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CRASH INTELLIGENCE REPORT · IOWA, IA · MAY 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/may-2015-report
Monthly Traffic Safety Analysis
4,327 CRASHES IN
IOWA, IA
MAY 2015
In May 2015, Iowa reported 4,327 traffic crashes, resulting in 25 fatalities and 1,689 injuries. These incidents occurred at a rate of 3.4 crashes per 100 involving a driver suspected of driving under the influence. A notable finding from the data is that collisions with animals were the single most cited contributing factor, accounting for 582 crashes, or 13.5% of the total.
4,327
Total Crash Events
25
Persons Killed
1,689
Persons Injured
23
Fatal Crash Events
Note: "Persons Killed" (25) 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 · 2015-05-01 to 2015-05-31 · Aggregate counts from crash, person, and vehicle records
Vulnerable Road User Casualties
Motorists comprised the vast majority of those killed or injured, with 24 fatalities and 1,614 injuries. Among vulnerable road users, one pedestrian was killed and 27 were injured. While no bicyclists were killed during this period, 41 sustained injuries.
1
Pedestrians Killed
0
Cyclists Killed
24
Motorists Killed
0
Other Killed
27
Pedestrians Injured
41
Cyclists Injured
1,614
Motorists Injured
7
Other Injured
Source: Iowa Crash Data · ArcGIS Open Data · 2015-05-01 to 2015-05-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
Crash frequency peaked on Fridays, which saw a total of 845 incidents. The single busiest hour of the day was the 3 p.m. hour, with 397 crashes, indicating a strong correlation with the afternoon commute. Overall, 3,097 crashes, representing 71.6% of the total, occurred during daylight hours.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-05-01 to 2015-05-31 · Crash date field aggregated by weekday
Source: Iowa Crash Data · ArcGIS Open Data · 2015-05-01 to 2015-05-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Of the 4,327 total crashes, 2,977 (68.8%) resulted in no injuries, involving only property damage. The remaining incidents involved injuries of varying degrees, including 114 serious injury crashes and 434 minor injury crashes. There were 23 distinct fatal crashes, which resulted in a total of 25 fatalities, as some incidents involved more than one death.
Severity is per crash event (most severe injury). 23 fatal crash events resulted in 25 persons killed.
Outcome by Severity (Crash Events)
Source: Iowa Crash Data · ArcGIS Open Data · 2015-05-01 to 2015-05-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Iowa Crash Data · ArcGIS Open Data · 2015-05-01 to 2015-05-31 · Most severe injury per crash record
Top Contributing Factors
The most common contributing factor cited in crashes was an animal in the roadway, accounting for 582 incidents (13.5%). This was followed by drivers following too closely, which contributed to 503 crashes (11.6%). Failure to yield the right-of-way from a stop sign was the third-leading factor, cited in 278 crashes.
Officer-Reported Primary Contributing Cause
Source: Iowa Crash Data · ArcGIS Open Data · 2015-05-01 to 2015-05-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
The majority of crashes occurred in favorable conditions, with 3,097 (71.6%) happening in daylight and 2,875 (66.4%) on dry road surfaces. Clear weather was reported for 1,907 crashes, with an additional 1,274 in cloudy conditions. Crashes in adverse conditions were less frequent, with 605 incidents occurring during rain and 846 on wet roads.
Weather
Source: Iowa Crash Data · ArcGIS Open Data · 2015-05-01 to 2015-05-31 · Weather condition at time of crash
Lighting
Source: Iowa Crash Data · ArcGIS Open Data · 2015-05-01 to 2015-05-31 · Lighting condition field
Road Surface
Source: Iowa Crash Data · ArcGIS Open Data · 2015-05-01 to 2015-05-31 · Road surface condition field
Vehicles & Demographics
Among the 9,400 people involved in crashes, the 26-34 age group was the most represented, with 1,480 individuals. Analysis of the 7,572 vehicles involved shows that Chevrolet (1,519 vehicles), Ford (1,160 vehicles), and Dodge (579 vehicles) were the most frequent makes recorded in crash reports.
