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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.
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GET: https://thatcarhitme.com/api/crash-data/reports/data/iowa/statewide/2015-annual-report
Yearly Traffic Safety Analysis
4,018 CRASHES IN
IOWA, IA
2015
In 2015, Scott County recorded 4,018 total traffic crashes, which resulted in 21 fatalities and 1,369 injuries. A significant portion of these incidents were rear-end collisions, accounting for 31.2% of all crashes. The most frequently cited contributing factor was following too closely, noted in 15% of incidents.
4,018
Total Crash Events
21
Persons Killed
1,369
Persons Injured
18
Fatal Crash Events
Note: "Persons Killed" (21) counts individual fatalities across all crash events. "Fatal" in the severity table below (18) 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 largest group of individuals killed or injured, with 18 fatalities and 1,308 injuries. Crashes also resulted in 3 pedestrian fatalities and 35 pedestrian injuries. While no cyclists were killed, 24 were injured during the reporting period.
3
Pedestrians Killed
0
Cyclists Killed
18
Motorists Killed
0
Other Killed
35
Pedestrians Injured
24
Cyclists Injured
1,308
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 Scott County peaked on Fridays, with 665 incidents reported. The afternoon commute, particularly the 5 p.m. hour, was the most common time for crashes, with 377 events. Overall, a majority of crashes, 2,703 in total, occurred during daylight hours, with distinct peaks during morning and evening travel times.
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 vast majority of crashes, 2,821 or 70.2%, resulted in no injuries. Injury-involved crashes, including serious, minor, and possible injuries, accounted for 1,179 incidents (29.3%). There were 18 distinct fatal crashes, which resulted in a total of 21 fatalities, as a single crash can involve more than one death.
Severity is per crash event (most severe injury). 18 fatal crash events resulted in 21 persons killed.
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 'Followed too close,' cited in 602 incidents, or 15% of the total. The second most common factor was a vehicle running off the road to the left, which occurred in 408 crashes (10.2%). Failure to yield the right-of-way while making a left turn was the third leading cause, contributing to 271 crashes (6.7%).
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 majority of crashes occurred in favorable conditions. Specifically, 70.4% of incidents (2,829 crashes) happened on dry road surfaces, 67.3% (2,703 crashes) in daylight, and 60.3% (2,425 crashes) in clear weather. Crashes in adverse conditions included 312 in rain, 145 in snow, and 1,016 in dark or low-light conditions.
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 all persons involved in crashes, the 26-34 age group was the most represented, with 1,424 individuals. The 35-44 age group followed with 1,276 people, and the 16-20 age group with 1,171. The most frequent vehicle makes involved in these incidents were Ford (1,387 vehicles), Chevrolet (1,253 vehicles), and Toyota (602 vehicles).
Top Vehicle Makes (7,583 vehicles)
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
1,148 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (6,230 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 'Followed too close,' which was cited in 602 incidents (15.0%). Running off the road to the left was the second-leading cause, accounting for 408 crashes (10.2%). Failure to yield while making a left turn contributed to 271 crashes (6.7%), followed by running a traffic signal in 220 crashes (5.5%).
Major Cause
Showing top 9 of 49 reported. 40 additional (1,261 total) not shown: Lost Control, Made improper turn, Ran Stop Sign, Ran off road - straight, Improper or erratic lane changing, Driver Distraction: Other interior distraction, FTYROW: From driveway, FTYROW: Other (explain in narrative), Other (explain in narrative): No improper action, Swerving/Evasive Action, Driver Distraction: Inattentive/lost in thought, Exceeded authorized speed, Failed to keep in proper lane, FTYROW: At uncontrolled intersection, Driver Distraction: Exterior distraction, Improper Backing, FTYROW: From parked position, Traveling wrong way or on wrong side of road, Aggressive driving/road rage, FTYROW: From yield sign, Ran off road - right, Passing: Other passing (explain in narrative), Passing: Through/around barrier, Driver Distraction: Manual operation of an electronic communication device, Driver Distraction: Reaching for object(s)/fallen object(s), Over correcting/over steering, Driver Distraction: Adjusting devices (radio, climate), FTYROW: To pedestrian, Driver Distraction: Passenger, FTYROW: Making right turn on red signal, Driver Distraction: Other electronic device activity, Other (explain in narrative): Vision obstructed, Other (explain in narrative): Improper operation, Crossed centerline (undivided), Equipment failure, Failed to yield to emergency vehicle, Operator inexperience, Passing: On wrong side, Passing: With insufficient distance/inadequate visibility, Driver Distraction: Talking on a hand-held device.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
First Harmful Event
The predominant first harmful event was a collision with another vehicle in traffic, which occurred in 2,804 crashes. Collisions with fixed objects were also common, including 110 crashes involving a utility or light pole and 74 crashes where a vehicle entered a ditch. Additionally, 200 crashes were initiated by a collision with an animal.
