Yearly Traffic Safety Analysis

141 CRASHES IN
IOWA, IA
2015

In 2015, O'Brien County recorded 141 vehicle crashes, which resulted in 4 fatalities and 59 injuries. A significant portion of these incidents, 34% (48 crashes), were single-vehicle, non-collision events. The most frequently cited contributing factor was a vehicle running off the road, which was noted in 18 separate crashes.

141

Total Crash Events

4

Persons Killed

59

Persons Injured

3

Fatal Crash Events

Note: "Persons Killed" (4) 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

Motor vehicle occupants accounted for all 4 fatalities and the vast majority of injuries, with 58 motorists injured in 2015. One pedestrian was injured in a crash during this period, and there were no pedestrian fatalities. No cyclists were reported as either killed or injured in any crashes within the county for the year.

0

Pedestrians Killed

4

Motorists Killed

1

Pedestrians Injured

58

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

Crash occurrences in O'Brien County peaked on Fridays, with 30 incidents, and during the 4 p.m. hour, which saw 15 crashes. Thursdays also saw a high volume with 27 crashes, while the morning commute hours of 6 a.m. and 7 a.m. were also significant with 10 and 11 crashes respectively. The majority of crashes, 97 out of 141, 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

Approximately two-thirds of all crashes (66.7%) resulted in no injuries, involving only property damage. The remaining 47 crashes involved injuries of varying severity, including 7 serious injury crashes, 15 minor injury crashes, and 22 with possible injuries. There were 3 fatal crashes recorded, which resulted in a total of 4 fatalities.

Severity is per crash event (most severe injury). 3 fatal crash events resulted in 4 persons killed.

Outcome by Severity (Crash Events)

Fatal3fatal crashes2.1%
Serious Injury7serious injury crashes5%
Minor Injury15minor injury crashes10.6%
Possible Injury22possible injury crashes15.6%
No Injury94no injury crashes66.7%

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 identified in crashes was a vehicle running off the road to the left, accounting for 18 incidents (12.8%). Other significant factors included failure to yield the right-of-way from a stop sign (13 crashes), driving too fast for conditions (12 crashes), and following too closely (10 crashes). Driver distraction was cited in several forms, including 'other interior distraction' (7 crashes) and 'inattentive/lost in thought' (3 crashes).

Officer-Reported Primary Contributing Cause

Ran off road - left18 (12.8%)
FTYROW: From stop sign13 (9.2%)
Driving too fast for conditions12 (8.5%)
Followed too close10 (7.1%)
FTYROW: From driveway8 (5.7%)
FTYROW: Making left turn7 (5%)
Driver Distraction: Other interior distraction7 (5%)
Animal6 (4.3%)
Lost Control6 (4.3%)
Ran Stop Sign6 (4.3%)

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 ideal driving conditions, with 97 incidents (68.8%) happening in daylight, 75 (53.2%) in clear weather, and 96 (68.1%) on dry road surfaces. However, adverse conditions were a factor in a notable number of crashes, with 18 incidents occurring on icy or frosty roads and 7 on snow-covered surfaces. Cloudy weather was present during 39 crashes.

Weather

Clear75 (55.6%)
Cloudy39 (28.9%)
Freezing rain/drizzle8 (5.9%)
Snow7 (5.2%)
Blowing Snow2 (1.5%)
Fog, smoke, smog2 (1.5%)
Severe Winds1 (0.7%)
Rain1 (0.7%)

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

Lighting

Daylight97 (71.9%)
Dark - roadway not lighted14 (10.4%)
Dark - roadway lighted11 (8.1%)
Dawn7 (5.2%)
Dusk6 (4.4%)

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

Road Surface

Dry96 (70.6%)
Ice/frost18 (13.2%)
Gravel7 (5.1%)
Snow7 (5.1%)
Wet4 (2.9%)
Mud, dirt3 (2.2%)
Slush1 (0.7%)

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

Vehicles & Demographics

Among all persons involved in crashes, the 26-34 age group was the most represented with 47 individuals, followed closely by the 16-20 age group (45 individuals) and the 65+ age group (44). The most frequently involved vehicle makes were Chevrolet (66 vehicles) and Ford (43 vehicles). Other common makes included Dodge (16 vehicles), GMC (13 vehicles), and Buick (13 vehicles).

Top Vehicle Makes (235 vehicles)

1
FORD43 (18.3%)
2
CHEV38 (16.2%)
3
CHEVROLET28 (11.9%)
4
GMC13 (5.5%)
5
BUIC10 (4.3%)
6
DODGE8 (3.4%)
7
DODG8 (3.4%)
8
PONTIAC6 (2.6%)
9
PONT6 (2.6%)
10
CHRY6 (2.6%)

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

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

Sex Distribution (203 persons with recorded sex)

Male112 (55.2%)
Female91 (44.8%)

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 'Ran off road - left,' which was attributed to 18 incidents, or 12.8% of the total. Failure to yield the right-of-way from a stop sign was the second most common cause, cited in 13 crashes (9.2%). This was followed by 'Driving too fast for conditions' with 12 crashes (8.5%) and 'Followed too close' with 10 crashes (7.1%).

