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CRASH INTELLIGENCE REPORT · IOWA, IA · OCTOBER 2015
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GET: https://thatcarhitme.com/api/crash-data/reports/data/iowa/statewide/october-2015-report
Monthly Traffic Safety Analysis
5,159 CRASHES IN
IOWA, IA
OCTOBER 2015
In October 2015, Iowa recorded 5,159 traffic crashes, resulting in 24 fatalities and 1,783 injuries. These incidents involved 8,714 vehicles and 10,646 individuals. Notably, collisions with animals were the leading contributing factor, cited in 1,029 crashes, representing nearly 20% of all incidents for the month.
5,159
Total Crash Events
24
Persons Killed
1,783
Persons Injured
23
Fatal Crash Events
Note: "Persons Killed" (24) counts individual fatalities across all crash events. "Fatal" in the severity table below (23) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-10-01 to 2015-10-31 · Aggregate counts from crash, person, and vehicle records
Vulnerable Road User Casualties
Motorists constituted the largest group of casualties, with 19 individuals killed and 1,679 injured. Among vulnerable road users, four pedestrians were killed and 61 were injured. No cyclists were killed, but 38 sustained injuries during this period.
4
Pedestrians Killed
0
Cyclists Killed
19
Motorists Killed
1
Other Killed
61
Pedestrians Injured
38
Cyclists Injured
1,679
Motorists Injured
5
Other Injured
Source: Iowa Crash Data · ArcGIS Open Data · 2015-10-01 to 2015-10-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
Crash frequency peaked on Friday with 1,071 incidents, making it the most common day for collisions. The afternoon commute hour of 3 p.m. was the single busiest hour, with 402 crashes recorded. Overall, crashes were most prevalent during daytime hours, with 2,965 incidents occurring in daylight conditions.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-10-01 to 2015-10-31 · Crash date field aggregated by weekday
Source: Iowa Crash Data · ArcGIS Open Data · 2015-10-01 to 2015-10-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The majority of crashes, 3,702 incidents or 71.8%, resulted in no injuries. However, 1,434 crashes involved at least one injury, categorized as possible, minor, or serious. There were 23 distinct fatal crashes during this period, which resulted in a total of 24 fatalities, as a single crash can involve more than one death.
Severity is per crash event (most severe injury). 23 fatal crash events resulted in 24 persons killed.
Outcome by Severity (Crash Events)
Source: Iowa Crash Data · ArcGIS Open Data · 2015-10-01 to 2015-10-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Iowa Crash Data · ArcGIS Open Data · 2015-10-01 to 2015-10-31 · Most severe injury per crash record
Top Contributing Factors
The most significant contributing factor identified in crash reports was the presence of an animal, which was cited in 1,029 incidents (19.9%). Following this, tailgating was a major issue, with 'Followed too close' listed as the cause in 528 crashes (10.2%). Failure to yield the right-of-way from a stop sign was the third-leading factor, contributing to 293 crashes.
Officer-Reported Primary Contributing Cause
Source: Iowa Crash Data · ArcGIS Open Data · 2015-10-01 to 2015-10-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
The vast majority of collisions occurred in ideal driving conditions. Specifically, 3,094 crashes (59.9%) happened in clear weather and 3,681 (71.4%) on dry road surfaces. Crashes during daylight hours accounted for 2,965 incidents (57.5%), indicating that most collisions were not related to adverse environmental factors.
Weather
Source: Iowa Crash Data · ArcGIS Open Data · 2015-10-01 to 2015-10-31 · Weather condition at time of crash
Lighting
Source: Iowa Crash Data · ArcGIS Open Data · 2015-10-01 to 2015-10-31 · Lighting condition field
Road Surface
Source: Iowa Crash Data · ArcGIS Open Data · 2015-10-01 to 2015-10-31 · Road surface condition field
Vehicles & Demographics
Among persons involved in crashes, the 26-34 age group was the most represented, with 1,703 individuals. Analysis of the 8,714 vehicles involved shows that Chevrolet (1,748 vehicles), Ford (1,397 vehicles), and Toyota (655 vehicles) were the most frequent makes recorded in crash reports. These figures represent the vehicles involved, not a reflection of market share.
