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
1,687 CRASHES IN
IOWA, IA
2015
In 2015, Story County recorded 1,687 traffic crashes, resulting in 5 fatalities and 446 injuries. A significant concentration of these incidents occurred within the city of Ames, which accounted for 1,106 of the total crashes. The most common type of collision was a rear-end crash, representing nearly 30% of all incidents.
1,687
Total Crash Events
5
Persons Killed
446
Persons Injured
5
Fatal Crash Events
Note: "Persons Killed" (5) counts individual fatalities across all crash events. "Fatal" in the severity table below (5) 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
Motor vehicle occupants accounted for the majority of individuals killed or injured, with 4 motorists killed and 408 injured. Among vulnerable road users, one pedestrian was killed and 15 were injured. While no cyclists were killed, 21 sustained injuries in traffic crashes during this period.
1
Pedestrians Killed
0
Cyclists Killed
4
Motorists Killed
0
Other Killed
15
Pedestrians Injured
21
Cyclists Injured
408
Motorists Injured
2
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
Crash frequencies in Story County peaked on Fridays, with 309 incidents recorded on this day of the week. The most common time for a crash was the 5 p.m. hour, which saw 177 incidents, indicating a strong correlation with the evening commute. A majority of crashes, 1,079 in total, 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
A large majority of crashes, 1,312 or 77.8%, resulted in no injuries and involved only property damage. The remaining incidents involved injuries of varying severity, including 230 crashes with possible injuries, 118 with minor injuries, and 22 with serious injuries. In total, 5 crashes were fatal, resulting in 5 fatalities during this period.
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 Story County crashes was 'Followed too close,' cited in 253 incidents, or 15% of the total. Collisions involving animals were the second-most common factor, accounting for 207 crashes (12.3%). Failure to yield the right-of-way while making a left turn was the third leading cause, contributing to 161 crashes (9.5%).
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
The majority of crashes in 2015 occurred in what would be considered ideal driving conditions. Data shows that 1,079 crashes (64.0%) happened in daylight, 1,044 (61.9%) on dry road surfaces, and 959 (56.8%) in clear weather. Crashes in adverse conditions included 109 incidents during rain and 190 on wet roads, as well as 96 crashes in snow and 224 on roads with snow or ice.
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 3,522 people involved in crashes, individuals in the 21-25 age group were the most represented, with 711 people, followed by the 16-20 age group with 655 people. An analysis of the 3,050 vehicles involved shows that the most frequent makes were Chevrolet (548 vehicles), Ford (449 vehicles), and Toyota (335 vehicles).
Top Vehicle Makes (3,050 vehicles)
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
230 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (2,716 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 frequently cited major cause for crashes was 'Followed too close,' which was attributed to 253 incidents (15.0%). The second leading cause was collisions with an 'Animal,' noted in 207 crashes (12.3%). 'FTYROW: Making left turn' and 'Driving too fast for conditions' were also significant factors, contributing to 161 (9.5%) and 157 (9.3%) crashes, respectively.
Major Cause
Showing top 9 of 49 reported. 40 additional (476 total) not shown: FTYROW: From driveway, Ran off road - straight, Ran Traffic Signal, Ran Stop Sign, Driver Distraction: Other interior distraction, Improper Backing, Other (explain in narrative): No improper action, Swerving/Evasive Action, Driver Distraction: Exterior distraction, Exceeded authorized speed, Operating vehicle in an reckless, erratic, careless, negligent manner, Driver Distraction: Inattentive/lost in thought, Made improper turn, FTYROW: From yield sign, FTYROW: At uncontrolled intersection, FTYROW: To pedestrian, Driver Distraction: Reaching for object(s)/fallen object(s), Failed to keep in proper lane, FTYROW: Other (explain in narrative), FTYROW: Making right turn on red signal, FTYROW: From parked position, Other (explain in narrative): Vision obstructed, Ran off road - right, Driver Distraction: Passenger, Driver Distraction: Talking on a hand-held device, Passing: Other passing (explain in narrative), Passing: With insufficient distance/inadequate visibility, Equipment failure, Driver Distraction: Manual operation of an electronic communication device, Traveling wrong way or on wrong side of road, Illegally Parked/Unattended, Driver Distraction: Adjusting devices (radio, climate), Improper Starting, Crossed centerline (undivided), Operator inexperience, Other (explain in narrative): Improper operation, Failed to yield to emergency vehicle, Aggressive driving/road rage, Other (explain in narrative): Disregarded signs/road markings, Driver Distraction: Talking on a hands free device.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
First Harmful Event
The most common initial event in a crash was a 'Collision with: Vehicle in traffic,' which occurred in 1,111 of the 1,687 total incidents. The second most frequent event was a 'Collision with: Animal,' recorded in 202 crashes. Other notable events included single-vehicle crashes where the first harmful event was hitting a ditch (50 crashes) or an overturn/rollover (36 crashes).
