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CRASH INTELLIGENCE REPORT · IOWA, IA · SEPTEMBER 2015
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GET: https://thatcarhitme.com/api/crash-data/reports/data/iowa/statewide/september-2015-report
Monthly Traffic Safety Analysis
4,402 CRASHES IN
IOWA, IA
SEPTEMBER 2015
In September 2015, Iowa recorded 4,402 traffic crashes, resulting in 29 fatalities and 1,820 injuries. These incidents involved 9,821 individuals and 7,862 vehicles across the state. A notable finding from the data is the near-equal prevalence of single-vehicle non-collision incidents and rear-end collisions, which together accounted for over half of all crashes.
4,402
Total Crash Events
29
Persons Killed
1,820
Persons Injured
25
Fatal Crash Events
Note: "Persons Killed" (29) counts individual fatalities across all crash events. "Fatal" in the severity table below (25) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-09-01 to 2015-09-30 · Aggregate counts from crash, person, and vehicle records
Vulnerable Road User Casualties
During this period, 29 people were killed and 1,820 were injured in traffic crashes. Motorists comprised the largest group of casualties, with 24 killed and 1,714 injured. Vulnerable road users also suffered significant harm, with 4 pedestrians killed and 46 injured, and 1 cyclist killed and 55 injured.
4
Pedestrians Killed
1
Cyclists Killed
24
Motorists Killed
0
Other Killed
46
Pedestrians Injured
55
Cyclists Injured
1,714
Motorists Injured
5
Other Injured
Source: Iowa Crash Data · ArcGIS Open Data · 2015-09-01 to 2015-09-30 · 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 804. The afternoon commute was the most hazardous time of day, with the 3 p.m. hour seeing a peak of 391 crashes. While the majority of collisions occurred during daylight hours (3,096), a significant number also happened in darkness (806).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-09-01 to 2015-09-30 · Crash date field aggregated by weekday
Source: Iowa Crash Data · ArcGIS Open Data · 2015-09-01 to 2015-09-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Of the 4,402 total crashes, 66.3% (2,917) resulted in no injuries, involving only property damage. The remaining 33.7% of crashes involved some level of injury, including 25 fatal crashes. These 25 incidents resulted in a total of 29 fatalities, highlighting that a single crash can lead to multiple deaths.
Severity is per crash event (most severe injury). 25 fatal crash events resulted in 29 persons killed.
Outcome by Severity (Crash Events)
Source: Iowa Crash Data · ArcGIS Open Data · 2015-09-01 to 2015-09-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Iowa Crash Data · ArcGIS Open Data · 2015-09-01 to 2015-09-30 · Most severe injury per crash record
Top Contributing Factors
The leading contributing factor cited in crashes was 'Followed too close,' attributed to 576 incidents or 13.1% of the total. Collisions involving an animal were the second most common factor, with 402 incidents. Other significant factors included failure to yield right-of-way from a stop sign (267 incidents) and drivers losing control of their vehicle (244 incidents).
Officer-Reported Primary Contributing Cause
Source: Iowa Crash Data · ArcGIS Open Data · 2015-09-01 to 2015-09-30 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
The majority of crashes occurred in ideal driving conditions. Specifically, 71.3% of crashes (3,138) happened in clear weather, 80.5% (3,543) on dry road surfaces, and 70.3% (3,096) during daylight hours. Crashes in adverse conditions were less frequent, with 329 incidents occurring during rain and 410 on wet roads.
Weather
Source: Iowa Crash Data · ArcGIS Open Data · 2015-09-01 to 2015-09-30 · Weather condition at time of crash
Lighting
Source: Iowa Crash Data · ArcGIS Open Data · 2015-09-01 to 2015-09-30 · Lighting condition field
Road Surface
Source: Iowa Crash Data · ArcGIS Open Data · 2015-09-01 to 2015-09-30 · Road surface condition field
Vehicles & Demographics
Among the 9,821 individuals involved in crashes, the 26-34 age group was the most represented, with 1,608 people. Analysis of the 7,862 vehicles involved shows that Chevrolet (1,521), Ford (1,243), and Dodge (600) were the most frequent makes recorded in collisions. These figures represent the makes of vehicles involved, not a reflection of vehicle safety or fault.
