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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
289 CRASHES IN
IOWA, IA
2015
In 2015, Hardin County recorded 289 traffic crashes, resulting in 3 fatalities and 80 injuries. A significant portion of these incidents, 90 crashes or 31.1%, were attributed to collisions with animals, making it the single most frequent contributing factor in the dataset.
289
Total Crash Events
3
Persons Killed
80
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
Motorists comprised the majority of individuals killed or injured, with 2 fatalities and 79 injuries. Additionally, one pedestrian was killed and one was injured in crashes during this period. The data reported no fatalities or injuries involving cyclists.
1
Pedestrians Killed
2
Motorists Killed
1
Pedestrians Injured
79
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 Hardin County occurred most frequently on Thursdays, with 48 incidents recorded. The peak times for crashes were the 5 p.m. and 10 p.m. hours, each with 21 incidents. Overall, 142 crashes, or 49.1% of the total, happened during daylight hours, while 63 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
The majority of crashes, 219 out of 289 (75.8%), resulted in no injuries. Injury-involved crashes accounted for the remaining 24.2%, including 7 serious injury, 20 minor injury, and 40 possible injury incidents. There were 3 fatal crashes 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 common contributing factor cited in crashes was an animal, accounting for 90 incidents (31.1%). The next most frequent factors were losing control of the vehicle, which was cited in 32 crashes (11.1%), and driving too fast for conditions, noted in 16 crashes (5.5%). Driver distraction, including inattentiveness or other interior distractions, was a factor in a combined 16 incidents.
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 plurality of crashes occurred in favorable conditions, with 146 incidents (50.5%) on dry roads and 142 (49.1%) in daylight. Clear weather was reported for 128 crashes, with an additional 54 occurring under cloudy skies. Adverse conditions were less common, with 23 crashes on wet roads, 19 on ice or frost, and 15 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
Among the 490 people involved in crashes, the 16-20 age group was the most represented with 92 individuals, followed by the 55-64 age group with 81 individuals. The most common vehicle makes involved were Chevrolet (106 vehicles), Ford (67 vehicles), and Dodge (38 vehicles). These figures represent the raw counts of vehicles involved in collisions.
Top Vehicle Makes (407 vehicles)
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
15 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (387 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
Collisions with an animal were the leading major cause of crashes, cited in 90 incidents. Losing control of the vehicle was the second-most frequent cause, contributing to 32 crashes. Other significant causes included driving too fast for conditions (16 crashes) and running off the road (13 to the left, 10 straight).
Major Cause
Showing top 9 of 38 reported. 29 additional (82 total) not shown: Driver Distraction: Inattentive/lost in thought, FTYROW: Making left turn, Improper Backing, Operating vehicle in an reckless, erratic, careless, negligent manner, Ran Stop Sign, FTYROW: From driveway, FTYROW: At uncontrolled intersection, Driver Distraction: Exterior distraction, Made improper turn, Failed to keep in proper lane, Exceeded authorized speed, Driver Distraction: Reaching for object(s)/fallen object(s), Passing: Other passing (explain in narrative), Crossed centerline (undivided), Swerving/Evasive Action, FTYROW: From yield sign, Driver Distraction: Unrestrained animal, Illegally Parked/Unattended, Passing: On wrong side, FTYROW: From parked position, Driver Distraction: Manual operation of an electronic communication device, Ran off road - right, Ran Traffic Signal, Traveling on prohibited traffic way, Improper or erratic lane changing, Other (explain in narrative): Improper operation, Other (explain in narrative): No improper action, Traveling wrong way or on wrong side of road, Other (explain in narrative): Vision obstructed.
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, occurring in 92 crashes. This was closely followed by collisions with an animal, which was the first harmful event in 88 incidents. Run-off-road events were also common, including 35 crashes where the first event was entering a ditch and 22 involving an overturn or rollover.
First Harmful Event
Showing top 9 of 28 reported. 19 additional (28 total) not shown: Other (explain in narrative), Collision with fixed object: Bridge/bridge rail parapet, Collision with fixed object: Building, Collision with fixed object: Culvert/pipe opening, Collision with fixed object: Embankment, Collision with fixed object: Fence, Collision with fixed object: Guardrail - end, Collision with fixed object: Other post/pole/support (explain in narrative), Non-collision events: Non-contact vehicle (phantom), Collision with: Struck/struck by object/cargo/person from other vehicle, Collision with: Non-motorist (see non-motorist section - NOT a unit), Collision with: Work zone maintenance equipment, Miscellaneous events: Hit and run, Miscellaneous events: Immersion, Non-collision events: Fell/jumped from vehicle, Collision with fixed object: Ground, Non-collision events: Other non-collision (explain in narrative), Collision with fixed object: Snow bank, Collision with: Other non-fixed object (explain in narrative).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Roadway Junction / Feature
The majority of crashes, 143 out of 289, occurred at non-intersection locations, representing 49.5% of the total. Crashes at intersections were less frequent, with 32 incidents at four-way intersections and 16 at T-intersections. An additional 15 crashes were related to driveway access points.