First Harmful Event
Showing top 9 of 36 reported. 27 additional (144 total) not shown: Collision with fixed object: Utility pole/light support, Collision with fixed object: Guardrail - face, Non-collision events: Non-contact vehicle (phantom), Miscellaneous events: Hit and run, Collision with fixed object: Traffic sign support, Non-collision events: Other non-collision (explain in narrative), Collision with: Struck/struck by object/cargo/person from other vehicle, Collision with fixed object: Bridge/bridge rail parapet, Collision with fixed object: Tree, Collision with: Other non-fixed object (explain in narrative), Collision with fixed object: Other post/pole/support (explain in narrative), Other (explain in narrative), Collision with fixed object: Fence, Collision with fixed object: Mailbox, Collision with fixed object: Guardrail - end, Collision with fixed object: Fire hydrant, Non-collision events: Vehicle went airborne, Collision with fixed object: Bridge overhead structure, Collision with: Thrown or falling object, Miscellaneous events: Eluding law enforcement, Collision with fixed object: Building, Collision with fixed object: Concrete traffic barrier (median or right side), Collision with fixed object: Landscape/shrubbery, Collision with fixed object: Culvert/pipe opening, Collision with fixed object: Embankment, Collision with fixed object: Other fixed object (explain in narrative), Non-collision events: Fell/jumped from vehicle.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Roadway Junction / Feature
Crashes were most likely to occur on non-intersection road segments, with 682 incidents recorded in such locations. Four-way intersections were the second most common site for crashes, accounting for 442 incidents. T-intersections (130 crashes) and areas related to driveway access (100 crashes) were also frequent locations for collisions.
Roadway Junction / Feature
Showing top 9 of 18 reported. 9 additional (51 total) not shown: Non-intersection: Other non-intersection (explain in narrative), Interchange-related: Off-ramp, Non-intersection: Railroad grade crossing, Interchange-related: Mainline, between ramps, Non-intersection: Alley, Non-intersection: Crossover-related, Intersection: Roundabout, Intersection: Five points or more, Interchange-related: On-ramp.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Vehicle Type
Of the 3,050 vehicles involved in crashes, passenger cars were the most prevalent type, accounting for 1,704 vehicles. Sport utility vehicles (SUVs) were the second most common with 571 vehicles, followed by four-tire light trucks and pickups with 373. The data also includes 50 tractor/semi-trailers and 26 motorcycles involved in crashes.
Vehicle Type
"Other" combines 17 smaller categories (86 records): Cargo/panel van (22), Single-unit truck (>= 3 axles) (14), Other bus (seats > 15) (12), Passenger van (seats 9-15) (11), School bus (seats > 15) (6), Other (explain in narrative) (4), Moped (3), Farm tractor (3), Truck/trailer (2), Motor home/recreational vehicle (2), Street legal, low-speed vehicle (1), Farm equipment (explain in narrative) (1), Train (1), Truck tractor (bobtail) (1), Golf cart (1), Other small bus (seats 9-15) (1), Small school bus (seats 9-15) (1).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Traffic Control Device
For the 3,050 vehicles involved in crashes, the most common scenario was the absence of traffic controls, which was the case for 1,610 vehicles. Where traffic controls were present, traffic signals were the most common, governing 762 vehicles involved in crashes. Stop signs were the next most frequent control type, present for 323 vehicles.
Traffic Control Device
"Other" combines 5 smaller categories (16 records): Work zone sign (6), No Passing Zone (marked) (5), Traffic director (person) (2), Warning sign (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 front of the vehicle was the most common point of impact, with 822 vehicles sustaining primary damage there. A substantial number of vehicles, 455, were most damaged on their rear, which is characteristic of rear-end collisions. Various forms of side damage, impacting areas like the driver-side front (144 vehicles) and passenger-side middle (130 vehicles), were also frequently reported.