Top Vehicle Makes (8,714 vehicles)
Source: Iowa Crash Data · ArcGIS Open Data · 2015-10-01 to 2015-10-31 · Vehicle unit records
805 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (7,752 persons with recorded sex)
Source: Iowa Crash Data · ArcGIS Open Data · 2015-10-01 to 2015-10-31 · Person-level records linked to crash events
Major Cause
The leading major cause of crashes was attributed to animals, accounting for 1,029 incidents. The second most common cause was 'Followed too close,' cited in 528 crashes. 'Failure to yield right-of-way from a stop sign' was the third-leading cause, contributing to 293 collisions.
Major Cause
Showing top 9 of 49 reported. 40 additional (1,635 total) not shown: Ran Stop Sign, Driving too fast for conditions, Driver Distraction: Other interior distraction, Made improper turn, Operating vehicle in an reckless, erratic, careless, negligent manner, FTYROW: From driveway, Improper or erratic lane changing, Other (explain in narrative): No improper action, Exceeded authorized speed, Improper Backing, Swerving/Evasive Action, FTYROW: Other (explain in narrative), Driver Distraction: Exterior distraction, FTYROW: At uncontrolled intersection, Driver Distraction: Inattentive/lost in thought, Failed to keep in proper lane, Driver Distraction: Reaching for object(s)/fallen object(s), FTYROW: From parked position, Passing: Other passing (explain in narrative), FTYROW: From yield sign, FTYROW: To pedestrian, Driver Distraction: Adjusting devices (radio, climate), Other (explain in narrative): Vision obstructed, Driver Distraction: Passenger, Ran off road - right, Crossed centerline (undivided), Traveling wrong way or on wrong side of road, FTYROW: Making right turn on red signal, Driver Distraction: Other electronic device activity, Driver Distraction: Manual operation of an electronic communication device, Driver Distraction: Talking on a hand-held device, Failed to yield to emergency vehicle, Aggressive driving/road rage, Operator inexperience, Passing: With insufficient distance/inadequate visibility, Passing: On wrong side, Other (explain in narrative): Improper operation, Separation of units, Failure to signal intentions, Passing: Through/around barrier.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-10-01 to 2015-10-31 · Crash-level records
First Harmful Event
The most common first harmful event was a collision with another vehicle in traffic, which occurred in 2,852 crashes. The second most frequent event was a collision with an animal, recorded in 1,007 incidents. Collisions with fixed objects, such as ditches (169) and utility poles (76), were also notable.
First Harmful Event
Showing top 9 of 46 reported. 37 additional (478 total) not shown: Non-collision events: Other non-collision (explain in narrative), Other (explain in narrative), Collision with fixed object: Cable barrier, Collision with fixed object: Tree, Collision with fixed object: Curb/island/raised median, Collision with: Other non-fixed object (explain in narrative), Collision with fixed object: Embankment, Non-collision events: Non-contact vehicle (phantom), Collision with fixed object: Other post/pole/support (explain in narrative), Collision with: Struck/struck by object/cargo/person from other vehicle, Collision with fixed object: Building, Collision with fixed object: Traffic sign support, Collision with fixed object: Bridge/bridge rail parapet, Collision with fixed object: Guardrail - face, Collision with fixed object: Mailbox, Collision with fixed object: Culvert/pipe opening, Collision with fixed object: Other fixed object (explain in narrative), Collision with fixed object: Concrete traffic barrier (median or right side), Collision with fixed object: Fence, Collision with fixed object: Ground, Collision with fixed object: Guardrail - end, Collision with fixed object: Fire hydrant, Collision with fixed object: Other traffic barrier (explain in narrative), Non-collision events: Vehicle went airborne, Collision with fixed object: Traffic signal support, Collision with fixed object: Wall, Non-collision events: Jackknife, Miscellaneous events: Fire/explosion, Collision with: Thrown or falling object, Miscellaneous events: Eluding law enforcement, Collision with: Work zone maintenance equipment, Collision with fixed object: Landscape/shrubbery, Collision with fixed object: Bridge overhead structure, Miscellaneous events: Vehicle out of gear/rolled, Non-collision events: Fell/jumped from vehicle, Collision with fixed object: Bridge pier or support, Collision with fixed object: Impact attenuator/crash cushion.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-10-01 to 2015-10-31 · Crash-level records
Roadway Junction / Feature
Crashes were most likely to occur on non-junction road segments, which accounted for 2,200 incidents. Intersections were the location for 1,750 crashes, with traditional four-way intersections being the most common type, hosting 1,284 of these collisions. Driveway-related incidents were also a factor, with 192 crashes occurring near a driveway access point.
