Yearly Traffic Safety Analysis

247 CRASHES IN
IOWA, IA
2015

In 2015, Cass County recorded 247 traffic crashes, resulting in 5 fatalities and 91 injuries. The single most prominent contributing factor was collisions involving animals, which accounted for 60 separate incidents, representing 24.3% of all crashes in the county.

247

Total Crash Events

5

Persons Killed

91

Persons Injured

4

Fatal Crash Events

Note: "Persons Killed" (5) counts individual fatalities across all crash events. "Fatal" in the severity table below (4) 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

Motorists comprised the vast majority of individuals killed or injured in crashes. A total of 5 motorists were killed and 89 were injured. Additionally, one pedestrian and one cyclist were reported as injured during the period.

0

Pedestrians Killed

0

Cyclists Killed

5

Motorists Killed

1

Pedestrians Injured

1

Cyclists Injured

89

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 occurred most frequently on Fridays, with 44 incidents reported. The peak time for collisions was the 7 a.m. hour, which saw 19 crashes. Analysis of lighting conditions shows that 127 crashes (51.4%) happened during daylight, while 65 crashes occurred in dark conditions, either on unlighted (54) or lighted (11) roadways.

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 majority of crashes, 184 out of 247 (74.5%), resulted in no injuries. Crashes involving injuries of any severity totaled 63 incidents. This includes 4 fatal crashes, which resulted in a total of 5 fatalities, indicating that one crash involved multiple deaths.

Severity is per crash event (most severe injury). 4 fatal crash events resulted in 5 persons killed.

Outcome by Severity (Crash Events)

Fatal4fatal crashes1.6%
Serious Injury10serious injury crashes4%
Minor Injury17minor injury crashes6.9%
Possible Injury32possible injury crashes13%
No Injury184no injury crashes74.5%

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 leading contributing factor identified in crash reports was animals, cited in 60 crashes or 24.3% of the total. The next most common factors were losing control of the vehicle (39 crashes, 15.8%) and running off the road while driving straight (22 crashes, 8.9%).

Officer-Reported Primary Contributing Cause

Animal60 (24.3%)
Lost Control39 (15.8%)
Ran off road - straight22 (8.9%)
FTYROW: From stop sign16 (6.5%)
Driving too fast for conditions14 (5.7%)
Followed too close13 (5.3%)
Other (explain in narrative): Other11 (4.5%)
Ran off road - left9 (3.6%)
Ran Stop Sign8 (3.2%)
Driver Distraction: Other interior distraction6 (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

Over half of all crashes, 136 out of 247 (55.1%), occurred on dry road surfaces. Similarly, 127 crashes (51.4%) took place in daylight and 108 (43.7%) in clear weather. Adverse conditions were also a factor, with 22 crashes on snow-covered roads, 22 on wet surfaces, and 65 incidents occurring in darkness.

Weather

Clear108 (54.5%)
Cloudy41 (20.7%)
Snow22 (11.1%)
Rain10 (5.1%)
Blowing Snow7 (3.5%)
Freezing rain/drizzle7 (3.5%)
Fog, smoke, smog2 (1.0%)
Severe Winds1 (0.5%)

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

Lighting

Daylight127 (63.5%)
Dark - roadway not lighted54 (27.0%)
Dark - roadway lighted11 (5.5%)
Dusk5 (2.5%)
Dawn3 (1.5%)

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

Road Surface

Dry136 (67.7%)
Wet22 (10.9%)
Ice/frost21 (10.4%)
Snow16 (8.0%)
Slush3 (1.5%)
Gravel2 (1.0%)
Other (explain in narrative)1 (0.5%)

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

Vehicles & Demographics

The most frequently involved vehicle makes were Chevrolet (67 vehicles) and Ford (65 vehicles). Analysis of persons involved in crashes shows that the 16-20 age group was the most represented, with 74 individuals. This was followed by the 26-34 age group with 70 individuals and the 35-44 age group with 66 individuals.

Top Vehicle Makes (362 vehicles)

1
FORD65 (18%)
2
CHEV37 (10.2%)
3
CHEVROLET30 (8.3%)
4
DODGE18 (5%)
5
JEEP18 (5%)
6
FREIGHTLINER13 (3.6%)
7
DODG13 (3.6%)
8
INTERNATIONA11 (3%)
9
TOYOTA11 (3%)
10
BUIC8 (2.2%)

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 (309 persons with recorded sex)

Male195 (63.1%)
Female114 (36.9%)

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

Major Cause

The most frequently cited major cause for crashes was an animal in the roadway, accounting for 60 incidents. Losing control was the second leading cause with 39 crashes, followed by running off the road on a straight segment with 22 crashes. Failure to yield from a stop sign was cited in 16 crashes.

