Yearly Traffic Safety Analysis

145 CRASHES IN
IOWA, IA
2015

In 2015, Lyon County recorded 145 traffic crashes, which resulted in 0 fatalities and 71 injuries. A notable characteristic of these incidents is that nearly half (49.7%) were single-vehicle crashes. The most frequently cited contributing factor was an animal in the roadway, accounting for 17.2% of all crashes.

145

Total Crash Events

0

Persons Killed

71

Persons Injured

0

Fatal Crash Events

Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (0) 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, there were no fatalities from traffic crashes in Lyon County. A total of 71 people were injured, the vast majority of whom were motorists (69 injuries). Additionally, two cyclists sustained injuries in crashes. No pedestrians were reported as killed or injured.

0

Cyclists Killed

0

Motorists Killed

2

Cyclists Injured

69

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 Lyon County peaked on Fridays, with 34 incidents recorded, and during the 3 p.m. hour, which saw 14 crashes. The months with the highest crash volumes were November (20 crashes) and January (17 crashes). A majority of collisions, 92 in total, 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

A significant portion of crashes, 94 incidents or 64.8%, resulted in no injuries. The remaining 51 crashes (35.2%) involved injuries of varying severity: 4 crashes (2.8%) with serious injuries, 18 (12.4%) with minor injuries, and 29 (20%) with possible injuries. There were no fatal crashes recorded in 2015.

Outcome by Severity (Crash Events)

Serious Injury4serious injury crashes2.8%
Minor Injury18minor injury crashes12.4%
Possible Injury29possible injury crashes20%
No Injury94no injury crashes64.8%

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 common contributing factor cited in crashes was an animal, involved in 25 incidents (17.2%). This was followed by drivers losing control, which was a factor in 23 crashes (15.9%), and running off a straight road, noted in 10 crashes (6.9%). Various forms of driver distraction collectively contributed to 10 crashes.

Officer-Reported Primary Contributing Cause

Animal25 (17.2%)
Lost Control23 (15.9%)
Ran off road - straight10 (6.9%)
Driving too fast for conditions8 (5.5%)
FTYROW: From stop sign7 (4.8%)
Followed too close7 (4.8%)
FTYROW: At uncontrolled intersection6 (4.1%)
Swerving/Evasive Action6 (4.1%)
Ran Stop Sign6 (4.1%)
Driver Distraction: Other interior distraction6 (4.1%)

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 64.8% happening in clear weather and 58.6% on dry road surfaces. Correspondingly, 92 of the 145 crashes (63.4%) took place in daylight. However, adverse conditions were also present, as 12 crashes occurred during snowfall and 21 crashes involved a snow-covered road surface.

Weather

Clear94 (68.1%)
Cloudy20 (14.5%)
Snow12 (8.7%)
Rain4 (2.9%)
Freezing rain/drizzle3 (2.2%)
Blowing sand, soil, dirt2 (1.4%)
Blowing Snow2 (1.4%)
Severe Winds1 (0.7%)

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

Lighting

Daylight92 (66.2%)
Dark - roadway not lighted32 (23.0%)
Dusk8 (5.8%)
Dawn5 (3.6%)
Dark - roadway lighted2 (1.4%)

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

Road Surface

Dry85 (61.2%)
Snow21 (15.1%)
Gravel17 (12.2%)
Wet10 (7.2%)
Ice/frost6 (4.3%)

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

Vehicles & Demographics

Among the 217 vehicles involved in crashes, the most frequent makes were Chevrolet (49 vehicles), Ford (37), and Dodge (19). The age groups most represented among all persons involved in these incidents were 35-44 years old (48 people) and 26-34 years old (43 people).

Top Vehicle Makes (217 vehicles)

1
FORD37 (17.1%)
2
CHEV26 (12%)
3
CHEVROLET23 (10.6%)
4
DODG11 (5.1%)
5
BUIC10 (4.6%)
6
DODGE8 (3.7%)
7
GMC8 (3.7%)
8
PONT8 (3.7%)
9
BUICK6 (2.8%)
10
PETERBILT6 (2.8%)

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

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

Sex Distribution (184 persons with recorded sex)

Male114 (62.0%)
Female70 (38.0%)

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 identified in crash reports was an animal, contributing to 25 incidents. Losing control was the second most frequent cause, cited in 23 crashes, followed by running off a straight road in 10 crashes. Driving too fast for conditions was listed as the major cause for 8 crashes.

