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CRASH INTELLIGENCE REPORT · IOWA, IA · FEBRUARY 2015
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GET: https://thatcarhitme.com/api/crash-data/reports/data/iowa/statewide/february-2015-report
Monthly Traffic Safety Analysis
4,425 CRASHES IN
IOWA, IA
FEBRUARY 2015
In February 2015, Iowa recorded 4,425 traffic crashes, resulting in 18 fatalities and 1,245 injuries. These incidents included 16 fatal crashes and 122 crashes involving a driver under the influence of alcohol or drugs. The most frequently cited contributing factor to these crashes was 'Driving too fast for conditions,' which was identified in 572 incidents, accounting for 12.9% of all crashes.
4,425
Total Crash Events
18
Persons Killed
1,245
Persons Injured
16
Fatal Crash Events
Note: "Persons Killed" (18) counts individual fatalities across all crash events. "Fatal" in the severity table below (16) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-02-01 to 2015-02-28 · Aggregate counts from crash, person, and vehicle records
Vulnerable Road User Casualties
Of the 1,263 people killed or injured in crashes, the vast majority were motorists. A total of 17 motorists were killed and 1,208 were injured. One pedestrian fatality and 32 pedestrian injuries were recorded. No bicyclists were killed, but five sustained injuries.
1
Pedestrians Killed
0
Cyclists Killed
17
Motorists Killed
32
Pedestrians Injured
5
Cyclists Injured
1,208
Motorists Injured
Source: Iowa Crash Data · ArcGIS Open Data · 2015-02-01 to 2015-02-28 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
Crash frequency peaked midweek, with Wednesday recording the highest number of incidents at 913. The afternoon commute represented the most dangerous time of day, with the hour from 4:00 p.m. to 4:59 p.m. seeing a peak of 379 crashes. A majority of collisions, 2,935 in total, occurred during daylight hours.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-02-01 to 2015-02-28 · Crash date field aggregated by weekday
Source: Iowa Crash Data · ArcGIS Open Data · 2015-02-01 to 2015-02-28 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The vast majority of crashes, 76.2% (3,374 incidents), resulted in no injuries. Injury-involved crashes accounted for 23.8% of the total, including 58 serious injury crashes, 282 minor injury crashes, and 695 possible injury crashes. A total of 16 crashes were fatal, which resulted in the deaths of 18 individuals.
Severity is per crash event (most severe injury). 16 fatal crash events resulted in 18 persons killed.
Outcome by Severity (Crash Events)
Source: Iowa Crash Data · ArcGIS Open Data · 2015-02-01 to 2015-02-28 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Iowa Crash Data · ArcGIS Open Data · 2015-02-01 to 2015-02-28 · Most severe injury per crash record
Top Contributing Factors
The leading contributing factor identified in crashes was 'Driving too fast for conditions,' cited in 572 incidents (12.9%). This was followed by 'Followed too close' with 353 crashes (8.0%) and 'Ran off road - left' with 351 crashes (7.9%). Collisions involving an animal were also notable, contributing to 276 crashes.
Officer-Reported Primary Contributing Cause
Source: Iowa Crash Data · ArcGIS Open Data · 2015-02-01 to 2015-02-28 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
While adverse conditions were a factor in many incidents, a significant portion of crashes occurred in favorable weather. Clear weather was reported in 2,431 crashes (54.9%), and daylight conditions were present for 2,935 crashes (66.3%). However, road surface conditions played a major role, with 1,149 crashes on snow and 549 on ice, compared to 1,887 on dry roads.
Weather
Source: Iowa Crash Data · ArcGIS Open Data · 2015-02-01 to 2015-02-28 · Weather condition at time of crash
Lighting
Source: Iowa Crash Data · ArcGIS Open Data · 2015-02-01 to 2015-02-28 · Lighting condition field
Road Surface
Source: Iowa Crash Data · ArcGIS Open Data · 2015-02-01 to 2015-02-28 · Road surface condition field
Vehicles & Demographics
Analysis of the 9,248 people involved in crashes shows the highest representation among individuals aged 26-34 (1,541 people), followed by the 35-44 age group (1,395 people). Among the 7,875 vehicles involved, the most frequent makes were Chevrolet (1,502 vehicles), Ford (1,296 vehicles), and Dodge (647 vehicles).
