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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
325 CRASHES IN
IOWA, IA
2015
In 2015, Harrison County recorded 325 traffic crashes, resulting in 2 fatalities and 119 injuries. These incidents involved 453 vehicles and 577 individuals. A notable finding from the data is the high prevalence of single-vehicle crashes, which accounted for 59.1% of all incidents, with collisions involving animals being the most frequently cited contributing factor in 72 crashes.
325
Total Crash Events
2
Persons Killed
119
Persons Injured
2
Fatal Crash Events
Note: "Persons Killed" (2) counts individual fatalities across all crash events. "Fatal" in the severity table below (2) 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, two individuals were killed and 119 were injured in crashes. The casualties were primarily motorists, with 1 motorist killed and 118 injured. The county also recorded one pedestrian fatality and one cyclist injury, highlighting the risks to vulnerable road users.
1
Pedestrians Killed
0
Cyclists Killed
1
Motorists Killed
0
Pedestrians Injured
1
Cyclists Injured
118
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 Harrison County reveals that Thursdays were the most frequent day for incidents, with 54 crashes, closely followed by Tuesdays with 53. The afternoon and evening commute times were peak periods, with the highest number of crashes occurring in the 6 p.m. hour (26 crashes) and the 3 p.m. hour (25 crashes). Over half of all crashes (184, or 56.6%) 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 325 total crashes, 236 (72.6%) resulted in no injuries, being classified as property-damage-only events. The remaining 89 crashes involved injuries of varying severity, including 14 with serious injuries (4.3%), 35 with minor injuries (10.8%), and 38 with possible injuries (11.7%). Two crashes were fatal, representing 0.6% of the total, which resulted in two 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 for crashes in Harrison County was interactions with animals, cited in 72 incidents (22.2%). Following this, driver-related actions were prominent, including losing control (43 crashes, 13.2%), running off a straight road (29 crashes, 8.9%), following too closely (23 crashes, 7.1%), and driving too fast for conditions (21 crashes, 6.5%).
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 seemingly favorable conditions, with 56.6% (184 crashes) happening in daylight and 56% (182 crashes) on dry road surfaces. Clear weather was reported for 153 crashes (47.1%). However, adverse conditions were also a factor, with 24 crashes occurring in snow, 20 in rain, 27 on icy roads, and 31 on wet 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 577 people involved in crashes, the 45-54 age group was the most represented with 102 individuals, followed by the 26-34 group (80 people) and the 35-44 group (79 people). An analysis of the 453 vehicles involved shows Ford was the most common make with 90 vehicles, followed by Chevrolet (55 vehicles, plus 34 listed as 'CHEV'), and Dodge (23 vehicles, plus 13 listed as 'DODG').
Top Vehicle Makes (453 vehicles)
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
43 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (375 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 of crashes was an animal in the roadway, accounting for 72 incidents. Other primary causes included drivers losing control (43 crashes), running off a straight portion of the road (29 crashes), following too closely (23 crashes), and driving too fast for existing conditions (21 crashes).
Major Cause
Showing top 9 of 38 reported. 29 additional (79 total) not shown: FTYROW: From parked position, Passing: With insufficient distance/inadequate visibility, Driver Distraction: Other interior distraction, Driver Distraction: Inattentive/lost in thought, Ran off road - right, FTYROW: At uncontrolled intersection, Ran Stop Sign, FTYROW: Other (explain in narrative), Improper Backing, Operating vehicle in an reckless, erratic, careless, negligent manner, Passing: Other passing (explain in narrative), Failed to keep in proper lane, Other (explain in narrative): No improper action, Driver Distraction: Exterior distraction, Crossed centerline (undivided), FTYROW: Making left turn, Operator inexperience, Driver Distraction: Manual operation of an electronic communication device, Other (explain in narrative): Vision obstructed, Passing: On wrong side, Made improper turn, Driver Distraction: Talking on a hand-held device, FTYROW: From driveway, Driver Distraction: Talking on a hands free device, Failure to signal intentions, Equipment failure, Disregarded RR Signal, Traveling wrong way or on wrong side of road, Drove around RR grade crossing gates.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
First Harmful Event
The most common initial event in a crash was a collision with another vehicle in traffic, which occurred in 93 incidents. This was followed by collisions with an animal, recorded as the first harmful event in 72 crashes. Run-off-road events were also significant, including 42 collisions with a ditch and 34 non-collision overturns or rollovers.
First Harmful Event
Showing top 9 of 30 reported. 21 additional (39 total) not shown: Collision with fixed object: Traffic sign support, Collision with: Struck/struck by object/cargo/person from other vehicle, Collision with fixed object: Guardrail - face, Collision with fixed object: Utility pole/light support, Non-collision events: Non-contact vehicle (phantom), Other (explain in narrative), Collision with fixed object: Culvert/pipe opening, Collision with fixed object: Embankment, Miscellaneous events: Hit and run, Collision with: Non-motorist (see non-motorist section - NOT a unit), Collision with: Thrown or falling object, Collision with fixed object: Traffic signal support, Non-collision events: Jackknife, Collision with fixed object: Building, Non-collision events: Other non-collision (explain in narrative), Collision with fixed object: Tree, Non-collision events: Vehicle went airborne, Non-collision events: Fell/jumped from vehicle, Collision with fixed object: Other traffic barrier (explain in narrative), Collision with fixed object: Ground, Collision with fixed object: Fence.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Roadway Junction / Feature
The majority of crashes, 192 incidents or 59.1%, occurred on non-intersection segments of roadways. In contrast, 46 crashes took place at or were related to intersections, with four-way intersections being the most common type, accounting for 27 of these incidents. An additional 13 crashes happened at T-intersections.