First Harmful Event
Showing top 9 of 47 reported. 38 additional (328 total) not shown: Other (explain in narrative), Collision with fixed object: Guardrail - face, Collision with fixed object: Tree, Non-collision events: Non-contact vehicle (phantom), Non-collision events: Other non-collision (explain in narrative), Collision with fixed object: Traffic sign support, Collision with fixed object: Bridge overhead structure, Collision with fixed object: Fire hydrant, Miscellaneous events: Hit and run, Collision with: Struck/struck by object/cargo/person from other vehicle, Collision with fixed object: Other post/pole/support (explain in narrative), Collision with: Other non-fixed object (explain in narrative), Collision with fixed object: Concrete traffic barrier (median or right side), Collision with: Re-entering roadway, Non-collision events: Jackknife, Collision with fixed object: Building, Non-collision events: Vehicle went airborne, Collision with fixed object: Guardrail - end, Collision with fixed object: Bridge/bridge rail parapet, Collision with fixed object: Other fixed object (explain in narrative), Collision with fixed object: Mailbox, Collision with fixed object: Fence, Collision with: Work zone maintenance equipment, Collision with fixed object: Embankment, Collision with fixed object: Wall, Collision with fixed object: Snow bank, Collision with fixed object: Traffic signal support, Collision with fixed object: Other traffic barrier (explain in narrative), Collision with: Railway vehicle/train, Collision with: Thrown or falling object, Non-collision events: Fell/jumped from vehicle, Collision with fixed object: Landscape/shrubbery, Collision with fixed object: Culvert/pipe opening, Collision with fixed object: Ground, Miscellaneous events: Vehicle out of gear/rolled, Miscellaneous events: Fire/explosion, Miscellaneous events: Eluding law enforcement, Collision with fixed object: Bridge pier or support.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Roadway Junction / Feature
Crashes were split between non-intersection and intersection locations. Approximately 45.6% of crashes (1,831) occurred at non-junction segments of the roadway. Four-way intersections were the most common type of junction for crashes, accounting for 1,056 incidents, followed by T-intersections with 332 incidents.
Roadway Junction / Feature
Showing top 9 of 23 reported. 14 additional (172 total) not shown: Non-intersection: Alley, Interchange-related: Off-ramp, Interchange-related: Off-ramp, diverge area, Interchange-related: On-ramp, Intersection: Five points or more, Non-intersection: Crossover-related, Non-intersection: Railroad grade crossing, Intersection: Y-intersection, Interchange-related: Mainline, between ramps, Intersection: L-intersection, Intersection: Roundabout, Intersection: Shared use path or trail, Interchange-related: Other interchange (explain in narrative), Intersection: Traffic circle.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Vehicle Type
Passenger cars were the most prevalent vehicle type involved in crashes, accounting for 3,874 of the 7,583 vehicles. Sport utility vehicles were the second most common with 1,719 vehicles, followed by light trucks and pickups with 928 vehicles. The data also includes 140 tractor-semi-trailers and 62 motorcycles involved in collisions.
Vehicle Type
"Other" combines 21 smaller categories (163 records): Cargo/panel van (44), Single-unit truck (>= 3 axles) (36), Other bus (seats > 15) (14), Passenger van (seats 9-15) (12), School bus (seats > 15) (10), Truck tractor (bobtail) (9), Motor home/recreational vehicle (6), Maintenance/construction vehicle (5), Other (explain in narrative) (5), Train (4), Farm tractor (4), Other light truck (<=10000 lbs) (3), Golf cart (2), All-terrain vehicle (ATV) (2), Tractor/doubles (1), 3-wheeled, unenclosed (1), Farm equipment (explain in narrative) (1), Truck/trailer (1), Moped (1), Other heavy truck (> 10000 lbs) (cannot classify) (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
Of the 7,583 vehicles involved in crashes, a majority (4,250) were at locations with no traffic controls present. For vehicles at locations with controls, traffic signals were the most common, governing 2,289 vehicles involved in incidents. Stop signs were present for 634 vehicles involved in crashes.
Traffic Control Device
"Other" combines 4 smaller categories (31 records): Warning sign (13), No Passing Zone (marked) (8), Inoperative (not functioning properly) (7), Railway crossing device (3).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Most Damaged Area
The most frequently damaged area on vehicles was the front, recorded for 2,047 vehicles, consistent with front-to-rear collisions. The rear of the vehicle was the most damaged area in 1,156 cases, further indicating a high prevalence of rear-end crashes. Side impacts were also notable, with the driver's side middle (431 vehicles) and passenger's side middle (314 vehicles) being common points of damage.