Top Vehicle Makes (7,572 vehicles)
Source: Iowa Crash Data · ArcGIS Open Data · 2015-05-01 to 2015-05-31 · Vehicle unit records
723 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (6,614 persons with recorded sex)
Source: Iowa Crash Data · ArcGIS Open Data · 2015-05-01 to 2015-05-31 · Person-level records linked to crash events
Major Cause
The leading major cause attributed to crashes was an animal in the roadway, cited in 582 incidents. Following too closely was the second most common cause with 503 crashes. Failure to yield the right-of-way from a stop sign was the third leading factor, contributing to 278 crashes.
Major Cause
Showing top 9 of 49 reported. 40 additional (1,418 total) not shown: Driving too fast for conditions, Ran Stop Sign, Operating vehicle in an reckless, erratic, careless, negligent manner, Made improper turn, Driver Distraction: Other interior distraction, Improper or erratic lane changing, FTYROW: From driveway, Other (explain in narrative): No improper action, Driver Distraction: Inattentive/lost in thought, Exceeded authorized speed, FTYROW: Other (explain in narrative), Driver Distraction: Exterior distraction, Improper Backing, Swerving/Evasive Action, FTYROW: At uncontrolled intersection, Driver Distraction: Reaching for object(s)/fallen object(s), Passing: Other passing (explain in narrative), Failed to keep in proper lane, FTYROW: From parked position, Driver Distraction: Passenger, FTYROW: From yield sign, Ran off road - right, Driver Distraction: Adjusting devices (radio, climate), Operator inexperience, Driver Distraction: Manual operation of an electronic communication device, Crossed centerline (undivided), Passing: With insufficient distance/inadequate visibility, Other (explain in narrative): Vision obstructed, Driver Distraction: Talking on a hand-held device, Passing: On wrong side, Traveling wrong way or on wrong side of road, Cargo/equipment loss or shift, FTYROW: To pedestrian, Aggressive driving/road rage, Failed to yield to emergency vehicle, Driver Distraction: Other electronic device activity, FTYROW: Making right turn on red signal, Passing: Through/around barrier, Illegally Parked/Unattended, Equipment failure.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-05-01 to 2015-05-31 · Crash-level records
First Harmful Event
The most common initial event in a crash was a collision with another vehicle in traffic, which occurred in 2,614 incidents. The second most frequent first harmful event was a collision with an animal, recorded in 573 crashes. Single-vehicle events were also common, with 169 crashes involving a ditch and 113 involving an overturn or rollover.
First Harmful Event
Showing top 9 of 44 reported. 35 additional (399 total) not shown: Collision with: Re-entering roadway, Collision with fixed object: Curb/island/raised median, Miscellaneous events: Hit and run, Collision with fixed object: Tree, Collision with fixed object: Cable barrier, Collision with: Struck/struck by object/cargo/person from other vehicle, Collision with fixed object: Traffic sign support, Collision with fixed object: Embankment, Collision with fixed object: Bridge/bridge rail parapet, Non-collision events: Non-contact vehicle (phantom), Collision with: Other non-fixed object (explain in narrative), Collision with fixed object: Concrete traffic barrier (median or right side), Collision with fixed object: Other post/pole/support (explain in narrative), Collision with fixed object: Guardrail - face, Non-collision events: Vehicle went airborne, Collision with fixed object: Ground, Collision with fixed object: Building, Collision with fixed object: Fence, Collision with fixed object: Mailbox, Non-collision events: Fell/jumped from vehicle, Collision with fixed object: Culvert/pipe opening, Non-collision events: Jackknife, Collision with: Thrown or falling object, Collision with fixed object: Other fixed object (explain in narrative), Collision with fixed object: Fire hydrant, Collision with fixed object: Traffic signal support, Miscellaneous events: Eluding law enforcement, Collision with fixed object: Bridge overhead structure, Collision with fixed object: Bridge pier or support, Collision with fixed object: Wall, Collision with fixed object: Guardrail - end, Collision with fixed object: Impact attenuator/crash cushion, Miscellaneous events: Fire/explosion, Collision with fixed object: Other traffic barrier (explain in narrative), Collision with: Railway vehicle/train.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-05-01 to 2015-05-31 · Crash-level records
Roadway Junction / Feature
Crashes were most likely to occur on non-intersection road segments, which accounted for 1,888 incidents. Four-way intersections were the most common junction type for crashes, with 1,116 incidents occurring at these locations. T-intersections were the site of 327 crashes.