Major Cause

1
Animal25 (17.7%)
2
Lost Control23 (16.3%)
3
Ran off road - straight10 (7.1%)
4
Driving too fast for conditions8 (5.7%)
5
FTYROW: From stop sign7 (5%)
6
Followed too close7 (5%)
7
FTYROW: At uncontrolled intersection6 (4.3%)
8
Swerving/Evasive Action6 (4.3%)
9
Ran Stop Sign6 (4.3%)

Showing top 9 of 30 reported. 21 additional (43 total) not shown: Driver Distraction: Other interior distraction, Other (explain in narrative): Other, Driver Distraction: Exterior distraction, FTYROW: From yield sign, Other (explain in narrative): Vision obstructed, Improper Backing, Driver Distraction: Adjusting devices (radio, climate), Failed to keep in proper lane, FTYROW: Making left turn, Made improper turn, Passing: With insufficient distance/inadequate visibility, Operating vehicle in an reckless, erratic, careless, negligent manner, Other (explain in narrative): No improper action, FTYROW: From parked position, Equipment failure, Driver Distraction: Reaching for object(s)/fallen object(s), FTYROW: From driveway, Cargo/equipment loss or shift, Oversized Load/Vehicle, Passing: Through/around barrier, Driver Distraction: Inattentive/lost in thought.

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 another vehicle in traffic, which occurred in 63 crashes. Events related to leaving the roadway were also common, including 24 collisions with an animal, 19 overturns or rollovers, and 19 crashes where the first harmful event was hitting a ditch.

First Harmful Event

1
Collision with: Vehicle in traffic63 (43.4%)
2
Collision with: Animal24 (16.6%)
3
Non-collision events: Overturn/rollover19 (13.1%)
4
Collision with fixed object: Ditch19 (13.1%)
5
Collision with: Parked motor vehicle4 (2.8%)
6
Collision with fixed object: Bridge/bridge rail parapet3 (2.1%)
7
Other (explain in narrative)2 (1.4%)
8
Collision with fixed object: Embankment2 (1.4%)
9
Collision with fixed object: Utility pole/light support2 (1.4%)

Showing top 9 of 14 reported. 5 additional (7 total) not shown: Collision with: Non-motorist (see non-motorist section - NOT a unit), Collision with: Struck/struck by object/cargo/person from other vehicle, Collision with: Re-entering roadway, Collision with: Other non-fixed object (explain in narrative), Collision with fixed object: Traffic signal support.

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

Roadway Junction / Feature

Crashes occurred more frequently on non-junction road segments, which accounted for 77 incidents. Intersections were the location for 49 crashes, the majority of which (42) happened at four-way intersections. An additional 6 crashes occurred at T-intersections.

Roadway Junction / Feature

1
Non-intersection: Non-junction/no special feature77 (55.4%)
2
Intersection: Four-way intersection42 (30.2%)
3
Non-intersection: Driveway access (related, not in)7 (5%)
4
Intersection: T-intersection6 (4.3%)
5
Non-intersection: Driveway access (within)3 (2.2%)
6
Non-intersection: Other non-intersection (explain in narrative)3 (2.2%)
7
Intersection: Other intersection (explain in narrative)1 (0.7%)

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

Vehicle Type

Passenger cars were the most prevalent vehicle type involved in crashes, accounting for 79 of the 217 vehicles. Light trucks and pickups (47 vehicles) and sport utility vehicles (36 vehicles) were the next most common. Tractor-trailers were involved in 16 incidents.

Vehicle Type

"Other" combines 9 smaller categories (16 records): Farm equipment (explain in narrative) (3), Farm tractor (3), Single-unit truck (>= 3 axles) (2), Maintenance/construction vehicle (2), All-terrain vehicle (ATV) (2), Truck tractor (bobtail) (1), Motor home/recreational vehicle (1), Other (explain in narrative) (1), Other small bus (seats 9-15) (1).

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

Traffic Control Device

For a majority of the vehicles involved in crashes (153), no traffic controls were present at the crash location. Where controls were present, stop signs were the most common type, noted for 26 vehicles involved in collisions.

Traffic Control Device

"Other" combines 3 smaller categories (5 records): Warning sign (2), Flashing traffic control signal (2), Inoperative (not functioning properly) (1).

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

Most Damaged Area

Frontal damage was the most common outcome for vehicles in crashes, with 51 vehicles sustaining primary damage to the front and an additional 39 to a front corner. Side impacts were the next most frequent point of damage, recorded for 26 vehicles.