Major Cause

1
Ran off road - left18 (13.1%)
2
FTYROW: From stop sign13 (9.5%)
3
Driving too fast for conditions12 (8.8%)
4
Followed too close10 (7.3%)
5
FTYROW: From driveway8 (5.8%)
6
FTYROW: Making left turn7 (5.1%)
7
Driver Distraction: Other interior distraction7 (5.1%)
8
Animal6 (4.4%)
9
Lost Control6 (4.4%)

Showing top 9 of 31 reported. 22 additional (50 total) not shown: Ran Stop Sign, FTYROW: From yield sign, Other (explain in narrative): Other, Driver Distraction: Inattentive/lost in thought, Improper Backing, Ran off road - straight, Made improper turn, Operating vehicle in an reckless, erratic, careless, negligent manner, Other (explain in narrative): No improper action, Failed to keep in proper lane, FTYROW: At uncontrolled intersection, FTYROW: From parked position, Driver Distraction: Exterior distraction, Driver Distraction: Adjusting devices (radio, climate), Improper or erratic lane changing, Ran off road - right, Driver Distraction: Manual operation of an electronic communication device, Passing: Other passing (explain in narrative), Swerving/Evasive Action, Ran Traffic Signal, Driver Distraction: Passenger, Cargo/equipment loss or shift.

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 another vehicle in traffic, which occurred in 73 crashes. Single-vehicle incidents were also prevalent, with 14 crashes involving an overturn or rollover and 13 involving a collision with a ditch. Collisions with parked motor vehicles accounted for another 13 crashes, and collisions with animals were the first harmful event in 6 incidents.

First Harmful Event

1
Collision with: Vehicle in traffic73 (52.5%)
2
Non-collision events: Overturn/rollover14 (10.1%)
3
Collision with fixed object: Ditch13 (9.4%)
4
Collision with: Parked motor vehicle13 (9.4%)
5
Collision with: Animal6 (4.3%)
6
Collision with: Re-entering roadway5 (3.6%)
7
Non-collision events: Other non-collision (explain in narrative)2 (1.4%)
8
Collision with fixed object: Other fixed object (explain in narrative)2 (1.4%)
9
Collision with fixed object: Traffic sign support1 (0.7%)

Showing top 9 of 19 reported. 10 additional (10 total) not shown: Collision with fixed object: Tree, Collision with fixed object: Utility pole/light support, Collision with: Non-motorist (see non-motorist section - NOT a unit), Collision with fixed object: Curb/island/raised median, Collision with fixed object: Culvert/pipe opening, Non-collision events: Jackknife, Collision with fixed object: Fence, Collision with fixed object: Building, Collision with fixed object: Guardrail - face, Collision with fixed object: Mailbox.

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-intersection road segments than at junctions, with 60 incidents happening at non-junction locations. Four-way intersections were the most common type of junction for crashes, accounting for 42 incidents. Driveway-related incidents contributed to the non-intersection total, with 16 crashes occurring within or related to driveway access points.

Roadway Junction / Feature

1
Non-intersection: Non-junction/no special feature60 (44.1%)
2
Intersection: Four-way intersection42 (30.9%)
3
Non-intersection: Driveway access (related, not in)10 (7.4%)
4
Intersection: T-intersection9 (6.6%)
5
Non-intersection: Driveway access (within)6 (4.4%)
6
Non-intersection: Other non-intersection (explain in narrative)3 (2.2%)
7
Intersection: Other intersection (explain in narrative)2 (1.5%)
8
Non-intersection: Alley2 (1.5%)
9
Non-intersection: Railroad grade crossing1 (0.7%)

Showing top 9 of 10 reported. 1 additional (1 total) not shown: Non-intersection: Crossover-related.

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 92 vehicles recorded. Sport utility vehicles (49 vehicles) and four-tire light trucks or pickups (47 vehicles) were also frequently involved. The data also includes 10 tractor/semi-trailers and 2 motorcycles among the 235 vehicles involved in crashes.

Vehicle Type

"Other" combines 5 smaller categories (7 records): Single unit truck (2-axle, 6-tire) (2), Single-unit truck (>= 3 axles) (2), Passenger van (seats 9-15) (1), Motor home/recreational vehicle (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 majority of vehicles involved in crashes were on road segments with no traffic controls present, accounting for 159 vehicles. Where traffic controls were present, stop signs were the most common, associated with 40 vehicles involved in crashes. Traffic signals were a factor for 10 vehicles, and yield signs were present for 7 vehicles.

Traffic Control Device

"Other" combines 2 smaller categories (2 records): Other (explain in narrative) (1), Work zone sign (1).