Roadway Junction / Feature
Showing top 9 of 23 reported. 14 additional (152 total) not shown: Interchange-related: On-ramp merge area, Non-intersection: Alley, Interchange-related: On-ramp, Intersection: Y-intersection, Interchange-related: Off-ramp, diverge area, Non-intersection: Crossover-related, Non-intersection: Railroad grade crossing, Interchange-related: Mainline, between ramps, Intersection: Roundabout, Intersection: L-intersection, Intersection: Five points or more, Interchange-related: Other interchange (explain in narrative), Intersection: Traffic circle, Non-intersection: Bike lanes.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-05-01 to 2015-05-31 · Crash-level records
Vehicle Type
Passenger cars were the most common vehicle type involved in crashes, accounting for 3,785 of the vehicles. Sport utility vehicles (1,504) and four-tire light trucks or pickups (1,108) were the next most frequent. The data also includes 168 tractor-semitrailers and 135 motorcycles involved in collisions.
Vehicle Type
"Other" combines 23 smaller categories (200 records): Cargo/panel van (45), Single-unit truck (>= 3 axles) (39), School bus (seats > 15) (18), Passenger van (seats 9-15) (16), Other bus (seats > 15) (14), Farm tractor (12), Motor home/recreational vehicle (7), Moped (7), Farm equipment (explain in narrative) (6), All-terrain vehicle (ATV) (6), Other light truck (<=10000 lbs) (5), Other (explain in narrative) (4), Truck tractor (bobtail) (4), Maintenance/construction vehicle (3), Truck/trailer (3), 3-wheeled, unenclosed (2), Golf cart (2), Tractor/doubles (2), Train (1), Other small bus (seats 9-15) (1), Other heavy truck (> 10000 lbs) (cannot classify) (1), Limousine/taxi (sets >15) (1), Vehicle <= 10,000 lbs, placarded for hazardous materials (1).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-05-01 to 2015-05-31 · Vehicle unit records
Traffic Control Device
A majority of vehicles involved in crashes, 4,274, were at locations with no traffic controls present. For crashes at controlled locations, traffic signals were the most common device, associated with 1,730 vehicles. Stop signs were the next most frequent control type, present for 798 vehicles in crashes.
Traffic Control Device
"Other" combines 6 smaller categories (66 records): No Passing Zone (marked) (26), Warning sign (23), Railway crossing device (7), Traffic director (person) (5), School zone signs (3), Inoperative (not functioning properly) (2).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-05-01 to 2015-05-31 · Vehicle unit records
Most Damaged Area
Frontal impacts were the most common point of damage, recorded on 1,998 vehicles involved in crashes. Rear impacts, which are typically associated with rear-end collisions, were the second most frequent damage area with 1,038 instances. Damage to the driver's side was noted for 394 vehicles and to the passenger's side for 365 vehicles.
Most Damaged Area
"Other" combines 10 smaller categories (1,558 records): Passenger side - front (346), Driver side - rear (277), Rear - driver side corner (238), Passenger side - rear (221), Rear - passenger side corner (163), Top (137), Other (explain in narrative) (93), Non-collision/no damage (51), Undercarriage (30), Cargo loss (2).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-05-01 to 2015-05-31 · Vehicle unit records
Impairment (Alcohol / Drugs)
A total of 154 crashes were recorded as involving an impaired driver, representing 3.6% of all crashes. Of these, alcohol was suspected in 144 cases, drugs in 6 cases, and a combination of alcohol and drugs in 4 cases. These figures represent a minimum, as impairment is often under-reported.
Crashes by County
Polk County, home to Des Moines, recorded the highest number of crashes with 857 incidents. Scott County followed with 322 crashes, and Linn County had 298. Together, the top five counties (Polk, Scott, Linn, Woodbury, and Johnson) accounted for 1,865 crashes, representing 43.1% of the statewide total.