Top Vehicle Makes (7,875 vehicles)
Source: Iowa Crash Data · ArcGIS Open Data · 2015-02-01 to 2015-02-28 · Vehicle unit records
796 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (6,828 persons with recorded sex)
Source: Iowa Crash Data · ArcGIS Open Data · 2015-02-01 to 2015-02-28 · Person-level records linked to crash events
Major Cause
The most common major cause assigned to crashes was 'Driving too fast for conditions,' accounting for 572 incidents. 'Followed too close' was the second leading cause with 353 crashes, followed closely by 'Ran off road - left' with 351 crashes. Collisions with animals were the fourth-most-common cause, noted in 276 crashes.
Major Cause
Showing top 9 of 49 reported. 40 additional (1,348 total) not shown: Ran Traffic Signal, Ran Stop Sign, FTYROW: From driveway, Operating vehicle in an reckless, erratic, careless, negligent manner, Made improper turn, FTYROW: At uncontrolled intersection, Swerving/Evasive Action, Improper or erratic lane changing, Driver Distraction: Other interior distraction, Driver Distraction: Exterior distraction, FTYROW: Other (explain in narrative), Driver Distraction: Inattentive/lost in thought, FTYROW: From yield sign, Other (explain in narrative): No improper action, FTYROW: From parked position, Failed to keep in proper lane, Improper Backing, Ran off road - right, Passing: Other passing (explain in narrative), Exceeded authorized speed, Traveling wrong way or on wrong side of road, Other (explain in narrative): Vision obstructed, Driver Distraction: Passenger, Driver Distraction: Reaching for object(s)/fallen object(s), Crossed centerline (undivided), Driver Distraction: Adjusting devices (radio, climate), FTYROW: To pedestrian, Driver Distraction: Talking on a hand-held device, Aggressive driving/road rage, Driver Distraction: Other electronic device activity, Driver Distraction: Manual operation of an electronic communication device, Illegally Parked/Unattended, Failed to yield to emergency vehicle, Equipment failure, FTYROW: Making right turn on red signal, Cargo/equipment loss or shift, Other (explain in narrative): Disregarded signs/road markings, Passing: With insufficient distance/inadequate visibility, Operator inexperience, Passing: Through/around barrier.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-02-01 to 2015-02-28 · Crash-level records
First Harmful Event
The most frequent first harmful event was a 'Collision with: Vehicle in traffic,' which occurred in 2,847 crashes, representing 64.3% of all incidents. Single-vehicle events were also common, with the leading types being collisions with an animal (275 crashes), running into a ditch (175 crashes), and vehicle overturns or rollovers (148 crashes).
First Harmful Event
Showing top 9 of 48 reported. 39 additional (509 total) not shown: Collision with fixed object: Tree, Collision with fixed object: Curb/island/raised median, Collision with: Non-motorist (see non-motorist section - NOT a unit), Miscellaneous events: Hit and run, Other (explain in narrative), Collision with fixed object: Traffic sign support, Collision with fixed object: Guardrail - face, Non-collision events: Other non-collision (explain in narrative), Collision with fixed object: Bridge/bridge rail parapet, Collision with fixed object: Fence, Collision with fixed object: Other post/pole/support (explain in narrative), Non-collision events: Jackknife, Collision with fixed object: Snow bank, Collision with: Struck/struck by object/cargo/person from other vehicle, Non-collision events: Non-contact vehicle (phantom), Collision with fixed object: Embankment, Collision with fixed object: Fire hydrant, Collision with: Other non-fixed object (explain in narrative), Collision with fixed object: Mailbox, Non-collision events: Vehicle went airborne, Collision with fixed object: Guardrail - end, Collision with fixed object: Building, Collision with: Thrown or falling object, Collision with fixed object: Other fixed object (explain in narrative), Collision with fixed object: Bridge overhead structure, Collision with: Railway vehicle/train, Miscellaneous events: Eluding law enforcement, Collision with fixed object: Wall, Collision with fixed object: Traffic signal support, Miscellaneous events: Vehicle out of gear/rolled, Collision with fixed object: Other traffic barrier (explain in narrative), Miscellaneous events: Immersion, Collision with fixed object: Culvert/pipe opening, Collision with fixed object: Landscape/shrubbery, Collision with fixed object: Ground, Non-collision events: Fell/jumped from vehicle, Collision with: Work zone maintenance equipment, Collision with fixed object: Bridge pier or support, Collision with fixed object: Impact attenuator/crash cushion.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-02-01 to 2015-02-28 · Crash-level records
Roadway Junction / Feature
Crashes were more likely to occur away from intersections, with 2,075 incidents (46.9%) happening at non-junction locations. Four-way intersections were the most common type of junction for crashes, accounting for 1,236 incidents. T-intersections were the site of 324 crashes.
