Yearly Traffic Safety Analysis

171 CRASHES IN
IOWA, IA
2015

In 2015, Cherokee County recorded 171 traffic crashes, resulting in 2 fatalities and 78 injuries. The most significant contributing factor to these incidents was collisions with animals, which accounted for 41 crashes, representing 24% of the total.

171

Total Crash Events

2

Persons Killed

78

Persons Injured

2

Fatal Crash Events

Note: "Persons Killed" (2) counts individual fatalities across all crash events. "Fatal" in the severity table below (2) 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, motorists accounted for all fatalities, with 2 killed and 72 injured in crashes. While no pedestrians or cyclists were killed, 4 pedestrians and 1 cyclist sustained injuries. These figures highlight that vehicle occupants bore the most severe outcomes from traffic collisions in the county.

0

Pedestrians Killed

0

Cyclists Killed

2

Motorists Killed

0

Other Killed

4

Pedestrians Injured

1

Cyclists Injured

72

Motorists Injured

1

Other 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 Cherokee County during 2015 occurred most frequently on Fridays, with 31 incidents recorded, closely followed by Mondays with 29. The single busiest hour for crashes was the 5 p.m. commute hour, which saw 20 collisions. A majority of crashes, 87 out of 171, happened during daylight hours, compared to 35 that occurred in dark conditions.

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

Out of 171 total crashes, 118 (69%) resulted in no injuries, while the remaining 31% involved at least a possible injury. There were 2 fatal crashes, which accounted for 1.2% of all incidents. These 2 crashes resulted in a total of 2 fatalities.

Outcome by Severity (Crash Events)

Fatal2fatal crashes1.2%
Serious Injury7serious injury crashes4.1%
Minor Injury24minor injury crashes14%
Possible Injury20possible injury crashes11.7%
No Injury118no injury crashes69%

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 Cherokee County crashes was 'Animal,' involved in 41 incidents (24%). Other significant factors included 'Driving too fast for conditions' with 15 crashes (8.8%), 'Followed too close' with 14 crashes (8.2%), and 'Lost Control' with 12 crashes (7%).

Officer-Reported Primary Contributing Cause

Animal41 (24%)
Driving too fast for conditions15 (8.8%)
Followed too close14 (8.2%)
Lost Control12 (7%)
Ran Stop Sign10 (5.8%)
Ran off road - straight8 (4.7%)
FTYROW: At uncontrolled intersection7 (4.1%)
Ran off road - left5 (2.9%)
Other (explain in narrative): No improper action5 (2.9%)
FTYROW: From stop sign4 (2.3%)

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 109 incidents (63.7%) happening in clear weather and 95 (55.6%) on dry road surfaces. Over half of all crashes, 87 in total (50.9%), took place during daylight hours. Adverse conditions were less common, with snow or ice on the road surface noted in a combined 20 crashes.

Weather

Clear109 (79.6%)
Cloudy13 (9.5%)
Snow8 (5.8%)
Rain6 (4.4%)
Fog, smoke, smog1 (0.7%)

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

Lighting

Daylight87 (63.5%)
Dark - roadway not lighted27 (19.7%)
Dark - roadway lighted8 (5.8%)
Dusk8 (5.8%)
Dawn7 (5.1%)

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

Road Surface

Dry95 (68.8%)
Gravel11 (8.0%)
Snow11 (8.0%)
Ice/frost9 (6.5%)
Wet9 (6.5%)
Mud, dirt3 (2.2%)

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 26-34 age group was most represented, with 65 individuals, followed by the 16-20 age group with 54 individuals. Among the 256 vehicles involved, Chevrolet (64 vehicles) and Ford (43 vehicles) were the most frequent makes recorded in crash reports. Dodge (23 vehicles) and GMC (16 vehicles) were also commonly involved.

Top Vehicle Makes (256 vehicles)

1
CHEV49 (19.1%)
2
FORD43 (16.8%)
3
GMC16 (6.3%)
4
CHEVROLET15 (5.9%)
5
DODG12 (4.7%)
6
DODGE11 (4.3%)
7
BUIC10 (3.9%)
8
PONT7 (2.7%)
9
JEEP6 (2.3%)
10
CHRYSLER5 (2%)

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

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

Sex Distribution (234 persons with recorded sex)

Male127 (54.3%)
Female107 (45.7%)

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 as coded by the Iowa DOT was 'Animal,' which was attributed to 41 incidents, or 24% of the total. Following this, 'Driving too fast for conditions' was cited in 15 crashes (8.8%), and 'Followed too close' was the cause for 14 crashes (8.2%). 'Lost Control' was also a significant factor, contributing to 12 crashes.