Crashes by County
Showing top 9 of 50 reported. 41 additional (1,440 total) not shown: DALLAS, CLINTON, WEBSTER, CERRO GORDO, DES MOINES, WARREN, LEE, MARSHALL, MARION, BOONE, SIOUX, JASPER, WAPELLO, MUSCATINE, FAYETTE, CEDAR, HARRISON, BUENA VISTA, HAMILTON, MILLS, IOWA, BREMER, CLAY, WINNESHIEK, CLAYTON, BUCHANAN, CRAWFORD, HENRY, POWESHIEK, DELAWARE, UNION, JEFFERSON, BENTON, JONES, CASS, CLARKE, MAHASKA, WASHINGTON, PLYMOUTH, TAMA, APPANOOSE.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-05-01 to 2015-05-31 · Crash-level records
Crashes by City
At the municipal level, Des Moines reported the highest crash volume with 488 incidents. Other cities with significant crash counts include Davenport with 262 crashes, Cedar Rapids with 192, and Sioux City with 173. These figures highlight crash concentration in the state's primary urban centers.
Crashes by City
Showing top 9 of 50 reported. 41 additional (988 total) not shown: ANKENY, URBANDALE, AMES, FORT DODGE, CLINTON, BURLINGTON, MASON CITY, CORALVILLE, MARION, BETTENDORF, CEDAR FALLS, MARSHALLTOWN, CLIVE, OTTUMWA, BOONE, PLEASANT HILL, ALTOONA, GRIMES, PELLA, SPENCER, INDIANOLA, DECORAH, NEWTON, WAUKEE, STORM LAKE, MUSCATINE, CRESTON, DE WITT, DENISON, HIAWATHA, OSKALOOSA, WEBSTER CITY, KEOKUK, WINDSOR HEIGHTS, JOHNSTON, SIOUX CENTER, FAIRFIELD, NORTH LIBERTY, FORT MADISON, GRINNELL, INDEPENDENCE.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-05-01 to 2015-05-31 · Crash-level records
Paved vs Unpaved Road
The vast majority of crashes, 4,099 incidents, occurred on paved roadways. A total of 209 crashes, or approximately 4.9% of those with a recorded surface type, took place on unpaved surfaces such as gravel or dirt roads. This reflects the prevalence of Iowa's secondary road network in crash data.
Paved vs Unpaved Road
Source: Iowa Crash Data · ArcGIS Open Data · 2015-05-01 to 2015-05-31 · Crash-level records
Roadway Contributing Factor
In cases where a roadway factor was identified as a contributor, surface conditions such as wet or icy pavement were the most common, cited in 132 crashes. Work zones were noted as a factor in 53 incidents. Additionally, slippery, loose, or worn surfaces contributed to 27 crashes.
Roadway Contributing Factor
Showing top 9 of 13 reported. 4 additional (9 total) not shown: Traffic backup, prior non-recurring incident, Disabled vehicle, Non-highway work, Traffic control obscured.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-05-01 to 2015-05-31 · Crash-level records
Driver Condition
Among drivers where a condition other than 'apparently normal' was noted, being under the influence of alcohol was the most frequent, recorded for 173 drivers. The second most common condition was being asleep or fatigued, which was cited for 51 drivers. Emotional state and pre-existing medical conditions were also noted in 37 and 34 cases, respectively.
Driver Condition
Showing top 9 of 11 reported. 2 additional (2 total) not shown: Hearing impaired/deaf, Visually impaired.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-05-01 to 2015-05-31 · Crash-level records
Crashes by Iowa DOT District
Iowa DOT District 1, which includes the Des Moines metro area, had the highest number of crashes with 1,272. District 6, covering eastern Iowa including Cedar Rapids and Davenport, followed closely with 1,210 crashes. These two districts combined accounted for over 57% of all crashes in the state.
Crashes by Iowa DOT District
Source: Iowa Crash Data · ArcGIS Open Data · 2015-05-01 to 2015-05-31 · 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 3,145 crashes. A smaller number of severe incidents, 70 crashes, resulted in estimated damages exceeding $25,000. Only 178 crashes were estimated to have damages under $1,500.