Major Cause

1
Animal60 (24.6%)
2
Lost Control39 (16%)
3
Ran off road - straight22 (9%)
4
FTYROW: From stop sign16 (6.6%)
5
Driving too fast for conditions14 (5.7%)
6
Followed too close13 (5.3%)
7
Other (explain in narrative): Other11 (4.5%)
8
Ran off road - left9 (3.7%)
9
Ran Stop Sign8 (3.3%)

Showing top 9 of 38 reported. 29 additional (52 total) not shown: Driver Distraction: Other interior distraction, Crossed centerline (undivided), Exceeded authorized speed, FTYROW: At uncontrolled intersection, FTYROW: From driveway, Improper or erratic lane changing, Swerving/Evasive Action, Other (explain in narrative): No improper action, Driver Distraction: Exterior distraction, FTYROW: Other (explain in narrative), Ran Traffic Signal, FTYROW: Making left turn, Ran off road - right, Operating vehicle in an reckless, erratic, careless, negligent manner, Driver Distraction: Reaching for object(s)/fallen object(s), Other (explain in narrative): Vision obstructed, Passing: Other passing (explain in narrative), Passing: Where prohibited by signs/markings, Driver Distraction: Manual operation of an electronic communication device, Driver Distraction: Inattentive/lost in thought, Failed to keep in proper lane, Downhill runaway, Equipment failure, FTYROW: From parked position, FTYROW: Making right turn on red signal, FTYROW: To pedestrian, Improper Backing, Traveling wrong way or on wrong side of road, Driver Distraction: Unrestrained animal.

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 sequence was a collision with another vehicle in traffic, which occurred in 92 incidents. The second most frequent event was a collision with an animal, recorded in 59 crashes. Collisions with a fixed object, such as a ditch (20) or an overturn/rollover (13), were also significant.

First Harmful Event

1
Collision with: Vehicle in traffic92 (37.6%)
2
Collision with: Animal59 (24.1%)
3
Collision with fixed object: Ditch20 (8.2%)
4
Non-collision events: Overturn/rollover13 (5.3%)
5
Collision with: Parked motor vehicle10 (4.1%)
6
Other (explain in narrative)6 (2.4%)
7
Collision with fixed object: Bridge/bridge rail parapet5 (2%)
8
Non-collision events: Other non-collision (explain in narrative)5 (2%)
9
Collision with fixed object: Guardrail - face4 (1.6%)

Showing top 9 of 25 reported. 16 additional (31 total) not shown: Collision with fixed object: Other post/pole/support (explain in narrative), Non-collision events: Jackknife, Non-collision events: Vehicle went airborne, Collision with: Struck/struck by object/cargo/person from other vehicle, Collision with: Non-motorist (see non-motorist section - NOT a unit), Collision with: Other non-fixed object (explain in narrative), Non-collision events: Non-contact vehicle (phantom), Collision with fixed object: Cable barrier, Collision with fixed object: Tree, Collision with fixed object: Utility pole/light support, Collision with fixed object: Culvert/pipe opening, Collision with fixed object: Traffic sign support, Collision with fixed object: Wall, Collision with fixed object: Fence, Collision with: Thrown or falling object, Collision with fixed object: Bridge overhead structure.

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

Roadway Junction / Feature

The majority of crashes, 145 incidents or 58.7% of the total, occurred at non-junction locations along a road segment. Intersections accounted for 41 crashes, with 29 of those happening at four-way intersections and 10 at T-intersections.

Roadway Junction / Feature

1
Non-intersection: Non-junction/no special feature145 (72.1%)
2
Intersection: Four-way intersection29 (14.4%)
3
Intersection: T-intersection10 (5%)
4
Non-intersection: Driveway access (related, not in)4 (2%)
5
Non-intersection: Alley3 (1.5%)
6
Non-intersection: Driveway access (within)3 (1.5%)
7
Intersection: Other intersection (explain in narrative)2 (1%)
8
Interchange-related: Off-ramp, diverge area2 (1%)
9
Non-intersection: Crossover-related1 (0.5%)

Showing top 9 of 11 reported. 2 additional (2 total) not shown: Interchange-related: Off-ramp, Non-intersection: Other non-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, with 143 units. Sport utility vehicles (72 units) and four-tire light trucks or pickups (64 units) were also frequently involved. Additionally, 36 tractor/semi-trailer trucks were involved in collisions.

Vehicle Type

"Other" combines 8 smaller categories (11 records): Farm tractor (3), Single-unit truck (>= 3 axles) (2), Motor home/recreational vehicle (1), Passenger van (seats 9-15) (1), Tractor/doubles (1), Truck tractor (bobtail) (1), Truck/trailer (1), Farm equipment (explain in narrative) (1).

