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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
694 CRASHES IN
IOWA, IA
2015
In 2015, Marshall County recorded 694 traffic crashes, resulting in 4 fatalities and 214 injuries. These incidents involved 1,126 vehicles and 1,355 people. A notable finding from the data is that collisions with animals were the single most cited contributing factor, accounting for 143 crashes, or over 20% of the total.
694
Total Crash Events
4
Persons Killed
214
Persons Injured
4
Fatal Crash Events
Note: "Persons Killed" (4) counts individual fatalities across all crash events. "Fatal" in the severity table below (4) 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 total, 4 people were killed and 214 were injured in crashes. Motorists comprised the largest group of casualties, with 3 killed and 204 injured. One cyclist was killed and 3 were injured, while 5 pedestrians sustained injuries but none were fatal.
0
Pedestrians Killed
1
Cyclists Killed
3
Motorists Killed
0
Other Killed
5
Pedestrians Injured
3
Cyclists Injured
204
Motorists Injured
2
Other 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 Marshall County occurred most frequently on Thursdays, which saw 116 incidents. The most common time for a crash was the 5 p.m. hour, with 59 events recorded during this period. The majority of collisions, 399 out of 694, happened during daylight hours.
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 694 total crashes, 522 (75.2%) resulted in no injuries, involving only property damage. The remaining incidents included 168 crashes with possible, minor, or serious injuries. Four separate crashes were fatal, leading to a total of 4 deaths.
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 common contributing factor identified in crashes was an animal in the roadway, cited in 143 incidents (20.6%). Other leading factors included drivers losing control (55 crashes, 7.9%) and failure to yield the right-of-way from a stop sign (52 crashes, 7.5%).
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 significant majority of crashes occurred in ideal driving conditions. Specifically, 405 crashes (58.3%) happened on dry road surfaces, 352 (50.7%) in clear weather, and 399 (57.5%) during daylight hours. Crashes in adverse conditions included 42 in rain, 36 in snow, and 63 on wet road surfaces.
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 1,355 people involved in crashes, the 26-34 age group was the most represented with 214 individuals, followed closely by the 16-20 age group with 201 individuals. The most frequent vehicle makes involved in crashes were Chevrolet (239 vehicles) and Ford (184 vehicles), followed by Dodge (97 vehicles).
Top Vehicle Makes (1,126 vehicles)
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
101 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (1,010 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 leading major cause attributed to crashes was contact with an animal, which was cited in 143 incidents. Following this, losing control of the vehicle was listed as the cause for 55 crashes. Failure to yield the right-of-way from a stop sign was the third most frequent cause, contributing to 52 crashes.
Major Cause
Showing top 9 of 48 reported. 39 additional (229 total) not shown: Ran Traffic Signal, Ran Stop Sign, Driver Distraction: Other interior distraction, FTYROW: From driveway, Other (explain in narrative): No improper action, Operating vehicle in an reckless, erratic, careless, negligent manner, Driver Distraction: Exterior distraction, Improper or erratic lane changing, Exceeded authorized speed, Failed to keep in proper lane, Driver Distraction: Reaching for object(s)/fallen object(s), Swerving/Evasive Action, Made improper turn, Passing: Other passing (explain in narrative), Driver Distraction: Inattentive/lost in thought, FTYROW: Other (explain in narrative), Passing: With insufficient distance/inadequate visibility, Improper Backing, Driver Distraction: Adjusting devices (radio, climate), Other (explain in narrative): Vision obstructed, Traveling wrong way or on wrong side of road, FTYROW: At uncontrolled intersection, Crossed centerline (undivided), FTYROW: From parked position, Passing: Through/around barrier, FTYROW: To pedestrian, Driver Distraction: Manual operation of an electronic communication device, FTYROW: From yield sign, Ran off road - right, Driver Distraction: Passenger, Over correcting/over steering, Driver Distraction: Other electronic device activity, Crossed median (divided), Equipment failure, Illegally Parked/Unattended, Separation of units, Driver Distraction: Talking on a hand-held device, Failed to yield to emergency vehicle, Passing: On wrong side.
