ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · CARDINGTON, 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/cardington/2021-annual-report
Yearly Traffic Safety Analysis
24 CRASHES IN
CARDINGTON, OH
2021
In 2021, Cardington experienced 24 traffic crashes, resulting in 0 fatalities and 3 injuries. A significant 87.5% of these crashes, totaling 21 incidents, resulted in no injuries. The most frequent manner of collision, accounting for 50% of crashes, was classified as 'Not Collision Between Two Vehicles in Transport'.
24
Total Crash Events
0
Persons Killed
3
Persons Injured
12.5%
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
3
Hit-and-Run Crashes — 2021
There were 3 hit-and-run crashes in Cardington in 2021, representing 12.5% of all crashes. Hit-and-run status is based on the responding officer's initial determination.
Vulnerable Road User Casualties
In 2021, there were 0 pedestrians killed and 0 pedestrians injured in Cardington crashes. Similarly, 0 cyclists were killed and 0 cyclists were injured. All 3 reported injuries were sustained by motorists, with 0 motorists killed.
0
Motorists Killed
3
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
Traffic crashes in Cardington in 2021 showed a peak on Tuesdays, with 7 incidents reported. The peak hour for crashes was 3 PM, accounting for 3 incidents. The majority of crashes, 66.7%, occurred during daylight hours, while 33.3% occurred during dark or dawn/dusk 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
Out of 24 crashes, 21 (87.5%) resulted in no injuries. There was 1 serious injury crash (4.2%), 1 minor injury crash (4.2%), and 1 possible injury crash (4.2%). There were no fatal crashes, and consequently, 0 fatalities reported.
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 2021 occurred under clear weather conditions (18 incidents or 75%) and on dry road surfaces (21 incidents or 87.5%). Daylight was the prevailing lighting condition for 16 crashes (66.7%). Adverse conditions such as rain or snow accounted for 3 crashes, and wet or snowy road surfaces for 3 crashes.
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 (36 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 (44 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)
Of the 24 crashes, 17 (70.8%) occurred on the roadway. Crashes occurring off the travel lanes, specifically on the roadside or shoulder, accounted for 7 incidents (29.2%).
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 majority of traffic control instances associated with crashes were 'No Control', accounting for 28 out of 35 instances. Signalized locations were associated with 3 instances, while uncontrolled locations (No Control, Stop Sign, Roundabout) collectively represented 32 instances, or 91.4% of reported traffic control types.
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
Among the specific contributing factors identified, 'Drove off Road' was the most frequent, accounting for 4 instances. 'Following too Close / ACDA' was noted in 3 instances, while 'Failure to Yield' and 'Left of Center' each contributed to 2 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
Out of 34 drivers, 3 exhibited abnormal conditions at the time of the crash. Two drivers were reported 'Under the Influence of Medications / Drugs / Alcohol', and 1 driver was noted as having 'Fell Asleep; Fainted; Fatigued; etc.'.
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
Six instances of driver distraction were specifically identified among drivers. 'Other activity with an electronic device' was the most frequent, noted in 3 instances. 'Other distraction inside the vehicle' occurred in 2 instances, and 'Talking on hands-free communication device' in 1 instance.
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, 17 (70.8%), occurred on 'Straight Level' road alignments. Crashes on 'Straight Grade' sections accounted for 6 incidents (25%), while 1 crash (4.2%) occurred on a 'Curve Level' alignment.
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 among drivers was 'Straight Ahead', accounting for 22 out of 34 instances. 'Making Left Turn' was the next most frequent action with 4 instances. 'Driverless' and 'Slowing or Stopped In Traffic' each accounted for 2 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
The dominant manner of collision was 'Not Collision Between Two Vehicles in Transport', representing 12 crashes or 50% of the total. 'Rear-end' collisions were the second most frequent, accounting for 5 incidents or 20.8% 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 most common vehicle type involved, accounting for 17 out of 36 vehicles. Sport Utility Vehicles and Pickups combined represented 17 vehicles, making up 47.2% of all vehicles 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 34 individuals (77.3% of total persons). Occupants (passengers) accounted for the remaining 10 individuals (22.7%).
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 44 persons involved in crashes, 41 (93.2%) sustained no injuries. There was 1 person with a serious injury, 1 with a minor injury, and 1 with a possible injury. No fatalities were recorded among 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 43 instances where safety equipment use was known, 33 persons used 'Shoulder and Lap Belt'. There were 4 instances where 'None Used' was reported, and 3 instances of 'Shoulder Belt Only Used'.
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
Single-vehicle crashes were the most common, accounting for 13 out of 24 incidents (54.2%). Two-vehicle crashes represented 10 incidents (41.7%), while only 1 crash 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 7, 2026
Data Coverage
- Reporting period: 2021-01-01 through 2021-12-31 (365 days)
- Geographic scope: Cardington, OH
- Total crash records analyzed: 24
- Total persons involved: 44
- Total vehicles involved: 36
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). "Cardington, OH Crash Intelligence Report: 2021." Published July 7, 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/cardington/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 7, 2026 · All rights reserved