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

Traffic Control Device

A large majority of incidents, 260 instances, were recorded as occurring where no traffic controls were present. In contrast, 40 incidents occurred at locations with stop signs, and 13 took place at intersections controlled by traffic signals.

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 81 vehicles sustaining primary damage to the front area. An additional 35 vehicles were most damaged at the rear, suggesting rear-end collisions, while 60 vehicles sustained primary damage to the driver or passenger side.

Most Damaged Area

"Other" combines 9 smaller categories (69 records): Passenger side - front (16), Driver side - rear (12), Top (11), Rear - driver side corner (9), Passenger side - rear (8), Undercarriage (4), Other (explain in narrative) (4), Rear - passenger side corner (4), Cargo loss (1).

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

Crashes by City

The city of Atlantic recorded the highest volume of crashes with 78 incidents. The next highest count was in Anita, with 8 crashes. Other municipalities like Lewis and Griswold each reported 4 crashes.

Crashes by City

1
ATLANTIC78 (78.8%)
2
ANITA8 (8.1%)
3
LEWIS4 (4%)
4
GRISWOLD4 (4%)
5
WIOTA2 (2%)
6
CUMBERLAND1 (1%)
7
MARNE1 (1%)
8
MASSENA1 (1%)

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, 237 out of 247, occurred on paved roadways. Ten crashes, representing 4.0% of the total, took place on unpaved surfaces such as 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

Among roadway-related contributing factors, adverse surface conditions such as wet or icy roads were cited in 32 crashes. Debris on the roadway was noted as a factor in 4 crashes, and a slippery or worn surface was cited in 3 incidents.

Roadway Contributing Factor

1
Surface condition (e.g.wet, icy)32 (76.2%)
2
Debris4 (9.5%)
3
Slippery, loose or worn surface3 (7.1%)
4
Non-highway work1 (2.4%)
5
Ruts/holes/bumps1 (2.4%)
6
Traffic backup, regular congestion1 (2.4%)

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 noted, 6 were identified as asleep or fatigued. An additional 5 drivers were recorded as being under the influence of alcohol, and 3 had a medical condition.

Driver Condition

1
Asleep/fatigued6 (35.3%)
2
Under the influence of alcohol5 (29.4%)
3
Medical condition (seizure, reaction)3 (17.6%)
4
Emotional (e.g. depressed, angry)1 (5.9%)
5
Paraplegic/wheelchair restricted1 (5.9%)
6
Under the influence of drugs/meds1 (5.9%)

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 fell within the $1,500 to $7,500 range, which applied to 162 crashes. There were 71 crashes with damages estimated between $7,500 and $25,000, and 11 crashes with damages 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

Single-vehicle crashes, categorized as non-collision events, were the most prevalent type, accounting for 121 incidents or 49% of all crashes. The next most common manners of collision were rear-end impacts (31 crashes, 12.6%) and broadside collisions (27 crashes, 10.9%).

Manner of Collision

"Other" combines 3 smaller categories (7 records): Sideswipe, opposite direction (4), Other (explain in narrative) (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 predominant pre-crash action for vehicles involved was moving straight ahead, which was recorded for 240 vehicles. The next most common actions were turning left, noted for 19 vehicles, and being legally parked, noted for 14 vehicles.

Pre-Crash Driver Action

1
Movement essentially straight240 (72.3%)
2
Turning left19 (5.7%)
3
Legally Parked14 (4.2%)
4
Backing10 (3%)
5
Slowing/stopping (deceleration)9 (2.7%)
6
Stopped in traffic8 (2.4%)
7
Other (explain in narrative)7 (2.1%)
8
Changing lanes7 (2.1%)
9
Overtaking/passing7 (2.1%)

Showing top 9 of 14 reported. 5 additional (11 total) not shown: Turning right, Starting in road, Negotiating a curve, Leaving traffic lane, Illegally Parked/Unattended.

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

Person Type

Of the 461 individuals involved in crashes, the vast majority, 427, were drivers. The count also included 32 passengers, one pedestrian, and one bicyclist.

Person Type

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

Person Injury Severity

Across all 461 people involved in crashes, 5 sustained fatal injuries and 91 sustained non-fatal injuries. The injuries were categorized as serious for 15 people, minor for 34, and possible for 42.

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 subset of 83 occupants where safety equipment use was documented, 14 individuals (16.9%) were recorded as using no restraints. In contrast, 62 individuals were noted as using both a shoulder and lap belt.

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 frequent type, with 143 incidents making up 57.9% of the total. Two-vehicle collisions were the second most common, accounting for 96 incidents or 38.9% of all crashes.

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: 247
  • Total persons involved: 461
  • Total vehicles involved: 362

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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