ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · IOWA, IA · 2015
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/iowa/statewide/2015-annual-report
Yearly Traffic Safety Analysis
423 CRASHES IN
IOWA, IA
2015
In 2015, Bremer County recorded 423 total traffic crashes, resulting in 1 fatality and 111 injuries. A significant finding from the data is that collisions involving animals were the leading contributing factor, accounting for 167 incidents, or 39.5% of all crashes with a reported cause.
423
Total Crash Events
1
Persons Killed
111
Persons Injured
1
Fatal Crash Events
Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Aggregate counts from crash, person, and vehicle records
Vulnerable Road User Casualties
In 2015, one motorist was killed in a traffic crash in Bremer County. A total of 111 individuals were injured, the vast majority of whom were motorists (105 people). Additionally, 3 pedestrians and 3 cyclists sustained injuries in separate incidents, though no fatalities were recorded for these vulnerable road users.
0
Pedestrians Killed
0
Cyclists Killed
1
Motorists Killed
3
Pedestrians Injured
3
Cyclists Injured
105
Motorists Injured
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
Crash analysis for 2015 indicates that Fridays were the most frequent day for incidents, with 78 crashes recorded. The afternoon hour from 3:00 PM to 3:59 PM was the peak time, accounting for 38 collisions. Crashes occurred most often during daylight hours, with 190 incidents, while the months of November (64 crashes) and October (53 crashes) saw the highest frequency of events.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash date field aggregated by weekday
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Of the 423 total crashes in 2015, a large majority (79.2%, or 335 incidents) resulted in no injuries. Crashes involving injuries accounted for 20.6% of the total, broken down into 50 with possible injuries, 32 with minor injuries, and 5 with serious injuries. There was 1 fatal crash during this period, which resulted in 1 fatality.
Outcome by Severity (Crash Events)
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Most severe injury per crash record
Top Contributing Factors
The most significant contributing factor to crashes in 2015 was contact with an animal, which was cited in 167 incidents, representing 39.5% of all crashes with a determined factor. Other leading causes included drivers losing control (28 crashes), failure to yield the right-of-way while making a left turn (23 crashes), and driving too fast for conditions (22 crashes).
Officer-Reported Primary Contributing Cause
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
The majority of crashes occurred in ideal driving conditions. Specifically, 190 crashes happened during daylight hours, 155 occurred in clear weather, and 156 took place on dry road surfaces. Adverse weather conditions were a factor in a smaller subset of incidents, with 24 crashes occurring during snow and 18 during rain, while 36 crashes happened on snowy roads and 31 on wet roads.
Weather
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Weather condition at time of crash
Lighting
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Lighting condition field
Road Surface
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Road surface condition field
Vehicles & Demographics
Analysis of the 717 people involved in crashes shows the 16-20 age group was the most represented, with 142 individuals, followed by the 45-54 and 65+ age groups, each with 94 individuals. Among the 603 vehicles involved, the most frequent makes were Chevrolet (127 vehicles), Ford (102 vehicles), Toyota (40 vehicles), and Pontiac (40 vehicles).
Top Vehicle Makes (603 vehicles)
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
37 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (552 persons with recorded sex)
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Person-level records linked to crash events
Major Cause
The leading major cause of crashes recorded was interaction with an animal, accounting for 167 incidents (39.5%). Following this, driver-related actions were most common, including losing control (28 crashes, 6.6%), failing to yield while making a left turn (23 crashes, 5.4%), and driving too fast for conditions (22 crashes, 5.2%).