Roadway Junction / Feature
Showing top 9 of 22 reported. 13 additional (153 total) not shown: Interchange-related: Off-ramp, diverge area, Interchange-related: Off-ramp, Non-intersection: Railroad grade crossing, Non-intersection: Alley, Non-intersection: Crossover-related, Interchange-related: On-ramp, Intersection: Y-intersection, Intersection: Roundabout, Intersection: Five points or more, Interchange-related: Other interchange (explain in narrative), Intersection: L-intersection, Interchange-related: Mainline, between ramps, Non-intersection: Bike lanes.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-10-01 to 2015-10-31 · Crash-level records
Vehicle Type
Passenger cars were the most common vehicle type involved in crashes, with 4,281 units, followed by sport utility vehicles (1,744) and four-tire light trucks or pickups (1,364). Tractor-trailers were involved in 238 incidents, while motorcycles were involved in 78 crashes. These vehicle types represent a combined total of 8,714 vehicles involved in collisions.
Vehicle Type
"Other" combines 21 smaller categories (268 records): Single-unit truck (>= 3 axles) (57), Cargo/panel van (55), Farm tractor (34), School bus (seats > 15) (19), Farm equipment (explain in narrative) (18), Other bus (seats > 15) (15), Truck/trailer (13), Passenger van (seats 9-15) (13), Motor home/recreational vehicle (8), Other (explain in narrative) (6), Moped (5), Truck tractor (bobtail) (5), All-terrain vehicle (ATV) (4), Small school bus (seats 9-15) (4), Other light truck (<=10000 lbs) (3), Maintenance/construction vehicle (3), Other small bus (seats 9-15) (2), Tractor/doubles (1), Other heavy truck (> 10000 lbs) (cannot classify) (1), Limousine/taxi (seats 8 or less) (1), Street legal, low-speed vehicle (1).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-10-01 to 2015-10-31 · Vehicle unit records
Traffic Control Device
A significant number of crashes occurred in areas with no traffic controls present, with 4,731 such instances noted in vehicle reports. Locations with traffic signals were the site of the next highest number of incidents, with 1,906 vehicle involvements recorded. Crashes at intersections controlled by stop signs were also common, with 935 vehicle involvements noted.
Traffic Control Device
"Other" combines 6 smaller categories (57 records): Warning sign (20), Work zone sign (16), Railway crossing device (14), Traffic director (person) (3), Inoperative (not functioning properly) (3), School zone signs (1).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-10-01 to 2015-10-31 · Vehicle unit records
Most Damaged Area
Frontal impacts were the most frequent type of vehicle damage, recorded on 2,270 vehicles. Rear impacts, often associated with rear-end collisions, were the second most common, affecting 1,141 vehicles. Damage to the front corners of vehicles was also prevalent, with 694 impacts to the passenger side and 624 to the driver side.
Most Damaged Area
"Other" combines 10 smaller categories (1,695 records): Passenger side - front (367), Driver side - rear (285), Rear - driver side corner (268), Passenger side - rear (243), Rear - passenger side corner (184), Top (145), Other (explain in narrative) (101), Non-collision/no damage (51), Undercarriage (47), Cargo loss (4).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-10-01 to 2015-10-31 · Vehicle unit records
Impairment (Alcohol / Drugs)
A total of 134 crashes, or 2.6% of all incidents, involved a driver suspected of being impaired. Alcohol was the most frequently cited substance, involved in 124 of these crashes. Drug impairment was suspected in 6 crashes, while a combination of alcohol and drugs was noted in 4 incidents.
Crashes by County
Crash distribution was most concentrated in Iowa's most populous counties. Polk County recorded the highest number of incidents with 931 crashes, representing 18.0% of the statewide total. Scott County followed with 384 crashes, and Linn County had 310 crashes.