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, occurring in 355 crashes. The second most frequent event was a collision with an animal, recorded in 142 crashes. Collisions with fixed objects were also common, with hitting a ditch being the most frequent among them (64 crashes).
First Harmful Event
Showing top 9 of 28 reported. 19 additional (44 total) not shown: Non-collision events: Non-contact vehicle (phantom), Collision with fixed object: Tree, Non-collision events: Fell/jumped from vehicle, Collision with fixed object: Traffic sign support, Other (explain in narrative), Collision with: Other non-fixed object (explain in narrative), Collision with fixed object: Embankment, Collision with fixed object: Building, Miscellaneous events: Hit and run, Collision with fixed object: Landscape/shrubbery, Collision with fixed object: Fire hydrant, Collision with fixed object: Fence, Collision with fixed object: Other fixed object (explain in narrative), Collision with fixed object: Other post/pole/support (explain in narrative), Collision with: Railway vehicle/train, Collision with fixed object: Guardrail - face, Collision with fixed object: Curb/island/raised median, Collision with: Thrown or falling object, Non-collision events: Vehicle went airborne.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Roadway Junction / Feature
Crashes were more likely to occur on non-intersection road segments, which accounted for 286 incidents. Four-way intersections were the most common junction type for crashes, with 176 incidents occurring at these locations. T-intersections were the site of another 36 crashes.
Roadway Junction / Feature
Showing top 9 of 18 reported. 9 additional (14 total) not shown: Interchange-related: On-ramp merge area, Intersection: Intersection with ramp, Non-intersection: Crossover-related, Interchange-related: Off-ramp, Non-intersection: Railroad grade crossing, Interchange-related: Off-ramp, diverge area, Intersection: Roundabout, Interchange-related: On-ramp, Interchange-related: Mainline, between ramps.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Vehicle Type
Passenger cars were the most prevalent vehicle type involved in crashes, accounting for 548 of the 1,126 vehicles. Sport utility vehicles were the second most common type with 212 vehicles, followed by four-tire light trucks and pickups with 189 vehicles. Larger commercial vehicles, such as tractor-trailers, were involved in 21 crashes.
Vehicle Type
"Other" combines 13 smaller categories (30 records): Cargo/panel van (6), Single unit truck (2-axle, 6-tire) (6), School bus (seats > 15) (5), Small school bus (seats 9-15) (3), Farm equipment (explain in narrative) (2), Farm tractor (1), Train (1), Truck tractor (bobtail) (1), Truck/trailer (1), Passenger van (seats 9-15) (1), Other light truck (<=10000 lbs) (1), Other (explain in narrative) (1), Maintenance/construction vehicle (1).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Traffic Control Device
Data on a per-vehicle basis shows that 612 vehicles were involved in crashes where no traffic controls were present. For crashes occurring at controlled locations, stop signs were the most common device, governing 187 of the involved vehicles. Traffic signals were present for 155 vehicles involved in collisions.
Traffic Control Device
"Other" combines 4 smaller categories (8 records): Warning sign (3), Yield signs (3), Traffic director (person) (1), Railway crossing device (1).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Most Damaged Area
The front of the vehicle was the most common area of impact, recorded as the most damaged area for 251 vehicles. Rear impacts were noted in 96 instances, suggesting a significant number of rear-end collisions. Side impacts were also frequent, with damage to the driver-side middle (69 vehicles) and passenger-side middle (60 vehicles) being common.
Most Damaged Area
"Other" combines 10 smaller categories (232 records): Passenger side - front (42), Driver side - rear (39), Top (36), Passenger side - rear (32), Rear - driver side corner (27), Rear - passenger side corner (27), Non-collision/no damage (13), Undercarriage (8), Other (explain in narrative) (7), Cargo loss (1).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Impairment (Alcohol / Drugs)
Driver impairment was suspected in 22 crashes, representing 3.2% of all incidents. Of these, alcohol was a factor in 18 crashes and drugs were a factor in 4 crashes. These figures should be considered a minimum, as impairment is often under-reported in crash data.