Major Cause
Showing top 9 of 42 reported. 33 additional (96 total) not shown: Other (explain in narrative): No improper action, FTYROW: Other (explain in narrative), Driver Distraction: Other interior distraction, FTYROW: From driveway, Exceeded authorized speed, Improper or erratic lane changing, Swerving/Evasive Action, FTYROW: At uncontrolled intersection, Ran Stop Sign, Traveling wrong way or on wrong side of road, FTYROW: From yield sign, Driver Distraction: Reaching for object(s)/fallen object(s), Operating vehicle in an reckless, erratic, careless, negligent manner, Made improper turn, Driver Distraction: Exterior distraction, Other (explain in narrative): Vision obstructed, Failed to keep in proper lane, Improper Backing, Aggressive driving/road rage, FTYROW: From parked position, Driver Distraction: Unrestrained animal, Ran off road - right, Driver Distraction: Other electronic device activity, Over correcting/over steering, Passing: Where prohibited by signs/markings, Other (explain in narrative): Disregarded signs/road markings, Equipment failure, Crossed centerline (undivided), Cargo/equipment loss or shift, Separation of units, FTYROW: To pedestrian, FTYROW: Making right turn on red signal, Driver Distraction: Inattentive/lost in thought.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
First Harmful Event
The most frequent first harmful event was a collision with an animal, documented in 166 crashes, or 39.2% of the total. The second most common event was a collision with another vehicle in traffic, which occurred in 134 incidents (31.7%). Events indicating a vehicle leaving the roadway, such as rollovers (26 crashes) and collisions with a ditch (17 crashes), were also noted.
First Harmful Event
Showing top 9 of 27 reported. 18 additional (30 total) not shown: Collision with fixed object: Traffic sign support, Collision with fixed object: Other post/pole/support (explain in narrative), Miscellaneous events: Hit and run, Collision with fixed object: Cable barrier, Non-collision events: Other non-collision (explain in narrative), Collision with: Other non-fixed object (explain in narrative), Collision with fixed object: Tree, Collision with fixed object: Culvert/pipe opening, Non-collision events: Non-contact vehicle (phantom), Non-collision events: Vehicle went airborne, Collision with fixed object: Bridge/bridge rail parapet, Collision with fixed object: Other fixed object (explain in narrative), Collision with fixed object: Guardrail - face, Collision with fixed object: Guardrail - end, Collision with fixed object: Ground, Collision with: Railway vehicle/train, Collision with fixed object: Curb/island/raised median, Collision with: Struck/struck by object/cargo/person from other vehicle.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Roadway Junction / Feature
Crashes were more likely to occur on segments of road away from intersections, with 143 incidents recorded at non-junction locations. Four-way intersections were the most common type of junction for crashes, accounting for 64 incidents, followed by T-intersections with 16 incidents. Driveway access was related to 23 crashes.
Roadway Junction / Feature
Showing top 9 of 18 reported. 9 additional (12 total) not shown: Intersection: Five points or more, Non-intersection: Other non-intersection (explain in narrative), Non-intersection: Railroad grade crossing, Intersection: Intersection with ramp, Interchange-related: On-ramp merge area, Interchange-related: Off-ramp, diverge area, Intersection: L-intersection, Non-intersection: Alley, Non-intersection: Crossover-related.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Vehicle Type
Passenger cars were the most common vehicle type involved in crashes, accounting for 305 of the 603 vehicles (50.6%). Sport utility vehicles (106 vehicles) and light trucks or pickups (95 vehicles) were the next most frequent. Commercial trucks, including tractor-trailers, were involved in 25 incidents, while one crash involved a motorcycle.
Vehicle Type
"Other" combines 9 smaller categories (14 records): Farm tractor (3), School bus (seats > 15) (2), Farm equipment (explain in narrative) (2), Truck tractor (bobtail) (2), Motorcycle (1), Train (1), Moped (1), Truck/trailer (1), Cargo/panel van (1).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Traffic Control Device
A significant majority of crashes occurred where no traffic controls were present, with this category accounting for 310 incidents (69.7% of crashes with traffic control data). Where controls were in place, crashes most frequently occurred at locations with traffic signals (63 incidents) or stop signs (52 incidents).
Traffic Control Device
"Other" combines 2 smaller categories (2 records): Work zone sign (1), No Passing Zone (marked) (1).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Most Damaged Area
The front of the vehicle was the most common area of initial damage, reported in 112 instances, indicating a high frequency of frontal collisions. Rear-end collisions are suggested by the 47 vehicles damaged primarily in the rear, while various side impacts were also common, with 37 vehicles damaged on the driver's side middle area.
