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CRASH INTELLIGENCE REPORT · AURORA, 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.
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GET: https://thatcarhitme.com/api/crash-data/reports/data/ohio/aurora/2021-annual-report
Yearly Traffic Safety Analysis
164 CRASHES IN
AURORA, OH
2021
In 2021, Aurora experienced 164 traffic crashes, resulting in 0 fatalities and 34 injuries. A significant proportion of these crashes, 83.5%, involved no injuries. The most frequent contributing factor among drivers was 'Following too Close / ACDA', accounting for 68 instances.
164
Total Crash Events
0
Persons Killed
34
Persons Injured
9.1%
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
15
Hit-and-Run Crashes — 2021
There were 15 hit-and-run crashes in Aurora during 2021, representing 9.1% of all crashes. It is important to note that hit-and-run status is based on the initial determination by the responding officer at the crash scene.
Vulnerable Road User Casualties
In 2021, 34 motorists sustained injuries in Aurora crashes, with 0 motorists killed. No pedestrians or cyclists were killed or injured during this period. The data indicates that all injuries were sustained by motorists.
0
Motorists Killed
34
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 Aurora peaked on Wednesdays with 29 incidents and most frequently occurred at 3 PM, recording 19 crashes. The majority of crashes, 120 out of 164, took place during daylight hours, while 37 crashes occurred in 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 164 crashes, 137 (83.5%) resulted in no injuries, while 27 crashes (16.5%) involved some level of injury. There were no fatal crashes recorded in Aurora during 2021, meaning no persons were killed.
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 occurred under clear weather (105 crashes), on dry road surfaces (137 crashes), and during daylight (120 crashes). However, 20 crashes happened in adverse weather conditions like rain or snow, and 27 crashes occurred on wet, icy, or snowy roads. Additionally, 37 crashes took place 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
The age groups 65+ and 55-64 were most represented among persons involved in crashes, with 58 and 53 individuals respectively. Ford vehicles were most frequently involved in crashes (37 instances), followed by Honda (32) and Toyota (31). These figures reflect the number of vehicles involved, not market share or popularity.
Top Vehicle Makes (306 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
13 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (393 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, 138 out of 164, occurred on the roadway itself. A total of 25 crashes (15.2%) happened off the main travel lanes, including 11 on the shoulder, 8 on the roadside, and 6 outside the trafficway. This indicates a notable portion of incidents involved vehicles leaving the immediate roadway.
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, 168 were at locations with no traffic control, 99 were at signalized locations, and 39 were at stop sign locations. This indicates that a significant portion of vehicles involved in crashes were at locations without active traffic signals.
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 among drivers was 'Following too Close / ACDA' with 68 instances, representing 22.2% of all vehicles with an attributed factor. 'Failure to Yield' was the second most common factor, cited for 26 vehicles (8.5%). 'Drove off Road' was also notable, contributing to 22 vehicle incidents (7.2%).
Driver Contributing Factor
Showing top 9 of 14 reported. 5 additional (5 total) not shown: Improper Passing, Ran Red Light, Ran Stop Sign, Stopped or Parked Illegally, Swerving to Avoid.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
Commercial / Truck Involvement
A total of 14 vehicles involved in crashes were commercial trucks, comprising 8.5% of all crashes. This included 11 'Other Commercial Vehicle' types and 3 'Semi-Tractor Trailer' types. These commercial vehicles represent a specific category of vehicles with potentially higher impact.
Driver Condition
Among drivers involved in crashes, 6 were noted to have a physical impairment, and 4 were reported to be under the influence of medications, drugs, or alcohol. These abnormal conditions collectively accounted for 10 drivers out of 292 total drivers.
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 drivers were noted to be distracted at the time of their crashes. Four drivers were distracted by something inside the vehicle, while two were distracted by something outside the vehicle. These represent specific instances of driver distraction recorded in the data.
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
Most crashes occurred on straight, level roadways, accounting for 119 incidents. Crashes on curves (level or grade) totaled 11, representing 6.7% of all crashes. Additionally, 38 crashes (23.2%) occurred on a grade, either straight or curved.
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 reported for vehicles was 'Straight Ahead' (145 instances), followed by 'Slowing or Stopped In Traffic' (83 instances). 'Making Left Turn' was the third most common action, occurring 22 times before a crash. These three actions collectively represent a large majority of reported pre-crash maneuvers.
Pre-Crash Driver Action
Showing top 9 of 13 reported. 4 additional (11 total) not shown: Overtaking/Passing, Negotiating a Curve, Other/Unknown, Driverless.
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 'Rear-end', accounting for 67 crashes or 40.9% of all incidents. 'Not Collision Between Two Vehicles in Transport' was the second most frequent, with 39 crashes (23.8%). 'Angle' collisions were also notable, occurring in 31 crashes (18.9%).
Manner of Collision
"Other" combines 1 smaller categories (2 records): Head-on (2).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records
Vehicle Type
Passenger cars and sport utility vehicles were the most dominant vehicle types involved, with 123 and 120 instances respectively. Commercial vehicles, including cargo vans, single unit trucks, and semi-tractors, collectively accounted for 17 vehicles. These commercial vehicles represented 5.6% of the total vehicles involved.
Vehicle Type
"Other" combines 5 smaller categories (11 records): Semi-Tractor (3), Other Vehicle (2), Motorcycle 2 Wheeled (2), Heavy Equipment (2), Van (9-15 Seats) (2).
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 292 individuals, representing 72.6% of all persons. Occupants accounted for the remaining 110 individuals (27.4%). No pedestrians or cyclists were listed among the person types.
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 402 persons involved in crashes, 360 sustained no injuries. A total of 34 persons (8.5%) sustained some level of injury, including 1 serious injury, 11 minor injuries, and 22 possible injuries. There were no fatalities among persons involved.
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
A high proportion of participants, 341 individuals, were using shoulder and lap belts. Only 2 participants were recorded as using no safety equipment. This indicates a high rate of safety equipment usage among those for whom data was available.
Occupant Safety Equipment
"Other" combines 2 smaller categories (4 records): None Used (2), Helmet Used (2).
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 (113 out of 164) involved two vehicles. Single-vehicle crashes accounted for 37 incidents, representing 22.6% of all crashes. Multi-vehicle incidents involving three or four vehicles were less common, with 13 and 1 crash respectively.
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: Aurora, OH
- Total crash records analyzed: 164
- Total persons involved: 402
- Total vehicles involved: 306
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). "Aurora, 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/aurora/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