Yearly Traffic Safety Analysis

46 CRASHES IN
IOWA, IA
2015

In 2015, Wayne County recorded 46 traffic crashes, resulting in 1 fatality and 24 injuries. The most significant contributing factor identified in these incidents was collisions with animals, which accounted for 34.8% of all crashes.

46

Total Crash Events

1

Persons Killed

24

Persons Injured

1

Fatal Crash Events

Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) 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 reported crash casualties in Wayne County were motor vehicle occupants. There was 1 motorist killed and a total of 24 motorists injured. No pedestrians or cyclists were reported as killed or injured in crashes during this period.

1

Motorists Killed

24

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 Wayne County occurred most frequently on Fridays, with 11 incidents recorded. The peak time for crashes was the 6 p.m. hour, which saw 6 separate incidents. The data also shows a significant number of crashes occurring during early morning hours, with 5 crashes in the 6 a.m. hour.

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, 30 out of 46 (65.2%), resulted in no injuries. The remaining incidents included 15 crashes with possible, minor, or serious injuries, and one fatal crash which accounted for 2.2% of the total. This single fatal crash resulted in one fatality.

Outcome by Severity (Crash Events)

Fatal1fatal crashes2.2%
Serious Injury2serious injury crashes4.3%
Minor Injury5minor injury crashes10.9%
Possible Injury8possible injury crashes17.4%
No Injury30no injury crashes65.2%

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 primary contributing factor to crashes was interaction with an animal, cited in 16 incidents, or 34.8% of the total. Other notable factors included losing control and running off a straight road, each contributing to 3 crashes (6.5% each). Various forms of failing to yield the right-of-way were cited in 6 separate crashes.

Officer-Reported Primary Contributing Cause

Animal16 (34.8%)
Lost Control3 (6.5%)
Ran off road - straight3 (6.5%)
FTYROW: Making left turn2 (4.3%)
Made improper turn2 (4.3%)
Crossed centerline (undivided)2 (4.3%)
Other (explain in narrative): Other2 (4.3%)
FTYROW: From parked position1 (2.2%)
FTYROW: From stop sign1 (2.2%)
FTYROW: Other (explain in narrative)1 (2.2%)

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 24 incidents (52.2%) happening in daylight and 26 (56.5%) on dry road surfaces. Clear weather was reported in 22 crashes, while 10 occurred under cloudy skies and 3 during rain. Adverse road conditions were noted in a minority of cases, including 5 crashes on wet surfaces, 3 on gravel, and 2 in snow.

Weather

Clear22 (61.1%)
Cloudy10 (27.8%)
Rain3 (8.3%)
Blowing sand, soil, dirt1 (2.8%)

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

Lighting

Daylight24 (66.7%)
Dark - roadway not lighted11 (30.6%)
Dawn1 (2.8%)

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

Road Surface

Dry26 (72.2%)
Wet5 (13.9%)
Gravel3 (8.3%)
Snow2 (5.6%)

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 55-64 age group was most represented with 18 individuals, followed closely by the 16-20 age group with 16 individuals. Among the 63 vehicles involved, Chevrolet (16 vehicles, combining 'CHEV' and 'CHEVROLET' entries) and Ford (15 vehicles) were the most frequent makes. Pontiac was the next most common make with 4 vehicles involved in crashes.

Top Vehicle Makes (63 vehicles)

1
FORD15 (23.8%)
2
CHEV11 (17.5%)
3
CHEVROLET5 (7.9%)
4
PONT4 (6.3%)
5
BUIC3 (4.8%)
6
FREIGHTLINER2 (3.2%)
7
MERCURY2 (3.2%)
8
KIA2 (3.2%)
9
BUICK2 (3.2%)
10
DODGE2 (3.2%)

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

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

Sex Distribution (57 persons with recorded sex)

Male30 (52.6%)
Female27 (47.4%)

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

Major Cause

The predominant major cause of crashes was interaction with an animal, which was cited in 16 incidents, representing 34.8% of all crashes. Losing control and running off a straight road were the next most common causes, each attributed to 3 crashes (6.5% each). Other contributing causes included failure to yield while making a left turn, making an improper turn, and crossing the centerline, each noted in 2 crashes.

Major Cause

1
Animal16 (35.6%)
2
Lost Control3 (6.7%)
3
Ran off road - straight3 (6.7%)
4
FTYROW: Making left turn2 (4.4%)
5
Made improper turn2 (4.4%)
6
Crossed centerline (undivided)2 (4.4%)
7
Other (explain in narrative): Other2 (4.4%)
8
FTYROW: From parked position1 (2.2%)
9
FTYROW: From stop sign1 (2.2%)

Showing top 9 of 22 reported. 13 additional (13 total) not shown: FTYROW: Other (explain in narrative), Improper Backing, Operating vehicle in an reckless, erratic, careless, negligent manner, Operator inexperience, Other (explain in narrative): Improper operation, Ran Stop Sign, Swerving/Evasive Action, Driver Distraction: Inattentive/lost in thought, Driver Distraction: Talking on a hand-held device, Driving too fast for conditions, Exceeded authorized speed, Followed too close, FTYROW: At uncontrolled intersection.

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, recorded in 16 of the 46 crashes (34.8%). Collision with another vehicle in traffic was the second most frequent event, occurring in 13 crashes (28.3%). Run-off-road events were also significant, with 6 crashes involving a ditch and 3 involving an overturn or rollover.

