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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
335 CRASHES IN
IOWA, IA
2015
In 2015, Fayette County recorded 335 traffic crashes, resulting in 2 fatalities and 109 injuries. The most significant contributing factor identified in these incidents was collisions with animals, which accounted for 128 crashes, or 38.2% of the total.
335
Total Crash Events
2
Persons Killed
109
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 2015, motorists accounted for all traffic fatalities and the vast majority of injuries in Fayette County, with 2 motorists killed and 107 injured. There were no pedestrian fatalities or injuries recorded. Two cyclists were injured in crashes, but none were killed.
0
Cyclists Killed
2
Motorists Killed
2
Cyclists Injured
107
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 frequency in Fayette County peaked on Saturdays, with 57 incidents recorded in 2015. The most common time for crashes was the 5 p.m. hour, which saw 27 collisions. Analysis of lighting conditions shows that 137 crashes occurred during daylight, while 80 crashes happened in dark conditions and 14 occurred during dawn or dusk.
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 335 crashes in 2015, the majority (75.8% or 254 incidents) resulted in no injuries. Injury-related crashes, including serious, minor, and possible injuries, accounted for 79 incidents. There were 2 fatal crashes, representing 0.6% of the total, which resulted in 2 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 in Fayette County crashes was 'Animal,' involved in 128 incidents, or 38.2% of all crashes. Following this, 'Lost Control' was noted in 33 crashes (9.9%), while 'Ran off road - straight' and 'Driving too fast for conditions' were each cited in 17 crashes (5.1%).
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 portion of crashes occurred in favorable conditions, with 143 incidents happening in clear weather, 153 on dry road surfaces, and 137 during daylight. Adverse conditions were also a factor, with 17 crashes occurring in rain and another 17 in snow. Road surface conditions included 29 crashes on wet roads, 21 on snow, and 17 on ice or frost.
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
The age groups most frequently involved in crashes were 16-20 year olds (88 persons), 26-34 year olds (84 persons), and 45-54 year olds (83 persons). Among the 458 vehicles involved, the most common makes were Chevrolet (104 vehicles), Ford (83 vehicles), and Dodge (48 vehicles).
Top Vehicle Makes (458 vehicles)
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
25 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (423 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 of crashes was interactions with animals, cited in 128 incidents (38.2% of the total). 'Lost Control' was the second most common cause, contributing to 33 crashes (9.9%). 'Ran off road - straight' and 'Driving too fast for conditions' were each listed as the major cause for 17 crashes (5.1% each).
Major Cause
Showing top 9 of 38 reported. 29 additional (81 total) not shown: FTYROW: From yield sign, Driver Distraction: Other interior distraction, Ran off road - left, FTYROW: At uncontrolled intersection, Made improper turn, Ran Traffic Signal, FTYROW: From driveway, Driver Distraction: Reaching for object(s)/fallen object(s), Operating vehicle in an reckless, erratic, careless, negligent manner, Driver Distraction: Exterior distraction, Swerving/Evasive Action, Improper or erratic lane changing, Ran off road - right, Driver Distraction: Passenger, Exceeded authorized speed, Improper Backing, Crossed centerline (undivided), Failed to keep in proper lane, Failed to yield to emergency vehicle, Passing: Other passing (explain in narrative), Driver Distraction: Unrestrained animal, Operator inexperience, Other (explain in narrative): No improper action, Over correcting/over steering, Oversized Load/Vehicle, Passing: Through/around barrier, Passing: With insufficient distance/inadequate visibility, Driver Distraction: Adjusting devices (radio, climate), Separation of units.
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: Animal,' which initiated 127 crashes. The second most frequent event was a 'Collision with: Vehicle in traffic,' recorded in 91 incidents. Collisions with fixed objects were also common, including 40 crashes where the first harmful event was entering a ditch and 18 involving an overturn or rollover.
First Harmful Event
Showing top 9 of 30 reported. 21 additional (29 total) not shown: Collision with fixed object: Utility pole/light support, Collision with fixed object: Embankment, Collision with fixed object: Culvert/pipe opening, Collision with fixed object: Building, Collision with fixed object: Other post/pole/support (explain in narrative), Collision with: Non-motorist (see non-motorist section - NOT a unit), Collision with fixed object: Mailbox, Collision with fixed object: Concrete traffic barrier (median or right side), Collision with: Other non-fixed object (explain in narrative), Collision with fixed object: Fire hydrant, Collision with fixed object: Curb/island/raised median, Collision with: Struck/struck by object/cargo/person from other vehicle, Collision with fixed object: Bridge pier or support, Miscellaneous events: Eluding law enforcement, Miscellaneous events: Hit and run, Miscellaneous events: Immersion, Non-collision events: Fell/jumped from vehicle, Non-collision events: Other non-collision (explain in narrative), Collision with fixed object: Bridge overhead structure, Non-collision events: Vehicle went airborne, Collision with fixed object: Traffic sign support.
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 away from intersections, with 130 incidents recorded at non-junction locations. Four-way intersections were the most common junction type for crashes, accounting for 62 incidents. An additional 15 crashes were related to driveway access.
