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CRASH INTELLIGENCE REPORT · IOWA, IA · 2015
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/iowa/statewide/2015-annual-report
Yearly Traffic Safety Analysis
61 CRASHES IN
IOWA, IA
2015
In 2015, Winnebago County recorded 61 traffic crashes, which resulted in 29 injuries and zero fatalities. A significant portion of these incidents, over half (54.1%), involved only a single vehicle. The most frequently cited cause for crashes was reckless or careless driving.
61
Total Crash Events
0
Persons Killed
29
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: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Aggregate counts from crash, person, and vehicle records
Vulnerable Road User Casualties
In 2015, there were no fatalities among any road users in Winnebago County. A total of 28 motorists sustained injuries in crashes. Additionally, one pedestrian was injured during this period, while no cyclists were reported as injured or killed.
0
Pedestrians Killed
0
Motorists Killed
1
Pedestrians Injured
28
Motorists Injured
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
Crashes in Winnebago County occurred most frequently on Thursdays, which saw 15 incidents in 2015. The single busiest hour for crashes was the 7 p.m. hour, with 6 recorded incidents, though several afternoon and evening hours also saw high volumes. While the majority of crashes (35) happened during daylight hours, a notable number (21) occurred in dark or dusk conditions.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash date field aggregated by weekday
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Of the 61 total crashes, 59% (36 crashes) resulted in no injuries, meaning they were property-damage-only events. The remaining 41% (25 crashes) involved at least one injury, categorized as serious, minor, or possible. There were no fatal crashes recorded in Winnebago County during this period.
Outcome by Severity (Crash Events)
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Most severe injury per crash record
Top Contributing Factors
The most frequently cited contributing factor was reckless, erratic, careless, or negligent vehicle operation, attributed to 7 crashes (11.5%). This was followed by drivers losing control (6 crashes, 9.8%) and failure to yield the right-of-way at an uncontrolled intersection (5 crashes, 8.2%). Driver distraction, specifically being inattentive or lost in thought, was noted in 3 incidents.
Officer-Reported Primary Contributing Cause
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
A majority of crashes occurred in ideal driving conditions, with 63.9% happening in clear weather and 65.6% on dry road surfaces. Most incidents (57.4%) also took place during daylight hours. Crashes in adverse weather, such as rain, snow, or severe winds, accounted for 10 incidents, while crashes on non-dry road surfaces like ice, snow, or wet pavement occurred in 11 instances.
Weather
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Weather condition at time of crash
Lighting
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Lighting condition field
Road Surface
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Road surface condition field
Vehicles & Demographics
Among the 119 people involved in crashes, the 26-34 age group was the most represented, with 25 individuals. The most common vehicle makes involved in these incidents were Ford, with 22 vehicles, and Chevrolet, with 20 vehicles. Toyota vehicles were involved in 4 crashes.
Top Vehicle Makes (90 vehicles)
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
9 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (77 persons with recorded sex)
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Person-level records linked to crash events
Major Cause
The primary major cause of crashes was identified as reckless, erratic, careless, or negligent driving, cited in 7 incidents. Losing control of the vehicle was the second most common cause, contributing to 6 crashes. Failure to yield the right-of-way at an uncontrolled intersection was the third leading factor, accounting for 5 crashes.
Major Cause
Showing top 9 of 24 reported. 15 additional (21 total) not shown: FTYROW: Making left turn, Ran off road - right, Ran off road - straight, Followed too close, Failed to yield to emergency vehicle, FTYROW: To pedestrian, Crossed centerline (undivided), Driver Distraction: Other interior distraction, FTYROW: From parked position, Aggressive driving/road rage, Made improper turn, Operator inexperience, Ran off road - left, Ran Traffic Signal, Swerving/Evasive Action.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
First Harmful Event
The most common first harmful event was a collision with another vehicle in traffic, which occurred in 23 crashes (37.7%). Collisions with a fixed object were also frequent, with hitting a ditch being the most cited event in this category (12 crashes). Overturn or rollover events occurred in 6 crashes, and collisions with an animal were the first harmful event in 4 incidents.
First Harmful Event
Showing top 9 of 17 reported. 8 additional (8 total) not shown: Collision with: Other non-fixed object (explain in narrative), Collision with: Parked motor vehicle, Collision with fixed object: Curb/island/raised median, Miscellaneous events: Hit and run, Non-collision events: Jackknife, Non-collision events: Other non-collision (explain in narrative), Collision with fixed object: Building, Collision with fixed object: Bridge/bridge rail parapet.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Roadway Junction / Feature
Crashes were almost evenly split between intersection and non-intersection locations. A total of 28 crashes (45.9%) occurred at intersections, with four-way intersections being the most common type (18 crashes). An equal number of crashes (28) occurred at non-intersection segments of the roadway.
Roadway Junction / Feature
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Vehicle Type
Passenger cars were the most frequently involved vehicle type, accounting for 38 of the 90 vehicles in crashes. Light trucks and pickups (17 vehicles) and sport utility vehicles (16 vehicles) were also commonly involved. Motorcycles were involved in 3 crashes, and one crash involved a tractor/semi-trailer.