Roadway Junction / Feature
Showing top 9 of 23 reported. 14 additional (158 total) not shown: Interchange-related: Off-ramp, Interchange-related: Off-ramp, diverge area, Non-intersection: Alley, Non-intersection: Railroad grade crossing, Non-intersection: Crossover-related, Intersection: Y-intersection, Intersection: L-intersection, Interchange-related: Mainline, between ramps, Interchange-related: On-ramp, Intersection: Roundabout, Non-intersection: Bike lanes, Interchange-related: Other interchange (explain in narrative), Intersection: Five points or more, Intersection: Traffic circle.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-02-01 to 2015-02-28 · Crash-level records
Vehicle Type
Passenger cars were the most common vehicle type involved in crashes, accounting for 3,828 of the 7,875 vehicles. Sport utility vehicles were the second-most common with 1,616 involved, followed by four-tire light trucks and pickups at 1,222. Tractor/semi-trailers were involved in 246 crashes.
Vehicle Type
"Other" combines 21 smaller categories (195 records): Single-unit truck (>= 3 axles) (52), School bus (seats > 15) (28), Other bus (seats > 15) (19), Maintenance/construction vehicle (17), Other (explain in narrative) (14), Passenger van (seats 9-15) (11), Other light truck (<=10000 lbs) (8), Snowmobile (7), Truck/trailer (6), Truck tractor (bobtail) (6), All-terrain vehicle (ATV) (4), Farm equipment (explain in narrative) (4), Tractor/doubles (4), Train (4), Other small bus (seats 9-15) (3), Small school bus (seats 9-15) (2), Other heavy truck (> 10000 lbs) (cannot classify) (2), Limousine/taxi (seats 8 or less) (1), Limousine/taxi (seats 9-15) (1), Motorcycle (1), Farm tractor (1).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-02-01 to 2015-02-28 · Vehicle unit records
Traffic Control Device
Data on vehicles involved in crashes shows that 4,656 were in areas with 'No controls present.' For crashes where traffic controls were a factor, traffic signals were present for 1,795 vehicles and stop signs were present for 880 vehicles. Yield signs were a factor for 50 vehicles.
Traffic Control Device
"Other" combines 7 smaller categories (63 records): Flashing traffic control signal (19), No Passing Zone (marked) (19), Work zone sign (9), Traffic director (person) (8), School zone signs (6), Inoperative (not functioning properly) (1), Traffic sign missing (1).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-02-01 to 2015-02-28 · Vehicle unit records
Most Damaged Area
The front of the vehicle was the most common area of impact, recorded as the most damaged area for 2,007 vehicles. The rear was the second-most common point of damage, recorded for 903 vehicles, suggesting a high number of rear-end collisions. Damage to the driver-side and passenger-side middle areas was noted on 492 and 416 vehicles, respectively, indicative of angle or sideswipe crashes.
Most Damaged Area
"Other" combines 10 smaller categories (1,650 records): Passenger side - front (330), Driver side - rear (282), Passenger side - rear (280), Rear - driver side corner (274), Rear - passenger side corner (183), Top (142), Other (explain in narrative) (79), Non-collision/no damage (42), Undercarriage (36), Cargo loss (2).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-02-01 to 2015-02-28 · Vehicle unit records
Impairment (Alcohol / Drugs)
A total of 122 crashes, or 2.8% of all incidents, were recorded as involving an impaired driver. Among the 125 drivers identified as impaired, alcohol was the sole factor for 112 drivers. Drugs were a factor for 7 drivers, and a combination of alcohol and drugs was noted for 6 drivers.
Crashes by County
Crash distribution was concentrated in the state's most populous counties. Polk County alone accounted for 811 crashes, representing 18.3% of the statewide total. The top five counties—Polk, Scott (325 crashes), Linn (267), Johnson (256), and Black Hawk (251)—collectively made up 43.2% of all crashes in Iowa for the month.