Top Vehicle Makes (7,862 vehicles)
Source: Iowa Crash Data · ArcGIS Open Data · 2015-09-01 to 2015-09-30 · Vehicle unit records
777 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (6,964 persons with recorded sex)
Source: Iowa Crash Data · ArcGIS Open Data · 2015-09-01 to 2015-09-30 · Person-level records linked to crash events
Major Cause
The most frequently cited major cause for crashes was 'Followed too close,' accounting for 576 incidents. The second leading cause was collisions with an animal, noted in 402 crashes. Other primary causes included failure to yield right-of-way from a stop sign (267 crashes), losing control of the vehicle (244 crashes), and failure to yield while making a left turn (243 crashes).
Major Cause
Showing top 9 of 49 reported. 40 additional (1,497 total) not shown: Ran Traffic Signal, Driving too fast for conditions, Operating vehicle in an reckless, erratic, careless, negligent manner, Driver Distraction: Other interior distraction, Made improper turn, FTYROW: From driveway, Other (explain in narrative): No improper action, Improper or erratic lane changing, FTYROW: Other (explain in narrative), Driver Distraction: Inattentive/lost in thought, Exceeded authorized speed, Driver Distraction: Exterior distraction, Improper Backing, Swerving/Evasive Action, FTYROW: At uncontrolled intersection, Failed to keep in proper lane, Ran off road - right, FTYROW: From yield sign, Driver Distraction: Reaching for object(s)/fallen object(s), FTYROW: From parked position, Passing: Other passing (explain in narrative), FTYROW: To pedestrian, Driver Distraction: Adjusting devices (radio, climate), Crossed centerline (undivided), Other (explain in narrative): Vision obstructed, Equipment failure, Driver Distraction: Manual operation of an electronic communication device, Driver Distraction: Passenger, Driver Distraction: Talking on a hand-held device, Aggressive driving/road rage, Traveling wrong way or on wrong side of road, Passing: With insufficient distance/inadequate visibility, Operator inexperience, Over correcting/over steering, Driver Distraction: Other electronic device activity, Failed to yield to emergency vehicle, FTYROW: Making right turn on red signal, Illegally Parked/Unattended, Passing: Where prohibited by signs/markings, Cargo/equipment loss or shift.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-09-01 to 2015-09-30 · Crash-level records
First Harmful Event
The most common first harmful event was a 'Collision with a vehicle in traffic,' which occurred in 2,754 crashes. Collisions with animals were the second most frequent event, recorded 399 times. Run-off-road incidents were also common, with crashes where the first harmful event was hitting a ditch (184) or an overturn/rollover (148) being significant contributors.
First Harmful Event
Showing top 9 of 45 reported. 36 additional (443 total) not shown: Non-collision events: Other non-collision (explain in narrative), Collision with fixed object: Curb/island/raised median, Collision with: Re-entering roadway, Collision with fixed object: Tree, Collision with fixed object: Traffic sign support, Collision with: Other non-fixed object (explain in narrative), Non-collision events: Non-contact vehicle (phantom), Collision with fixed object: Cable barrier, Collision with fixed object: Bridge/bridge rail parapet, Collision with fixed object: Building, Collision with: Struck/struck by object/cargo/person from other vehicle, Collision with fixed object: Ground, Collision with fixed object: Guardrail - face, Collision with fixed object: Embankment, Collision with fixed object: Other post/pole/support (explain in narrative), Collision with fixed object: Concrete traffic barrier (median or right side), Collision with fixed object: Fence, Collision with fixed object: Culvert/pipe opening, Non-collision events: Vehicle went airborne, Collision with fixed object: Other fixed object (explain in narrative), Collision with fixed object: Mailbox, Non-collision events: Jackknife, Non-collision events: Fell/jumped from vehicle, Collision with: Work zone maintenance equipment, Miscellaneous events: Eluding law enforcement, Collision with: Railway vehicle/train, Collision with fixed object: Guardrail - end, Collision with fixed object: Other traffic barrier (explain in narrative), Collision with fixed object: Fire hydrant, Collision with: Thrown or falling object, Collision with fixed object: Landscape/shrubbery, Miscellaneous events: Fire/explosion, Collision with fixed object: Traffic signal support, Collision with fixed object: Wall, Collision with fixed object: Bridge overhead structure, Miscellaneous events: Vehicle out of gear/rolled.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-09-01 to 2015-09-30 · Crash-level records
Roadway Junction / Feature
Crashes were more likely to occur on non-intersection road segments, which accounted for 2,048 incidents. Four-way intersections were the most common type of junction for crashes, with 1,113 incidents occurring at these locations. T-intersections were the next most frequent crash site, with 341 incidents.