Roadway Junction / Feature
Showing top 9 of 10 reported. 1 additional (1 total) not shown: Non-intersection: Bike lanes.
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 188 of the 407 vehicles. Light trucks and pickups were the second-most common with 99 vehicles, followed by sport utility vehicles with 45. Tractor-trailers were involved in 22 incidents, representing 5.4% of all vehicles.
Vehicle Type
"Other" combines 10 smaller categories (20 records): Single-unit truck (>= 3 axles) (4), Farm tractor (3), Truck tractor (bobtail) (2), Cargo/panel van (2), Moped (2), Other light truck (<=10000 lbs) (2), Farm equipment (explain in narrative) (2), Maintenance/construction vehicle (1), Truck/trailer (1), All-terrain vehicle (ATV) (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, 251 out of 289 (86.9%), occurred where no traffic controls were present. In locations with controls, 40 crashes happened at stop signs and 21 occurred at traffic signals. Crashes at locations with yield signs or warning signs were significantly less frequent.
Traffic Control Device
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, with 78 vehicles sustaining primary damage to the front and an additional 53 to a front corner. Side impacts were the next most frequent, with 28 vehicles damaged on the driver's side middle area. Rear impacts were noted as the most damaged area for 24 vehicles.
Most Damaged Area
"Other" combines 9 smaller categories (103 records): Passenger side - middle (17), Rear - driver side corner (16), Passenger side - rear (16), Driver side - front (14), Passenger side - front (11), Rear - passenger side corner (11), Other (explain in narrative) (9), Undercarriage (5), Non-collision/no damage (4).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Crashes by City
Within Hardin County, Iowa Falls had the highest number of crashes with 60 incidents. Eldora and Hubbard each recorded 9 crashes, while Radcliffe reported 6 crashes. These figures represent crashes occurring within the specified municipal boundaries.
Crashes by City
Showing top 9 of 10 reported. 1 additional (1 total) not shown: UNION.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Paved vs Unpaved Road
Crashes predominantly occurred on paved roadways, with 260 such incidents reported. Collisions on unpaved surfaces like gravel or dirt accounted for 29 crashes, representing 10.0% of the total for the period.
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 where a roadway factor was noted, surface conditions such as wet or icy roads were the most common contributor, cited in 30 incidents. Other roadway factors were rare, with debris being a factor in 2 crashes and a work zone contributing to 1 crash.
Roadway Contributing Factor
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Driver Condition
Among drivers whose condition was noted as something other than 'apparently normal,' being under the influence of alcohol was the most frequent, recorded for 12 individuals. An additional 5 drivers were noted as asleep or fatigued. These numbers only reflect cases where a specific condition was officially recorded.
Driver Condition
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Property Damage
The most common estimated property damage cost was in the $1,500 to $7,500 range, which applied to 231 crashes, or 79.9% of the total. High-damage incidents, estimated at over $25,000, were less common, accounting for 8 crashes (2.8%). An equal number of crashes (8) resulted in damage estimated 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
Single-vehicle, non-collision events were the dominant manner of collision, accounting for 152 crashes or 52.6% of the total. Among multi-vehicle incidents, broadside collisions were most frequent with 31 cases (10.7%), followed by rear-end collisions with 26 cases (9.0%).
Manner of Collision
"Other" combines 2 smaller categories (6 records): Sideswipe, opposite direction (3), Head-on (front to front) (3).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Pre-Crash Driver Action
For the 407 vehicles involved in crashes, the most common pre-crash action was moving essentially straight, reported for 233 vehicles (57.2%). Turning left was the action for 28 vehicles prior to impact, while 17 vehicles were backing.
Pre-Crash Driver Action
Showing top 9 of 17 reported. 8 additional (18 total) not shown: Overtaking/passing, Illegally Parked/Unattended, Making U-turn, Starting in road, Changing lanes, Entering traffic lane (merging), Leaving traffic lane, 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 490 individuals involved in crashes, the vast majority, 478 people (97.6%), were drivers. Passengers accounted for 10 individuals, and pedestrians accounted for 2 individuals. No cyclists were recorded in the crash data for this period.
Person Type
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Person Injury Severity
Across all 490 people involved in crashes, 3 individuals sustained fatal injuries and 80 sustained non-fatal injuries. The non-fatal injuries included 9 serious injuries, 24 minor injuries, and 47 possible injuries. The remaining individuals were not injured.
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 75 vehicle occupants for whom safety equipment use was recorded, 62 were using a shoulder and lap belt. Nine individuals, representing 12% of this group, were recorded as using no safety equipment. Three individuals 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
Single-vehicle crashes were the most common type, accounting for 179 of the 289 incidents (61.9%). Two-vehicle crashes were the next most frequent, with 103 incidents. Crashes involving three or more vehicles were rare, with only 7 such events 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: 289
- Total persons involved: 490
- Total vehicles involved: 407
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