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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
351 CRASHES IN
IOWA, IA
2015
In 2015, Hamilton County recorded 351 traffic crashes, resulting in 5 fatalities and 146 injuries. A notable characteristic of these incidents is the primary contributing factor, with collisions involving animals accounting for 82 crashes, representing 23.4% of the total.
351
Total Crash Events
5
Persons Killed
146
Persons Injured
4
Fatal Crash Events
Note: "Persons Killed" (5) 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 2015, a total of 5 people were killed and 146 were injured in Hamilton County crashes. Motorists comprised the majority of these casualties, with 4 fatalities and 146 injuries. Additionally, one pedestrian fatality was recorded during this period. There were no recorded cyclist fatalities or injuries.
1
Pedestrians Killed
4
Motorists Killed
0
Pedestrians Injured
146
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 analysis for 2015 reveals specific temporal patterns, with Thursday being the most frequent day for incidents, recording 65 crashes. The afternoon commute hour of 4 p.m. was the single busiest hour with 38 crashes. A majority of collisions, 198 out of 351, occurred during daylight hours, while 84 took place in dark, dusk, or dawn 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 351 total crashes in 2015, 241 (68.7%) resulted in no injuries, being classified as property-damage-only. The remaining 110 crashes involved injuries or fatalities. This includes 4 fatal crashes, 9 serious injury crashes, 33 minor injury crashes, and 64 crashes with possible injuries. The 4 fatal crashes resulted in a total of 5 deaths, as a single crash event can involve multiple fatalities.
Severity is per crash event (most severe injury). 4 fatal crash events resulted in 5 persons killed.
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 leading contributing factor identified in 2015 crashes was the presence of an animal on the roadway, cited in 82 incidents (23.4% of all crashes). Other significant factors include drivers losing control (40 crashes, 11.4%), driving too fast for conditions (31 crashes, 8.8%), and running off a straight road (28 crashes, 8.0%). These top four factors collectively account for over half of all reported crashes.
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 in 2015 occurred in favorable conditions. Specifically, 198 crashes (56.4%) happened in daylight, 188 (53.6%) on dry road surfaces, and 162 (46.2%) in clear weather. Adverse conditions were also present in a number of incidents, with 39 crashes occurring in snow, 31 on wet roads, and 27 on icy or frosty 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 666 people involved in crashes, the 26-34 age group was the most represented with 104 individuals, followed by the 16-20 age group with 95. An analysis of the 511 vehicles involved shows Chevrolet (119 vehicles), Ford (83 vehicles), Toyota (40 vehicles), and Dodge (38 vehicles) as the most frequently appearing makes in crash reports.
Top Vehicle Makes (511 vehicles)
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
44 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (446 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 82 incidents. This was followed by drivers losing control (40 crashes) and driving too fast for conditions (31 crashes). Running off a straight road (28 crashes) and failure to yield the right-of-way from a stop sign (19 crashes) were also significant contributing causes.
Major Cause
Showing top 9 of 38 reported. 29 additional (87 total) not shown: Driver Distraction: Other interior distraction, Operating vehicle in an reckless, erratic, careless, negligent manner, Ran Stop Sign, Other (explain in narrative): No improper action, FTYROW: Making left turn, Exceeded authorized speed, Improper or erratic lane changing, Driver Distraction: Reaching for object(s)/fallen object(s), Driver Distraction: Inattentive/lost in thought, Operator inexperience, Driver Distraction: Adjusting devices (radio, climate), Improper Backing, Driver Distraction: Manual operation of an electronic communication device, FTYROW: From driveway, FTYROW: From parked position, FTYROW: Other (explain in narrative), Driver Distraction: Exterior distraction, Made improper turn, Ran off road - right, Illegally Parked/Unattended, Crossed centerline (undivided), Other (explain in narrative): Vision obstructed, Over correcting/over steering, FTYROW: From yield sign, Equipment failure, Crossed median (divided), Failed to keep in proper lane, Swerving/Evasive Action, Driver Distraction: Passenger.
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 126 crashes. The second most frequent event was a collision with an animal, accounting for 82 crashes. Non-collision events, primarily overturns or rollovers, were the third most common initial event, recorded in 39 incidents.
First Harmful Event
Showing top 9 of 37 reported. 28 additional (48 total) not shown: Non-collision events: Vehicle went airborne, Collision with fixed object: Embankment, Collision with fixed object: Bridge/bridge rail parapet, Collision with fixed object: Other post/pole/support (explain in narrative), Collision with fixed object: Traffic sign support, Collision with: Other non-fixed object (explain in narrative), Miscellaneous events: Hit and run, Miscellaneous events: Fire/explosion, Collision with fixed object: Building, Collision with fixed object: Other traffic barrier (explain in narrative), Non-collision events: Jackknife, Collision with fixed object: Curb/island/raised median, Collision with fixed object: Wall, Collision with: Non-motorist (see non-motorist section - NOT a unit), Collision with fixed object: Culvert/pipe opening, Collision with: Struck/struck by object/cargo/person from other vehicle, Collision with: Thrown or falling object, Collision with fixed object: Bridge pier or support, Collision with fixed object: Concrete traffic barrier (median or right side), Non-collision events: Fell/jumped from vehicle, Collision with fixed object: Ground, Collision with fixed object: Guardrail - end, Collision with fixed object: Fence, Non-collision events: Non-contact vehicle (phantom), Collision with fixed object: Landscape/shrubbery, Collision with fixed object: Snow bank, Collision with fixed object: Bridge overhead structure, Collision with fixed object: Cable barrier.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Roadway Junction / Feature
The majority of crashes occurred in areas without specific junction features, with 174 incidents (49.6%) happening on non-junction road segments. Four-way intersections were the most common type of junction for crashes, accounting for 46 incidents. T-intersections were the location for another 14 crashes.
