Yearly Traffic Safety Analysis

116 CRASHES IN
IOWA, IA
2015

In 2015, Ida County recorded 116 traffic crashes, resulting in one fatality and 42 injuries. The most common contributing factor cited in these incidents was collisions with animals, which were involved in 30 crashes, representing nearly 26% of the total.

116

Total Crash Events

1

Persons Killed

42

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 crash-related casualties in Ida County involved motor vehicle occupants. A total of one motorist was killed and 42 motorists were injured. According to the data, there were no pedestrians or cyclists killed or injured in traffic crashes during this period.

1

Motorists Killed

42

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 Ida County peaked on Thursdays, which saw 21 incidents in 2015. The most frequent time for crashes was the 11 a.m. hour, with 10 events recorded. A majority of crashes, 65 in total, occurred during daylight hours, while 15 took place on unlit 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

The vast majority of crashes in 2015, 95 out of 116 (81.9%), resulted in no injuries. Of the remaining incidents, one crash was fatal, five involved serious injuries, and 15 resulted in minor or possible injuries. The single fatal crash led to one death; the number of fatalities can differ from the number of fatal crashes in events with multiple victims.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.9%
Serious Injury5serious injury crashes4.3%
Minor Injury6minor injury crashes5.2%
Possible Injury9possible injury crashes7.8%
No Injury95no injury crashes81.9%

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 frequently cited contributing factor in Ida County crashes was 'Animal,' which was noted in 30 incidents (25.9%). Other significant factors included 'Driving too fast for conditions,' accounting for 12 crashes (10.3%), and a combination of 'Lost Control' and 'Ran off road' events, which together were cited in 19 crashes. 'Failure to yield from a stop sign' was a factor in 5 crashes.

Officer-Reported Primary Contributing Cause

Animal30 (25.9%)
Driving too fast for conditions12 (10.3%)
Other (explain in narrative): Other7 (6%)
Lost Control7 (6%)
Ran off road - straight6 (5.2%)
Ran off road - left6 (5.2%)
FTYROW: From stop sign5 (4.3%)
Made improper turn3 (2.6%)
FTYROW: From driveway3 (2.6%)
Improper Backing3 (2.6%)

Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Analysis of environmental conditions shows that 65 crashes occurred during daylight hours and 55 happened in clear weather. Dry road surfaces were reported in 48 crashes. In contrast, adverse conditions were noted in a smaller number of incidents, including 17 crashes on snow-covered roads and 15 on dark, unlighted roadways.

Weather

Clear55 (63.2%)
Snow14 (16.1%)
Cloudy7 (8.0%)
Rain6 (6.9%)
Freezing rain/drizzle4 (4.6%)
Blowing sand, soil, dirt1 (1.1%)

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

Lighting

Daylight65 (73.9%)
Dark - roadway not lighted15 (17.0%)
Dark - roadway lighted4 (4.5%)
Dawn2 (2.3%)
Dusk2 (2.3%)

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

Road Surface

Dry48 (54.5%)
Snow17 (19.3%)
Wet7 (8.0%)
Slush6 (6.8%)
Gravel5 (5.7%)
Mud, dirt2 (2.3%)
Ice/frost2 (2.3%)
Sand1 (1.1%)

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

Vehicles & Demographics

Among the 206 people involved in crashes, the most represented age group was 45-54 years old, with 36 individuals, followed by the 26-34 age group with 31 individuals. An analysis of the 163 vehicles involved shows that Chevrolet (33 vehicles) and Ford (28 vehicles) were the most common makes, followed by Buick and Dodge (12 vehicles each).

Top Vehicle Makes (163 vehicles)

1
FORD28 (17.2%)
2
CHEV20 (12.3%)
3
CHEVROLET13 (8%)
4
BUIC7 (4.3%)
5
NR7 (4.3%)
6
DODGE6 (3.7%)
7
DODG6 (3.7%)
8
BUICK5 (3.1%)
9
FREIGHTLINER5 (3.1%)
10
PONT5 (3.1%)

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

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

Sex Distribution (141 persons with recorded sex)

Male78 (55.3%)
Female63 (44.7%)

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 interaction with an animal, cited in 30 incidents. 'Driving too fast for conditions' was the second-most common cause, contributing to 12 crashes. Other frequently recorded causes included 'Lost Control' (7 crashes) and 'Ran off road' (12 crashes combined for straight and left departures).