First Harmful Event

1
Collision with: Animal16 (34.8%)
2
Collision with: Vehicle in traffic13 (28.3%)
3
Collision with fixed object: Ditch6 (13%)
4
Non-collision events: Overturn/rollover3 (6.5%)
5
Collision with: Parked motor vehicle3 (6.5%)
6
Other (explain in narrative)1 (2.2%)
7
Collision with fixed object: Building1 (2.2%)
8
Collision with fixed object: Utility pole/light support1 (2.2%)
9
Collision with: Railway vehicle/train1 (2.2%)

Showing top 9 of 10 reported. 1 additional (1 total) not shown: Non-collision events: Vehicle went airborne.

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

Roadway Junction / Feature

A majority of crashes, 23 out of 46 (50%), occurred at non-junction locations along a road segment. Intersections accounted for 11 crashes, with 6 at four-way intersections and 4 at T-intersections. An additional crash was related to driveway access and one occurred at a railroad grade crossing.

Roadway Junction / Feature

1
Non-intersection: Non-junction/no special feature23 (63.9%)
2
Intersection: Four-way intersection6 (16.7%)
3
Intersection: T-intersection4 (11.1%)
4
Non-intersection: Driveway access (related, not in)1 (2.8%)
5
Intersection: Other intersection (explain in narrative)1 (2.8%)
6
Non-intersection: Railroad grade crossing1 (2.8%)

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 32 of the 63 vehicles (50.8%). Light trucks and sport utility vehicles were also frequently involved, with 11 pickups and 9 SUVs recorded. Commercial trucks, including tractor-trailers and bobtails, were involved in 3 incidents, and one motorcycle was involved in a crash.

Vehicle Type

"Other" combines 3 smaller categories (3 records): School bus (seats > 15) (1), Single unit truck (2-axle, 6-tire) (1), Train (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, with this condition noted in 47 instances across all vehicles. Stop signs were the traffic control device in 4 instances. Additionally, railway crossing devices were noted in 2 instances.

Traffic Control Device

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 most significant damage, recorded in 19 instances. Damage to the top of the vehicle, often associated with rollovers, was noted 6 times. Front-corner impacts were also common, with 5 instances of damage to the driver-side front corner and 3 to the passenger-side front corner.

Most Damaged Area

"Other" combines 5 smaller categories (9 records): Rear (3), Passenger side - middle (2), Driver side - rear (2), Driver side - middle (1), Non-collision/no damage (1).

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

Crashes by City

Within Wayne County, the city of Corydon had the highest volume of crashes, with 7 incidents reported in 2015. Allerton and Humeston each recorded 2 crashes. Promise City reported a single crash.

Crashes by City

1
CORYDON7 (58.3%)
2
ALLERTON2 (16.7%)
3
HUMESTON2 (16.7%)
4
PROMISE CITY1 (8.3%)

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

Paved vs Unpaved Road

Crashes were predominantly on paved roads, which accounted for 38 of the 46 total incidents. A notable portion, 8 crashes or 17.4%, occurred 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

Property Damage

The most common estimated property damage cost was in the $1,500 to $7,500 range, which applied to 34 of the 46 crashes. A further 11 crashes resulted in estimated damages between $7,500 and $25,000. One crash was estimated to have caused property damage in excess of $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 crash type was a non-collision single-vehicle event, such as running off the road or an overturn, accounting for 25 of the 46 crashes (54.3%). Among multi-vehicle crashes, the most frequent type was a broadside collision, which occurred in 6 incidents (13%). Other collision types included sideswipes in the same direction (3 crashes) and rear-end collisions (2 crashes).

Manner of Collision

"Other" combines 2 smaller categories (2 records): Rear to side (1), Angle, oncoming left turn (1).

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

Pre-Crash Driver Action

Prior to the crashes, the most common driver action was moving essentially straight, which was the case for 38 of the 63 vehicles involved. Turning maneuvers were the next most frequent pre-crash actions, with 4 vehicles turning left and 4 turning right. Three vehicles were legally parked before being involved in a collision.

Pre-Crash Driver Action

1
Movement essentially straight38 (66.7%)
2
Turning left4 (7%)
3
Turning right4 (7%)
4
Other (explain in narrative)3 (5.3%)
5
Legally Parked3 (5.3%)
6
Negotiating a curve2 (3.5%)
7
Backing2 (3.5%)
8
Making U-turn1 (1.8%)

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

Person Type

Of the 89 individuals involved in crashes, the vast majority, 80 people (89.9%), were drivers. The remaining 9 individuals (10.1%) were passengers in the vehicles. No other person types, such as pedestrians or cyclists, were recorded in the crash data for 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 crashes, one person was fatally injured, and 24 others sustained some level of injury. Of the injured persons, 2 sustained serious injuries, 12 had minor injuries, and 10 had possible injuries. This accounts for all 25 casualties reported in the 46 crashes.

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 recorded instances of safety equipment usage, 16 individuals used a shoulder and lap belt. Two individuals were recorded as not using any safety equipment.

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

A significant majority of incidents were single-vehicle crashes, accounting for 29 of the 46 total crashes (63%). The remaining 17 crashes (37%) involved two vehicles. No crashes involving three or more vehicles were reported during this period.

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: 46
  • Total persons involved: 89
  • Total vehicles involved: 63

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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