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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
273 CRASHES IN
IOWA, IA
2015
In 2015, Washington County recorded 273 vehicle crashes, resulting in 3 fatalities and 90 injuries. These incidents involved 516 people and 422 vehicles. The single most common contributing factor cited in these crashes was the presence of an animal on the roadway, which was noted in 55 separate incidents, accounting for 20.1% of all crashes.
273
Total Crash Events
3
Persons Killed
90
Persons Injured
3
Fatal Crash Events
Note: "Persons Killed" (3) counts individual fatalities across all crash events. "Fatal" in the severity table below (3) 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, 3 people were killed and 90 were injured in crashes. Motorists comprised the largest group of casualties, with 2 killed and 87 injured. One pedestrian was killed and one was injured, and one cyclist was injured. No cyclists were killed in 2015.
1
Pedestrians Killed
0
Cyclists Killed
2
Motorists Killed
0
Other Killed
1
Pedestrians Injured
1
Cyclists Injured
87
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
Crash frequency in Washington County peaked on Thursdays, which saw 56 incidents over the year. The single most common time for a crash was during the 5 p.m. hour, with 24 recorded events. A majority of crashes, 163 out of 273 (59.7%), 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
The vast majority of crashes, 199 incidents or 72.9%, resulted in no injuries. Crashes involving some level of injury accounted for 74 incidents, including 36 with possible injuries, 26 with minor injuries, and 9 with serious injuries. There were 3 fatal crashes recorded, which resulted in a total of 3 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 most frequently cited contributing factor for crashes was an animal in the roadway, accounting for 55 incidents (20.1%). Other significant factors included drivers losing control (26 crashes, 9.5%), failure to yield the right-of-way from a stop sign (21 crashes, 7.7%), and driving too fast for conditions (20 crashes, 7.3%).
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
Most crashes occurred in favorable conditions, with 61.2% happening in clear weather and 66.3% on dry road surfaces. Daylight was the lighting condition for 163 of the 273 total crashes (59.7%). Adverse weather was less common, with 20 crashes occurring in snow and 11 in rain, while 26 crashes were on snowy roads and 21 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 516 individuals involved in crashes, the 16-20 age group was most represented with 79 people, followed by the 45-54 age group with 72 people. Analysis of the 422 vehicles involved shows that Chevrolet (95 vehicles) and Ford (64 vehicles) were the most frequent makes. Dodge (36 vehicles) and Toyota (31 vehicles) were also commonly involved.
Top Vehicle Makes (422 vehicles)
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
33 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (377 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 identified in crashes was the presence of an animal, cited in 55 incidents (20.1%). This was followed by drivers losing control in 26 crashes (9.5%) and failure to yield the right-of-way from a stop sign in 21 crashes (7.7%). Driving too fast for conditions and running off a straight road were also significant, contributing to 20 and 19 crashes respectively.
Major Cause
Showing top 9 of 42 reported. 33 additional (75 total) not shown: Followed too close, Driver Distraction: Inattentive/lost in thought, Driver Distraction: Other interior distraction, Other (explain in narrative): Other, Made improper turn, Other (explain in narrative): Vision obstructed, Operating vehicle in an reckless, erratic, careless, negligent manner, Improper Backing, Ran Traffic Signal, Ran off road - right, Failed to yield to emergency vehicle, Driver Distraction: Manual operation of an electronic communication device, Driver Distraction: Exterior distraction, FTYROW: From parked position, Driver Distraction: Reaching for object(s)/fallen object(s), Other (explain in narrative): No improper action, Other (explain in narrative): Improper operation, Cargo/equipment loss or shift, Driver Distraction: Passenger, Exceeded authorized speed, FTYROW: At uncontrolled intersection, FTYROW: From yield sign, FTYROW: Other (explain in narrative), FTYROW: To pedestrian, Illegally Parked/Unattended, Driver Distraction: Adjusting devices (radio, climate), Operator inexperience, Passing: On wrong side, Passing: Other passing (explain in narrative), Passing: With insufficient distance/inadequate visibility, Crossed centerline (undivided), Swerving/Evasive Action, Traveling wrong way or on wrong side of road.
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 123 incidents. Collisions with animals were the second most frequent first harmful event, recorded in 54 crashes. Collisions with fixed objects, such as running into a ditch (24 incidents) or hitting a utility pole (4 incidents), were also common, while 17 crashes involved an overturn or rollover.
First Harmful Event
Showing top 9 of 26 reported. 17 additional (28 total) not shown: Non-collision events: Jackknife, Non-collision events: Vehicle went airborne, Collision with fixed object: Traffic sign support, Collision with: Non-motorist (see non-motorist section - NOT a unit), Collision with: Thrown or falling object, Collision with: Other non-fixed object (explain in narrative), Non-collision events: Fell/jumped from vehicle, Collision with fixed object: Guardrail - end, Collision with fixed object: Fire hydrant, Collision with fixed object: Guardrail - face, Collision with fixed object: Landscape/shrubbery, Collision with fixed object: Mailbox, Collision with fixed object: Fence, Collision with fixed object: Embankment, Collision with: Struck/struck by object/cargo/person from other vehicle, Collision with fixed object: Culvert/pipe opening, 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
A majority of crashes, 176 out of 273 (64.5%), occurred at non-intersection locations, including 149 on straight or curved road segments. Intersections accounted for 79 crashes (28.9%), with four-way intersections being the most common type, seeing 60 incidents. An additional 15 crashes were related to driveway access.