Major Cause

1
Animal30 (27.8%)
2
Driving too fast for conditions12 (11.1%)
3
Other (explain in narrative): Other7 (6.5%)
4
Lost Control7 (6.5%)
5
Ran off road - straight6 (5.6%)
6
Ran off road - left6 (5.6%)
7
FTYROW: From stop sign5 (4.6%)
8
Made improper turn3 (2.8%)
9
FTYROW: From driveway3 (2.8%)

Showing top 9 of 29 reported. 20 additional (29 total) not shown: Improper Backing, Passing: Other passing (explain in narrative), FTYROW: At uncontrolled intersection, Driver Distraction: Exterior distraction, Exceeded authorized speed, Driver Distraction: Other interior distraction, Other (explain in narrative): Vision obstructed, Ran Stop Sign, Improper or erratic lane changing, Crossed centerline (undivided), Driver Distraction: Inattentive/lost in thought, Driver Distraction: Other electronic device activity, FTYROW: From parked position, FTYROW: From yield sign, Aggressive driving/road rage, Operating vehicle in an reckless, erratic, careless, negligent manner, Operator inexperience, Over correcting/over steering, Ran off road - right, Separation of units.

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 a vehicle in traffic,' which occurred in 38 crashes. The second most frequent event was a 'Collision with an animal,' recorded in 30 incidents. Events often associated with run-off-road crashes were also significant, including 12 overturns or rollovers and 12 collisions with a ditch.

First Harmful Event

1
Collision with: Vehicle in traffic38 (32.8%)
2
Collision with: Animal30 (25.9%)
3
Collision with fixed object: Ditch12 (10.3%)
4
Non-collision events: Overturn/rollover12 (10.3%)
5
Collision with: Parked motor vehicle8 (6.9%)
6
Collision with fixed object: Building2 (1.7%)
7
Collision with fixed object: Utility pole/light support2 (1.7%)
8
Collision with fixed object: Other post/pole/support (explain in narrative)2 (1.7%)
9
Collision with fixed object: Traffic sign support2 (1.7%)

Showing top 9 of 17 reported. 8 additional (8 total) not shown: Other (explain in narrative), Collision with fixed object: Guardrail - end, Collision with fixed object: Mailbox, Collision with fixed object: Other fixed object (explain in narrative), Collision with fixed object: Other traffic barrier (explain in narrative), Collision with fixed object: Snow bank, Collision with: Non-motorist (see non-motorist section - NOT a unit), Collision with: Work zone maintenance equipment.

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

Roadway Junction / Feature

A majority of crashes, 58 in total, occurred at non-junction locations along a roadway. Crashes at intersections were less frequent, with 10 occurring at T-intersections and 5 at four-way intersections. An additional 7 crashes were related to driveway access points.

Roadway Junction / Feature

1
Non-intersection: Non-junction/no special feature58 (65.2%)
2
Intersection: T-intersection10 (11.2%)
3
Intersection: Other intersection (explain in narrative)7 (7.9%)
4
Non-intersection: Driveway access (related, not in)5 (5.6%)
5
Intersection: Four-way intersection5 (5.6%)
6
Non-intersection: Driveway access (within)2 (2.2%)
7
Non-intersection: Railroad grade crossing1 (1.1%)
8
Non-intersection: Alley1 (1.1%)

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 60 units recorded. Sport utility vehicles (35) and four-tire light trucks or pickups (34) were also frequently involved. The data also shows the involvement of 8 tractor-trailers and 2 motorcycles in crashes during this period.

Vehicle Type

"Other" combines 5 smaller categories (5 records): Passenger van (seats 9-15) (1), Farm tractor (1), Farm equipment (explain in narrative) (1), School bus (seats > 15) (1), Truck/trailer (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, 99 in total, occurred where no traffic controls were present. In locations with traffic control devices, stop signs were the most common, being present at the scene of 23 crashes. Other controls like yield signs and railway crossing devices were present in a small number of incidents.

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 25 vehicles sustaining damage to the front center and a combined 36 to the front corners. Side impacts were also notable, with 11 vehicles damaged on the driver's side middle and 7 on the passenger's side middle. Rear-end damage was recorded for 7 vehicles.

