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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
219 CRASHES IN
IOWA, IA
2015
In 2015, Dickinson County recorded 219 traffic crashes, which resulted in 4 fatalities and 91 injuries. These incidents involved a total of 376 vehicles and 473 individuals. A notable finding from the data is that collisions with animals were the single most cited contributing factor, accounting for 30 separate crashes.
219
Total Crash Events
4
Persons Killed
91
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 2015, crashes resulted in 4 deaths and 91 injuries. Motorists represented the largest group of casualties, with 3 individuals killed and 85 injured. Among vulnerable road users, one cyclist was killed and three were injured, while two pedestrians sustained injuries.
0
Pedestrians Killed
1
Cyclists Killed
3
Motorists Killed
0
Other Killed
2
Pedestrians Injured
3
Cyclists Injured
85
Motorists Injured
1
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 Dickinson County were most frequent on Tuesdays, with 43 incidents recorded, closely followed by Thursdays with 42. The afternoon hours showed the highest crash concentration, with a peak of 19 crashes in the 4 p.m. hour and 18 crashes in both the 12 p.m. and 5 p.m. hours. The majority of crashes, 148 out of 219, occurred 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 219 total crashes, approximately two-thirds (66.7%) resulted in no injuries, involving only property damage. The remaining crashes involved injuries of varying degrees: 14 were classified as serious injury, 23 as minor injury, and 32 as possible injury. Four separate crashes were classified as fatal, resulting in a total of four fatalities.
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 crash reports was 'Animal,' accounting for 30 incidents, or 13.7% of the total. 'Followed too close' was the second most common factor, cited in 24 crashes (11.0%). 'Driving too fast for conditions' was listed as a factor in 15 crashes (6.8%).
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
The majority of crashes occurred in favorable conditions, with 67.6% happening in daylight and 62.1% on dry road surfaces. Clear weather was reported for 120 of the 219 crashes. Adverse conditions were less frequent, with 15 crashes occurring during rain and 20 on snow-covered roads.
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
Analysis of the 473 individuals involved in crashes shows the most represented age groups were 55-64 years old (70 people), 65 and older (68 people), and 45-54 (66 people). Among the 376 vehicles involved, the most frequent makes, after combining abbreviated names, were Chevrolet (110 vehicles), Ford (58 vehicles), and Dodge (30 vehicles).
Top Vehicle Makes (376 vehicles)
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
27 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (336 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 frequently recorded major cause for crashes was 'Animal,' which was attributed to 30 incidents. 'Followed too close' was the second leading cause, contributing to 24 crashes. Other significant causes included 'Driving too fast for conditions' (15 crashes) and 'FTYROW: Making left turn' (13 crashes).
Major Cause
Showing top 9 of 34 reported. 25 additional (69 total) not shown: Other (explain in narrative): Other, Ran Stop Sign, Ran Traffic Signal, FTYROW: From driveway, Made improper turn, Other (explain in narrative): No improper action, Driver Distraction: Reaching for object(s)/fallen object(s), Ran off road - straight, Swerving/Evasive Action, Improper Backing, Exceeded authorized speed, Operating vehicle in an reckless, erratic, careless, negligent manner, Cargo/equipment loss or shift, FTYROW: At uncontrolled intersection, FTYROW: From parked position, Ran off road - right, Passing: Other passing (explain in narrative), FTYROW: Making right turn on red signal, Driver Distraction: Exterior distraction, Crossed centerline (undivided), Failed to keep in proper lane, Driver Distraction: Talking on a hand-held device, Driver Distraction: Inattentive/lost in thought, Traveling wrong way or on wrong side of road, Illegally Parked/Unattended.
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 127 crashes. The second most frequent event was a collision with an animal, accounting for 27 incidents. Non-collision events like overturns (9 incidents) and collisions with fixed objects like ditches (10 incidents) were also notable.
First Harmful Event
Showing top 9 of 19 reported. 10 additional (14 total) not shown: Collision with fixed object: Traffic sign support, Collision with: Thrown or falling object, Collision with fixed object: Mailbox, Non-collision events: Vehicle went airborne, Miscellaneous events: Hit and run, Collision with fixed object: Snow bank, Collision with: Struck/struck by object/cargo/person from other vehicle, Collision with: Other non-fixed object (explain in narrative), Non-collision events: Fell/jumped from vehicle, Collision with fixed object: Building.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Roadway Junction / Feature
Crashes occurred more frequently at non-junction locations, which accounted for 93 incidents. Intersections were the site of 84 crashes, with four-way intersections being the most common type, hosting 58 of these incidents. An additional 10 crashes were related to driveway access.
