Yearly Traffic Safety Analysis

68 CRASHES IN
IOWA, IA
2015

In 2015, Audubon County recorded 68 traffic crashes, resulting in one fatality and 36 injuries. Single-vehicle, non-collision events were the predominant crash type, accounting for 33 of the 68 total incidents. The leading contributing factors cited were loss of control and collisions with animals.

68

Total Crash Events

1

Persons Killed

36

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 fatalities and injuries involved motor vehicle occupants. One motorist was killed and 36 motorists were injured in crashes. There were no reported fatalities or injuries involving pedestrians or cyclists during this period.

1

Motorists Killed

36

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 Audubon County peaked on Fridays, which saw 18 incidents, significantly more than any other day of the week. The most frequent time for crashes was the 5 p.m. hour, which recorded 6 incidents. Overall, 39 crashes (57.4%) occurred during daylight hours, while 17 crashes (25%) happened on unlighted dark 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

Of the 68 total crashes, 22 incidents (32.4%) resulted in an injury, while 46 crashes (67.6%) involved no injuries. The injury crashes included one with a serious injury, 13 with minor injuries, and 7 with possible injuries. One crash was fatal, leading to one person being killed.

Outcome by Severity (Crash Events)

Fatal1fatal crashes1.5%
Serious Injury1serious injury crashes1.5%
Minor Injury13minor injury crashes19.1%
Possible Injury7possible injury crashes10.3%
No Injury46no injury crashes67.6%

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 factors cited in crashes were "Lost Control" (13 incidents, 19.1%) and collisions involving an "Animal" (12 incidents, 17.6%). "Ran off road - left" was also a significant factor, noted in 10 crashes (14.7%). Failure to yield while making a left turn was cited in 4 crashes.

Officer-Reported Primary Contributing Cause

Lost Control13 (19.1%)
Animal12 (17.6%)
Ran off road - left10 (14.7%)
FTYROW: Making left turn4 (5.9%)
Swerving/Evasive Action3 (4.4%)
FTYROW: Other (explain in narrative)2 (2.9%)
FTYROW: From stop sign2 (2.9%)
Passing: Other passing (explain in narrative)2 (2.9%)
Driver Distraction: Exterior distraction2 (2.9%)
Followed too close2 (2.9%)

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 39 of 68 incidents (57.4%) happening in clear weather and 36 (52.9%) on dry road surfaces. Crashes in adverse weather included 5 in snow and 3 in rain. Icy or frosty roads were a factor in 6 crashes, and snowy surfaces in 7 crashes.

Weather

Clear39 (60.9%)
Cloudy14 (21.9%)
Snow5 (7.8%)
Rain3 (4.7%)
Fog, smoke, smog2 (3.1%)
Blowing Snow1 (1.6%)

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

Lighting

Daylight39 (60.0%)
Dark - roadway not lighted17 (26.2%)
Dark - roadway lighted7 (10.8%)
Dawn2 (3.1%)

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

Road Surface

Dry36 (56.3%)
Snow7 (10.9%)
Gravel7 (10.9%)
Ice/frost6 (9.4%)
Wet5 (7.8%)
Slush2 (3.1%)
Mud, dirt1 (1.6%)

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

Vehicles & Demographics

Among the 143 people involved in crashes, the 45-54 age group was the most represented with 24 individuals, followed by the 21-25 and 65+ age groups, each with 19 individuals. Of the 104 vehicles involved, Chevrolet was the most frequent make with 27 vehicles, followed by Ford with 17 vehicles and Dodge with 8.

Top Vehicle Makes (104 vehicles)

1
CHEVROLET27 (26%)
2
FORD17 (16.3%)
3
DODGE8 (7.7%)
4
BUICK6 (5.8%)
5
JEEP5 (4.8%)
6
GMC4 (3.8%)
7
MERCURY4 (3.8%)
8
CHRYSLER3 (2.9%)
9
SATURN3 (2.9%)
10
PONTIAC3 (2.9%)

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

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

Sex Distribution (95 persons with recorded sex)

Male57 (60.0%)
Female38 (40.0%)

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

Major Cause

The most frequently cited major causes for crashes were "Lost Control," which accounted for 13 incidents, and collisions with an "Animal," which accounted for 12 incidents. Running off the road to the left was the third most common cause, cited in 10 crashes. These three factors represent over half of all crashes with a determined major cause.

Major Cause

1
Lost Control13 (19.4%)
2
Animal12 (17.9%)
3
Ran off road - left10 (14.9%)
4
FTYROW: Making left turn4 (6%)
5
Swerving/Evasive Action3 (4.5%)
6
FTYROW: Other (explain in narrative)2 (3%)
7
FTYROW: From stop sign2 (3%)
8
Passing: Other passing (explain in narrative)2 (3%)
9
Driver Distraction: Exterior distraction2 (3%)

Showing top 9 of 24 reported. 15 additional (17 total) not shown: Followed too close, Ran off road - straight, Ran Stop Sign, Ran Traffic Signal, Aggressive driving/road rage, Driver Distraction: Other interior distraction, Driving too fast for conditions, Exceeded authorized speed, Failed to keep in proper lane, FTYROW: At uncontrolled intersection, FTYROW: From driveway, Operating vehicle in an reckless, erratic, careless, negligent manner, Other (explain in narrative): No improper action, Passing: With insufficient distance/inadequate visibility, Ran off road - right.

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: Vehicle in traffic," occurring in 27 crashes. Collisions with animals were the second most frequent event with 12 incidents. Run-off-road events were also common, with the first harmful event being a collision with a ditch in 8 cases and an overturn or rollover in 3 cases.