Most Damaged Area

"Other" combines 8 smaller categories (34 records): Rear (7), Rear - passenger side corner (6), Driver side - rear (5), Passenger side - front (4), Other (explain in narrative) (4), Rear - driver side corner (4), Passenger side - rear (3), Undercarriage (1).

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

Crashes by City

Within Ida County, the highest volume of crashes was recorded in Ida Grove, with 32 incidents. The town of Holstein had the second-highest number, with 13 crashes. Battle Creek and Galva each reported 2 crashes.

Crashes by City

1
IDA GROVE32 (64%)
2
HOLSTEIN13 (26%)
3
BATTLE CREEK2 (4%)
4
GALVA2 (4%)
5
ARTHUR1 (2%)

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

Paved vs Unpaved Road

The data indicates that crashes occurred on both paved and unpaved surfaces. A total of 12 crashes, representing 10.3% of all incidents, took place on unpaved roads such as gravel or dirt. The remaining 104 crashes occurred on paved roadways.

Paved vs Unpaved Road

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

Roadway Contributing Factor

In cases where a roadway factor was identified as a contributor, 'Surface condition,' such as wet or icy roads, was the most common, cited in 23 crashes. Less frequent factors included 'Work Zone' conditions and 'Ruts/holes/bumps,' each contributing to 3 crashes. For most crashes, no specific roadway factor was recorded.

Roadway Contributing Factor

1
Surface condition (e.g.wet, icy)23 (71.9%)
2
Ruts/holes/bumps3 (9.4%)
3
Work Zone (roadway-related)3 (9.4%)
4
Slippery, loose or worn surface2 (6.3%)
5
Obstruction in roadway1 (3.1%)

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

Property Damage

The estimated property damage was most commonly in the range of $1,500 to $7,500, a band that included 94 crashes. A smaller number of incidents, 20 in total, resulted in damages estimated between $7,500 and $25,000. One crash was recorded with property damage 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,' were the most frequent type of incident, accounting for 57 crashes or 49.1% of the total. Among multi-vehicle crashes, broadside collisions were the most common, with 15 incidents (12.9%), followed by rear-end collisions, which occurred in 9 crashes (7.8%).

Manner of Collision

"Other" combines 2 smaller categories (4 records): Other (explain in narrative) (2), Angle, oncoming left turn (2).

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

Pre-Crash Driver Action

The most common pre-crash action for vehicles involved was 'Movement essentially straight,' recorded for 82 vehicles. Other notable actions included 'Turning left' (13 vehicles) and 'Legally Parked' (11 vehicles). Backing maneuvers were reported for 9 vehicles.

Pre-Crash Driver Action

1
Movement essentially straight82 (58.2%)
2
Turning left13 (9.2%)
3
Legally Parked11 (7.8%)
4
Backing9 (6.4%)
5
Turning right8 (5.7%)
6
Overtaking/passing5 (3.5%)
7
Stopped in traffic4 (2.8%)
8
Changing lanes3 (2.1%)
9
Other (explain in narrative)2 (1.4%)

Showing top 9 of 12 reported. 3 additional (4 total) not shown: Slowing/stopping (deceleration), Negotiating a curve, Leaving traffic lane.

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

Person Type

Of the 206 individuals involved in crashes, the vast majority, 185 people (89.8%), were drivers. The remaining 21 individuals (10.2%) were passengers. 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 206 people involved in crashes, a total of 43 individuals sustained some level of injury or were killed. This includes one fatality, 6 serious injuries, 19 minor injuries, and 17 possible injuries. The majority of people involved did not sustain a reported injury.

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 participants for whom safety equipment use was recorded, 13 individuals were noted as using no restraints. This compares to 23 participants who were recorded as using a shoulder and lap belt. Additionally, two individuals were reported to have used a DOT-compliant helmet.

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 data shows a prevalence of single-vehicle crashes, which accounted for 69 of the 116 total incidents (59.5%). Crashes involving two vehicles were also common, with 47 such events recorded. No crashes involving three or more vehicles were reported in this dataset.

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: 116
  • Total persons involved: 206
  • Total vehicles involved: 163

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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