Roadway Junction / Feature
Showing top 9 of 16 reported. 7 additional (11 total) not shown: Interchange-related: On-ramp, Intersection: Y-intersection, Non-intersection: Driveway access (within), Non-intersection: Railroad grade crossing, Intersection: Roundabout, Interchange-related: On-ramp merge area, Non-intersection: Driveway access (related, not in).
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, accounting for 182 of the 453 vehicles. Light trucks and SUVs were also frequently involved, with 93 four-tire light trucks and 75 sport utility vehicles recorded. Commercial vehicles included 35 tractor-trailers, while 17 motorcycles were also involved in crashes.
Vehicle Type
"Other" combines 7 smaller categories (13 records): Single-unit truck (>= 3 axles) (4), Truck/trailer (3), Cargo/panel van (2), Truck tractor (bobtail) (1), Farm tractor (1), Golf cart (1), Other light truck (<=10000 lbs) (1).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Traffic Control Device
A review of traffic controls present at crash locations indicates that the vast majority of incidents occurred where no controls were present, a situation noted for 333 of the vehicles involved. In cases where controls were present, stop signs were the most common, associated with 27 vehicles in crashes, followed by traffic signals with 11.
Traffic Control Device
"Other" combines 3 smaller categories (6 records): Warning sign (2), Flashing traffic control signal (2), Railway crossing device (2).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Most Damaged Area
Analysis of vehicle damage indicates that frontal impacts were the most common, with the primary point of impact being the front for 99 vehicles and a front corner for another 69 vehicles. Rear-end collisions are suggested by the 31 vehicles that sustained damage to the rear. A significant number of vehicles also sustained side damage, indicating angle or sideswipe collisions.
Most Damaged Area
"Other" combines 10 smaller categories (109 records): Passenger side - front (20), Passenger side - middle (19), Rear - driver side corner (16), Driver side - rear (13), Passenger side - rear (13), Rear - passenger side corner (11), Other (explain in narrative) (10), Non-collision/no damage (4), Undercarriage (2), 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 or confirmed in 18 crashes, representing 5.5% of the total. Of the 16 cases where the substance was specified, alcohol was a factor in 14 incidents, and drugs were a factor in 2 incidents.
Crashes by City
Within Harrison County, the highest volume of crashes occurred in Missouri Valley, with 56 incidents reported. Dunlap recorded the second-highest number with 19 crashes, followed by Woodbine with 17 crashes. A significant number of crashes occurred in unincorporated areas and were not attributed to a specific city.
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, 301 incidents, occurred on paved roadways. However, 23 crashes, representing 7.1% of the total where surface type was specified, took place 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
In a minority of crashes, specific roadway factors were cited as contributors. The most common was the surface condition, such as wet or icy roads, noted in 48 crashes. Other factors included debris on the roadway, cited in 7 incidents, and roadway-related work zones, which were a factor in 4 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 non-normal conditions were noted as potential factors. Fifteen drivers were reported as being under the influence of alcohol. Additionally, 5 drivers were noted as being asleep or fatigued, and 3 experienced a medical condition such as a seizure.
Driver Condition
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Property Damage
The estimated cost of property damage was most frequently in the $1,500 to $7,500 range, which applied to 236 crashes. A smaller but significant number of incidents resulted in higher costs, with 68 crashes causing damage between $7,500 and $25,000, and 13 crashes (4% of total) resulting in 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 were the dominant collision type, accounting for 192 incidents, or 59.1% of all crashes. Among multi-vehicle incidents, rear-end collisions were the most frequent, with 38 crashes (11.7%), followed by broadside collisions, which occurred in 25 crashes (7.7%).
Manner of Collision
"Other" combines 3 smaller categories (8 records): Angle, oncoming left turn (4), Rear to rear (2), Head-on (front to front) (2).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Pre-Crash Driver Action
An analysis of vehicle actions prior to collision shows that the vast majority were engaged in normal driving maneuvers. Of the vehicles with a recorded pre-crash action, 267 were moving straight ahead. Far less frequent actions included turning left (25 vehicles), negotiating a curve (19 vehicles), and backing (18 vehicles).
Pre-Crash Driver Action
Showing top 9 of 16 reported. 7 additional (16 total) not shown: Leaving traffic lane, Stopped in traffic, Changing lanes, Entering traffic lane (merging), Illegally Parked/Unattended, Making U-turn, Leaving a parked position.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Person Type
Of the 577 people involved in crashes, the overwhelming majority were drivers, accounting for 541 individuals (93.8%). The remaining persons included 34 passengers, one pedestrian, and one bicyclist.
Person Type
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Person Injury Severity
Among the 577 total persons involved in crashes, 2 suffered fatal injuries and 119 sustained some level of injury. The injuries included 16 classified as serious, 52 as minor, and 51 as possible. A small number of individuals (3) involved in injury crashes were recorded with no personal injury.
Person Injury Severity
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Occupant Safety Equipment
Among individuals for whom safety equipment use was recorded, 61 were noted as using a shoulder and lap belt. Conversely, 24 individuals were recorded as having used no safety restraints at the time of the crash. Additionally, 6 motorcyclists were wearing DOT-compliant helmets.
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 constituted the majority of incidents, with 202 crashes (62.2%) involving only one vehicle. Two-vehicle collisions were the next most common scenario, accounting for 118 crashes (36.3%). A small number of multi-vehicle pile-ups occurred, with 5 crashes involving 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: 325
- Total persons involved: 577
- Total vehicles involved: 453
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