Roadway Junction / Feature
Showing top 9 of 24 reported. 15 additional (159 total) not shown: Interchange-related: Off-ramp, diverge area, Interchange-related: On-ramp merge area, Non-intersection: Railroad grade crossing, Non-intersection: Alley, Interchange-related: On-ramp, Non-intersection: Crossover-related, Intersection: Y-intersection, Intersection: L-intersection, Intersection: Roundabout, Interchange-related: Mainline, between ramps, Intersection: Traffic circle, Intersection: Five points or more, Interchange-related: Other interchange (explain in narrative), Non-intersection: Bike lanes, Intersection: Shared use path or trail.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-09-01 to 2015-09-30 · Crash-level records
Vehicle Type
Passenger cars were the most common vehicle type involved in crashes, accounting for 3,821 of the vehicles. Sport utility vehicles (1,588) and four-tire light trucks or pickups (1,176) were the next most frequent. Commercial vehicles like tractor-trailers were involved in 187 crashes, while motorcycles were involved in 139 incidents.
Vehicle Type
"Other" combines 21 smaller categories (241 records): Cargo/panel van (48), Single-unit truck (>= 3 axles) (42), School bus (seats > 15) (30), Farm tractor (15), Moped (13), Truck/trailer (12), All-terrain vehicle (ATV) (9), Passenger van (seats 9-15) (9), Other light truck (<=10000 lbs) (8), Other (explain in narrative) (8), Other bus (seats > 15) (8), Motor home/recreational vehicle (7), Farm equipment (explain in narrative) (7), Truck tractor (bobtail) (6), Other small bus (seats 9-15) (4), Train (4), Golf cart (3), Maintenance/construction vehicle (3), Tractor/doubles (3), Small school bus (seats 9-15) (1), 3-wheeled, unenclosed (1).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-09-01 to 2015-09-30 · Vehicle unit records
Traffic Control Device
A majority of vehicles involved in crashes (4,461) were at locations with no traffic controls present. Where controls were present, traffic signals were the most common, associated with 1,740 vehicles in crashes. Stop signs were the next most frequent traffic control device, involved in crashes with 882 vehicles.
Traffic Control Device
"Other" combines 6 smaller categories (83 records): Flashing traffic control signal (33), Warning sign (23), Railway crossing device (14), Traffic director (person) (7), School zone signs (3), Inoperative (not functioning properly) (3).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-09-01 to 2015-09-30 · 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 2,150 vehicles. This aligns with the high number of rear-end collisions, as the rear was the second most common damage area, noted on 1,163 vehicles. Damage to the driver-side and passenger-side corners was also frequent, indicating a significant number of angle collisions.
Most Damaged Area
"Other" combines 10 smaller categories (1,612 records): Passenger side - front (325), Driver side - rear (271), Rear - driver side corner (268), Passenger side - rear (240), Rear - passenger side corner (183), Top (121), Other (explain in narrative) (118), Non-collision/no damage (50), Undercarriage (33), Cargo loss (3).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-09-01 to 2015-09-30 · Vehicle unit records
Impairment (Alcohol / Drugs)
Driver impairment was suspected or confirmed in 145 crashes, representing 3.3% of all incidents. Alcohol was the most cited impairment, involved in 131 of these crashes. Drugs were a factor in 10 crashes, and a combination of alcohol and drugs was noted in 4 crashes.
Crashes by County
Crash distribution was concentrated in the state's most populous counties. Polk County had the highest number of incidents with 805 crashes, accounting for 18.3% of the statewide total. Scott County followed with 355 crashes, and Linn County had 289 crashes.
