Yearly Traffic Safety Analysis

379 CRASHES IN
IOWA, IA
2015

In 2015, Winneshiek County recorded 379 traffic crashes, resulting in 2 fatalities and 114 injuries. A significant portion of these incidents involved non-collision events or specific contributing factors. The most frequently cited contributing factor was the presence of an animal, which was noted in 120 crashes, accounting for nearly 32% of all incidents.

379

Total Crash Events

2

Persons Killed

114

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 fatalities and the vast majority of injuries from traffic crashes in Winneshiek County. A total of 2 motorists were killed and 112 were injured. There were no cyclist fatalities or injuries recorded. Two pedestrians were reported as injured, but no pedestrian fatalities occurred.

0

Pedestrians Killed

2

Motorists Killed

2

Pedestrians Injured

112

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 occurrences in Winneshiek County were highest on Tuesdays, Wednesdays, and Saturdays, each recording 59 incidents in 2015. The single busiest hour for crashes was 5 PM, with 40 events. While a majority of crashes, 215 out of 379, occurred during daylight hours, a substantial number, 115, took place in dark 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 379 crashes in 2015, the majority (76.8% or 291 crashes) resulted in no injuries and were classified as property damage only. The remaining incidents included 86 crashes with possible, minor, or serious injuries. There were 2 fatal crashes, which resulted in a total of 2 fatalities.

Outcome by Severity (Crash Events)

Fatal2fatal crashes0.5%
Serious Injury16serious injury crashes4.2%
Minor Injury38minor injury crashes10%
Possible Injury32possible injury crashes8.4%
No Injury291no injury crashes76.8%

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 significant contributing factor to crashes in Winneshiek County was the presence of an animal, cited in 120 incidents, or 31.7% of the total. Following this, 'Lost Control' was a factor in 46 crashes (12.1%), and 'Ran off road - straight' contributed to 22 crashes (5.8%). Failure to yield from a stop sign and driving too fast for conditions were each noted in 21 crashes.

Officer-Reported Primary Contributing Cause

Animal120 (31.7%)
Lost Control46 (12.1%)
Ran off road - straight22 (5.8%)
FTYROW: From stop sign21 (5.5%)
Driving too fast for conditions21 (5.5%)
Ran off road - left18 (4.7%)
Followed too close12 (3.2%)
Other (explain in narrative): Other12 (3.2%)
Swerving/Evasive Action9 (2.4%)
Ran Stop Sign9 (2.4%)

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 228 incidents (60.2%) happening in clear weather and 244 (64.4%) on dry road surfaces. Over half of the crashes, 215 in total (56.7%), took place during daylight hours. Adverse weather conditions such as snow were noted in 28 crashes, and crashes on snow-covered roads occurred 36 times.

Weather

Clear228 (65.9%)
Cloudy65 (18.8%)
Snow28 (8.1%)
Rain10 (2.9%)
Fog, smoke, smog4 (1.2%)
Blowing Snow4 (1.2%)
Sleet, hail3 (0.9%)
Freezing rain/drizzle2 (0.6%)
Severe Winds2 (0.6%)

Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Weather condition at time of crash

Lighting

Daylight215 (61.8%)
Dark - roadway not lighted93 (26.7%)
Dark - roadway lighted22 (6.3%)
Dusk13 (3.7%)
Dawn5 (1.4%)

Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Lighting condition field

Road Surface

Dry244 (70.3%)
Snow36 (10.4%)
Gravel21 (6.1%)
Wet19 (5.5%)
Ice/frost19 (5.5%)
Slush5 (1.4%)
Other (explain in narrative)2 (0.6%)
Mud, dirt1 (0.3%)

Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Road surface condition field

Vehicles & Demographics

Analysis of persons involved in crashes shows the 16-20 age group was the most represented, with 99 individuals, followed by the 45-54 age group with 89 individuals. Among the 524 vehicles involved, Chevrolet was the most frequent make with 109 vehicles, followed by Ford with 94 vehicles. Pontiac and Dodge were also common, with 33 and 28 vehicles respectively.

