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
73 CRASHES IN
IOWA, IA
2015
In 2015, Osceola County recorded 73 total traffic crashes, resulting in 2 fatalities and 27 injuries. The most frequently cited contributing factor in these incidents was the presence of an animal on the roadway, which was noted in 26% of all crashes.
73
Total Crash Events
2
Persons Killed
27
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
All fatalities and injuries in Osceola County in 2015 involved motor vehicle occupants. A total of 2 motorists were killed and 27 were injured. There were no recorded fatalities or injuries involving pedestrians or cyclists during this period.
2
Motorists Killed
27
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 Osceola County occurred most frequently on Mondays, which saw 14 incidents in 2015. The peak time for crashes was the 7 a.m. hour with 7 incidents, part of a broader morning commuter period. A significant number of crashes, 37 out of 73, occurred 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
The majority of crashes, 68.5% (50 incidents), resulted in no injuries. Injury-related crashes accounted for 21 incidents, including 4 with serious injuries and 11 with minor injuries. There were 2 fatal crashes during this period, which resulted in a total of 2 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 leading contributing factor identified in crashes was 'Animal,' cited in 19 incidents, or 26% of the total. Following this, failure to yield the right-of-way from a stop sign was a factor in 7 crashes (9.6%). Other notable factors included failure to yield at an uncontrolled intersection, running off the road, and driving too fast for conditions, each cited in 6 crashes (8.2%).
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 substantial portion of crashes occurred in favorable conditions, with 27 incidents (37%) happening in clear weather and 29 (40%) on dry road surfaces. Daylight conditions were present for 37 crashes (51%). Adverse road conditions were also a factor, with 11 crashes occurring on snow and 6 on ice or frost.
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 and 35-44 age groups were most represented, with 28 and 27 individuals respectively. Among the 109 vehicles involved, Chevrolet (25 vehicles) and Ford (22 vehicles) were the most frequent makes recorded in crash reports.
Top Vehicle Makes (109 vehicles)
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
13 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (90 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 most common major cause of crashes was attributed to animals on the roadway, accounting for 19 incidents. Failure to yield the right-of-way was also a significant factor, with 7 crashes occurring from a stop sign and 6 at an uncontrolled intersection. Other primary causes included running off a straight road and driving too fast for conditions, each contributing to 6 crashes.
Major Cause
Showing top 9 of 20 reported. 11 additional (14 total) not shown: Operating vehicle in an reckless, erratic, careless, negligent manner, Driver Distraction: Inattentive/lost in thought, FTYROW: From driveway, Driver Distraction: Unrestrained animal, Exceeded authorized speed, Failed to keep in proper lane, Followed too close, FTYROW: From yield sign, Improper Backing, Improper or erratic lane changing, Other (explain in narrative): No improper action.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
First Harmful Event
The most frequent first harmful event was a collision with another vehicle in traffic, recorded in 23 crashes. The second most common event was a collision with an animal, which occurred in 19 incidents. Run-off-road events were also notable, including 9 crashes where the first harmful event was entering a ditch and 7 involving an overturn or rollover.
First Harmful Event
Showing top 9 of 10 reported. 1 additional (1 total) not shown: Collision with: Re-entering roadway.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Roadway Junction / Feature
Crashes were more likely to occur away from intersections, with 31 incidents categorized as happening at a non-junction location. Sixteen crashes occurred at four-way intersections. The data indicates a higher frequency of incidents on straight road segments or between formal junctions.
Roadway Junction / Feature
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 34 of the 109 vehicles. Sport utility vehicles (24) and light trucks or pickups (21) were also frequently involved. Notably, 11 tractor/semi-trailers and 2 motorcycles were documented in crash reports.
Vehicle Type
"Other" combines 4 smaller categories (4 records): Cargo/panel van (1), School bus (seats > 15) (1), Single unit truck (2-axle, 6-tire) (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 the majority of vehicles involved in crashes, no traffic controls were present; this was the case for 77 of the 109 vehicles. Stop signs were the most common form of traffic control noted, being relevant for 12 vehicles involved in collisions. Only one vehicle was associated with a crash at a yield sign.
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 24 vehicles sustaining primary damage to the front. An additional 18 vehicles had damage concentrated on a front corner. Side impacts were also frequent, while purely rear-end damage was noted on 2 vehicles.
Most Damaged Area
"Other" combines 8 smaller categories (22 records): Driver side - middle (5), Rear - driver side corner (4), Passenger side - front (3), Passenger side - rear (3), Rear (2), Other (explain in narrative) (2), Top (2), Undercarriage (1).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Crashes by City
Crash data reported by location shows that the majority of municipal incidents occurred in Sibley, with 21 crashes. Melvin was the only other city with a recorded crash, accounting for 1 incident.
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, 66 out of 73, took place on paved roadways. A smaller but notable portion, 7 crashes (9.6%), occurred 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 cited as a contributor, surface conditions like wet or icy pavement were the most common, noted in 18 crashes. An obstruction in the roadway was listed as a factor in one crash. For most incidents, no specific roadway factor was identified.
Roadway Contributing Factor
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Property Damage
Property damage was estimated to be between $1,500 and $7,500 for the largest group of crashes (40 incidents). Twenty-four crashes resulted in damages estimated between $7,500 and $25,000. Nine crashes, or 12.3% of the total, involved high-value property damage estimated at over $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 were the most common manner of collision, accounting for 25 crashes or 34.2% of the total. Broadside, or front-to-side, collisions were the next most frequent type, with 19 incidents (26%). Rear-end collisions were reported in 6 crashes.
Manner of Collision
"Other" combines 1 smaller categories (1 records): Angle, oncoming left turn (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 moving essentially straight, which was reported for 62 of the 109 vehicles involved. Eight vehicles were legally parked at the time of the collision. Turning maneuvers, both left and right, were the pre-crash action for 6 vehicles.
Pre-Crash Driver Action
Showing top 9 of 11 reported. 2 additional (2 total) not shown: Leaving traffic lane, Negotiating a curve.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Person Type
Of the 140 individuals involved in crashes, the vast majority were drivers, accounting for 133 people. The remaining 7 individuals were passengers. No other person types, such as pedestrians or cyclists, were recorded in these incidents.
Person Type
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Person Injury Severity
Across all 140 people involved in crashes, 2 individuals sustained fatal injuries. An additional 27 people were injured, including 4 with serious injuries, 16 with minor injuries, and 7 with possible injuries. Two individuals were recorded with no 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 26 individuals for whom safety equipment use was specified, 20 were reported to have used a shoulder and lap belt. Four individuals were recorded as using no safety equipment at the time of the crash. One person was in a child safety seat.
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 type, accounting for 38 of the 73 total incidents (52%). Two-vehicle collisions were also frequent, with 34 occurrences. One crash involved three vehicles.
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 10, 2026
Data Coverage
- Reporting period: 2015-01-01 through 2015-12-31 (365 days)
- Geographic scope: iowa, IA
- Total crash records analyzed: 73
- Total persons involved: 140
- Total vehicles involved: 109
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 10, 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 10, 2026 · All rights reserved