Yearly Traffic Safety Analysis

187 CRASHES IN
IOWA, IA
2015

In 2015, Allamakee County recorded 187 traffic crashes, resulting in 3 fatalities and 66 injuries. These incidents involved a total of 321 individuals. A significant finding from the data is that collisions involving animals were the most frequently cited contributing factor, accounting for 52 of the total crashes.

187

Total Crash Events

3

Persons Killed

66

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 2015, all crash fatalities and injuries in Allamakee County involved motor vehicle occupants. A total of 3 motorists were killed and 66 were injured. There were no recorded fatalities or injuries involving pedestrians or cyclists during this period.

3

Motorists Killed

66

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

Crashes in Allamakee County occurred most frequently on Fridays, with 35 incidents recorded in 2015. The peak hour for crashes was 7 p.m., which saw 15 events. While the majority of crashes (96) happened during daylight hours, a substantial number also occurred in darkness, with 49 on unlighted roadways and 9 on lighted ones.

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, 74.3% (139 incidents), resulted in no injuries. Injury-related crashes accounted for 24% of the total, comprising 10 serious injury, 18 minor injury, and 17 possible injury crashes. There were 3 fatal crashes during this period, which resulted in a total of 3 fatalities.

Outcome by Severity (Crash Events)

Fatal3fatal crashes1.6%
Serious Injury10serious injury crashes5.3%
Minor Injury18minor injury crashes9.6%
Possible Injury17possible injury crashes9.1%
No Injury139no injury crashes74.3%

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 common contributing factor cited in crashes was 'Animal,' which was involved in 52 incidents, or 27.8% of the total. The second most frequent factor was 'Lost Control,' noted in 28 crashes (15%). Other significant factors included running off a straight road (14 crashes) and driving too fast for conditions (13 crashes).

Officer-Reported Primary Contributing Cause

Animal52 (27.8%)
Lost Control28 (15%)
Ran off road - straight14 (7.5%)
Driving too fast for conditions13 (7%)
Ran off road - left10 (5.3%)
FTYROW: From stop sign9 (4.8%)
Made improper turn6 (3.2%)
FTYROW: From driveway4 (2.1%)
FTYROW: Making left turn4 (2.1%)
Ran Stop Sign3 (1.6%)

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 favorable conditions, with 55.6% happening in clear weather and 60.4% on dry road surfaces. Over half of the incidents (51.3%) took place during daylight hours. However, adverse road conditions were a factor in a notable number of crashes, including 19 on icy or frosty roads and 16 on snow-covered roads.

Weather

Clear104 (61.9%)
Cloudy32 (19.0%)
Snow12 (7.1%)
Rain7 (4.2%)
Fog, smoke, smog5 (3.0%)
Blowing Snow4 (2.4%)
Freezing rain/drizzle4 (2.4%)

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

Lighting

Daylight96 (56.8%)
Dark - roadway not lighted49 (29.0%)
Dark - roadway lighted9 (5.3%)
Dawn7 (4.1%)
Dusk5 (3.0%)
Dark - unknown roadway lighting3 (1.8%)

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

Road Surface

Dry113 (66.9%)
Ice/frost19 (11.2%)
Snow16 (9.5%)
Wet13 (7.7%)
Gravel6 (3.6%)
Slush2 (1.2%)

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

Vehicles & Demographics

The age group most frequently involved in crashes was 16-20 year olds, with 56 individuals recorded. Adults aged 65 and over were also highly represented with 48 individuals, followed closely by those aged 26-34 and 55-64, each with 47 individuals. The most common vehicle makes involved were Chevrolet (75 vehicles), Ford (38 vehicles), and Dodge (28 vehicles).

Top Vehicle Makes (251 vehicles)

1
CHEVROLET41 (16.3%)
2
FORD38 (15.1%)
3
CHEV34 (13.5%)
4
DODG14 (5.6%)
5
DODGE14 (5.6%)
6
GMC10 (4%)
7
HONDA7 (2.8%)
8
CHRYSLER7 (2.8%)
9
JEEP6 (2.4%)
10
NR5 (2%)

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

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

Sex Distribution (231 persons with recorded sex)

Male134 (58.0%)
Female97 (42.0%)

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 52 incidents. This was followed by drivers losing control, which was cited in 28 crashes. Other primary causes included running off a straight road (14 crashes) and driving too fast for conditions (13 crashes).