Most Damaged Area
"Other" combines 10 smaller categories (122 records): Driver side - rear (21), Top (20), Passenger side - front (20), Passenger side - rear (16), Rear - driver side corner (14), Rear - passenger side corner (13), Non-collision/no damage (6), Undercarriage (6), Other (explain in narrative) (5), Cargo loss (1).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Crashes by City
Within Bremer County, crash distribution was heavily concentrated in Waverly, which recorded 142 crashes. The next most affected municipalities were Denver with 17 crashes, followed by Janesville and Sumner, each with 7 crashes reported in 2015.
Crashes by City
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Paved vs Unpaved Road
The vast majority of crashes, 386 out of 423, occurred on paved roadways. However, a notable 37 crashes, representing 8.7% of the total, took place on unpaved surfaces such as gravel or dirt roads.
Paved vs Unpaved Road
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · 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 cited issue, noted in 48 crashes. Other roadway factors like ruts, holes, or debris were cited in only a handful of incidents, indicating that most crashes did not have an apparent roadway-related contributing cause.
Roadway Contributing Factor
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Driver Condition
Among drivers for whom a condition other than 'apparently normal' was noted, medical issues were the most common, cited in 5 cases. Driver fatigue or being asleep was a factor for 4 drivers, and driving under the influence of alcohol was also recorded for 4 drivers. These numbers represent only the small fraction of drivers where a specific condition was documented.
Driver Condition
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Property Damage
The estimated cost of property damage was most frequently in the $1,500 to $7,500 range, which applied to 330 crashes, or 78% of the total. A smaller number of crashes resulted in more significant damage, with 69 incidents falling in the $7,500 to $25,000 range and 11 crashes (2.6%) exceeding $25,000 in estimated damages.
Property Damage
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Manner of Collision
The most common type of crash was a non-collision event involving a single vehicle, such as running off the road or an overturn, which accounted for 188 incidents or 44.4% of all crashes. Among multi-vehicle crashes, rear-end collisions were the most frequent, with 54 incidents (12.8%), followed by broadside collisions with 42 incidents (9.9%).
Manner of Collision
"Other" combines 2 smaller categories (9 records): Head-on (front to front) (5), Sideswipe, opposite direction (4).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Pre-Crash Driver Action
Data on driver actions prior to impact shows that the majority of vehicles (289) were moving straight ahead. The next most common pre-crash action was turning left, which was reported for 52 vehicles. Slowing or stopping was the action for 26 vehicles, and 25 were stopped in traffic at the time of the collision.
Pre-Crash Driver Action
Showing top 9 of 17 reported. 8 additional (24 total) not shown: Changing lanes, Negotiating a curve, Overtaking/passing, Starting in road, Accelerating in road, Leaving a parked position, Making U-turn, Leaving traffic lane.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Person Type
Of the 717 individuals involved in crashes, the vast majority were drivers, accounting for 689 people or 96.1% of the total. Passengers made up 22 of the individuals involved, while 3 pedestrians and 3 bicyclists were also recorded.
Person Type
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Person Injury Severity
Across all people involved in crashes, 1 person sustained a fatal injury. An additional 111 people were injured, with 5 classified as serious injuries, 41 as minor injuries, and 65 as possible injuries. The data indicates that 2 individuals involved in injury-crashes were reported to have no injuries.
Person Injury Severity
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Occupant Safety Equipment
In the subset of crash participants for whom safety equipment use was documented, 72 individuals were recorded as using a shoulder and lap belt. Twelve individuals were recorded as using no safety equipment, representing 14.3% of those with available data on this measure.
Occupant Safety Equipment
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Person-level records linked to crash events
Vehicles Per Crash
Single-vehicle crashes were the most common scenario, accounting for 254 incidents, or 60.0% of all crashes. Two-vehicle collisions were the next most frequent type, with 160 incidents (37.8%). Crashes involving three or more vehicles were rare, with only 7 three-vehicle and 2 four-vehicle crashes recorded.
Vehicles Per Crash
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Data Sources & Methodology
Primary Data Source
All crash data in this report is sourced from Iowa Crash Data, accessed programmatically via the ArcGIS Open Data API (SODA). This dataset contains official police-reported motor vehicle traffic crash records maintained by the reporting jurisdiction's law enforcement agency. Records are published to the open data portal by the municipality and are subject to the portal's terms of use.