Most Damaged Area
"Other" combines 10 smaller categories (1,487 records): Passenger side - middle (314), Driver side - rear (305), Rear - driver side corner (279), Passenger side - rear (211), Rear - passenger side corner (183), Other (explain in narrative) (71), Top (67), Non-collision/no damage (31), Undercarriage (23), Cargo loss (3).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Impairment (Alcohol / Drugs)
A total of 143 crashes involved a driver flagged for impairment, representing 3.6% of all crashes. Alcohol was the primary substance noted, involved in 140 of these incidents. Drugs were a factor in 2 crashes, and a combination of alcohol and drugs was noted in one crash.
Crashes by City
Crash distribution within Scott County was concentrated in its larger municipalities. Davenport accounted for the vast majority of incidents with 3,057 crashes. Bettendorf recorded the second-highest number with 520 crashes, followed by Le Claire with 54 crashes and Eldridge with 46.
Crashes by City
Showing top 9 of 15 reported. 6 additional (16 total) not shown: DONAHUE, PRINCETON, NEW LIBERTY, DURANT, PANORAMA PARK, MAYSVILLE.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Paved vs Unpaved Road
The overwhelming majority of crashes occurred on paved roadways, with 3,971 incidents reported. Crashes on unpaved surfaces like gravel or dirt roads were infrequent, accounting for only 35 incidents, or approximately 0.9% of the total where 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
Among crashes where a roadway factor was cited, adverse surface conditions such as wet or icy pavement were the most common, contributing to 354 incidents. Work zone-related factors were noted in 80 crashes. Other less frequent factors included debris in the roadway (8 crashes) and traffic backups (11 crashes).
Roadway Contributing Factor
Showing top 9 of 11 reported. 2 additional (3 total) not shown: Disabled vehicle, Traffic control obscured.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Driver Condition
In cases where a driver's condition was noted as something other than 'apparently normal,' being under the influence of alcohol was the most frequent, recorded for 177 drivers. The next most common conditions were being asleep or fatigued (57 drivers), emotional distress (32 drivers), and suffering from a medical condition (29 drivers).
Driver Condition
Showing top 9 of 10 reported. 1 additional (1 total) not shown: Walks with a cane/crutches.
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 - $7,500' range, which applied to 3,023 crashes, or 75.2% of the total. High-damage incidents, estimated at '$25,000+' per crash, were less common, accounting for 60 crashes (1.5%). Another 816 crashes (20.3%) fell into the '$7,500 - $25,000' damage category.
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 frequent type of crash, accounting for 1,253 incidents or 31.2% of the total. Single-vehicle, non-collision events, such as running off the road, were the second most common category with 766 incidents (19.1%). Broadside collisions were also prevalent, occurring in 734 crashes (18.3%).
Manner of Collision
"Other" combines 3 smaller categories (118 records): Other (explain in narrative) (57), Rear to side (45), Rear to rear (16).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Pre-Crash Driver Action
Among the 7,583 vehicles involved in crashes, the most common pre-crash action was moving straight ahead, reported for 3,973 vehicles. Turning left was the next most frequent action, with 834 vehicles engaged in this maneuver before impact. Slowing or stopping was the third most common action, noted for 571 vehicles.
Pre-Crash Driver Action
Showing top 9 of 19 reported. 10 additional (191 total) not shown: Overtaking/passing, Entering traffic lane (merging), Negotiating a curve, Leaving traffic lane, Accelerating in road, Starting in road, Making U-turn, Illegally Parked/Unattended, 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 64 non-motorists (pedestrians and cyclists) involved in crashes, the most common action at the time of the incident was entering or crossing the roadway. This action was recorded for 45 of the individuals. Other actions, such as moving along the roadway or on a sidewalk, were reported in much smaller numbers.
Pedestrian/Cyclist Action
Showing top 9 of 10 reported. 1 additional (1 total) not shown: Approaching or leaving vehicle.
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 9,168 people involved in crashes, the vast majority (8,762, or 95.6%) were drivers. Passengers constituted the next largest group with 342 individuals. The data also includes 38 pedestrians and 24 bicyclists who were involved in traffic incidents.
Person Type
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Person Injury Severity
Out of 9,168 total persons involved in crashes, 1,369 sustained an injury and 21 were killed. The injuries included 63 serious injuries, 352 minor injuries, and 954 possible injuries. These figures highlight the human impact of the reported traffic incidents.
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 1,093 vehicle occupants for whom safety equipment use was recorded, 976 (89.3%) were noted as using a shoulder and lap belt. A total of 74 occupants, representing 6.8% of this group, were recorded as using no safety equipment at the time of the crash.
Occupant Safety Equipment
"Other" combines 2 smaller categories (5 records): Other (3), Child safety seat (type unknown) (2).
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 common type of incident, accounting for 2,897 crashes or 72.1% of the total. Single-vehicle crashes were the next most frequent, with 816 incidents (20.3%). Crashes involving three or more vehicles were less common, making up 7.6% of all reported incidents.
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: 4,018
- Total persons involved: 9,168
- Total vehicles involved: 7,583
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