Crashes by County
Showing top 9 of 50 reported. 41 additional (1,473 total) not shown: DES MOINES, DALLAS, CLINTON, WEBSTER, LEE, WARREN, CERRO GORDO, MARSHALL, JASPER, MUSCATINE, BOONE, WAPELLO, MARION, SIOUX, BUCHANAN, IOWA, CEDAR, WINNESHIEK, BUENA VISTA, MAHASKA, BENTON, CLAYTON, CLAY, POWESHIEK, WASHINGTON, JONES, HAMILTON, CASS, BREMER, HARRISON, JEFFERSON, HENRY, HARDIN, TAMA, FAYETTE, KOSSUTH, APPANOOSE, DELAWARE, PLYMOUTH, CLARKE, MILLS.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-09-01 to 2015-09-30 · Crash-level records
Crashes by City
The highest crash volumes were recorded in Iowa's major cities. Des Moines led with 463 crashes, followed by Davenport with 256, Cedar Rapids with 176, and Sioux City with 171. These urban centers accounted for a significant portion of the total statewide crashes.
Crashes by City
Showing top 9 of 50 reported. 41 additional (1,065 total) not shown: ANKENY, WEST DES MOINES, BETTENDORF, URBANDALE, MARION, BURLINGTON, FORT DODGE, CLINTON, MASON CITY, CORALVILLE, CEDAR FALLS, MUSCATINE, MARSHALLTOWN, OTTUMWA, CLIVE, BOONE, INDIANOLA, FORT MADISON, OSKALOOSA, SPENCER, STORM LAKE, PLEASANT HILL, KEOKUK, WAUKEE, ALTOONA, HIAWATHA, INDEPENDENCE, WEST BURLINGTON, GRIMES, MOUNT PLEASANT, ALGONA, DECORAH, NEWTON, FAIRFIELD, PELLA, ATLANTIC, NORTH LIBERTY, JOHNSTON, OSCEOLA, OELWEIN, GRINNELL.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-09-01 to 2015-09-30 · Crash-level records
Paved vs Unpaved Road
The vast majority of crashes, 4,146 incidents, occurred on paved roadways. However, a notable number of crashes, 238 in total or 5.4% of the subset, occurred on Iowa's unpaved road network. This highlights the distinct risk environment presented by gravel and dirt roads in the state.
Paved vs Unpaved Road
Source: Iowa Crash Data · ArcGIS Open Data · 2015-09-01 to 2015-09-30 · Crash-level records
Roadway Contributing Factor
In a minority of crashes, a roadway factor was noted as a contributor. The most common factor was the road surface condition, such as being wet or icy, cited in 111 crashes. Work zones were the second most frequent roadway-related factor, contributing to 92 crashes.
Roadway Contributing Factor
Showing top 9 of 12 reported. 3 additional (5 total) not shown: Obstruction in roadway, Traffic backup, prior non-recurring incident, Non-highway work.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-09-01 to 2015-09-30 · Crash-level records
Driver Condition
While most drivers were recorded as 'apparently normal,' several other conditions were noted. The most frequent was 'under the influence of alcohol' with 176 drivers. Other notable conditions included 'asleep/fatigued' (61 drivers) and 'emotional' (49 drivers), indicating that driver state plays a role in a subset of crashes.
Driver Condition
Showing top 9 of 12 reported. 3 additional (6 total) not shown: Impaired due to previous injury, Visually impaired, Hearing impaired/deaf.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-09-01 to 2015-09-30 · Crash-level records
Crashes by Iowa DOT District
Crash distribution across Iowa DOT's maintenance districts was uneven, reflecting population and traffic density. District 1, which includes the Des Moines metro area, recorded the highest number of crashes with 1,308. District 6, covering eastern Iowa including Cedar Rapids and Davenport, was a close second with 1,238 crashes.
Crashes by Iowa DOT District
Source: Iowa Crash Data · ArcGIS Open Data · 2015-09-01 to 2015-09-30 · Crash-level records
Property Damage
The most common estimated property damage cost was in the '$1,500 - $7,500' range, which applied to 3,097 crashes. A smaller but significant number of incidents resulted in more severe financial loss, with 982 crashes causing damage between $7,500 and $25,000, and 109 crashes exceeding $25,000 in property damage.