Top Vehicle Makes (524 vehicles)

1
CHEVROLET109 (20.8%)
2
FORD94 (17.9%)
3
PONTIAC33 (6.3%)
4
DODGE28 (5.3%)
5
BUICK23 (4.4%)
6
GMC22 (4.2%)
7
CHRYSLER21 (4%)
8
TOYOTA17 (3.2%)
9
JEEP17 (3.2%)
10
HONDA14 (2.7%)

Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records

34 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (486 persons with recorded sex)

Male279 (57.4%)
Female207 (42.6%)

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 attributed to animals, accounting for 120 incidents (31.7%). The second most common cause was 'Lost Control,' cited in 46 crashes (12.1%). Other significant causes included 'Ran off road - straight' with 22 crashes, and both 'Failure to yield right of way from a stop sign' and 'Driving too fast for conditions' each contributing to 21 crashes.

Major Cause

1
Animal120 (33.5%)
2
Lost Control46 (12.8%)
3
Ran off road - straight22 (6.1%)
4
FTYROW: From stop sign21 (5.9%)
5
Driving too fast for conditions21 (5.9%)
6
Ran off road - left18 (5%)
7
Followed too close12 (3.4%)
8
Other (explain in narrative): Other12 (3.4%)
9
Swerving/Evasive Action9 (2.5%)

Showing top 9 of 40 reported. 31 additional (77 total) not shown: Ran Stop Sign, Driver Distraction: Other interior distraction, Operating vehicle in an reckless, erratic, careless, negligent manner, FTYROW: From driveway, FTYROW: From parked position, Exceeded authorized speed, Ran off road - right, Other (explain in narrative): Vision obstructed, FTYROW: Making left turn, Made improper turn, Driver Distraction: Adjusting devices (radio, climate), Driver Distraction: Exterior distraction, Driver Distraction: Inattentive/lost in thought, Driver Distraction: Other electronic device activity, Driver Distraction: Talking on a hands free device, Improper or erratic lane changing, Improper Backing, Other (explain in narrative): Getting off/out of vehicle, Other (explain in narrative): Improper operation, Other (explain in narrative): No improper action, FTYROW: Other (explain in narrative), FTYROW: Making right turn on red signal, Passing: With insufficient distance/inadequate visibility, FTYROW: From yield sign, Equipment failure, Driver Distraction: Unrestrained animal, Driver Distraction: Reaching for object(s)/fallen object(s), Driver Distraction: Passenger, Traveling wrong way or on wrong side of road, Driver Distraction: Manual operation of an electronic communication device, Vehicle stopped on railroad tracks.

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 an animal, which initiated 118 crashes. The second most frequent event was a collision with another vehicle in traffic, recorded in 92 incidents. Collisions with fixed objects, such as a ditch (26 crashes), and non-collision events like rollovers (16 crashes) were also prevalent.

First Harmful Event

1
Collision with: Animal118 (39.1%)
2
Collision with: Vehicle in traffic92 (30.5%)
3
Collision with fixed object: Ditch26 (8.6%)
4
Non-collision events: Overturn/rollover16 (5.3%)
5
Collision with: Parked motor vehicle15 (5%)
6
Other (explain in narrative)6 (2%)
7
Collision with fixed object: Tree5 (1.7%)
8
Collision with fixed object: Traffic sign support3 (1%)
9
Collision with fixed object: Bridge/bridge rail parapet3 (1%)

Showing top 9 of 23 reported. 14 additional (18 total) not shown: Collision with fixed object: Guardrail - face, Collision with fixed object: Embankment, Non-collision events: Other non-collision (explain in narrative), Collision with fixed object: Fence, Collision with fixed object: Utility pole/light support, Collision with: Other non-fixed object (explain in narrative), Collision with fixed object: Culvert/pipe opening, Collision with: Railway vehicle/train, Collision with fixed object: Building, Miscellaneous events: Hit and run, Collision with fixed object: Bridge pier or support, Collision with fixed object: Bridge overhead structure, Collision with fixed object: Other fixed object (explain in narrative), Collision with fixed object: Snow bank.

Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records

Roadway Junction / Feature

A significant majority of crashes, 238 out of 379, occurred at non-junction locations along a road segment. Crashes at intersections were less frequent, with 45 occurring at four-way intersections and 33 at T-intersections. An additional 12 crashes were related to driveway access points.

Roadway Junction / Feature

1
Non-intersection: Non-junction/no special feature238 (68.4%)
2
Intersection: Four-way intersection45 (12.9%)
3
Intersection: T-intersection33 (9.5%)
4
Non-intersection: Driveway access (related, not in)12 (3.4%)
5
Non-intersection: Other non-intersection (explain in narrative)9 (2.6%)
6
Non-intersection: Driveway access (within)6 (1.7%)
7
Non-intersection: Alley2 (0.6%)
8
Intersection: Y-intersection1 (0.3%)
9
Non-intersection: Railroad grade crossing1 (0.3%)

Showing top 9 of 10 reported. 1 additional (1 total) not shown: Intersection: Other intersection (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, accounting for 220 of the 524 vehicles. Sport utility vehicles (122) and light trucks or pickups (85) were the next most frequent types. The data also includes 11 tractor/semi-trailers and 9 motorcycles involved in crashes.

Vehicle Type

"Other" combines 9 smaller categories (18 records): Single-unit truck (>= 3 axles) (4), Farm tractor (4), Cargo/panel van (4), Train (1), Truck tractor (bobtail) (1), Other bus (seats > 15) (1), All-terrain vehicle (ATV) (1), School bus (seats > 15) (1), Maintenance/construction vehicle (1).

Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records

Traffic Control Device

The vast majority of crashes occurred in areas with no traffic controls present, with this category being noted 385 times. In contrast, crashes at locations with stop signs were recorded 41 times, and those with traffic signals were recorded 32 times. A no passing zone was marked in 10 instances.

Traffic Control Device

"Other" combines 3 smaller categories (3 records): Warning sign (1), Other (explain in narrative) (1), Flashing traffic control signal (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 frequently damaged area, recorded in 125 instances. This was followed by front-corner impacts, with 46 on the passenger side and 43 on the driver side. Damage to the rear of the vehicle, indicative of rear-end collisions, was noted 47 times, while side damage was recorded in 59 cases.

Most Damaged Area

"Other" combines 9 smaller categories (100 records): Passenger side - middle (24), Passenger side - front (22), Driver side - rear (12), Rear - passenger side corner (11), Passenger side - rear (11), Rear - driver side corner (8), Non-collision/no damage (4), Undercarriage (4), Other (explain in narrative) (4).

Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records

Crashes by City

Crash distribution within the county was heavily concentrated in Decorah, which recorded 120 incidents. Calmar had the second-highest number with 16 crashes. Other municipalities such as Ridgeway, Ossian, and Spillville each reported 5 or fewer crashes.

Crashes by City

1
DECORAH120 (79.5%)
2
CALMAR16 (10.6%)
3
RIDGEWAY5 (3.3%)
4
OSSIAN3 (2%)
5
SPILLVILLE2 (1.3%)
6
FORT ATKINSON2 (1.3%)
7
JACKSON JUNCTION2 (1.3%)
8
CASTALIA1 (0.7%)

Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records

Paved vs Unpaved Road

Of the crashes where road surface type was specified, 318 occurred on paved roads and 43 occurred on unpaved surfaces like gravel or dirt. This indicates that approximately 11.9% of these incidents 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

Among roadway-related contributing factors, adverse surface conditions such as wet or icy pavement were the most common, cited in 44 crashes. Work zones were a factor in 6 incidents. Other less frequent factors included traffic backups and road defects like ruts or holes.