Property Damage
Source: Iowa Crash Data · ArcGIS Open Data · 2015-05-01 to 2015-05-31 · Crash-level records
Manner of Collision
Rear-end collisions were the most frequent crash type, accounting for 1,116 incidents or 25.8% of the total. Non-collision events, such as single-vehicle run-offs or rollovers, were nearly as common, with 1,043 incidents (24.1%). Broadside collisions were the third most common manner of collision, occurring in 729 crashes.
Manner of Collision
"Other" combines 3 smaller categories (172 records): Sideswipe, opposite direction (76), Other (explain in narrative) (75), Rear to rear (21).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-05-01 to 2015-05-31 · Crash-level records
Pre-Crash Driver Action
The most common pre-crash action for vehicles was moving essentially straight, which was the case for 4,110 vehicles involved in collisions. Turning left was the next most frequent action, recorded for 749 vehicles. An additional 454 vehicles were in the process of slowing or stopping just before impact.
Pre-Crash Driver Action
Showing top 9 of 19 reported. 10 additional (309 total) not shown: Overtaking/passing, Negotiating a curve, Entering traffic lane (merging), Accelerating in road, Making U-turn, Illegally Parked/Unattended, Starting in road, Leaving traffic lane, Leaving a parked position, Entering a parked position.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-05-01 to 2015-05-31 · Vehicle unit records
Pedestrian/Cyclist Action
Among incidents involving pedestrians and bicyclists, the most frequently recorded action was 'Entering or crossing roadway,' which was noted in 49 cases. Other actions, such as moving along a sidewalk or in the roadway, were cited in much smaller numbers, with 6 and 9 instances respectively.
Pedestrian/Cyclist Action
Source: Iowa Crash Data · ArcGIS Open Data · 2015-05-01 to 2015-05-31 · Non-motorist records linked to crash events
Person Type
Of the 9,400 individuals involved in crashes, the vast majority were drivers, accounting for 8,896 people (94.6%). Passengers made up the next largest group with 427 individuals. The data also includes 42 bicyclists and 28 pedestrians who were involved in these incidents.
Person Type
Source: Iowa Crash Data · ArcGIS Open Data · 2015-05-01 to 2015-05-31 · Crash-level records
Person Injury Severity
Among all persons involved in crashes, 25 sustained fatal injuries and 151 suffered serious injuries. Minor injuries were recorded for 564 people, while an additional 974 people had possible injuries. These figures illustrate the human impact across the full spectrum of crash severities.
Person Injury Severity
Source: Iowa Crash Data · ArcGIS Open Data · 2015-05-01 to 2015-05-31 · Crash-level records
Occupant Safety Equipment
Among the individuals for whom safety equipment usage was documented, 1,086 were recorded as using a shoulder and lap belt. Conversely, 146 individuals were noted as not using any safety equipment at the time of the crash. For motorcyclists, 29 were reported to be wearing a DOT-compliant helmet.
Occupant Safety Equipment
"Other" combines 4 smaller categories (8 records): Booster seat (2), Child safety seat (rear-facing) (2), Shoulder belt only used (2), Child safety seat (type unknown) (2).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-05-01 to 2015-05-31 · Person-level records linked to crash events
Vehicles Per Crash
Two-vehicle collisions were the most common scenario, accounting for 2,692 crashes (62.2%). Single-vehicle crashes were the next most frequent type, with 1,382 incidents, representing 31.9% of the total. Crashes involving three or more vehicles were less common, with 214 three-vehicle incidents recorded.
Vehicles Per Crash
Source: Iowa Crash Data · ArcGIS Open Data · 2015-05-01 to 2015-05-31 · 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: 2015-05-01 through 2015-05-31
- Report generated: September 9, 2026
Data Coverage
- Reporting period: 2015-05-01 through 2015-05-31 (31 days)
- Geographic scope: iowa, IA
- Total crash records analyzed: 4,327
- Total persons involved: 9,400
- Total vehicles involved: 7,572
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: May 2015." Published September 9, 2026. Reporting period: 2015-05-01 to 2015-05-31. Data source: Iowa Crash Data, ArcGIS Open Data. Available at: https://thatcarhitme.com/crash-data/iowa/statewide/may-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: 2015-05-01 – 2015-05-31
Generated: September 9, 2026 · All rights reserved