Crashes by County
Showing top 9 of 50 reported. 41 additional (1,432 total) not shown: DALLAS, CERRO GORDO, DES MOINES, WEBSTER, CLINTON, LEE, MARSHALL, MUSCATINE, JASPER, CEDAR, WARREN, MARION, WAPELLO, MAHASKA, IOWA, BOONE, SIOUX, BREMER, POWESHIEK, WINNESHIEK, CASS, FLOYD, HARDIN, PLYMOUTH, HAMILTON, WASHINGTON, HENRY, BUENA VISTA, PAGE, TAMA, HARRISON, DELAWARE, JONES, MADISON, CLAYTON, HUMBOLDT, BUCHANAN, BENTON, CLAY, APPANOOSE, GREENE.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-02-01 to 2015-02-28 · Crash-level records
Crashes by City
The highest crash volumes were reported in Iowa's largest cities. Des Moines led with 439 crashes, followed by Davenport with 237, Cedar Rapids with 177, and Sioux City with 164. Waterloo and Dubuque also reported high volumes, with 144 and 146 crashes respectively.
Crashes by City
Showing top 9 of 50 reported. 41 additional (1,167 total) not shown: WEST DES MOINES, CEDAR FALLS, ANKENY, FORT DODGE, BURLINGTON, URBANDALE, CORALVILLE, MASON CITY, CLINTON, BETTENDORF, MARSHALLTOWN, CLIVE, MARION, OTTUMWA, ALTOONA, FORT MADISON, MUSCATINE, OSKALOOSA, CHARLES CITY, BOONE, KEOKUK, WAUKEE, DECORAH, WEBSTER CITY, LE MARS, NEWTON, WAVERLY, INDIANOLA, SPENCER, GRIMES, FAIRFIELD, CLARINDA, NORTH LIBERTY, HIAWATHA, WEST BURLINGTON, EVANSDALE, HUMBOLDT, KNOXVILLE, HAMPTON, OSCEOLA, STORM LAKE.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-02-01 to 2015-02-28 · Crash-level records
Paved vs Unpaved Road
The overwhelming majority of crashes occurred on paved roadways, with 4,269 incidents reported. Crashes on unpaved surfaces like gravel or dirt roads were much less frequent, accounting for 134 incidents, or approximately 3.0% of crashes where the surface type was specified.
Paved vs Unpaved Road
Source: Iowa Crash Data · ArcGIS Open Data · 2015-02-01 to 2015-02-28 · Crash-level records
Roadway Contributing Factor
Roadway-related contributing factors were noted in a minority of crashes, but surface condition was the most significant when present. 'Surface condition (e.g. wet, icy)' was cited as a factor in 1,336 crashes, aligning with the winter month. 'Slippery, loose or worn surface' was a distant second with 54 crashes, while work zones were a factor in 9 crashes.
Roadway Contributing Factor
Showing top 9 of 13 reported. 4 additional (10 total) not shown: Disabled vehicle, Obstruction in roadway, Traffic control obscured, Non-highway work.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-02-01 to 2015-02-28 · Crash-level records
Driver Condition
Among drivers for whom a condition other than 'apparently normal' was recorded, impairment was the most common. A total of 135 drivers were noted as being 'Under the influence of alcohol.' The second-most cited condition was 'Asleep/fatigued,' which was recorded for 45 drivers, followed by emotional distress for 24 drivers.
Driver Condition
Showing top 9 of 11 reported. 2 additional (2 total) not shown: Hearing impaired/deaf, Walks with a cane/crutches.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-02-01 to 2015-02-28 · Crash-level records
Crashes by Iowa DOT District
Crash distribution varied significantly across Iowa's six DOT districts. District 1, which includes the Des Moines metro area, had the highest number of crashes with 1,296. District 6, covering eastern Iowa including Cedar Rapids and Davenport, followed closely with 1,253 crashes. Together, these two districts accounted for over 57% of all crashes.
Crashes by Iowa DOT District
Source: Iowa Crash Data · ArcGIS Open Data · 2015-02-01 to 2015-02-28 · Crash-level records
Property Damage
The most common estimated cost of property damage fell into the '$1,500 - $7,500' category, which applied to 3,339 crashes. A smaller number of incidents resulted in severe damage, with 906 crashes estimated between $7,500 and $25,000, and 83 crashes exceeding $25,000 in property damage.