Crashes by County
Showing top 9 of 50 reported. 41 additional (1,778 total) not shown: CLINTON, DALLAS, CERRO GORDO, WEBSTER, DES MOINES, WARREN, MARSHALL, JASPER, BREMER, LEE, MUSCATINE, MARION, WAPELLO, WINNESHIEK, BOONE, CEDAR, FAYETTE, HARDIN, IOWA, BENTON, CLAYTON, TAMA, JONES, HENRY, SIOUX, PLYMOUTH, CARROLL, BUCHANAN, HAMILTON, HARRISON, LOUISA, POWESHIEK, MAHASKA, BUENA VISTA, JEFFERSON, CLAY, DELAWARE, DICKINSON, FLOYD, CRAWFORD, APPANOOSE.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-10-01 to 2015-10-31 · Crash-level records
Crashes by City
Among incorporated areas, Des Moines experienced the highest crash volume with 522 incidents. Davenport recorded the second-highest number of crashes at 296, followed by Cedar Rapids with 192. These figures do not include crashes that occurred in unincorporated areas of their respective counties.
Crashes by City
Showing top 9 of 50 reported. 41 additional (1,171 total) not shown: AMES, ANKENY, CLINTON, URBANDALE, CORALVILLE, FORT DODGE, BURLINGTON, BETTENDORF, CEDAR FALLS, MASON CITY, MARION, CLIVE, OTTUMWA, MARSHALLTOWN, MUSCATINE, INDIANOLA, CARROLL, NEWTON, BOONE, ALTOONA, SPENCER, WEST BURLINGTON, OSKALOOSA, JOHNSTON, WAUKEE, GRIMES, HIAWATHA, LE MARS, CLEAR LAKE, WAVERLY, WINDSOR HEIGHTS, SIOUX CENTER, KEOKUK, ANAMOSA, WEBSTER CITY, STORM LAKE, CRESTON, FORT MADISON, PELLA, PLEASANT HILL, WINTERSET.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-10-01 to 2015-10-31 · Crash-level records
Paved vs Unpaved Road
The vast majority of crashes, 4,894 incidents, occurred on paved roadways. However, Iowa's extensive secondary road network was also a factor, with 253 crashes, or approximately 4.9% of the total, taking place on unpaved surfaces such as gravel or dirt.
Paved vs Unpaved Road
Source: Iowa Crash Data · ArcGIS Open Data · 2015-10-01 to 2015-10-31 · Crash-level records
Roadway Contributing Factor
Roadway-related factors were cited as a contributor in a minority of crashes. The most common issue was the road surface condition, such as being wet or icy, which was noted in 132 incidents. Work zones were a contributing factor in 53 crashes, while debris on the roadway contributed to 16 crashes.
Roadway Contributing Factor
Showing top 9 of 13 reported. 4 additional (5 total) not shown: Non-highway work, Disabled vehicle, Obstruction in roadway, Traffic control obscured.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-10-01 to 2015-10-31 · Crash-level records
Driver Condition
Among drivers where a condition other than 'apparently normal' was recorded, impairment due to alcohol was the most common, noted for 155 drivers. Fatigue or falling asleep was the second-leading condition, affecting 83 drivers. An emotional state, such as anger or depression, was noted for 43 drivers involved in crashes.
Driver Condition
Showing top 9 of 11 reported. 2 additional (4 total) not shown: Visually impaired, Impaired due to previous injury.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-10-01 to 2015-10-31 · Crash-level records
Crashes by Iowa DOT District
The distribution of crashes across Iowa's six DOT districts shows the highest concentration in District 1, which includes the Des Moines metro area, with 1,505 crashes. District 6, covering eastern Iowa including Cedar Rapids and Davenport, had the second-highest volume with 1,399 crashes. Together, these two districts accounted for over half of all crashes in the state.
Crashes by Iowa DOT District
Source: Iowa Crash Data · ArcGIS Open Data · 2015-10-01 to 2015-10-31 · Crash-level records
Property Damage
The most common estimated cost of property damage was in the $1,500 to $7,500 range, which applied to 3,759 crashes. A smaller but significant number of incidents resulted in severe damage, with 103 crashes estimated to have costs exceeding $25,000. Only 168 crashes were estimated to have damage under $1,500.