Major Cause

1
Animal41 (24.8%)
2
Driving too fast for conditions15 (9.1%)
3
Followed too close14 (8.5%)
4
Lost Control12 (7.3%)
5
Ran Stop Sign10 (6.1%)
6
Ran off road - straight8 (4.8%)
7
FTYROW: At uncontrolled intersection7 (4.2%)
8
Ran off road - left5 (3%)
9
Other (explain in narrative): No improper action5 (3%)

Showing top 9 of 35 reported. 26 additional (48 total) not shown: FTYROW: From stop sign, Improper Backing, Passing: Other passing (explain in narrative), Other (explain in narrative): Other, Ran off road - right, FTYROW: Making left turn, Crossed centerline (undivided), Driver Distraction: Other interior distraction, FTYROW: From driveway, Driver Distraction: Inattentive/lost in thought, Operating vehicle in an reckless, erratic, careless, negligent manner, Driver Distraction: Exterior distraction, Traveling wrong way or on wrong side of road, FTYROW: Other (explain in narrative), FTYROW: From yield sign, Other (explain in narrative): Vision obstructed, Passing: On wrong side, Driver Distraction: Unrestrained animal, Failed to keep in proper lane, Exceeded authorized speed, Equipment failure, Driver Distraction: Adjusting devices (radio, climate), Improper or erratic lane changing, Ran Traffic Signal, Made improper turn, Swerving/Evasive Action.

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 67 crashes. Collisions with animals were the second most frequent event, recorded in 41 incidents. Single-vehicle run-off-road events were also common, with 20 crashes involving a collision with a ditch and 13 involving an overturn or rollover.

First Harmful Event

1
Collision with: Vehicle in traffic67 (39.9%)
2
Collision with: Animal41 (24.4%)
3
Collision with fixed object: Ditch20 (11.9%)
4
Non-collision events: Overturn/rollover13 (7.7%)
5
Miscellaneous events: Hit and run5 (3%)
6
Collision with: Non-motorist (see non-motorist section - NOT a unit)4 (2.4%)
7
Collision with: Parked motor vehicle4 (2.4%)
8
Collision with fixed object: Utility pole/light support2 (1.2%)
9
Collision with fixed object: Other fixed object (explain in narrative)2 (1.2%)

Showing top 9 of 19 reported. 10 additional (10 total) not shown: Collision with fixed object: Tree, Collision with fixed object: Traffic sign support, Collision with fixed object: Other traffic barrier (explain in narrative), Collision with fixed object: Fence, Collision with: Re-entering roadway, Collision with fixed object: Embankment, Collision with fixed object: Curb/island/raised median, Non-collision events: Other non-collision (explain in narrative), Collision with fixed object: Cable barrier, Other (explain in narrative).

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

Roadway Junction / Feature

A majority of crashes, 89 out of 171 (52%), occurred at non-junction locations along a roadway. Intersections were the site of 38 crashes, with four-way intersections being the most common type, accounting for 31 of these incidents. An additional 7 crashes were related to driveway access points.

Roadway Junction / Feature

1
Non-intersection: Non-junction/no special feature89 (63.6%)
2
Intersection: Four-way intersection31 (22.1%)
3
Non-intersection: Driveway access (related, not in)7 (5%)
4
Intersection: T-intersection6 (4.3%)
5
Non-intersection: Alley3 (2.1%)
6
Non-intersection: Driveway access (within)1 (0.7%)
7
Non-intersection: Other non-intersection (explain in narrative)1 (0.7%)
8
Non-intersection: Railroad grade crossing1 (0.7%)
9
Intersection: Y-intersection1 (0.7%)

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 107 of the 256 vehicles. Light trucks and pickups were the second most frequent with 58 vehicles, followed closely by sport utility vehicles at 50. Tractor/semi-trailers were involved in 13 incidents, representing 5.1% of all vehicles in crashes.

Vehicle Type

"Other" combines 6 smaller categories (9 records): Passenger van (seats 9-15) (2), Single unit truck (2-axle, 6-tire) (2), Farm tractor (2), 3-wheeled, enclosed (1), Cargo/panel van (1), Maintenance/construction vehicle (1).

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

Traffic Control Device

For vehicles involved in crashes where traffic control was documented, the vast majority (177 instances) were noted as having 'No controls present'. Stop signs were the most common form of traffic control device present, recorded for 26 vehicles involved in crashes. Traffic signals were present for 9 vehicles.

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 impact, with 'Front' listed as the most damaged area in 55 instances and front corners in another 42. Side impacts were also frequent, with 20 vehicles sustaining damage to the driver's side middle area. Rear-end collisions were indicated by 18 vehicles having the rear as the most-damaged area.