Roadway Junction / Feature
Showing top 9 of 10 reported. 1 additional (1 total) not shown: Non-intersection: Bike lanes.
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 458 vehicles. Light trucks and pickups were the second most frequent with 98 vehicles, followed by sport utility vehicles with 73. Commercial tractor-trailers were involved in 13 crashes, and motorcycles were involved in 8.
Vehicle Type
"Other" combines 8 smaller categories (16 records): Single unit truck (2-axle, 6-tire) (5), Single-unit truck (>= 3 axles) (4), Farm tractor (2), School bus (seats > 15) (1), Passenger van (seats 9-15) (1), Moped (1), Farm equipment (explain in narrative) (1), Motor home/recreational vehicle (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 total of 242 instances. Where traffic controls were present, stop signs and traffic signals were the most common, each being a factor for 40 vehicles. Yield signs were noted in 10 instances.
Traffic Control Device
"Other" combines 1 smaller categories (2 records): Flashing traffic control signal (2).
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 damage, recorded in 89 cases. Side impacts were also frequent, with 26 incidents damaging the driver's side middle and 25 damaging the passenger's side middle. Rear impacts were noted in 27 crashes.
Most Damaged Area
"Other" combines 9 smaller categories (93 records): Driver side - front (17), Passenger side - front (16), Driver side - rear (16), Passenger side - rear (13), Rear - driver side corner (10), Other (explain in narrative) (9), Rear - passenger side corner (8), Undercarriage (3), Non-collision/no damage (1).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Impairment (Alcohol / Drugs)
A total of 18 crashes were recorded with driver impairment as a factor, representing 5.4% of all crashes. Of these, 17 incidents involved alcohol, and one involved drugs. These figures should be considered a minimum, as impairment can be under-reported.
Crashes by City
Within Fayette County, the city of Oelwein experienced the highest volume of crashes, with 69 incidents reported in 2015. West Union had the second-highest number with 26 crashes, followed by Fayette with 11. A significant number of crashes occurred in rural areas outside of any specific municipality.
Crashes by City
Showing top 9 of 14 reported. 5 additional (8 total) not shown: ARLINGTON, SAINT LUCAS, WADENA, STANLEY, FAIRBANK.
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, 305 incidents, occurred on paved roads. Crashes on unpaved surfaces like gravel or dirt accounted for 29 incidents, representing approximately 8.7% of crashes where the road surface type was specified.
Paved vs Unpaved Road
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Roadway Contributing Factor
Roadway factors were cited as a contributor in a minority of crashes. The most common factor was 'Surface condition,' such as wet or icy roads, which was noted in 32 incidents. An additional 5 crashes were attributed to a 'Slippery, loose or worn surface.'
Roadway Contributing Factor
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Driver Condition
Among crashes where a specific driver condition other than 'apparently normal' was recorded, driving under the influence of alcohol was the most frequent, noted for 20 drivers. Fatigue or falling asleep was cited for 5 drivers, and an emotional state was a factor for 3 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 254 crashes. High-damage crashes, with estimates of $25,000 or more, accounted for 10 incidents, or 3.0% of the total. A smaller number of crashes, 5 in total, resulted in damage estimated under $1,500.
Property Damage
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Manner of Collision
Over half of all incidents were single-vehicle, non-collision events, accounting for 177 crashes or 52.8% of the total. Among multi-vehicle crashes, the most common type was broadside collisions, with 42 incidents (12.5%), followed by rear-end collisions with 28 incidents (8.4%).
Manner of Collision
"Other" combines 3 smaller categories (9 records): Other (explain in narrative) (4), Sideswipe, opposite direction (3), 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
The most common pre-crash action for vehicles was 'Movement essentially straight,' recorded for 267 vehicles involved in collisions. Turning maneuvers were the next most frequent actions, with 40 vehicles turning left and 17 turning right immediately before a crash.
Pre-Crash Driver Action
Showing top 9 of 15 reported. 6 additional (12 total) not shown: Starting in road, Stopped in traffic, Illegally Parked/Unattended, Changing lanes, Making U-turn, Accelerating in road.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Person Type
Drivers constituted the vast majority of individuals involved in crashes, with 543 of the 570 people recorded being a driver. Passengers accounted for 25 individuals, and 2 people involved were bicyclists.
Person Type
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Person Injury Severity
Of the 570 people involved in crashes, 2 sustained fatal injuries and 109 sustained non-fatal injuries. The injuries included 24 serious injuries, 51 minor injuries, and 34 possible injuries. The remaining individuals were not injured.
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 85 individuals for whom safety equipment use was recorded, 65 were using a shoulder and lap belt. Fourteen individuals were recorded as using no safety equipment at the time of the crash. Two individuals were noted as using 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
Single-vehicle crashes were the most common type, accounting for 219 of the 335 total incidents (65.4%). Two-vehicle crashes were the next most frequent, with 110 incidents (32.8%). There were 6 crashes involving three or more 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: 335
- Total persons involved: 570
- Total vehicles involved: 458
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