Roadway Contributing Factor

1
Surface condition (e.g.wet, icy)44 (74.6%)
2
Work Zone (roadway-related)6 (10.2%)
3
Traffic backup, regular congestion3 (5.1%)
4
Ruts/holes/bumps2 (3.4%)
5
Traffic backup, prior crash1 (1.7%)
6
Slippery, loose or worn surface1 (1.7%)
7
Disabled vehicle1 (1.7%)
8
Traffic backup, prior non-recurring incident1 (1.7%)

Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records

Driver Condition

In cases where a driver's condition was noted as a factor, being under the influence of alcohol was the most frequent, recorded for 9 drivers. Driver fatigue or falling asleep was cited for 4 drivers. Medical conditions and emotional state were each noted as factors for 3 and 2 drivers, respectively.

Driver Condition

1
Under the influence of alcohol9 (47.4%)
2
Asleep/fatigued4 (21.1%)
3
Medical condition (seizure, reaction)3 (15.8%)
4
Emotional (e.g. depressed, angry)2 (10.5%)
5
Walks with a cane/crutches1 (5.3%)

Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records

Property Damage

The most common range for estimated property damage was between $1,500 and $7,500, which applied to 282 crashes. A smaller number of crashes resulted in higher damage, with 81 incidents estimated between $7,500 and $25,000. Only 3 crashes, or 0.8% of the total, were estimated to have 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

The dominant manner of collision was single-vehicle, non-collision events, which accounted for 239 crashes, or 63.1% of the total. Among multi-vehicle crashes, rear-end collisions were the most frequent type with 49 incidents, followed by broadside collisions with 34 incidents.

Manner of Collision

"Other" combines 3 smaller categories (11 records): Rear to side (6), Other (explain in narrative) (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 involved was 'Movement essentially straight,' reported for 384 of the 524 vehicles (73.3%). Turning left was the next most frequent action, noted for 29 vehicles, followed by vehicles that were legally parked, which accounted for 22 involved vehicles.

Pre-Crash Driver Action

1
Movement essentially straight384 (75%)
2
Turning left29 (5.7%)
3
Legally Parked22 (4.3%)
4
Stopped in traffic19 (3.7%)
5
Negotiating a curve15 (2.9%)
6
Backing11 (2.1%)
7
Slowing/stopping (deceleration)10 (2%)
8
Turning right8 (1.6%)
9
Making U-turn3 (0.6%)

Showing top 9 of 15 reported. 6 additional (11 total) not shown: Entering traffic lane (merging), Other (explain in narrative), Illegally Parked/Unattended, Overtaking/passing, Leaving a parked position, Changing lanes.

Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records

Person Type

Of the 641 individuals involved in crashes, the vast majority, 610 people (95.2%), were drivers. Passengers accounted for 29 of the individuals, and 2 pedestrians were involved in incidents. No cyclists were recorded in this dataset.

Person Type

Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records

Person Injury Severity

A total of 116 individuals sustained injuries or were killed in crashes, representing 18.1% of all people involved. This includes 2 fatalities, 19 serious injuries, 46 minor injuries, and 49 possible injuries. The majority of people involved in crashes were not physically 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 78 individuals for whom safety equipment use was specified, 16 (20.5%) were recorded as using no restraints. The most commonly reported equipment was a shoulder and lap belt, used by 53 people. Additionally, 4 individuals used a DOT-compliant helmet and 3 were in a child safety seat.

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 of incident, accounting for 241 of the 379 total crashes (63.6%). Two-vehicle collisions were the next most frequent, with 130 incidents. Crashes involving three or more vehicles were rare, with only 7 such events recorded, including one five-vehicle crash.

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: 379
  • Total persons involved: 641
  • Total vehicles involved: 524

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

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