Major Cause

1
Animal52 (28.6%)
2
Lost Control28 (15.4%)
3
Ran off road - straight14 (7.7%)
4
Driving too fast for conditions13 (7.1%)
5
Ran off road - left10 (5.5%)
6
FTYROW: From stop sign9 (4.9%)
7
Made improper turn6 (3.3%)
8
FTYROW: From driveway4 (2.2%)
9
FTYROW: Making left turn4 (2.2%)

Showing top 9 of 31 reported. 22 additional (42 total) not shown: Ran Stop Sign, Exceeded authorized speed, Failed to keep in proper lane, Operating vehicle in an reckless, erratic, careless, negligent manner, Other (explain in narrative): Other, Swerving/Evasive Action, Followed too close, Driver Distraction: Inattentive/lost in thought, Passing: Other passing (explain in narrative), FTYROW: From parked position, Driver Distraction: Other interior distraction, Crossed centerline (undivided), FTYROW: Other (explain in narrative), Improper Backing, Driver Distraction: Manual operation of an electronic communication device, Driver Distraction: Reaching for object(s)/fallen object(s), Driver Distraction: Other electronic device activity, Driver Distraction: Talking on a hand-held device, Other (explain in narrative): Improper operation, Other (explain in narrative): Vision obstructed, Ran off road - right, Driver Distraction: Adjusting devices (radio, climate).

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

First Harmful Event

The most frequent first harmful event was a collision with an animal, recorded in 51 crashes. This was closely followed by collisions with another vehicle in traffic, which occurred in 49 incidents. A significant number of crashes, 40 in total, involved a vehicle running into a ditch as the first harmful event.

First Harmful Event

1
Collision with: Animal51 (27.7%)
2
Collision with: Vehicle in traffic49 (26.6%)
3
Collision with fixed object: Ditch40 (21.7%)
4
Non-collision events: Overturn/rollover16 (8.7%)
5
Collision with: Parked motor vehicle5 (2.7%)
6
Collision with: Struck/struck by object/cargo/person from other vehicle4 (2.2%)
7
Other (explain in narrative)3 (1.6%)
8
Collision with fixed object: Embankment3 (1.6%)
9
Collision with: Re-entering roadway3 (1.6%)

Showing top 9 of 17 reported. 8 additional (10 total) not shown: Collision with fixed object: Ground, Collision with fixed object: Utility pole/light support, Collision with fixed object: Building, Collision with fixed object: Fence, Collision with fixed object: Cable barrier, Collision with fixed object: Tree, Collision with fixed object: Mailbox, Collision with fixed object: Guardrail - end.

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

Roadway Junction / Feature

The majority of crashes, totaling 127 incidents or about 68% of all crashes, occurred at non-intersection locations. Crashes at intersections were less common, with 17 occurring at four-way intersections and 12 at T-intersections. Driveway-related incidents accounted for an additional 9 crashes.

Roadway Junction / Feature

1
Non-intersection: Non-junction/no special feature127 (75.6%)
2
Intersection: Four-way intersection17 (10.1%)
3
Intersection: T-intersection12 (7.1%)
4
Non-intersection: Driveway access (related, not in)5 (3%)
5
Non-intersection: Driveway access (within)4 (2.4%)
6
Interchange-related: Other interchange (explain in narrative)1 (0.6%)
7
Non-intersection: Railroad grade crossing1 (0.6%)
8
Intersection: Y-intersection1 (0.6%)

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 95 recorded. Light trucks and pickups were the second most frequent with 63 vehicles, followed by sport utility vehicles with 36. Motorcycles and tractor-trailers were each involved in 7 incidents.

Vehicle Type

"Other" combines 4 smaller categories (9 records): Cargo/panel van (4), Farm tractor (2), Single-unit truck (>= 3 axles) (2), Passenger van (seats 9-15) (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 where no traffic controls were present, a factor noted in 186 incidents. Crashes also occurred at locations with stop signs (25 incidents) and traffic signals (9 incidents). The data indicates that the absence of traffic control devices was the most common setting for crashes.

Traffic Control Device

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

Most Damaged Area

Frontal impacts were the most common type of vehicle damage, with 41 vehicles sustaining damage to the front and 34 to the front driver's side corner. Rear-end damage was noted on 16 vehicles. Damage to the vehicle's side was also common, with 15 vehicles hit on the driver's side middle section.