Roadway Junction / Feature
Showing top 9 of 14 reported. 5 additional (6 total) not shown: Interchange-related: On-ramp merge area, Non-intersection: Alley, Intersection: Y-intersection, Interchange-related: Off-ramp, diverge area, Non-intersection: Crossover-related.
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 199 of the 422 vehicles. Light trucks and pickups were the next most frequent with 80 vehicles, followed by sport utility vehicles with 66. Larger vehicles were less common, with 16 tractor-trailers and 6 motorcycles involved in incidents throughout the year.
Vehicle Type
"Other" combines 9 smaller categories (15 records): Single unit truck (2-axle, 6-tire) (4), Farm tractor (3), All-terrain vehicle (ATV) (2), Other small bus (seats 9-15) (1), Snowmobile (1), School bus (seats > 15) (1), Moped (1), Truck tractor (bobtail) (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
In a majority of incidents, no traffic controls were present, with this condition recorded 307 times across all vehicles in crashes. Where controls were a factor, stop signs were the most common, noted in 58 instances. Traffic signals were present in 26 instances.
Traffic Control Device
"Other" combines 3 smaller categories (3 records): Yield signs (1), Traffic director (person) (1), Warning 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 common area of impact, with 86 vehicles sustaining primary damage to the front and an additional 70 sustaining damage to a front corner. Side impacts were also frequent, with 24 vehicles damaged on the driver's side middle area and 22 on the driver's side front. Rear-end damage was the primary impact point for 27 vehicles.
Most Damaged Area
"Other" combines 9 smaller categories (111 records): Rear - passenger side corner (18), Passenger side - front (18), Passenger side - middle (18), Rear - driver side corner (16), Driver side - rear (14), Top (13), Other (explain in narrative) (8), 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)
Driver impairment was suspected in 12 crashes, representing 4.4% of all incidents. Of these, alcohol was a factor in 10 crashes, and drugs were a factor in 2. These figures represent a minimum count, as impairment can be under-reported in crash data.
Crashes by City
Among municipalities in Washington County, the City of Washington had the highest crash volume with 73 incidents. Kalona recorded the second-highest number with 22 crashes, followed by Riverside with 11. A significant number of crashes occur in rural areas outside of any specific 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 vast majority of crashes, 250 out of 271 for which the surface type was known, occurred on paved roads. However, 21 crashes, or 7.7% of the total, took place on unpaved surfaces such as gravel or dirt roads, reflecting the county's rural 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
A roadway-related factor was noted as a contributor in 50 crashes. The most common factor was the road surface condition, such as being wet or icy, which was cited in 41 incidents. A work zone was identified as a contributing factor in 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,' a specific condition was noted for 30 drivers. The most common non-normal condition was being under the influence of alcohol, recorded for 13 drivers. Seven drivers were noted as being asleep or fatigued, and 3 had 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 property damage was between $1,500 and $7,500 for a majority of crashes, with 180 incidents falling into this category. A smaller number of crashes resulted in more significant damage, with 73 incidents estimated between $7,500 and $25,000, and 6 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
Nearly half of all incidents, 123 crashes or 45.1%, were non-collision events involving a single vehicle, such as running off the road or overturning. Among multi-vehicle crashes, broadside collisions were the most common, accounting for 48 incidents (17.6%). Rear-end collisions were the next most frequent type, with 35 occurrences (12.8%).
Manner of Collision
"Other" combines 2 smaller categories (11 records): Other (explain in narrative) (6), Angle, oncoming left turn (5).
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 of vehicles prior to a crash was moving straight ahead, which was recorded 278 times. Turning left was the next most frequent pre-crash action, noted in 34 instances. Vehicles that were legally parked were struck in 21 cases.
Pre-Crash Driver Action
Showing top 9 of 14 reported. 5 additional (10 total) not shown: Entering traffic lane (merging), Starting in road, Changing lanes, Illegally Parked/Unattended, Entering a parked position.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Person Type
Of the 516 people involved in crashes, the vast majority, 488 individuals (94.6%), were drivers. Passengers accounted for 24 of the people involved. A small number of non-motorists were also involved, including 2 pedestrians, 1 bicyclist, and 1 other non-motorist.
Person Type
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Person Injury Severity
Among the 516 people involved in crashes, 93 individuals sustained injuries or were killed. This includes 3 fatalities and 90 injuries of varying severity. Specifically, 10 people suffered serious injuries, 35 had minor injuries, and 45 had 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
For the 69 individuals where safety equipment use was recorded, 53 were noted as using a shoulder and lap belt. Ten individuals were recorded as not using any safety equipment. Additionally, 3 children were in a child safety seat of an unknown type, and 2 individuals used 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 crash, accounting for 139 of the 273 incidents (50.9%). Single-vehicle crashes were also very frequent, with 129 incidents (47.3%). Crashes involving three or more vehicles were rare, with only 5 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: 273
- Total persons involved: 516
- Total vehicles involved: 422
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