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 40 vehicles sustaining damage to the front and another 42 sustaining damage to a front corner. Rear damage was recorded for 17 vehicles, while damage to the driver's side middle was noted for 18 vehicles, suggesting angle or sideswipe crashes. Overall, damage to the front or front corners of the vehicle was the most frequent outcome, representing a combined 82 instances.

Most Damaged Area

"Other" combines 9 smaller categories (65 records): Passenger side - front (12), Passenger side - rear (12), Driver side - front (10), Top (10), Passenger side - middle (9), Rear - passenger side corner (8), Other (explain in narrative) (2), Undercarriage (1), Cargo loss (1).

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

Crashes by City

The majority of crashes within municipal limits occurred in Sheldon, which recorded 60 incidents. Primghar accounted for the next highest number with 11 crashes, followed by Hartley, Paullina, and Sanborn, each with 4 crashes. These figures represent crashes occurring within city boundaries; many rural crashes occur outside any incorporated city.

Crashes by City

1
SHELDON60 (72.3%)
2
PRIMGHAR11 (13.3%)
3
HARTLEY4 (4.8%)
4
PAULLINA4 (4.8%)
5
SANBORN4 (4.8%)

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, 129 out of 141, occurred on paved roadways. Crashes on unpaved surfaces like gravel or dirt accounted for 12 incidents, representing 8.5% of the total for the year. This reflects the driving environment in a county with both paved primary roads and an extensive network of unpaved secondary 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 pavement were the most cited, contributing to 25 crashes. Other noted roadway factors were less frequent, including ruts or holes (2 crashes) and slippery or loose surfaces (2 crashes). One crash was attributed to a work zone-related roadway factor.

Roadway Contributing Factor

1
Surface condition (e.g.wet, icy)25 (83.3%)
2
Ruts/holes/bumps2 (6.7%)
3
Slippery, loose or worn surface2 (6.7%)
4
Work Zone (roadway-related)1 (3.3%)

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

Driver Condition

When a driver condition other than 'apparently normal' was recorded, being asleep or fatigued was the most common, noted for 6 drivers. Medical conditions and being under the influence of alcohol were each cited for 4 drivers. These figures represent a small subset of the total drivers involved, as most are coded as 'apparently normal' or have an unknown condition.

Driver Condition

1
Asleep/fatigued6 (33.3%)
2
Medical condition (seizure, reaction)4 (22.2%)
3
Under the influence of alcohol4 (22.2%)
4
Emotional (e.g. depressed, angry)2 (11.1%)
5
Visually impaired1 (5.6%)
6
Walks with a cane/crutches1 (5.6%)

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 per crash was in the $1,500 to $7,500 range, which applied to 96 incidents. A further 32 crashes resulted in damages estimated between $7,500 and $25,000. Six crashes were 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

Single-vehicle, non-collision events were the most frequent manner of collision, accounting for 48 crashes, or 34% of the total. Rear-end and broadside collisions were the next most common types, each accounting for 23 crashes (16.3%). Sideswipes involving vehicles traveling in the same direction occurred in 13 crashes.

Manner of Collision

"Other" combines 2 smaller categories (5 records): Sideswipe, opposite direction (4), 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 vast majority of drivers involved in crashes, 126 out of 235, were moving essentially straight prior to the collision. Turning left was the pre-crash action for 29 drivers, while 17 drivers were backing up. A notable number of incidents, 18, involved a vehicle that was legally parked.

Pre-Crash Driver Action

1
Movement essentially straight126 (55.5%)
2
Turning left29 (12.8%)
3
Legally Parked18 (7.9%)
4
Backing17 (7.5%)
5
Other (explain in narrative)9 (4%)
6
Slowing/stopping (deceleration)7 (3.1%)
7
Stopped in traffic4 (1.8%)
8
Turning right3 (1.3%)
9
Changing lanes3 (1.3%)

Showing top 9 of 18 reported. 9 additional (11 total) not shown: Accelerating in road, Overtaking/passing, Entering a parked position, Making U-turn, Starting in road, Leaving traffic lane, Leaving a parked position, Entering traffic lane (merging), Negotiating a curve.

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

Person Type

Drivers constituted the overwhelming majority of individuals involved in crashes, with 285 out of 298 total persons recorded. The remaining individuals included 12 passengers and 1 pedestrian. This means that approximately 95.6% of all people involved were drivers.

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, a total of 63 people were either injured or killed. This included 4 fatalities and 9 individuals who sustained serious injuries. The remaining injuries consisted of 19 minor injuries and 31 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 occupants for whom safety equipment use was recorded, 46 were noted as using a shoulder and lap belt. Seven occupants were recorded as not using any safety equipment. The data also shows that 2 occupants were in a booster seat and 1 was in a forward-facing child safety seat.

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 most common type of crash involved two vehicles, with 88 such incidents recorded. Single-vehicle crashes were also frequent, accounting for 50 incidents, or 35.5% of the total. A small number of crashes, 3 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: 141
  • Total persons involved: 298
  • Total vehicles involved: 235

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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