Most Damaged Area

"Other" combines 8 smaller categories (44 records): Passenger side - middle (8), Passenger side - front (7), Driver side - rear (7), Rear - passenger side corner (6), Passenger side - rear (5), Other (explain in narrative) (5), Rear - driver side corner (3), Undercarriage (3).

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

Crashes by City

Within Allamakee County, the city of Waukon had the highest volume of crashes with 40 incidents. Postville was the next most frequent location with 17 crashes. Other municipalities with recorded crashes included Lansing (6), Harpers Ferry (3), and Waterville (2).

Crashes by City

1
WAUKON40 (58%)
2
POSTVILLE17 (24.6%)
3
LANSING6 (8.7%)
4
HARPERS FERRY3 (4.3%)
5
WATERVILLE2 (2.9%)
6
LEON1 (1.4%)

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

Paved vs Unpaved Road

Crashes on unpaved roads, such as gravel or dirt surfaces, accounted for 21 incidents, or approximately 11.4% of crashes where the road surface type was specified. The majority of crashes, 163 in total, occurred on paved roadways. This highlights the role of the county's secondary road network in traffic incidents.

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 cases where a roadway factor was noted as contributing to a crash, the most common issue was the surface condition, cited in 22 incidents. This includes conditions like wetness or ice. A slippery, loose, or worn surface was the next most frequent factor, contributing to 7 crashes.

Roadway Contributing Factor

1
Surface condition (e.g.wet, icy)22 (68.8%)
2
Slippery, loose or worn surface7 (21.9%)
3
Ruts/holes/bumps2 (6.3%)
4
Shoulders (none, low, soft, high)1 (3.1%)

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 (137 incidents) fell within the $1,500 to $7,500 range. A smaller number of crashes resulted in more significant damage, with 38 incidents estimated between $7,500 and $25,000. Seven crashes, representing 3.7% of the total, were estimated to have caused property 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 most common type of crash was a single-vehicle, non-collision event, such as running off the road or overturning, which accounted for 120 incidents or 64.2% of all crashes. Among multi-vehicle crashes, rear-end collisions were most frequent, with 16 occurrences. Broadside collisions were the next most common type, with 12 incidents recorded.

Manner of Collision

"Other" combines 2 smaller categories (8 records): Sideswipe, opposite direction (5), Other (explain in narrative) (3).

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

Pre-Crash Driver Action

The vast majority of vehicles involved in crashes, 176 in total, were moving straight ahead prior to the incident. Turning maneuvers were the next most common pre-crash actions, with 17 vehicles turning left and 14 turning right. Backing was the pre-crash action for 9 vehicles involved in collisions.

Pre-Crash Driver Action

1
Movement essentially straight176 (72.7%)
2
Turning left17 (7%)
3
Turning right14 (5.8%)
4
Backing9 (3.7%)
5
Legally Parked8 (3.3%)
6
Stopped in traffic4 (1.7%)
7
Slowing/stopping (deceleration)4 (1.7%)
8
Negotiating a curve3 (1.2%)
9
Overtaking/passing1 (0.4%)

Showing top 9 of 15 reported. 6 additional (6 total) not shown: Starting in road, Leaving a parked position, Entering traffic lane (merging), Leaving traffic lane, Accelerating in road, Other (explain in narrative).

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

Person Type

Of the 321 individuals involved in crashes, the vast majority were drivers, accounting for 300 people. Passengers made up the remaining 21 individuals involved. No pedestrians or cyclists were recorded in any of the crash incidents during this period.

Person Type

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

Person Injury Severity

Across all 321 people involved in crashes, 3 suffered fatal injuries. A total of 66 individuals sustained non-fatal injuries, including 10 with serious injuries, 32 with minor injuries, and 24 with possible injuries. Only one person was explicitly recorded with no injuries in this specific breakdown.

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 58 individuals for whom safety equipment use was recorded, 15 were reported as using no restraints, representing 25.8% of this subset. The most commonly reported equipment was a shoulder and lap belt, used by 37 individuals. Due to the small number of records, these figures may not be representative of all crash participants.

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 125 out of 187 crashes, or 66.8% of the total. Two-vehicle collisions were also frequent, with 60 incidents recorded. There were also two crashes that involved 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: 187
  • Total persons involved: 321
  • Total vehicles involved: 251

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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