Property Damage
Source: Iowa Crash Data · ArcGIS Open Data · 2015-02-01 to 2015-02-28 · Crash-level records
Manner of Collision
Crashes were almost evenly split between single-vehicle incidents and multi-vehicle collisions. Non-collision single-vehicle events, such as running off the road, accounted for 1,065 crashes (24.1%). Rear-end collisions were the most common type of crash between vehicles, with 1,062 incidents (24.0%), followed by broadside collisions with 967 incidents (21.9%).
Manner of Collision
"Other" combines 3 smaller categories (173 records): Other (explain in narrative) (80), Rear to side (79), Rear to rear (14).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-02-01 to 2015-02-28 · Crash-level records
Pre-Crash Driver Action
The vast majority of vehicles involved in collisions were engaged in 'Movement essentially straight' prior to the crash, a pre-crash action recorded for 4,580 vehicles. Turning left was the second-most common action, noted for 731 vehicles, while 470 vehicles were in the process of slowing or stopping.
Pre-Crash Driver Action
Showing top 9 of 19 reported. 10 additional (264 total) not shown: Overtaking/passing, Negotiating a curve, Entering traffic lane (merging), Accelerating in road, Illegally Parked/Unattended, Leaving traffic lane, Starting in road, Making U-turn, Leaving a parked position, Entering a parked position.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-02-01 to 2015-02-28 · Vehicle unit records
Pedestrian/Cyclist Action
For the 33 pedestrians involved in crashes, the most common action was 'Entering or crossing roadway,' which was recorded for 20 individuals. Other actions included moving along the roadway with traffic (4 pedestrians) and working in the trafficway (2 pedestrians).
Pedestrian/Cyclist Action
Showing top 9 of 10 reported. 1 additional (1 total) not shown: Playing on or working on vehicle.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-02-01 to 2015-02-28 · Non-motorist records linked to crash events
Person Type
Of the 9,248 individuals involved in crashes during this period, the great majority were drivers (8,907 people). Passengers accounted for 303 of the individuals involved. A smaller number of vulnerable road users were documented, including 33 pedestrians and 5 bicyclists.
Person Type
Source: Iowa Crash Data · ArcGIS Open Data · 2015-02-01 to 2015-02-28 · Crash-level records
Person Injury Severity
Among all 9,248 people involved in crashes, 18 sustained fatal injuries and 73 received serious injuries. An additional 356 people had minor injuries and 816 had possible injuries. The data shows that 1,245 individuals sustained some level of injury.
Person Injury Severity
Source: Iowa Crash Data · ArcGIS Open Data · 2015-02-01 to 2015-02-28 · Crash-level records
Occupant Safety Equipment
Among the subset of 1,002 vehicle occupants for whom safety equipment use was recorded, 891 (88.9%) were using a shoulder and lap belt. A total of 74 individuals (7.4%) were documented as using no safety equipment at all. Child safety seats were in use by 15 occupants.
Occupant Safety Equipment
"Other" combines 4 smaller categories (7 records): Booster seat (2), Helmet (DOT compliant) (2), Child safety seat (rear-facing) (2), Child safety seat (type unknown) (1).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-02-01 to 2015-02-28 · Person-level records linked to crash events
Vehicles Per Crash
Two-vehicle collisions were the most common type of crash, accounting for 2,990 incidents (67.6%). Single-vehicle crashes were the next most frequent, with 1,223 incidents (27.6%). Crashes involving three or more vehicles were less common, with 212 such events recorded.
Vehicles Per Crash
Source: Iowa Crash Data · ArcGIS Open Data · 2015-02-01 to 2015-02-28 · 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: 2015-02-01 through 2015-02-28
- Report generated: September 9, 2026
Data Coverage
- Reporting period: 2015-02-01 through 2015-02-28 (28 days)
- Geographic scope: iowa, IA
- Total crash records analyzed: 4,425
- Total persons involved: 9,248
- Total vehicles involved: 7,875
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: February 2015." Published September 9, 2026. Reporting period: 2015-02-01 to 2015-02-28. Data source: Iowa Crash Data, ArcGIS Open Data. Available at: https://thatcarhitme.com/crash-data/iowa/statewide/february-2015-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: 2015-02-01 – 2015-02-28
Generated: September 9, 2026 · All rights reserved