Yearly Traffic Safety Analysis

436 CRASHES IN
IOWA, IA
2015

In 2015, Boone County recorded 436 vehicle crashes, resulting in 4 fatalities and 163 injuries. A significant portion of these incidents, 21.1%, were attributed to collisions involving animals, which was the single most common contributing factor cited in crash reports.

436

Total Crash Events

4

Persons Killed

163

Persons Injured

4

Fatal Crash Events

Note: "Persons Killed" (4) 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 accounted for the vast majority of casualties, with 3 individuals killed and 160 injured in crashes. Among vulnerable road users, one pedestrian was killed and two were injured. Additionally, one cyclist sustained injuries during the reporting period.

1

Pedestrians Killed

0

Cyclists Killed

3

Motorists Killed

2

Pedestrians Injured

1

Cyclists Injured

160

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 Boone County occurred most frequently on Thursdays, with 74 incidents reported. The afternoon commute period, specifically the 3 p.m. hour, was the peak time for crashes with 42 events. The majority of collisions, 252 out of 436, took place 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

Of the 436 total crashes, 71.3% (311 incidents) resulted in no injuries and were classified as property-damage-only. The remaining 28.7% of crashes involved some level of injury, including 14 with serious injuries and 61 with possible injuries. There were 4 fatal crashes recorded, which resulted in a total of 4 fatalities.

Outcome by Severity (Crash Events)

Fatal4fatal crashes0.9%
Serious Injury14serious injury crashes3.2%
Minor Injury46minor injury crashes10.6%
Possible Injury61possible injury crashes14%
No Injury311no injury crashes71.3%

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 for crashes was the presence of an animal on the roadway, accounting for 92 incidents or 21.1% of all crashes. Failure to yield the right-of-way from a stop sign was the second leading factor, cited in 47 crashes (10.8%). Losing control of the vehicle was the third most common factor, contributing to 31 crashes (7.1%).

Officer-Reported Primary Contributing Cause

Animal92 (21.1%)
FTYROW: From stop sign47 (10.8%)
Lost Control31 (7.1%)
Followed too close25 (5.7%)
Ran off road - straight24 (5.5%)
Other (explain in narrative): Other20 (4.6%)
FTYROW: At uncontrolled intersection18 (4.1%)
Ran Stop Sign14 (3.2%)
Driving too fast for conditions14 (3.2%)
FTYROW: Making left turn11 (2.5%)

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 252 incidents (57.8%) happening on dry road surfaces and an identical number occurring during daylight hours. Clear weather was reported in 209 crashes (47.9%). Adverse conditions were less frequent, with rain noted in 25 incidents and snow in 11.

Weather

Clear209 (60.1%)
Cloudy93 (26.7%)
Rain25 (7.2%)
Snow11 (3.2%)
Freezing rain/drizzle5 (1.4%)
Blowing Snow3 (0.9%)
Severe Winds1 (0.3%)
Fog, smoke, smog1 (0.3%)

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

Lighting

Daylight252 (72.2%)
Dark - roadway not lighted52 (14.9%)
Dark - roadway lighted21 (6.0%)
Dawn14 (4.0%)
Dusk9 (2.6%)
Dark - unknown roadway lighting1 (0.3%)

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

Road Surface

Dry252 (71.8%)
Wet45 (12.8%)
Snow25 (7.1%)
Ice/frost14 (4.0%)
Gravel12 (3.4%)
Slush3 (0.9%)

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

Vehicles & Demographics

Analysis of the 861 persons involved in crashes shows the 16-20 age group was the most represented, with 144 individuals, followed by the 26-34 age group with 128 individuals. Among the 690 vehicles involved, Chevrolet (152 vehicles) and Ford (130 vehicles) were the most frequently recorded makes. Dodge vehicles were involved in 64 crashes.

