ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · COVINGTON, 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/covington/2021-annual-report
Yearly Traffic Safety Analysis
43 CRASHES IN
COVINGTON, OH
2021
In 2021, Covington experienced a total of 43 crashes, resulting in 0 fatalities and 8 injuries. A notable finding is that 86% of these crashes resulted in no injuries, indicating a prevalence of property-damage-only incidents. The peak day for crashes was Tuesday, with 10 incidents, and the peak hour was 3 PM, recording 7 incidents.
43
Total Crash Events
0
Persons Killed
8
Persons Injured
14.0%
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
6
Hit-and-Run Crashes — 2021
In 2021, there were 6 hit-and-run crashes in Covington, accounting for 14% of all reported crashes. This hit-and-run status is based on the initial determination by the responding officer at the scene.
Vulnerable Road User Casualties
In 2021, there were no fatalities reported for pedestrians, cyclists, or motorists in Covington. Motorists accounted for all 8 injuries, with no injuries reported for pedestrians, cyclists, or other road users.
0
Motorists Killed
8
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 data for Covington in 2021 indicates that Tuesdays experienced the highest number of incidents, with 10 crashes. The peak hour for crashes was 3 PM, recording 7 incidents. A majority of crashes, 32 out of 43, 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 43 crashes in Covington during 2021, 86% resulted in no injuries, indicating a high proportion of property-damage-only incidents. Injury crashes accounted for 6 incidents, or approximately 14% of the total. There were no fatal crashes reported, resulting in 0 fatalities.
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
A significant portion of crashes occurred under favorable conditions, with 26 crashes in clear weather, 38 on dry roads, and 32 during daylight hours. Conversely, 3 crashes occurred in rain, 5 on wet road surfaces, and 9 during dark conditions on lighted roadways.
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 persons involved in crashes, the 26-34 age group was most represented with 16 individuals, closely followed by the 35-44 age group with 15 individuals. Ford vehicles were involved in 18 crashes, making it the most frequent vehicle make, with Chevrolet following at 16 involvements.
Top Vehicle Makes (78 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
3 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (88 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, 39 out of 43, occurred on the roadway. A total of 4 crashes, representing approximately 9.3% of all incidents, occurred off the main travel lanes, specifically on the shoulder, roadside, or outside the trafficway.
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
Among vehicles involved in crashes, the dominant traffic control environment was 'No Control,' affecting 42 vehicles. Crashes involving vehicles at signalized locations accounted for 20 vehicles, while 42 vehicles were involved at uncontrolled locations. An additional 16 vehicles were involved in crashes at stop sign controlled intersections.
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 frequent contributing factors among drivers involved in crashes were 'Failure to Yield' and 'Following too Close / ACDA', each cited for 9 vehicle involvements. 'Drove off Road' was identified as a factor for 7 vehicles, and 'Other Improper Action' for 6 vehicles. These factors highlight common driver behaviors preceding crashes.
Driver Contributing Factor
Showing top 9 of 12 reported. 3 additional (3 total) not shown: Swerving to Avoid, Ran Stop Sign, Improper Start From a Parked Position.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Driver Condition
Among drivers involved in crashes, 4 individuals were reported as being 'Under the Influence of Medications / Drugs / Alcohol'. This represents approximately 5.5% of all drivers for whom a condition was recorded, excluding those listed as '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
Distraction was a reported factor for 15 drivers involved in crashes. The most common specific distraction was 'Other distraction outside the vehicle' for 10 drivers, followed by 'Other distraction inside the vehicle' for 3 drivers, and 'Other activity with an electronic device' for 2 drivers.
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
All crashes occurred on straight road alignments, with no incidents reported on curves. Four crashes, or approximately 9.3% of the total, occurred on a straight grade alignment, while the remaining 39 occurred on straight level 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 reported for vehicles was 'Straight Ahead,' accounting for 39 vehicle involvements. 'Slowing or Stopped In Traffic' was the second most frequent action with 14 vehicles, followed by 'Making Left Turn' with 8 vehicles immediately prior to the crash.
Pre-Crash Driver Action
Showing top 9 of 11 reported. 2 additional (2 total) not shown: 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 most dominant manner of collision was 'Angle,' accounting for 14 crashes or 32.6% of all incidents. 'Not Collision Between Two Vehicles in Transport' was the second most frequent, with 12 crashes (27.9%), followed by 'Rear-end' collisions at 9 crashes (20.9%).
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 43 of the 78 vehicles. Sport utility vehicles (SUV) and pickup trucks were also frequently involved, with 15 and 11 instances respectively. Commercial vehicles, including semi-tractors and cargo vans, were involved in 5 incidents.
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 dominant role among persons involved in crashes, with 73 individuals. Occupants accounted for the remaining 17 individuals, making up approximately 18.9% of all persons recorded. There were no pedestrians or cyclists involved in crashes.
Person Type
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Person Injury Severity
Among all persons involved in crashes, 8 individuals sustained injuries, comprising 6 minor injuries and 2 possible injuries. This means approximately 8.9% of individuals involved in crashes sustained some level of injury. No fatalities were reported among any 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
The vast majority of participants, 79 individuals, were reported to be using shoulder and lap belts. However, 5 individuals were noted as using no safety equipment, representing approximately 5.6% of all participants. An additional 5 participants had their safety equipment use listed as 'Other/Unknown'.
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, 33 out of 43, involved two vehicles. Single-vehicle crashes accounted for 9 incidents, representing approximately 20.9% of all crashes. There was also 1 crash that 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 5, 2026
Data Coverage
- Reporting period: 2021-01-01 through 2021-12-31 (365 days)
- Geographic scope: Covington, OH
- Total crash records analyzed: 43
- Total persons involved: 90
- Total vehicles involved: 78
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). "Covington, OH Crash Intelligence Report: 2021." Published July 5, 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/covington/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 5, 2026 · All rights reserved