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
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: Glenwillow, OH
- Total crash records analyzed: 14
- Total persons involved: 28
- Total vehicles involved: 28
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). "Glenwillow, 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/glenwillow/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