Vehicle Type
"Other" combines 1 smaller categories (1 records): Single-unit truck (>= 3 axles) (1).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Traffic Control Device
The majority of vehicles involved in crashes were in areas with no traffic controls present, a situation noted for 62 of the vehicles with this data. Where controls were present, stop signs were the most common type, governing 10 vehicles involved in crashes. Traffic signals were a factor for 5 vehicles.
Traffic Control Device
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Most Damaged Area
Frontal impacts were the most common area of damage, with 17 vehicles sustaining damage to the front and another 10 to the front passenger-side corner. Rear-end damage was noted for 8 vehicles. Side impacts were also significant, with 8 vehicles damaged on the passenger side middle and 4 on the driver side middle.
Most Damaged Area
"Other" combines 7 smaller categories (22 records): Driver side - rear (5), Driver side - middle (4), Driver side - front (3), Passenger side - rear (3), Rear - driver side corner (3), Rear - passenger side corner (2), Other (explain in narrative) (2).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Crashes by City
Within Winnebago County, Forest City had the highest volume of crashes with 17 incidents. Lake Mills followed with 8 crashes, and Buffalo Center reported 4 crashes. A significant number of the county's total crashes occurred outside of these specified municipal areas.
Crashes by City
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Paved vs Unpaved Road
Crashes on unpaved roads, such as gravel or dirt, accounted for 12 of the 60 crashes where surface type was specified, representing 20% of these incidents. The majority of crashes, 48 in total, occurred on paved roadways.
Paved vs Unpaved Road
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Roadway Contributing Factor
In cases where a roadway factor was noted as contributing to a crash, the most common was the surface condition, such as being wet or icy, which was cited in 6 incidents. A slippery, loose, or worn surface was a factor in 2 crashes, and a work zone was noted as a roadway-related factor in another 2 crashes.
Roadway Contributing Factor
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Driver Condition
Among drivers for whom a condition other than 'apparently normal' was recorded, being under the influence of alcohol was the most frequent, noted for 8 drivers. Emotional states and medical conditions were each cited for 3 drivers. Additionally, 2 drivers were noted as being asleep or fatigued at the time of their crash.
Driver Condition
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Property Damage
The estimated property damage for the majority of crashes (48 incidents) fell within the $1,500 to $7,500 range. Eight crashes resulted in damages between $7,500 and $25,000. Two crashes were estimated to have caused property damage exceeding $25,000.
Property Damage
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Manner of Collision
Single-vehicle crashes, classified as non-collisions, were the predominant type, accounting for 33 incidents or 54.1% of all crashes. Among multi-vehicle crashes, broadside (front-to-side) collisions were the most common, with 11 incidents (18%). Rear-end collisions occurred in 7 crashes, making up 11.5% of the total.
Manner of Collision
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Pre-Crash Driver Action
For the majority of vehicles involved in crashes, the pre-crash action was moving essentially straight, which was the case for 65 of the 90 vehicles (72.2%). Turning left was the next most common action, recorded for 9 vehicles. Slowing or stopping was the action for 3 vehicles prior to their crash.
Pre-Crash Driver Action
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Person Type
Of the 119 individuals involved in crashes, the vast majority (115 people, or 96.6%) were drivers. Passengers accounted for 3 of the individuals involved, and one person was a pedestrian.
Person Type
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Person Injury Severity
Out of 119 people involved in crashes, 29 sustained some level of injury. This included 4 individuals with serious injuries, 5 with minor injuries, and 20 with possible injuries. No fatalities were recorded among any persons involved in crashes during this period.
Person Injury Severity
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Occupant Safety Equipment
Among the 24 vehicle occupants for whom safety equipment use was specified, 6 individuals (25%) were not using any restraints at the time of the crash. The most common restraint used was a shoulder and lap belt, reported for 16 occupants.
Occupant Safety Equipment
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Person-level records linked to crash events
Vehicles Per Crash
Single-vehicle crashes were the most frequent type, accounting for 33 of the 61 total incidents (54.1%). Two-vehicle collisions were also common, with 27 incidents recorded. There was one crash that involved three vehicles.
Vehicles Per Crash
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Data Sources & Methodology
Primary Data Source
All crash data in this report is sourced from Iowa Crash Data, accessed programmatically via the ArcGIS 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: ArcGIS 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: 2015-01-01 through 2015-12-31
- Report generated: September 9, 2026
Data Coverage
- Reporting period: 2015-01-01 through 2015-12-31 (365 days)
- Geographic scope: iowa, IA
- Total crash records analyzed: 61
- Total persons involved: 119
- Total vehicles involved: 90
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). "iowa, IA Crash Intelligence Report: 2015." Published September 9, 2026. Reporting period: 2015-01-01 to 2015-12-31. Data source: Iowa Crash Data, ArcGIS Open Data. Available at: https://thatcarhitme.com/crash-data/iowa/statewide/2015-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: Iowa Crash Data · ArcGIS
Period: 2015-01-01 – 2015-12-31
Generated: September 9, 2026 · All rights reserved