Yearly Traffic Safety Analysis

338 CRASHES IN
IOWA, IA
2015

In 2015, Poweshiek County recorded 338 traffic crashes, resulting in 3 fatalities and 89 injuries. A significant majority of these incidents, 52.7%, were single-vehicle, non-collision events. The leading contributing factor cited in crashes was encounters with animals, accounting for 60 incidents or 17.8% of the total.

338

Total Crash Events

3

Persons Killed

89

Persons Injured

3

Fatal Crash Events

Note: "Persons Killed" (3) 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

All 3 fatalities and 89 injuries recorded in Poweshiek County involved motorists. There were no reported fatalities or injuries for pedestrians or cyclists in the 2015 crash data.

3

Motorists Killed

89

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 Poweshiek County peaked on Fridays, with 60 incidents recorded, closely followed by Thursdays with 59. The most frequent time for crashes was the 4 p.m. hour, which saw 27 events. While 171 crashes (50.6%) occurred during daylight hours, a notable 84 crashes (24.9%) happened after dark on unlit 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 majority of crashes, 262 out of 338 (77.5%), resulted in no injuries. Collisions involving injuries of any severity accounted for 76 crashes, or 22.5% of the total. There were 3 fatal crashes recorded during this period, which resulted in a total of 3 fatalities.

Outcome by Severity (Crash Events)

Fatal3fatal crashes0.9%
Serious Injury10serious injury crashes3%
Minor Injury27minor injury crashes8%
Possible Injury36possible injury crashes10.7%
No Injury262no injury crashes77.5%

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 crashes was 'Animal,' which was involved in 60 incidents (17.8%). This was followed by drivers losing control (49 crashes, 14.5%) and running off a straight road (44 crashes, 13.0%). Driving too fast for conditions was also a notable factor, contributing to 25 crashes (7.4%).

Officer-Reported Primary Contributing Cause

Animal60 (17.8%)
Lost Control49 (14.5%)
Ran off road - straight44 (13%)
Driving too fast for conditions25 (7.4%)
Followed too close17 (5%)
FTYROW: From stop sign13 (3.8%)
Other (explain in narrative): Other12 (3.6%)
Ran off road - left11 (3.3%)
Driver Distraction: Other interior distraction10 (3%)
Improper or erratic lane changing10 (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

A majority of crashes occurred in ideal driving conditions, with 169 incidents (50.0%) happening in clear weather and 190 (56.2%) on dry road surfaces. Crashes during daylight hours accounted for 171 events (50.6%). Adverse weather conditions were noted in a smaller portion of incidents, including 33 crashes during snow and 13 during rain.

Weather

Clear169 (59.7%)
Cloudy59 (20.8%)
Snow33 (11.7%)
Rain13 (4.6%)
Blowing Snow5 (1.8%)
Freezing rain/drizzle3 (1.1%)
Fog, smoke, smog1 (0.4%)

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

Lighting

Daylight171 (60.0%)
Dark - roadway not lighted84 (29.5%)
Dark - roadway lighted15 (5.3%)
Dusk7 (2.5%)
Dawn6 (2.1%)
Dark - unknown roadway lighting2 (0.7%)

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

Road Surface

Dry190 (66.7%)
Snow41 (14.4%)
Wet23 (8.1%)
Ice/frost16 (5.6%)
Gravel13 (4.6%)
Slush2 (0.7%)

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 101 individuals, followed by the 55-64 age group with 88 individuals. Among the 496 vehicles involved, Chevrolet was the most frequent make with 83 vehicles, followed by Ford with 73 and Dodge with 46. Freightliner was the most common commercial truck make, appearing in 22 vehicle records.

Top Vehicle Makes (496 vehicles)

1
FORD73 (14.7%)
2
CHEV50 (10.1%)
3
CHEVROLET33 (6.7%)
4
DODG25 (5%)
5
FREIGHTLINER22 (4.4%)
6
DODGE21 (4.2%)
7
TOYOTA18 (3.6%)
8
PONT14 (2.8%)
9
HONDA11 (2.2%)
10
NR11 (2.2%)

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 (428 persons with recorded sex)

Male273 (63.8%)
Female155 (36.2%)

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

Major Cause

The primary major cause identified in crashes was 'Animal,' cited in 60 incidents. This was followed by 'Lost Control' in 49 crashes and 'Ran off road - straight' in 44 crashes. 'Driving too fast for conditions' was listed as the major cause in 25 crashes.