Top Vehicle Makes (690 vehicles)

1
FORD130 (18.8%)
2
CHEV88 (12.8%)
3
CHEVROLET64 (9.3%)
4
DODG35 (5.1%)
5
DODGE29 (4.2%)
6
PONT22 (3.2%)
7
GMC21 (3%)
8
TOYT21 (3%)
9
JEEP19 (2.8%)
10
BUICK17 (2.5%)

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

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

Sex Distribution (629 persons with recorded sex)

Male353 (56.1%)
Female276 (43.9%)

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

Major Cause

The leading major cause attributed to crashes in Boone County was interaction with an animal, cited in 92 incidents. Failure to yield the right-of-way from a stop sign was the second most common cause, contributing to 47 crashes. This was followed by drivers losing control of their vehicle, which was a factor in 31 crashes.

Major Cause

1
Animal92 (22.2%)
2
FTYROW: From stop sign47 (11.3%)
3
Lost Control31 (7.5%)
4
Followed too close25 (6%)
5
Ran off road - straight24 (5.8%)
6
Other (explain in narrative): Other20 (4.8%)
7
FTYROW: At uncontrolled intersection18 (4.3%)
8
Ran Stop Sign14 (3.4%)
9
Driving too fast for conditions14 (3.4%)

Showing top 9 of 44 reported. 35 additional (130 total) not shown: FTYROW: Making left turn, Driver Distraction: Other interior distraction, Improper Backing, Driver Distraction: Inattentive/lost in thought, FTYROW: Other (explain in narrative), Driver Distraction: Exterior distraction, FTYROW: From driveway, Operating vehicle in an reckless, erratic, careless, negligent manner, Ran off road - left, Ran off road - right, FTYROW: From yield sign, Swerving/Evasive Action, Made improper turn, Disregarded RR Signal, Exceeded authorized speed, Other (explain in narrative): Vision obstructed, Other (explain in narrative): No improper action, Passing: Other passing (explain in narrative), FTYROW: From parked position, Driver Distraction: Reaching for object(s)/fallen object(s), Driver Distraction: Other electronic device activity, Cargo/equipment loss or shift, Driving less than the posted speed limit, Drove around RR grade crossing gates, Driver Distraction: Passenger, FTYROW: To pedestrian, Operator inexperience, Driver Distraction: Adjusting devices (radio, climate), Over correcting/over steering, Passing: On wrong side, Passing: With insufficient distance/inadequate visibility, Crossed centerline (undivided), Ran Traffic Signal, Towing Improperly, 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 first harmful event was a collision with another vehicle in traffic, which occurred in 214 crashes. The second most frequent event was a collision with an animal, recorded in 90 incidents. Run-off-road events were also notable, including 26 rollovers and 21 crashes where the first harmful event was entering a ditch.

First Harmful Event

1
Collision with: Vehicle in traffic214 (49.5%)
2
Collision with: Animal90 (20.8%)
3
Non-collision events: Overturn/rollover26 (6%)
4
Collision with fixed object: Ditch21 (4.9%)
5
Collision with: Parked motor vehicle20 (4.6%)
6
Collision with fixed object: Tree7 (1.6%)
7
Collision with fixed object: Other fixed object (explain in narrative)6 (1.4%)
8
Collision with fixed object: Utility pole/light support6 (1.4%)
9
Collision with: Struck/struck by object/cargo/person from other vehicle4 (0.9%)

Showing top 9 of 26 reported. 17 additional (38 total) not shown: Collision with fixed object: Embankment, Collision with: Non-motorist (see non-motorist section - NOT a unit), Collision with fixed object: Traffic sign support, Non-collision events: Non-contact vehicle (phantom), Other (explain in narrative), Collision with fixed object: Guardrail - face, Collision with: Other non-fixed object (explain in narrative), Miscellaneous events: Hit and run, Collision with fixed object: Mailbox, Collision with fixed object: Curb/island/raised median, Collision with: Railway vehicle/train, Collision with fixed object: Culvert/pipe opening, Collision with fixed object: Other traffic barrier (explain in narrative), Collision with fixed object: Other post/pole/support (explain in narrative), Collision with fixed object: Bridge/bridge rail parapet, Collision with fixed object: Landscape/shrubbery, Collision with fixed object: Fence.