Roadway Junction / Feature
Showing top 9 of 15 reported. 6 additional (16 total) not shown: Interchange-related: Off-ramp, Non-intersection: Other non-intersection (explain in narrative), Interchange-related: Off-ramp, diverge area, Intersection: Other intersection (explain in narrative), Intersection: Y-intersection, Interchange-related: Other interchange (explain in narrative).
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 crashes, with 223 units recorded. Sport utility vehicles (101 units) and four-tire light trucks or pickups (99 units) were also frequently involved. Of the commercial vehicles, 25 tractor/semi-trailers were involved in crashes, while 2 motorcycles were also recorded.
Vehicle Type
"Other" combines 6 smaller categories (10 records): Passenger van (seats 9-15) (3), Cargo/panel van (2), Motorcycle (2), Other light truck (<=10000 lbs) (1), Other bus (seats > 15) (1), Truck/trailer (1).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Traffic Control Device
Data on traffic controls present indicates that in 346 instances, vehicles were operating where no traffic controls were present. Stop signs were the next most common traffic control device noted, being relevant in 58 instances. Traffic signals were a factor in 19 instances.
Traffic Control Device
"Other" combines 2 smaller categories (3 records): Other (explain in narrative) (2), Work zone sign (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 frequent area of initial impact or most severe damage, noted in 109 instances. Combined with front-corner impacts (71 instances), frontal damage was a characteristic of a large portion of collisions. The driver's side middle area was the most damaged point in 41 cases, while the rear of the vehicle was most damaged in 38 cases, suggesting a notable share of angle and rear-end collisions.
Most Damaged Area
"Other" combines 9 smaller categories (110 records): Front - driver side corner (23), Passenger side - front (23), Driver side - rear (18), Rear - driver side corner (15), Passenger side - rear (12), Rear - passenger side corner (8), Other (explain in narrative) (5), Undercarriage (5), Cargo loss (1).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Impairment (Alcohol / Drugs)
A total of 11 crashes were recorded as involving an impaired driver. Of these, alcohol was a factor in 8 crashes and drugs were a factor in 3 crashes. These 11 incidents represent 3.1% of all crashes for the year.
Crashes by City
The distribution of crashes across municipalities in Hamilton County shows a concentration in Webster City, which recorded 124 crashes. Far fewer crashes were reported in other towns, with Ellsworth and Jewell each recording 6 crashes, and Stanhope and Kamrar each recording 2.
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 vast majority of crashes, 334 in total, occurred on paved roadways. A smaller number of incidents, 11 crashes, were recorded on unpaved surfaces such as gravel or dirt roads. This indicates that approximately 3.2% of crashes with known surface type happened on the county's unpaved road network.
Paved vs Unpaved Road
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Roadway Contributing Factor
Among roadway-related contributing factors, adverse surface conditions such as wet or icy pavement were the most cited, contributing to 55 crashes. Other roadway factors were less common, with work zones being noted as a factor in 2 crashes and obstructions or debris in the roadway contributing to 3 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,' there were several instances where other conditions were noted. Fifteen drivers were identified as being asleep or fatigued, and 11 were noted as being under the influence of alcohol. Additionally, a medical condition was a factor for 6 drivers, and an emotional state was noted for 5 drivers.
Driver Condition
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Property Damage
Based on officer estimates of property damage, the most common damage category was between $1,500 and $7,500, which applied to 238 crashes (67.8% of the total). A smaller fraction of crashes, 12 in total or 3.4%, resulted in high-value damage estimated at over $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 most common type of crash, accounting for 179 incidents or 51% of the total. Among multi-vehicle crashes, rear-end collisions were the most frequent, with 45 incidents (12.8%), followed by broadside collisions, which occurred 40 times (11.4%).
Manner of Collision
"Other" combines 2 smaller categories (8 records): Other (explain in narrative) (4), Head-on (front to front) (4).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Pre-Crash Driver Action
An analysis of the 511 vehicles involved in crashes shows that the most common pre-crash action was moving straight ahead, which was the case for 310 vehicles. The next most frequent actions were turning left (29 vehicles) and being legally parked (26 vehicles) prior to the collision.
Pre-Crash Driver Action
Showing top 9 of 19 reported. 10 additional (29 total) not shown: Overtaking/passing, Entering traffic lane (merging), Leaving traffic lane, Negotiating a curve, Leaving a parked position, Illegally Parked/Unattended, Starting in road, Entering a parked position, Accelerating in road, Making U-turn.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Person Type
Of the 666 individuals involved in crashes, the vast majority, 624 people (93.7%), were drivers. Passengers accounted for 41 individuals (6.2%), and one person was classified as a pedestrian.
Person Type
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Person Injury Severity
Among the 155 persons with a recorded injury outcome, 5 sustained fatal injuries and 146 sustained some level of injury. The injury breakdown includes 11 serious injuries, 52 minor injuries, and 83 possible injuries. Four individuals were recorded as having no injuries despite being in crashes where others were hurt.
Person Injury Severity
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Occupant Safety Equipment
Among 126 crash participants for whom safety equipment use was recorded, 95 were using a shoulder and lap belt. However, 23 individuals, representing 18.3% of this group, were recorded as using no safety restraints at the time of the crash.
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
Slightly more than half of all incidents, 200 crashes (57%), involved only a single vehicle. Two-vehicle collisions were also common, accounting for 143 crashes (40.7%). Multi-vehicle incidents involving three or more vehicles were rare, with only 8 such crashes recorded, including one involving four 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: 351
- Total persons involved: 666
- Total vehicles involved: 511
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