Most Damaged Area

"Other" combines 9 smaller categories (55 records): Driver side - rear (11), Passenger side - rear (10), Passenger side - front (9), Driver side - front (7), Other (explain in narrative) (6), Rear - driver side corner (6), Rear - passenger side corner (3), Non-collision/no damage (2), Undercarriage (1).

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

Crashes by City

Within Lyon County, the city of Rock Rapids had the highest number of crashes, with 31 incidents reported in 2015. Larchwood recorded the second-highest volume with 10 crashes, followed by George and Inwood, which each had 6 crashes.

Crashes by City

1
ROCK RAPIDS31 (50.8%)
2
LARCHWOOD10 (16.4%)
3
GEORGE6 (9.8%)
4
INWOOD6 (9.8%)
5
LESTER4 (6.6%)
6
DOON2 (3.3%)
7
ALVORD1 (1.6%)
8
LITTLE ROCK1 (1.6%)

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

Paved vs Unpaved Road

While the majority of collisions (124) occurred on paved roads, a notable number of incidents took place on unpaved surfaces. In total, 21 crashes, representing 14.5% of all incidents in the county, were on gravel or dirt roads.

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-related issues were cited as contributing factors in a minority of crashes. The most common factor was the surface condition, such as wet or icy pavement, which was noted in 21 incidents. Work zones were identified as a contributing factor in 3 crashes.

Roadway Contributing Factor

1
Surface condition (e.g.wet, icy)21 (75%)
2
Work Zone (roadway-related)3 (10.7%)
3
Traffic backup, prior crash2 (7.1%)
4
Non-highway work1 (3.6%)
5
Slippery, loose or worn surface1 (3.6%)

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

Driver Condition

Among drivers for whom a condition other than 'apparently normal' was recorded, driving under the influence of alcohol was the most frequent, cited for 6 individuals. Other conditions, such as being asleep or fatigued, under the influence of drugs, or experiencing a medical event, were each noted for a single driver.

Driver Condition

1
Under the influence of alcohol6 (60%)
2
Asleep/fatigued1 (10%)
3
Emotional (e.g. depressed, angry)1 (10%)
4
Medical condition (seizure, reaction)1 (10%)
5
Under the influence of drugs/meds1 (10%)

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

Property Damage

The most common officer-estimated property damage cost was in the $1,500 to $7,500 range, a category that included 108 crashes. Seven crashes were estimated to have caused damage exceeding $25,000, while only 5 crashes had 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

Nearly half of all incidents, 72 crashes (49.7%), were single-vehicle, non-collision events, such as rollovers or running off the road. Among crashes involving multiple vehicles, broadside collisions were the most frequent type, with 25 incidents (17.2%), followed by rear-end collisions with 18 incidents (12.4%).

Manner of Collision

"Other" combines 3 smaller categories (6 records): Rear to side (3), Head-on (front to front) (2), Rear to rear (1).

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 for vehicles immediately prior to a crash was moving straight ahead, which was the case for 142 of the 217 vehicles involved. Turning maneuvers were the next most frequent pre-crash actions, with 12 vehicles turning right and 11 turning left.

Pre-Crash Driver Action

1
Movement essentially straight142 (67%)
2
Turning right12 (5.7%)
3
Turning left11 (5.2%)
4
Backing9 (4.2%)
5
Slowing/stopping (deceleration)9 (4.2%)
6
Legally Parked8 (3.8%)
7
Other (explain in narrative)6 (2.8%)
8
Negotiating a curve5 (2.4%)
9
Illegally Parked/Unattended4 (1.9%)

Showing top 9 of 13 reported. 4 additional (6 total) not shown: Overtaking/passing, Stopped in traffic, Leaving a parked position, Accelerating in road.

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

Person Type

Of the 288 individuals involved in traffic crashes, the vast majority (266 people, or 92.4%) were drivers. The remaining individuals included 20 passengers and 2 bicyclists.

Person Type

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

Person Injury Severity

Out of 288 people involved in crashes, 71 sustained an injury. The severity of these injuries varied, with 4 people sustaining serious injuries, 23 minor injuries, and 44 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

Among the 58 vehicle occupants for whom safety equipment use was documented, 47 were reported to have used a shoulder and lap belt. However, 8 occupants, representing 13.8% of this specific group, were recorded as using no restraint at all.

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

The 145 crashes were almost evenly split between single-vehicle incidents, which totaled 74, and two-vehicle incidents, which totaled 70. Only one crash during the year 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: 145
  • Total persons involved: 288
  • Total vehicles involved: 217

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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