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

Roadway Junction / Feature

Crashes occurred at both intersection and non-intersection locations. Approximately 38.3% of crashes (167 incidents) occurred at non-junction segments of the roadway. Four-way intersections were the most common crash site among junction types, accounting for 111 incidents.

Roadway Junction / Feature

1
Non-intersection: Non-junction/no special feature167 (47.3%)
2
Intersection: Four-way intersection111 (31.4%)
3
Intersection: T-intersection22 (6.2%)
4
Non-intersection: Driveway access (related, not in)17 (4.8%)
5
Non-intersection: Crossover-related6 (1.7%)
6
Intersection: Other intersection (explain in narrative)6 (1.7%)
7
Non-intersection: Railroad grade crossing5 (1.4%)
8
Non-intersection: Driveway access (within)4 (1.1%)
9
Interchange-related: Off-ramp3 (0.8%)

Showing top 9 of 15 reported. 6 additional (12 total) not shown: Intersection: Y-intersection, Non-intersection: Other non-intersection (explain in narrative), Non-intersection: Alley, Intersection: Intersection with ramp, Interchange-related: On-ramp merge area, Interchange-related: On-ramp.

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 338 of the vehicles recorded. Light trucks and pickups were the second most frequent type with 134 vehicles, followed by sport utility vehicles with 124. Tractor/semi-trailers were involved in 11 crashes, and motorcycles were involved in 5.

Vehicle Type

"Other" combines 10 smaller categories (19 records): Motorcycle (5), Farm tractor (3), Moped (2), Passenger van (seats 9-15) (2), Train (2), School bus (seats > 15) (1), Single-unit truck (>= 3 axles) (1), Farm equipment (explain in narrative) (1), Truck/trailer (1), Other (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 at locations with no traffic controls present, accounting for 423 instances. Stop signs were the most common form of traffic control device noted, present for 120 vehicles involved in crashes. Traffic signals were present for 34 vehicles.

Traffic Control Device

"Other" combines 2 smaller categories (4 records): Other (explain in narrative) (3), No Passing Zone (marked) (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 area of vehicle damage, recorded in 186 cases. Rear impacts, often indicative of rear-end collisions, were the second most frequent damage location with 63 instances. Damage to the driver's side was noted in 41 cases and the passenger's side in 30 cases, suggesting a significant number of angle collisions.

Most Damaged Area

"Other" combines 9 smaller categories (154 records): Passenger side - front (27), Top (23), Passenger side - rear (23), Driver side - rear (21), Rear - driver side corner (21), Rear - passenger side corner (14), Other (explain in narrative) (13), Undercarriage (8), Non-collision/no damage (4).

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

Impairment (Alcohol / Drugs)

Driver impairment was noted as a factor in 18 instances recorded in the data. Of these, alcohol was the sole factor in 14 cases, while drugs were a factor in 2 cases, and a combination of alcohol and drugs was noted in another 2 cases. These incidents represent a subset of total crashes where impairment could be determined by the reporting officer.

Crashes by City

The majority of crashes within the county occurred in the city of Boone, which recorded 202 incidents. Following Boone, the city of Ogden had 18 crashes and Madrid had 11 crashes. Several other smaller municipalities each recorded five or fewer crashes.

Crashes by City

1
BOONE202 (83.8%)
2
OGDEN18 (7.5%)
3
MADRID11 (4.6%)
4
WOODWARD5 (2.1%)
5
BEAVER2 (0.8%)
6
LUTHER1 (0.4%)
7
FRASER1 (0.4%)
8
BERKLEY1 (0.4%)

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, 397 incidents, occurred on paved roadways. A smaller but notable portion, 36 crashes or approximately 8.3% of the total with known surface type, 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

In a minority of crashes, specific roadway factors were cited as contributors. The most common factor was the road surface condition, such as being wet or icy, which was noted in 40 crashes. A slippery, loose, or worn surface was cited in 4 additional incidents.