First Harmful Event

1
Collision with: Vehicle in traffic27 (46.6%)
2
Collision with: Animal12 (20.7%)
3
Collision with fixed object: Ditch8 (13.8%)
4
Collision with: Parked motor vehicle5 (8.6%)
5
Non-collision events: Overturn/rollover3 (5.2%)
6
Collision with fixed object: Tree1 (1.7%)
7
Collision with fixed object: Utility pole/light support1 (1.7%)
8
Collision with: Other non-fixed object (explain in narrative)1 (1.7%)

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

Roadway Junction / Feature

The majority of crashes, 38 out of 68 (55.9%), occurred at non-junction locations along a roadway. Intersections accounted for a smaller but significant portion, with 13 crashes at four-way intersections and 6 at T-intersections. Another 4 crashes were related to driveway access.

Roadway Junction / Feature

1
Non-intersection: Non-junction/no special feature38 (58.5%)
2
Intersection: Four-way intersection13 (20%)
3
Intersection: T-intersection6 (9.2%)
4
Non-intersection: Driveway access (related, not in)2 (3.1%)
5
Non-intersection: Driveway access (within)2 (3.1%)
6
Intersection: Other intersection (explain in narrative)1 (1.5%)
7
Non-intersection: Alley1 (1.5%)
8
Non-intersection: Other non-intersection (explain in narrative)1 (1.5%)
9
Intersection: Five points or more1 (1.5%)

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 39 of the 104 vehicles. Light trucks and SUVs were also frequently involved, with 25 and 22 vehicles respectively. Larger commercial vehicles were less common, with 6 tractor/semi-trailers and 2 motorcycles involved in incidents.

Vehicle Type

"Other" combines 3 smaller categories (3 records): Maintenance/construction vehicle (1), Farm tractor (1), Single unit truck (2-axle, 6-tire) (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 vehicles involved in crashes were operating where no traffic controls were present, accounting for 77 instances. In locations with controls, stop signs were the most common type, present for 13 vehicles involved in crashes. Traffic signals were present for only one vehicle involved in a crash.

Traffic Control Device

"Other" combines 2 smaller categories (2 records): Warning sign (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 most common points of initial impact on vehicles were the front and the front-driver-side corner, each recorded 16 times. The front-passenger-side corner was the next most frequent impact area with 14 instances. This indicates a prevalence of frontal and angle collisions.

Most Damaged Area

"Other" combines 6 smaller categories (21 records): Top (5), Driver side - rear (4), Rear (4), Rear - driver side corner (3), Rear - passenger side corner (3), Passenger side - rear (2).

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

Crashes by City

Within Audubon County, the city of Audubon had the highest number of reported crashes with 22 incidents. The town of Exira followed with 3 crashes, and Brayton had 2 crashes. A significant portion of crashes occurred in unincorporated areas outside of these municipalities.

Crashes by City

1
AUDUBON22 (81.5%)
2
EXIRA3 (11.1%)
3
BRAYTON2 (7.4%)

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

Paved vs Unpaved Road

Crashes on paved roads were far more common, accounting for 57 of the 68 total incidents. However, a notable 11 crashes, representing 16.2% of the total, 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

Roadway Contributing Factor

Among crashes where a roadway factor was cited, "Surface condition (e.g. wet, icy)" was the leading contributor, noted in 13 incidents. A "Slippery, loose or worn surface" was cited as a factor in 3 crashes, and an "Obstruction in roadway" was noted in 2 cases.

Roadway Contributing Factor

1
Surface condition (e.g.wet, icy)13 (65%)
2
Slippery, loose or worn surface3 (15%)
3
Obstruction in roadway2 (10%)
4
Ruts/holes/bumps1 (5%)
5
Work Zone (roadway-related)1 (5%)

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 range of $1,500 to $7,500, which applied to 43 crashes. More severe damage was less frequent, with 16 crashes estimated between $7,500 and $25,000, and 5 crashes exceeding $25,000 in property damage.

Property Damage

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

Manner of Collision

Single-vehicle, non-collision events were the most frequent crash type, accounting for 33 of 68 incidents (48.5%). Among multi-vehicle crashes, rear-end collisions were the most common with 8 incidents (11.8%), followed by angle collisions during oncoming left turns with 7 incidents (10.3%).

Manner of Collision

"Other" combines 1 smaller categories (2 records): Head-on (front to front) (2).

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

Pre-Crash Driver Action

For the 104 vehicles with a recorded pre-crash action, the overwhelming majority (68 vehicles) were moving straight ahead. Turning left was the next most common action, recorded for 8 vehicles, while 5 vehicles were legally parked and 5 were in the process of overtaking or passing.

Pre-Crash Driver Action

1
Movement essentially straight68 (68.7%)
2
Turning left8 (8.1%)
3
Overtaking/passing5 (5.1%)
4
Legally Parked5 (5.1%)
5
Slowing/stopping (deceleration)3 (3%)
6
Stopped in traffic3 (3%)
7
Backing2 (2%)
8
Other (explain in narrative)2 (2%)
9
Changing lanes1 (1%)

Showing top 9 of 11 reported. 2 additional (2 total) not shown: Turning right, Accelerating in road.

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

Person Type

Of the 143 people involved in crashes, 132 were drivers and 11 were passengers. No pedestrians, cyclists, or other types of road users were recorded as being involved in these incidents.

Person Type

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

Person Injury Severity

Across all 143 individuals involved in crashes, there was 1 fatality and 36 injuries. The injuries included 2 classified as serious, 21 as minor, and 13 as possible.

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 33 vehicle occupants for whom safety equipment use was recorded, 28 were using a shoulder and lap belt. Four individuals were recorded as using no safety restraints 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 68 crashes were almost evenly divided between single-vehicle incidents (34 crashes) and two-vehicle incidents (32 crashes). A small number of crashes, 2 in total, 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: 68
  • Total persons involved: 143
  • Total vehicles involved: 104

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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