Crashes by City
Among crashes occurring within city limits, Marshalltown had the highest volume with 404 incidents. Other municipalities reported far fewer crashes, including State Center with 11, and both Le Grand and Gilman with 6 each. A significant portion of crashes in the county occur in rural areas outside of any city's jurisdiction.
Crashes by City
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Paved vs Unpaved Road
The overwhelming majority of crashes, 661 out of 693 with roadway surface type specified, occurred on paved roads. Crashes on unpaved surfaces, such as gravel or dirt roads, accounted for 32 incidents, or approximately 4.6% of the total.
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 a minority of crashes, a roadway factor was cited as a contributor. The most common factor was the road surface condition, such as being wet or icy, which was noted in 76 crashes. Other factors were cited infrequently, including work zones (3 crashes) and debris in the roadway (2 crashes).
Roadway Contributing Factor
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Driver Condition
While most drivers were recorded as 'apparently normal,' several other conditions were noted. Twenty-five drivers were identified as being under the influence of alcohol. Driver fatigue or falling asleep was noted for 9 drivers, and an emotional state, such as being depressed or angry, was also recorded for 9 drivers.
Driver Condition
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 was in the $1,500 to $7,500 range, which applied to 515 crashes. A smaller number of crashes resulted in more severe damage, with 149 estimated between $7,500 and $25,000, and 11 crashes causing damage of $25,000 or more.
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 most frequent crash type, accounting for 247 incidents (35.6%). Among multi-vehicle crashes, broadside (front-to-side) collisions were the most common, with 124 occurrences (17.9%), followed by rear-end collisions, which happened 115 times (16.6%).
Manner of Collision
"Other" combines 3 smaller categories (32 records): Other (explain in narrative) (16), Sideswipe, opposite direction (14), Rear to rear (2).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Pre-Crash Driver Action
On a per-vehicle basis, the most common pre-crash action was moving straight ahead, which was the case for 667 vehicles. The next most frequent actions were turning left (100 vehicles) and being legally parked (53 vehicles).
Pre-Crash Driver Action
Showing top 9 of 17 reported. 8 additional (31 total) not shown: Overtaking/passing, Negotiating a curve, Entering traffic lane (merging), Illegally Parked/Unattended, Leaving a parked position, Leaving traffic lane, Making U-turn, Accelerating in road.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Pedestrian/Cyclist Action
For the 11 non-motorists involved in crashes, the most commonly reported action was entering or crossing the roadway, which was recorded for 8 individuals. Other actions, such as entering or exiting a vehicle, were noted for single individuals.
Pedestrian/Cyclist Action
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Non-motorist records linked to crash events
Person Type
Of the 1,355 people involved in crashes, the vast majority were drivers (1,295). The remaining individuals included 49 passengers, 5 pedestrians, 4 bicyclists, and 2 other non-motorists.
Person Type
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Person Injury Severity
Among the 1,355 people involved in crashes, 4 sustained fatal injuries and 214 sustained non-fatal injuries of varying severity. This includes 20 serious injuries, 78 minor injuries, and 116 possible injuries.
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 165 crash participants for whom safety equipment use was recorded, 149 were using a shoulder and lap belt. Eleven individuals, or 6.7% of this subset, were recorded as using no safety equipment at the time of the crash. Two participants were noted as wearing a DOT-compliant helmet.
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
Two-vehicle collisions were the most common type of incident, accounting for 390 of the 694 total crashes (56.2%). Single-vehicle crashes were also frequent, with 285 incidents, making up 41.1% of the total. Crashes involving three or more vehicles were less common, with 19 such events recorded.
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: 694
- Total persons involved: 1,355
- Total vehicles involved: 1,126
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