Most Damaged Area
"Other" combines 10 smaller categories (617 records): Passenger side - front (122), Rear - driver side corner (109), Driver side - rear (98), Passenger side - rear (96), Rear - passenger side corner (93), Top (34), Non-collision/no damage (29), Other (explain in narrative) (25), Undercarriage (10), Cargo loss (1).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Crashes by City
Crash data for Story County is heavily concentrated in the city of Ames, which recorded 1,106 incidents. The next most impacted municipalities were Nevada, with 75 crashes, and Huxley, with 55 crashes. These figures highlight the distribution of traffic incidents across the county's urban and town centers.
Crashes by City
Showing top 9 of 14 reported. 5 additional (11 total) not shown: COLLINS, CAMBRIDGE, KELLEY, ZEARING, SHELDAHL.
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, 1,632 out of 1,687 total, occurred on paved roadways. A total of 50 crashes were recorded on unpaved surfaces like gravel or dirt, representing approximately 3.0% of all incidents where the road surface type was specified.
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 deemed contributory, 'Surface condition (e.g. wet, icy)' was the most cited issue, noted in 239 incidents. Other less frequent factors included traffic backups from a prior crash (14 incidents), roadway work zones (11 incidents), and debris on the road (7 incidents).
Roadway Contributing Factor
Showing top 9 of 11 reported. 2 additional (3 total) not shown: Ruts/holes/bumps, Disabled vehicle.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Driver Condition
While most drivers were recorded as 'apparently normal,' the most frequently noted contributing driver condition was being 'Under the influence of alcohol,' which was recorded for 43 drivers. The next most common conditions were being 'Asleep/fatigued,' noted for 16 drivers, and being in an 'Emotional' state, such as depressed or angry, for 13 drivers.
Driver Condition
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Property Damage
The most common range for estimated property damage was between $1,500 and $7,500, which was reported for 1,246 crashes. A total of 359 crashes resulted in damage estimated between $7,500 and $25,000. High-cost incidents with damage exceeding $25,000 accounted for 26 crashes, or approximately 1.5% of the total.
Property Damage
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Manner of Collision
Rear-end collisions were the most common crash type, accounting for 497 incidents or 29.5% of all crashes. Single-vehicle, non-collision events, such as running off the road or overturning, were the second most frequent category with 415 incidents (24.6%). Broadside collisions were the third most common, occurring in 252 crashes (14.9%).
Manner of Collision
"Other" combines 3 smaller categories (57 records): Sideswipe, opposite direction (27), Head-on (front to front) (26), Rear to rear (4).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Pre-Crash Driver Action
Among vehicles involved in crashes, the most common action immediately prior to the incident was 'Movement essentially straight,' recorded for 1,572 vehicles. 'Turning left' was the second most frequent pre-crash action for 319 vehicles. Other common actions included 'Slowing/stopping' (234 vehicles) and being 'Stopped in traffic' (228 vehicles).
Pre-Crash Driver Action
Showing top 9 of 19 reported. 10 additional (98 total) not shown: Negotiating a curve, Entering traffic lane (merging), Starting in road, Leaving traffic lane, Overtaking/passing, Illegally Parked/Unattended, Accelerating in road, Making U-turn, Leaving a parked position, Entering a parked position.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Pedestrian/Cyclist Action
For the 39 non-motorists involved in crashes where an action was recorded, the most prevalent behavior was 'Entering or crossing roadway,' which was documented for 35 individuals. Other actions were noted in only a few cases, including entering or exiting a vehicle and being on a sidewalk.
Pedestrian/Cyclist Action
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Non-motorist records linked to crash events
Person Type
Of the 3,522 individuals involved in traffic incidents, the overwhelming majority were drivers, accounting for 3,388 people. The data also includes 95 passengers, 21 bicyclists, and 16 pedestrians who were involved in these crashes.
Person Type
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Person Injury Severity
Across all 3,522 people involved in crashes, 5 individuals sustained fatal injuries. A total of 446 people were injured, with severities ranging from possible (278 people) and minor (142 people) to serious (26 people). The remaining individuals were either not injured or had an unknown injury status.
Person Injury Severity
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Occupant Safety Equipment
Based on a subset of 354 individuals for whom safety equipment use was documented, 324 were reported to have used a shoulder and lap belt. No safety equipment was used by 16 of these individuals. Additionally, 7 people used a DOT-compliant helmet and 3 were in a forward-facing 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
Two-vehicle collisions were the most frequent type of crash, with 1,095 incidents. Single-vehicle crashes were also common, accounting for 474 incidents, or 28.1% of the total. The data includes 118 multi-vehicle crashes involving three or more vehicles, with two notable pile-ups involving 9 and 11 vehicles respectively.
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: 1,687
- Total persons involved: 3,522
- Total vehicles involved: 3,050
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