Most Damaged Area

"Other" combines 9 smaller categories (56 records): Driver side - front (11), Passenger side - front (10), Rear - passenger side corner (8), Passenger side - rear (7), Passenger side - middle (7), Rear - driver side corner (5), Other (explain in narrative) (4), Non-collision/no damage (3), Undercarriage (1).

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

Crashes by City

Within the county, the city of Cherokee experienced the highest volume of crashes with 61 incidents. Other municipalities saw significantly fewer crashes, with Marcus recording 6, Washta recording 3, and Larrabee recording 2. The remaining crashes occurred in smaller towns or in unincorporated areas of the county.

Crashes by City

1
CHEROKEE61 (82.4%)
2
MARCUS6 (8.1%)
3
WASHTA3 (4.1%)
4
LARRABEE2 (2.7%)
5
AURELIA1 (1.4%)
6
QUIMBY1 (1.4%)

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

Paved vs Unpaved Road

Of the crashes where road surface type was recorded, 21 incidents, or 12.5%, occurred on unpaved roads such as gravel or dirt. The vast majority of crashes, 147 in total, took place on paved surfaces. This highlights the role of the county's secondary road network in traffic incidents.

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 identified as contributors. The most common was 'Surface condition,' such as wet or icy roads, cited in 14 crashes. A 'Slippery, loose or worn surface' was noted in another 8 crashes, while a work zone was a factor in just one incident.

Roadway Contributing Factor

1
Surface condition (e.g.wet, icy)14 (58.3%)
2
Slippery, loose or worn surface8 (33.3%)
3
Obstruction in roadway1 (4.2%)
4
Work Zone (roadway-related)1 (4.2%)

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

Driver Condition

Among drivers for whom a condition other than 'apparently normal' was recorded, being under the influence of alcohol was the most frequent, noted for 10 drivers. Driver fatigue was also a factor, with 5 drivers recorded as being asleep or fatigued at the time of their crash. These numbers represent a subset of all drivers involved in crashes.

Driver Condition

1
Under the influence of alcohol10 (66.7%)
2
Asleep/fatigued5 (33.3%)

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

Property Damage

The estimated property damage was between $1,500 and $7,500 for the majority of incidents, a total of 131 crashes. A smaller number of crashes resulted in higher damage, with 23 incidents estimated between $7,500 and $25,000. Eleven crashes, representing 6.4% of the total, were classified with severe 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' events like running off the road or overturning, were the most common type, accounting for 78 incidents or 45.6% of all crashes. Among multi-vehicle collisions, rear-end crashes were the most frequent, with 23 incidents (13.5%), followed closely by broadside collisions with 22 incidents (12.9%).

Manner of Collision

"Other" combines 3 smaller categories (5 records): Rear to rear (2), Angle, oncoming left turn (2), Head-on (front to front) (1).

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 'Movement essentially straight,' recorded for 151 of the 256 vehicles involved. Turning left was the next most frequent action, documented for 23 vehicles. An additional 11 vehicles were legally parked when they were struck.

Pre-Crash Driver Action

1
Movement essentially straight151 (65.9%)
2
Turning left23 (10%)
3
Legally Parked11 (4.8%)
4
Turning right10 (4.4%)
5
Negotiating a curve8 (3.5%)
6
Backing8 (3.5%)
7
Slowing/stopping (deceleration)7 (3.1%)
8
Other (explain in narrative)3 (1.3%)
9
Overtaking/passing3 (1.3%)

Showing top 9 of 12 reported. 3 additional (5 total) not shown: Changing lanes, Accelerating in road, Stopped in traffic.

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

Person Type

The vast majority of individuals involved in crashes were drivers, accounting for 307 of the 337 people recorded. Passengers made up the next largest group with 24 individuals. A small number of non-motorists were also involved, including 4 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 337 people involved in crashes, 2 individuals sustained fatal injuries and 9 suffered serious injuries. An additional 35 people had minor injuries and 34 had possible injuries. The remaining individuals were either not injured or their injury status was not recorded.

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 documented, 52 were recorded as using a shoulder and lap belt. Conversely, 11 occupants were recorded as using no safety restraints at the time of the crash. Data on safety equipment use was not available for the majority of vehicle occupants.

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

Single-vehicle crashes were the most common scenario, accounting for 90 of the 171 total incidents (52.6%). Crashes involving two vehicles were also frequent, with 78 occurrences. Multi-vehicle pile-ups were rare, with only 2 crashes involving three vehicles and one crash involving four.

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: 171
  • Total persons involved: 337
  • Total vehicles involved: 256

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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