Major Cause

1
Animal60 (18.3%)
2
Lost Control49 (14.9%)
3
Ran off road - straight44 (13.4%)
4
Driving too fast for conditions25 (7.6%)
5
Followed too close17 (5.2%)
6
FTYROW: From stop sign13 (4%)
7
Other (explain in narrative): Other12 (3.7%)
8
Ran off road - left11 (3.4%)
9
Driver Distraction: Other interior distraction10 (3%)

Showing top 9 of 38 reported. 29 additional (87 total) not shown: Improper or erratic lane changing, Ran Stop Sign, FTYROW: Making left turn, FTYROW: At uncontrolled intersection, Driver Distraction: Reaching for object(s)/fallen object(s), Operating vehicle in an reckless, erratic, careless, negligent manner, Improper Backing, Driver Distraction: Inattentive/lost in thought, Made improper turn, Other (explain in narrative): No improper action, Ran Traffic Signal, Ran off road - right, Exceeded authorized speed, Driver Distraction: Exterior distraction, Crossed centerline (undivided), FTYROW: From parked position, Operator inexperience, FTYROW: Other (explain in narrative), Equipment failure, Driver Distraction: Talking on a hand-held device, Drove around RR grade crossing gates, Failed to yield to emergency vehicle, Driver Distraction: Passenger, Driver Distraction: Manual operation of an electronic communication device, FTYROW: From yield sign, Cargo/equipment loss or shift, Downhill runaway, Swerving/Evasive Action, 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, occurring in 130 crashes (38.5%). The second most frequent event was a collision with an animal, accounting for 60 incidents (17.8%). Run-off-road events were also significant, including 32 collisions with cable barriers and 28 collisions with a ditch.

First Harmful Event

1
Collision with: Vehicle in traffic130 (38.6%)
2
Collision with: Animal60 (17.8%)
3
Collision with fixed object: Cable barrier32 (9.5%)
4
Collision with fixed object: Ditch28 (8.3%)
5
Non-collision events: Overturn/rollover24 (7.1%)
6
Collision with: Parked motor vehicle7 (2.1%)
7
Collision with fixed object: Embankment5 (1.5%)
8
Non-collision events: Other non-collision (explain in narrative)4 (1.2%)
9
Non-collision events: Jackknife4 (1.2%)

Showing top 9 of 29 reported. 20 additional (43 total) not shown: Collision with: Re-entering roadway, Collision with fixed object: Traffic sign support, Collision with: Other non-fixed object (explain in narrative), Collision with fixed object: Bridge/bridge rail parapet, Collision with fixed object: Ground, Collision with fixed object: Guardrail - face, Collision with: Work zone maintenance equipment, Non-collision events: Vehicle went airborne, Collision with fixed object: Fence, Collision with: Struck/struck by object/cargo/person from other vehicle, Other (explain in narrative), Collision with fixed object: Utility pole/light support, Collision with fixed object: Tree, Collision with fixed object: Guardrail - end, Collision with fixed object: Curb/island/raised median, Miscellaneous events: Hit and run, Collision with fixed object: Other traffic barrier (explain in narrative), Collision with: Thrown or falling object, Collision with fixed object: Other fixed object (explain in narrative), Collision with: Railway vehicle/train.

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

Roadway Junction / Feature

A significant majority of crashes, 189 out of 338 (55.9%), occurred at non-intersection locations. Crashes at intersections accounted for 70 incidents (20.7%), with four-way intersections being the most common type, the site of 55 crashes.

Roadway Junction / Feature

1
Non-intersection: Non-junction/no special feature189 (66.3%)
2
Intersection: Four-way intersection55 (19.3%)
3
Intersection: Other intersection (explain in narrative)7 (2.5%)
4
Non-intersection: Other non-intersection (explain in narrative)7 (2.5%)
5
Intersection: T-intersection6 (2.1%)
6
Non-intersection: Driveway access (related, not in)4 (1.4%)
7
Interchange-related: Mainline, between ramps4 (1.4%)
8
Non-intersection: Driveway access (within)3 (1.1%)
9
Interchange-related: Off-ramp2 (0.7%)

Showing top 9 of 14 reported. 5 additional (8 total) not shown: Interchange-related: Off-ramp, diverge area, Non-intersection: Railroad grade crossing, Interchange-related: On-ramp merge area, Intersection: Y-intersection, Intersection: Intersection with 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 223 of the 496 vehicles (45.0%). Light trucks and SUVs collectively made up 29.0% of vehicles (144 total). Tractor/semi-trailers were involved in 54 instances, representing 10.9% of all vehicles in crashes.

Vehicle Type

"Other" combines 13 smaller categories (30 records): Cargo/panel van (6), Single-unit truck (>= 3 axles) (5), Farm tractor (4), Truck/trailer (4), All-terrain vehicle (ATV) (2), Maintenance/construction vehicle (2), Other (explain in narrative) (1), Other bus (seats > 15) (1), Tractor/doubles (1), Train (1), School bus (seats > 15) (1), Passenger van (seats 9-15) (1), Other heavy truck (> 10000 lbs) (cannot classify) (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, 310 out of 338, occurred where no traffic controls were present. In locations with traffic controls, 51 crashes occurred where stop signs were present and 44 occurred at traffic signals. This indicates that a large portion of incidents occurred on open stretches of road rather than at controlled intersections.

Traffic Control Device

"Other" combines 4 smaller categories (8 records): Warning sign (3), Railway crossing device (2), Flashing traffic control signal (2), Inoperative (not functioning properly) (1).

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

Most Damaged Area

The most common area of vehicle damage was the front, which was the primary impact point for 112 vehicles. Including front-corner impacts, frontal damage was recorded on a total of 194 vehicles. Rear-end damage was noted as the most severe for 42 vehicles.