Data Retrieval
- Access method: ArcGIS Open Data API (SoQL queries)
- Data format: Structured JSON via REST API
- Record types queried: Crash events, person records, and vehicle unit records
- Date filter applied: 2015-01-01 through 2015-12-31
- Report generated: September 9, 2026
Data Coverage
- Reporting period: 2015-01-01 through 2015-12-31 (365 days)
- Geographic scope: iowa, IA
- Total crash records analyzed: 423
- Total persons involved: 717
- Total vehicles involved: 603
Analytical Methodology
- Severity classification: Uses the KABCO injury scale (K=Fatal, A=Incapacitating injury, B=Non-incapacitating injury, C=Possible injury, O=No injury/property damage only), the standard classification in U.S. Model Minimum Uniform Crash Criteria (MMUCC). Severity is assigned per crash event based on the most severe injury in that crash. A single fatal crash (K) may involve multiple fatalities; therefore the "Persons Killed" count in the headline KPIs may differ from the "Fatal" crash count in the severity breakdown.
- Contributing factors: Reflect the officer-determined primary contributory cause recorded at the time of the crash report. These are preliminary determinations and may not reflect final investigation findings.
- Hit-and-run classification: Based on the hit-and-run indicator field in the official crash report, as determined by the responding officer at the scene.
- Temporal analysis: Day-of-week and hour-of-day distributions are computed from the crash date/time timestamp in each record.
- Demographics: Age and sex distributions are drawn from person-level records linked to each crash event. A single crash may involve multiple persons.
- Vehicle data: Make information is drawn from vehicle unit records linked to each crash event.
- AI commentary: Narrative sections are generated by Google Gemini (large language model) based on the structured data. Commentary is descriptive, not predictive, and should not be interpreted as expert opinion.
Limitations & Disclaimers
- Only crashes reported to and documented by law enforcement are included. Minor incidents, unreported crashes, and near-misses are not captured in this dataset.
- Data reflects conditions at the time of the initial police report and may be subject to subsequent corrections, reclassifications, or supplements by the reporting agency.
- Open data portal records may experience a publication lag - recently occurring crashes may not yet appear in the dataset at the time of report generation.
- AI-generated commentary is produced by a large language model and is intended to highlight patterns in the data. It does not constitute legal, medical, or professional analysis.
- Percentages are calculated from reported data and are subject to rounding.
Non-Affiliation Disclosure
This report is produced independently by ThatCarHitMe.com (Injuria.ai). It is not affiliated with, endorsed by, or produced in partnership with any law enforcement agency, municipal government, state department of transportation, or the National Highway Traffic Safety Administration (NHTSA). Data is sourced from publicly available government open data portals.
Data License
The underlying crash data is provided under the municipality's Open Data Terms of Use and is made available to the public for unrestricted use. This analysis and report is © 2026 Injuria.ai and may be cited with attribution using the suggested citation below.
Corrections & Feedback
If you believe any data in this report is inaccurate or have questions about our methodology, please contact: data@injuria.ai. We are committed to accuracy and will issue corrections promptly.
Suggested Citation
ThatCarHitMe.com (Injuria.ai). "iowa, IA Crash Intelligence Report: 2015." Published September 9, 2026. Reporting period: 2015-01-01 to 2015-12-31. Data source: Iowa Crash Data, ArcGIS Open Data. Available at: https://thatcarhitme.com/crash-data/iowa/statewide/2015-annual-report
About the Publisher
ThatCarHitMe.com is a crash data intelligence platform developed by Injuria.ai, a legal technology company specializing in traffic safety analytics. We aggregate and analyze publicly available government crash data to produce structured intelligence reports for communities, researchers, journalists, and legal professionals. Our reports combine programmatic data retrieval from official open data portals with AI-assisted narrative analysis.
Questions about this report's data or methodology: data@injuria.ai
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Iowa Crash Data · ArcGIS
Period: 2015-01-01 – 2015-12-31
Generated: September 9, 2026 · All rights reserved