Property Damage
Source: Iowa Crash Data · ArcGIS Open Data · 2015-10-01 to 2015-10-31 · Crash-level records
Manner of Collision
Single-vehicle crashes, categorized as non-collisions, were the most frequent type of incident, accounting for 1,863 crashes or 36.1% of the total. Among multi-vehicle incidents, rear-end collisions were the most common, with 1,231 crashes (23.9%). Broadside collisions were the third most frequent manner of collision, occurring in 824 incidents (16.0%).
Manner of Collision
"Other" combines 3 smaller categories (166 records): Rear to side (84), Sideswipe, opposite direction (64), Rear to rear (18).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-10-01 to 2015-10-31 · Crash-level records
Pre-Crash Driver Action
For the 8,714 vehicles involved in crashes, the most common action immediately prior to the incident was moving straight ahead, which was the case for 4,989 vehicles. Turning left was the second most frequent pre-crash action, recorded for 835 vehicles. Slowing or stopping in traffic was the third most common action, noted for 485 vehicles.
Pre-Crash Driver Action
Showing top 9 of 19 reported. 10 additional (301 total) not shown: Negotiating a curve, Overtaking/passing, Entering traffic lane (merging), Accelerating in road, Leaving traffic lane, Making U-turn, Leaving a parked position, Starting in road, Illegally Parked/Unattended, Entering a parked position.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-10-01 to 2015-10-31 · Vehicle unit records
Pedestrian/Cyclist Action
For the 103 non-motorists involved in crashes, the most frequently recorded action was entering or crossing a roadway, which was documented in 79 cases. A smaller number of incidents involved non-motorists moving along the roadway with traffic (10 cases) or on a sidewalk (5 cases).
Pedestrian/Cyclist Action
Showing top 9 of 10 reported. 1 additional (1 total) not shown: Movement: Along roadway against traffic.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-10-01 to 2015-10-31 · Non-motorist records linked to crash events
Person Type
Of the 10,646 individuals involved in crashes, the vast majority were drivers, accounting for 10,130 people (95.2%). The remaining individuals included 406 passengers, 65 pedestrians, and 38 bicyclists. A small number of other non-motorists were also involved.
Person Type
Source: Iowa Crash Data · ArcGIS Open Data · 2015-10-01 to 2015-10-31 · Crash-level records
Person Injury Severity
Among all 10,646 people involved in crashes, 24 sustained fatal injuries and 1,783 suffered some level of injury. The most frequently reported injury level was 'Possible,' with 1,064 individuals, followed by 'Minor' injuries for 571 people. A total of 148 individuals sustained serious injuries.
Person Injury Severity
Source: Iowa Crash Data · ArcGIS Open Data · 2015-10-01 to 2015-10-31 · Crash-level records
Occupant Safety Equipment
Based on available data for vehicle occupants, 1,153 individuals were recorded as using a shoulder and lap belt at the time of the crash. In contrast, 143 occupants were noted as not using any safety equipment. This information was not recorded for all participants.
Occupant Safety Equipment
"Other" combines 4 smaller categories (11 records): Booster seat (4), Helmet (other) (4), Child safety seat (type unknown) (2), Child safety seat (rear-facing) (1).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-10-01 to 2015-10-31 · Person-level records linked to crash events
Vehicles Per Crash
Two-vehicle collisions were the most common scenario, accounting for 2,938 incidents, or 56.9% of all crashes. Single-vehicle crashes were the second most frequent type, with 1,936 incidents (37.5%). Crashes involving three or more vehicles were less common, with 245 three-vehicle pileups recorded.
Vehicles Per Crash
Source: Iowa Crash Data · ArcGIS Open Data · 2015-10-01 to 2015-10-31 · 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: 2015-10-01 through 2015-10-31
- Report generated: September 9, 2026
Data Coverage
- Reporting period: 2015-10-01 through 2015-10-31 (31 days)
- Geographic scope: iowa, IA
- Total crash records analyzed: 5,159
- Total persons involved: 10,646
- Total vehicles involved: 8,714
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: October 2015." Published September 9, 2026. Reporting period: 2015-10-01 to 2015-10-31. Data source: Iowa Crash Data, ArcGIS Open Data. Available at: https://thatcarhitme.com/crash-data/iowa/statewide/october-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: 2015-10-01 – 2015-10-31
Generated: September 9, 2026 · All rights reserved