Yearly Traffic Safety Analysis

788 CRASHES IN
IOWA, IA
2015

In 2015, Webster County recorded 788 traffic crashes, which resulted in 7 fatalities and 224 injuries. These incidents occurred across 5 fatal crashes. A notable finding from the data is the prominence of collisions with animals, which was cited as the primary contributing factor in 82 crashes, representing over 10% of the total.

788

Total Crash Events

7

Persons Killed

224

Persons Injured

5

Fatal Crash Events

Note: "Persons Killed" (7) counts individual fatalities across all crash events. "Fatal" in the severity table below (5) 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, motorists accounted for all 7 traffic fatalities and the vast majority of injuries, with 211 motorists injured. No fatalities were recorded among vulnerable road users. However, 7 pedestrians and 4 cyclists sustained injuries in crashes during the year.

0

Pedestrians Killed

0

Cyclists Killed

7

Motorists Killed

0

Other Killed

7

Pedestrians Injured

4

Cyclists Injured

211

Motorists Injured

2

Other 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 frequencies in Webster County show distinct patterns by time of day and week. Fridays were the most common day for crashes, with 144 incidents, while Wednesdays (123) and Tuesdays (118) also saw high volumes. The afternoon commute period was the most hazardous time, with the single hour from 3:00 PM to 3:59 PM seeing the highest concentration of crashes (63). Overall, crashes occurred more often during daylight hours (495 incidents) compared to all periods of darkness and low light combined (206 incidents).

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

The majority of crashes resulted in no injuries. Out of 788 total crashes, 583 (74%) were classified as property-damage-only. The remaining 200 crashes involved some level of injury, including 134 with possible injuries, 50 with minor injuries, and 16 with serious injuries. There were 5 fatal crashes recorded during the year, which resulted in a total of 7 fatalities.

Severity is per crash event (most severe injury). 5 fatal crash events resulted in 7 persons killed.

Outcome by Severity (Crash Events)

Fatal5fatal crashes0.6%
Serious Injury16serious injury crashes2%
Minor Injury50minor injury crashes6.3%
Possible Injury134possible injury crashes17%
No Injury583no injury crashes74%

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

Analysis of contributing factors indicates that environmental and driver behaviors are key elements in crashes. The most cited factor was the presence of an animal, contributing to 82 crashes (10.4%). Driver actions such as following too closely (61 crashes), failing to yield the right-of-way from a stop sign (58 crashes), and driving too fast for conditions (50 crashes) were also leading causes. An additional 71 crashes were attributed to an unspecified 'Other' factor.

Officer-Reported Primary Contributing Cause

Animal82 (10.4%)
Other (explain in narrative): Other71 (9%)
Followed too close61 (7.7%)
FTYROW: From stop sign58 (7.4%)
Driving too fast for conditions50 (6.3%)
FTYROW: Making left turn32 (4.1%)
Lost Control31 (3.9%)
Ran Stop Sign25 (3.2%)
Driver Distraction: Other interior distraction24 (3%)
Ran off road - left24 (3%)

Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Contrary to what might be expected, most crashes occurred in ideal driving conditions. A majority of incidents took place in clear weather (454 crashes, 57.6%), during daylight hours (495 crashes, 62.8%), and on dry road surfaces (496 crashes, 62.9%). For comparison, only 35 crashes occurred during rain and 29 during snow, while 78 happened on wet roads and 53 on roads with ice or frost.

Weather

Clear454 (64.5%)
Cloudy173 (24.6%)
Rain35 (5.0%)
Snow29 (4.1%)
Freezing rain/drizzle9 (1.3%)
Blowing Snow2 (0.3%)
Severe Winds1 (0.1%)
Fog, smoke, smog1 (0.1%)

Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Weather condition at time of crash

Lighting

Daylight495 (70.6%)
Dark - roadway lighted108 (15.4%)
Dark - roadway not lighted64 (9.1%)
Dusk23 (3.3%)
Dark - unknown roadway lighting6 (0.9%)
Dawn5 (0.7%)

Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Lighting condition field

Road Surface

Dry496 (70.5%)
Wet78 (11.1%)
Snow60 (8.5%)
Ice/frost53 (7.5%)
Slush9 (1.3%)
Gravel8 (1.1%)

Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Road surface condition field

Vehicles & Demographics

Among the 1,622 people involved in crashes, young drivers and older drivers were highly represented, with the 16-20 age group accounting for 234 individuals and the 65+ age group accounting for 200. In terms of vehicle makes involved, Chevrolet (313 vehicles, including 'CHEV' and 'CHEVROLET' records) and Ford (234 vehicles) were the most frequent. Dodge (120 vehicles) and Toyota (115 vehicles) also appeared in over 100 instances each.

