ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · IOWA, IA · 2015
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/iowa/statewide/2015-annual-report
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)
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
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
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Weather condition at time of crash
Lighting
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Lighting condition field
Road Surface
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)
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)
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
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
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
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
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
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
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
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
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Iowa Crash Data · ArcGIS
Period: 2015-01-01 – 2015-12-31
Generated: September 9, 2026 · All rights reserved