Most Damaged Area

"Other" combines 10 smaller categories (115 records): Passenger side - front (23), Top (19), Driver side - rear (19), Passenger side - rear (15), Rear - driver side corner (11), Rear - passenger side corner (11), Other (explain in narrative) (6), Non-collision/no damage (6), Undercarriage (4), Cargo loss (1).

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

Crashes by City

Within Poweshiek County, the city of Grinnell had the highest concentration of crashes, with 89 incidents reported. The towns of Brooklyn and Montezuma followed with 11 and 9 crashes, respectively. A significant number of crashes in the county occurred outside of any incorporated city limits.

Crashes by City

1
GRINNELL89 (77.4%)
2
BROOKLYN11 (9.6%)
3
MONTEZUMA9 (7.8%)
4
MALCOM2 (1.7%)
5
SEARSBORO2 (1.7%)
6
VICTOR1 (0.9%)
7
GUERNSEY1 (0.9%)

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, 317, occurred on paved roads. A total of 20 crashes, representing 5.9% of the incidents where surface type was recorded, 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 cases where a roadway factor was identified as a contributor, 'Surface condition' such as wet or icy roads was the most common, cited in 56 crashes. Work zones were noted as a factor in 11 crashes. Other factors like slippery surfaces and traffic backups were each cited in 3 incidents.

Roadway Contributing Factor

1
Surface condition (e.g.wet, icy)56 (73.7%)
2
Work Zone (roadway-related)11 (14.5%)
3
Slippery, loose or worn surface3 (3.9%)
4
Traffic backup, prior crash3 (3.9%)
5
Ruts/holes/bumps1 (1.3%)
6
Disabled vehicle1 (1.3%)
7
Debris1 (1.3%)

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

Driver Condition

Among incidents where a driver's condition was noted as a factor, being asleep or fatigued was the most frequent, contributing to 24 crashes. Driving under the influence of alcohol was cited in 5 crashes. Medical issues, including illness or seizures, were a factor in 4 crashes combined.

Driver Condition

1
Asleep/fatigued24 (68.6%)
2
Under the influence of alcohol5 (14.3%)
3
Illness/fainted2 (5.7%)
4
Medical condition (seizure, reaction)2 (5.7%)
5
Under the influence of drugs/meds2 (5.7%)

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

Property Damage

The estimated property damage for the majority of crashes (213 incidents, or 63.0%) fell within the $1,500 to $7,500 range. Crashes resulting in high-value damage of $25,000 or more accounted for 27 incidents, or 8.0% of the total. Only 5 crashes were estimated to have damage under $1,500.

Property Damage

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

Manner of Collision

The dominant manner of collision was single-vehicle, non-collision events, such as running off the road or overturning, which accounted for 178 crashes (52.7%). Among multi-vehicle crashes, rear-end collisions were the most common, with 46 incidents (13.6%), followed by same-direction sideswipes with 36 incidents (10.7%).

Manner of Collision

"Other" combines 3 smaller categories (9 records): Sideswipe, opposite direction (4), Rear to side (3), Rear to rear (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 321 of the 496 vehicles (64.7%). Turning left was the action for 34 vehicles (6.9%), and changing lanes was the action for 18 vehicles (3.6%) prior to the crash.

Pre-Crash Driver Action

1
Movement essentially straight321 (69.6%)
2
Turning left34 (7.4%)
3
Changing lanes18 (3.9%)
4
Turning right16 (3.5%)
5
Slowing/stopping (deceleration)16 (3.5%)
6
Legally Parked12 (2.6%)
7
Backing12 (2.6%)
8
Stopped in traffic8 (1.7%)
9
Other (explain in narrative)8 (1.7%)

Showing top 9 of 16 reported. 7 additional (16 total) not shown: Entering traffic lane (merging), Negotiating a curve, Illegally Parked/Unattended, Overtaking/passing, Leaving a parked position, Leaving traffic lane, Accelerating in road.

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 566 of the 589 people recorded (96.1%). Passengers comprised a much smaller group, with 23 individuals, or 3.9% of the total.

Person Type

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

Person Injury Severity

Of the 589 individuals involved in crashes, 92 people (15.6%) were either injured or killed. This includes 3 fatalities, 11 serious injuries, 34 minor injuries, and 44 possible injuries. The remaining individuals were primarily reported with no injuries.

Person Injury Severity

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

Occupant Safety Equipment

For the small subset of individuals where safety equipment use was recorded, 60 were noted as using a shoulder and lap belt. In 6 of these recorded instances, no safety equipment was used. This data represents only a fraction of the 589 people involved in crashes.

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

Slightly more than half of the incidents, 188 crashes (55.6%), were single-vehicle events. Two-vehicle crashes were also common, accounting for 143 incidents (42.3%). Multi-vehicle pile-ups involving three or more vehicles were rare, with only 7 such crashes recorded.

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: 338
  • Total persons involved: 589
  • Total vehicles involved: 496

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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