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CRASH INTELLIGENCE REPORT · CHATFIELD, 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/chatfield/2021-annual-report
Yearly Traffic Safety Analysis
11 CRASHES IN
CHATFIELD, OH
2021
In Chatfield, Ohio, during 2021, there were a total of 11 crashes, resulting in 0 fatalities and 7 injuries. A significant majority of crashes, 81.8%, were classified as 'Not Collision Between Two Vehicles in Transport', indicating a prevalence of single-vehicle incidents or collisions with objects other than other vehicles. There were 2 crashes involving impaired driving and 2 crashes involving speeding.
11
Total Crash Events
0
Persons Killed
7
Persons Injured
0
Fatal Crash Events
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
Vulnerable Road User Casualties
In 2021, there were 0 pedestrians killed and 0 pedestrians injured in Chatfield crashes. Similarly, 0 cyclists were killed and 0 cyclists injured. All 7 injuries recorded were sustained by motorists, with no motorist fatalities reported.
0
Motorists Killed
7
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 Chatfield in 2021 most frequently occurred on Fridays and Thursdays, with 3 crashes each. The peak hour for crashes was 8 AM, accounting for 2 incidents. A majority of crashes, 6 out of 11, happened during daylight hours, while 4 crashes occurred in dark conditions and 1 during dawn/dusk.
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 11 crashes recorded, 8 (72.7%) resulted in no injuries. There was 1 serious injury crash (9.1%) and 2 possible injury crashes (18.2%). No fatal crashes were reported in Chat0field during this period, meaning no crash events resulted in a death.
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
Most crashes in Chatfield occurred under clear weather conditions (8 incidents) and on dry road surfaces (8 incidents). Six crashes took place during daylight hours. Adverse conditions were present in 3 crashes under cloudy weather, 3 crashes on wet road surfaces, and 4 crashes in dark 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
Top Vehicle Makes (13 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
1 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (19 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)
A notable portion of crashes occurred off the main travel lanes, with 2 crashes on the roadside and 2 on the shoulder. This means 4 out of 11 crashes (36.4%) involved vehicles leaving the roadway. The remaining 7 crashes occurred on the roadway itself.
Crash Location (First Harmful Event)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Driver Condition
Beyond drivers reported as 'Apparently Normal', two drivers were noted to be 'Under the Influence of Medications / Drugs / Alcohol', and one driver was described as having 'Fell Asleep; Fainted; Fatigued; etc.'. These three instances represent drivers with abnormal conditions at the time of the crash.
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
Two instances of driver distraction were identified: one involved 'Other distraction inside the vehicle' and another was attributed to a 'Passenger'. These two instances account for distractions other than 'Not Distracted' or 'Other/Unknown' for the 13 drivers involved.
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, 8 out of 11, occurred on straight, level road alignments. Three crashes took place on straight grades, indicating that 27.3% of incidents occurred on sloped 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 action for drivers was 'Straight Ahead', accounting for 10 out of 13 recorded actions. Other actions included 'Making Right Turn' (1 instance), 'Overtaking/Passing' (1 instance), and 'Slowing or Stopped In Traffic' (1 instance).
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
The dominant manner of collision was 'Not Collision Between Two Vehicles in Transport', accounting for 9 of the 11 crashes (81.8%). The remaining crashes included 1 'Angle' collision and 1 'Sideswipe; same direction' collision.
Manner of Collision
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Vehicle Type
Sport Utility Vehicles were the most common vehicle type involved, with 5 instances, followed by Pick up trucks with 4 instances. Passenger Cars accounted for 3 vehicles, and 1 Single Unit Truck was involved.
Vehicle Type
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 13 individuals. Occupants accounted for the remaining 8 persons, and there were no pedestrians or cyclists 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 21 persons involved, 14 sustained no injuries. Seven persons received injuries, with 1 person sustaining a serious injury and 6 persons sustaining possible injuries. No fatalities were recorded among persons involved in these crashes.
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 persons in vehicles, 14 were using 'Shoulder and Lap Belt Used' and 3 were using 'Child Restraint System - Forward Facing'. Two persons were recorded as using 'None Used', representing 9.5% of all persons with specified safety equipment use.
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 were single-vehicle incidents, accounting for 9 out of 11 crashes (81.8%). The remaining 2 crashes involved two vehicles each, with no large multi-vehicle pile-ups recorded.
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: Chatfield, OH
- Total crash records analyzed: 11
- Total persons involved: 21
- Total vehicles involved: 13
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). "Chatfield, 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/chatfield/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