Roadway Contributing Factor

1
Surface condition (e.g.wet, icy)40 (83.3%)
2
Slippery, loose or worn surface4 (8.3%)
3
Ruts/holes/bumps2 (4.2%)
4
Debris1 (2.1%)
5
Obstruction in roadway1 (2.1%)

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

Driver Condition

While most drivers were recorded as 'apparently normal,' a number of other conditions were noted by officers. Fifteen drivers were identified as being under the influence of alcohol. Driver fatigue or being asleep was cited for 10 drivers, and a medical condition was noted for 3 drivers.

Driver Condition

1
Under the influence of alcohol15 (45.5%)
2
Asleep/fatigued10 (30.3%)
3
Medical condition (seizure, reaction)3 (9.1%)
4
Emotional (e.g. depressed, angry)2 (6.1%)
5
Hearing impaired/deaf1 (3%)
6
Physical impairment1 (3%)
7
Under the influence of drugs/meds1 (3%)

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

Property Damage

Officer-estimated property damage provides context on crash severity, with the most common damage estimate falling in the $1,500 to $7,500 range for 303 crashes. A total of 118 crashes resulted in damages between $7,500 and $25,000, while 5 crashes incurred 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, non-collision events such as running off the road or overturning were the most common type of crash, accounting for 159 incidents or 36.5% of the total. Among multi-vehicle crashes, broadside (angle) collisions were most frequent with 93 incidents (21.3%), followed by rear-end collisions with 67 incidents (15.4%).

Manner of Collision

"Other" combines 2 smaller categories (12 records): Sideswipe, opposite direction (6), Head-on (front to front) (6).

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 was moving essentially straight, which was the case for 411 vehicles involved in collisions. Turning left was the second most frequent action, recorded for 59 vehicles. A notable number of incidents, 31, involved a vehicle that was legally parked.

Pre-Crash Driver Action

1
Movement essentially straight411 (64.9%)
2
Turning left59 (9.3%)
3
Legally Parked31 (4.9%)
4
Stopped in traffic27 (4.3%)
5
Slowing/stopping (deceleration)26 (4.1%)
6
Backing26 (4.1%)
7
Turning right18 (2.8%)
8
Negotiating a curve13 (2.1%)
9
Other (explain in narrative)7 (1.1%)

Showing top 9 of 18 reported. 9 additional (15 total) not shown: Accelerating in road, Entering traffic lane (merging), Leaving a parked position, Changing lanes, Overtaking/passing, Starting in road, Leaving traffic lane, Making U-turn, Entering a parked position.

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

Person Type

Of the 861 people involved in crashes, the vast majority, 830 individuals, were drivers. Passengers accounted for 27 of the people involved. A small number of non-motorists were also involved, including 3 pedestrians and 1 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 861 individuals involved in crashes, a total of 167 sustained some level of injury or were killed. This includes 4 fatalities, 18 serious injuries, 66 minor injuries, and 79 possible injuries. The data shows that 4 individuals were recorded with no injuries from these specific incidents.

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 subset of crash participants for whom safety equipment use was recorded, 114 were noted as using a shoulder and lap belt. Thirteen individuals were recorded as using no safety equipment. Additionally, 3 participants were noted as wearing 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

Two-vehicle collisions were the most common scenario, accounting for 240 crashes. Single-vehicle crashes were also frequent, with 188 incidents recorded, representing 43.1% of all crashes. Multi-vehicle incidents involving three or more vehicles were rare, with only 7 such crashes reported.

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: 436
  • Total persons involved: 861
  • Total vehicles involved: 690

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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