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 crashes, with 173 vehicles recorded. Four-tire light trucks (77 vehicles) and sport utility vehicles (66 vehicles) were also frequently involved. The data also includes 10 tractor/semi-trailers and 9 motorcycles among the vehicles in collisions.
Vehicle Type
"Other" combines 5 smaller categories (6 records): Cargo/panel van (2), Farm equipment (explain in narrative) (1), Truck/trailer (1), Moped (1), Single unit truck (2-axle, 6-tire) (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 at locations with no traffic controls present, a situation noted in 227 instances. Where traffic controls were a factor, crashes occurred most often at locations with traffic signals (63 instances) and stop signs (51 instances).
Traffic Control Device
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 frequently damaged area, recorded in 81 cases, with an additional 80 vehicles sustaining damage to a front corner. Rear-end collisions are suggested by the 46 vehicles with primary damage to the rear. Side impacts were also common, with 69 vehicles damaged on the driver or passenger side.
Most Damaged Area
"Other" combines 9 smaller categories (82 records): Passenger side - middle (16), Rear - driver side corner (12), Rear - passenger side corner (11), Driver side - rear (10), Other (explain in narrative) (9), Top (9), Passenger side - rear (7), Non-collision/no damage (6), Cargo loss (2).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Crashes by City
Within Dickinson County, Spirit Lake had the highest number of crashes with 80 incidents. Milford recorded the second-highest number with 29 crashes, followed by Arnolds Park with 19. Several other municipalities, including Okoboji and Lake Park, reported crashes in the single or low double digits.
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, 199 out of 210 for which road surface type was recorded, occurred on paved roads. Crashes on unpaved surfaces such as gravel or dirt accounted for 11 incidents, representing approximately 5.2% of that subset.
Paved vs Unpaved Road
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Roadway Contributing Factor
For the minority of crashes where a roadway factor was identified as a contributor, 'Surface condition (e.g. wet, icy)' was the most common, cited in 27 cases. Other factors were noted infrequently, with 'Slippery, loose or worn surface' listed in 2 cases and 'Ruts/holes/bumps' in 1 case.
Roadway Contributing Factor
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Driver Condition
Among driver conditions noted as a factor other than 'apparently normal,' being 'Under the influence of alcohol' was the most frequent, recorded in 11 instances. 'Emotional' states were cited in 5 cases, while single instances of 'Asleep/fatigued' and 'Medical condition' were also reported.
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 fell within the '$1,500 - $7,500' range, which applied to 150 incidents (68.5%). Fifty crashes (22.8%) resulted in damages between $7,500 and $25,000. Four crashes were estimated to have caused property damage in excess of $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 such as running off the road or overturning were the most common crash type, accounting for 68 incidents (31.1%). Rear-end collisions were the second most frequent manner of collision with 58 incidents (26.5%). Broadside crashes were also significant, occurring 32 times (14.6%).
Manner of Collision
"Other" combines 2 smaller categories (7 records): Head-on (front to front) (5), Sideswipe, opposite direction (2).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Pre-Crash Driver Action
Prior to impact, the most common vehicle action was 'Movement essentially straight,' recorded in 209 instances. 'Turning left' was the second most frequent pre-crash action with 43 instances, followed by vehicles being 'Stopped in traffic' in 20 instances.
Pre-Crash Driver Action
Showing top 9 of 18 reported. 9 additional (18 total) not shown: Negotiating a curve, Leaving a parked position, Overtaking/passing, Making U-turn, Illegally Parked/Unattended, Entering a parked position, Accelerating in road, Starting in road, Entering traffic lane (merging).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Person Type
Of the 473 people involved in crashes, the vast majority, 447 individuals (94.5%), were drivers. The remaining individuals included 19 passengers, 4 bicyclists, and 2 pedestrians. A single 'other non-motorist' was also involved.
Person Type
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Person Injury Severity
Among all persons involved in crashes, 4 sustained fatal injuries and 16 had serious injuries. An additional 29 people had minor injuries and 46 had possible injuries. The total number of injured persons across all crashes was 91.
Person Injury Severity
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Occupant Safety Equipment
Based on the limited data available for safety equipment usage, 54 individuals were recorded as using a shoulder and lap belt. In 11 cases, it was noted that no safety equipment was used. Two individuals were recorded 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 scenario, accounting for 135 crashes, or 61.6% of the total. Single-vehicle crashes were also frequent, with 72 incidents (32.9%). Crashes involving three or more vehicles were less common, with 11 such incidents recorded in total.
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: 219
- Total persons involved: 473
- Total vehicles involved: 376
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