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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
55 CRASHES IN
IOWA, IA
2015
In 2015, Adams County recorded 55 traffic crashes, resulting in one fatality and 18 injuries. A significant finding from the data is the high frequency of collisions involving animals, which were cited as a contributing factor in 29.1% of all crashes. The single fatal crash occurred in August.
55
Total Crash Events
1
Persons Killed
18
Persons Injured
1
Fatal Crash Events
Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) 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
All crash casualties involved motor vehicle occupants, as there were no recorded fatalities or injuries involving pedestrians or cyclists. In total, one motorist was killed and 18 motorists were injured during this period.
1
Motorists Killed
18
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
Crash occurrences peaked on Thursdays, with 11 incidents recorded on this day of the week. The evening hour of 9 PM was the single most frequent time for crashes, accounting for 9 events. August saw the highest monthly crash total with 9 incidents, including the year's only fatality.
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
Out of 55 total crashes, 18 incidents resulted in an injury or fatality, while the majority, 67.3% (37 crashes), involved no injuries. One crash was classified as fatal, leading to one death. An additional 17 crashes resulted in either minor or possible injuries.
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
Encounters with animals were the leading contributing factor, cited in 16 crashes, which constitutes 29.1% of all incidents. Speed-related issues were also prominent, with 'Exceeded authorized speed' noted in 6 crashes (10.9%) and 'Driving too fast for conditions' in another 3 crashes (5.5%).
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 favorable conditions, with 58.2% happening in daylight and 63.6% on dry road surfaces. Clear weather was reported for 26 of the 55 crashes. Adverse conditions were less frequent, with rain present in 5 crashes and snow or ice contributing to 3 incidents.
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
The most frequently involved vehicle makes were Ford (17 vehicles), Chevrolet (14 vehicles), and Dodge (9 vehicles). Among the 96 individuals involved in crashes, the 65+ age group was the largest demographic with 18 people, followed closely by the 16-20 age group with 16 people.
Top Vehicle Makes (74 vehicles)
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
5 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (68 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 most common major cause attributed to crashes was an animal in the roadway, accounting for 16 incidents. 'Exceeded authorized speed' was the second-leading cause with 6 crashes. Other significant causes included running off the road and driving too fast for conditions, each cited in 3 crashes.
Major Cause
Showing top 9 of 23 reported. 14 additional (15 total) not shown: Ran Stop Sign, Passing: Other passing (explain in narrative), Ran off road - right, Separation of units, Swerving/Evasive Action, Driver Distraction: Other electronic device activity, Driver Distraction: Other interior distraction, Driver Distraction: Reaching for object(s)/fallen object(s), Failed to keep in proper lane, FTYROW: From parked position, FTYROW: From stop sign, FTYROW: Making left turn, FTYROW: Other (explain in narrative), Other (explain in narrative): No improper action.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
First Harmful Event
The most frequent initial event in a crash sequence was a collision with an animal, which occurred in 16 incidents. The second most common event was a collision with another vehicle in traffic, documented in 13 crashes. Run-off-road events also occurred, leading to collisions with a ditch (5 crashes) or an overturn (4 crashes).
First Harmful Event
Showing top 9 of 14 reported. 5 additional (5 total) not shown: Collision with fixed object: Ground, Non-collision events: Vehicle went airborne, Collision with fixed object: Building, Collision with: Re-entering roadway, Collision with: Struck/struck by object/cargo/person from other vehicle.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Roadway Junction / Feature
The majority of crashes, 35 out of 55, occurred at non-intersection locations. Intersections accounted for 13 crashes, with 8 of those taking place at four-way intersections and 5 at T-intersections.
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 common vehicle type involved in collisions, accounting for 34 of the 74 vehicles documented. Four-tire light trucks and pickups were the second most prevalent with 18 vehicles, followed by sport utility vehicles with 8. Three tractor-trailers and one motorcycle were also involved in crashes.
Vehicle Type
"Other" combines 3 smaller categories (3 records): Passenger van (seats 9-15) (1), Single unit truck (2-axle, 6-tire) (1), 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 vast majority of crashes occurred in areas where no traffic controls were present, a situation noted in 52 instances. For crashes where traffic controls were a factor, stop signs were the most common device, present in 11 instances.
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 vehicle damage, recorded for 14 vehicles. Rear impacts, often indicative of rear-end collisions, were the second most frequent with 7 instances, followed by impacts to the front-passenger side corner, also with 7 instances.
Most Damaged Area
"Other" combines 8 smaller categories (17 records): Other (explain in narrative) (3), Driver side - middle (3), Driver side - front (3), Passenger side - middle (2), Passenger side - front (2), Driver side - rear (2), Non-collision/no damage (1), Rear - passenger side corner (1).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Crashes by City
Crashes were most concentrated in Corning, which saw 18 incidents, followed by Prescott with 6 and Nodaway with 2. A significant portion of crashes, 29 out of the total 55, occurred in unincorporated areas outside of these listed municipalities.
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 predominantly occurred on paved roads, which accounted for 48 of the 55 total incidents. Seven crashes, representing 12.7% of the total, took place on unpaved surfaces such as gravel or dirt roads.
Paved vs Unpaved Road
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Property Damage
The most common estimated property damage cost fell within the $1,500 to $7,500 range, which was assigned to 36 crashes. Sixteen crashes resulted in damages estimated between $7,500 and $25,000, while only one crash was estimated to have 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, non-collision events were the dominant crash type, accounting for 34 incidents, or 61.8% of the total. Among multi-vehicle crashes, the most common type was a rear-end collision, which occurred in 7 incidents (12.7%).
Manner of Collision
"Other" combines 2 smaller categories (2 records): Sideswipe, opposite direction (1), Angle, oncoming left turn (1).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Pre-Crash Driver Action
The most common action for vehicles immediately before a crash was moving straight ahead, which was the case for 47 of the 74 vehicles involved. Turning left was the next most frequent pre-crash action, recorded for 6 vehicles.
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 96 individuals involved in crashes, the vast majority were drivers, accounting for 91 people. The remaining 5 individuals were passengers. No other person types, such as pedestrians or cyclists, were recorded in any crash.
Person Type
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Person Injury Severity
A total of 19 people sustained injuries or were killed in crashes during this period. This included one fatality, 4 individuals with minor injuries, and 14 with possible injuries. The remaining individuals involved were not injured.
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 small subset of 15 vehicle occupants for whom safety equipment use was recorded, 10 were noted as using a shoulder and lap belt. However, 5 individuals in this group were recorded as using no safety equipment at all.
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 37 of the 55 incidents (67.3%). Crashes involving two vehicles occurred 17 times, and there was one reported 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: 55
- Total persons involved: 96
- Total vehicles involved: 74
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