Property Damage
Source: Iowa Crash Data · ArcGIS Open Data · 2015-09-01 to 2015-09-30 · Crash-level records
Manner of Collision
The data shows a near-even split for the most common crash types. Non-collision, single-vehicle incidents (such as rollovers or running off the road) accounted for 1,269 crashes (28.8%). Rear-end collisions were almost identically frequent, with 1,268 incidents (28.8%). Broadside collisions were the next most common type, accounting for 732 crashes or 16.6% of the total.
Manner of Collision
"Other" combines 3 smaller categories (168 records): Sideswipe, opposite direction (78), Other (explain in narrative) (76), Rear to rear (14).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-09-01 to 2015-09-30 · Crash-level records
Pre-Crash Driver Action
The vast majority of vehicles involved in crashes were moving straight ahead prior to the collision, an action recorded for 4,435 vehicles. Turning left was the second most common pre-crash maneuver, noted for 773 vehicles, followed by slowing or stopping, which was recorded for 525 vehicles.
Pre-Crash Driver Action
Showing top 9 of 19 reported. 10 additional (278 total) not shown: Negotiating a curve, Entering traffic lane (merging), Overtaking/passing, Accelerating in road, Illegally Parked/Unattended, Making U-turn, Starting in road, Leaving traffic lane, Leaving a parked position, Entering a parked position.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-09-01 to 2015-09-30 · Vehicle unit records
Pedestrian/Cyclist Action
For crashes involving non-motorists, the most frequently recorded action was 'Entering or crossing roadway,' which was documented in 72 incidents. The second most common circumstance was a non-motorist moving along the roadway with traffic, which occurred 15 times.
Pedestrian/Cyclist Action
Source: Iowa Crash Data · ArcGIS Open Data · 2015-09-01 to 2015-09-30 · Non-motorist records linked to crash events
Person Type
Of the 9,821 total individuals involved in crashes, the overwhelming majority were drivers (9,318). Passengers accounted for 391 individuals. The data also includes 56 bicyclists and 50 pedestrians who were involved in collisions during this period.
Person Type
Source: Iowa Crash Data · ArcGIS Open Data · 2015-09-01 to 2015-09-30 · Crash-level records
Person Injury Severity
Among all persons involved, 29 suffered fatal injuries (K) and 152 sustained serious injuries (A). An additional 619 persons had minor injuries (B) and 1,049 had possible injuries (C). In total, 1,849 individuals were either injured or killed in these traffic incidents.
Person Injury Severity
Source: Iowa Crash Data · ArcGIS Open Data · 2015-09-01 to 2015-09-30 · Crash-level records
Occupant Safety Equipment
Among vehicle occupants for whom safety equipment use was recorded, 1,126 were noted as using both a shoulder and lap belt. Conversely, 175 individuals were recorded as using no restraints at all. The use of child safety seats was documented in 24 cases, including forward-facing, rear-facing, and booster seats.
Occupant Safety Equipment
"Other" combines 4 smaller categories (18 records): Other (6), Booster seat (5), Helmet (other) (5), Child safety seat (rear-facing) (2).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-09-01 to 2015-09-30 · Person-level records linked to crash events
Vehicles Per Crash
Two-vehicle collisions were the most common scenario, accounting for 2,817 separate incidents. Single-vehicle crashes were the second most frequent type, with 1,294 occurrences. Crashes involving three or more vehicles were less common, with 235 three-vehicle incidents and 42 four-vehicle incidents recorded.
Vehicles Per Crash
Source: Iowa Crash Data · ArcGIS Open Data · 2015-09-01 to 2015-09-30 · 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: 2015-09-01 through 2015-09-30
- Report generated: September 9, 2026
Data Coverage
- Reporting period: 2015-09-01 through 2015-09-30 (30 days)
- Geographic scope: iowa, IA
- Total crash records analyzed: 4,402
- Total persons involved: 9,821
- Total vehicles involved: 7,862
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: September 2015." Published September 9, 2026. Reporting period: 2015-09-01 to 2015-09-30. Data source: Iowa Crash Data, ArcGIS Open Data. Available at: https://thatcarhitme.com/crash-data/iowa/statewide/september-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: 2015-09-01 – 2015-09-30
Generated: September 9, 2026 · All rights reserved