Top Vehicle Makes (1,357 vehicles)

1
FORD234 (17.2%)
2
CHEV216 (15.9%)
3
CHEVROLET97 (7.1%)
4
DODG78 (5.7%)
5
NR51 (3.8%)
6
BUIC49 (3.6%)
7
TOYT49 (3.6%)
8
PONT44 (3.2%)
9
CHRY44 (3.2%)
10
TOYOTA42 (3.1%)

Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records

223 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (1,142 persons with recorded sex)

Male604 (52.9%)
Female538 (47.1%)

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 causes of crashes in Webster County were interactions with animals, cited in 82 incidents. This was followed by driver behaviors, including following too closely (61 crashes), failure to yield right-of-way from a stop sign (58 crashes), and driving too fast for conditions (50 crashes). Losing control of the vehicle was listed as the major cause in 31 crashes.

Major Cause

1
Animal82 (11.8%)
2
Other (explain in narrative): Other71 (10.2%)
3
Followed too close61 (8.8%)
4
FTYROW: From stop sign58 (8.3%)
5
Driving too fast for conditions50 (7.2%)
6
FTYROW: Making left turn32 (4.6%)
7
Lost Control31 (4.5%)
8
Ran Stop Sign25 (3.6%)
9
Driver Distraction: Other interior distraction24 (3.4%)

Showing top 9 of 47 reported. 38 additional (262 total) not shown: Ran off road - left, FTYROW: From driveway, Ran off road - straight, Ran Traffic Signal, Swerving/Evasive Action, Operating vehicle in an reckless, erratic, careless, negligent manner, FTYROW: At uncontrolled intersection, Made improper turn, Driver Distraction: Exterior distraction, Other (explain in narrative): No improper action, FTYROW: Other (explain in narrative), Operator inexperience, Improper or erratic lane changing, Exceeded authorized speed, Driver Distraction: Inattentive/lost in thought, Ran off road - right, Improper Backing, Other (explain in narrative): Vision obstructed, Driver Distraction: Reaching for object(s)/fallen object(s), FTYROW: From parked position, Failed to keep in proper lane, Driver Distraction: Passenger, Driver Distraction: Adjusting devices (radio, climate), FTYROW: From yield sign, Illegally Parked/Unattended, Failed to yield to emergency vehicle, Aggressive driving/road rage, Driver Distraction: Other electronic device activity, Crossed centerline (undivided), Traveling on prohibited traffic way, Traveling wrong way or on wrong side of road, Cargo/equipment loss or shift, Passing: Other passing (explain in narrative), Over correcting/over steering, Equipment failure, Other (explain in narrative): Disregarded signs/road markings, Driver Distraction: Unrestrained animal, FTYROW: To pedestrian.

Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · 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 464 cases (58.9%). The second most frequent event was a collision with an animal, accounting for 81 crashes (10.3%). Single-vehicle run-off-road events were also significant, with collisions involving a ditch (30), a utility pole (26), and an overturn/rollover (26) being the most common outcomes.

First Harmful Event

1
Collision with: Vehicle in traffic464 (59.3%)
2
Collision with: Animal81 (10.4%)
3
Collision with: Parked motor vehicle43 (5.5%)
4
Collision with fixed object: Ditch30 (3.8%)
5
Non-collision events: Overturn/rollover26 (3.3%)
6
Collision with fixed object: Utility pole/light support26 (3.3%)
7
Miscellaneous events: Hit and run18 (2.3%)
8
Collision with: Re-entering roadway16 (2%)
9
Collision with: Non-motorist (see non-motorist section - NOT a unit)10 (1.3%)

Showing top 9 of 37 reported. 28 additional (68 total) not shown: Collision with fixed object: Curb/island/raised median, Other (explain in narrative), Collision with fixed object: Building, Collision with: Other non-fixed object (explain in narrative), Collision with fixed object: Bridge/bridge rail parapet, Collision with fixed object: Culvert/pipe opening, Collision with fixed object: Embankment, Collision with fixed object: Mailbox, Collision with fixed object: Traffic sign support, Collision with fixed object: Wall, Miscellaneous events: Eluding law enforcement, Non-collision events: Non-contact vehicle (phantom), Non-collision events: Other non-collision (explain in narrative), Non-collision events: Vehicle went airborne, Collision with fixed object: Guardrail - end, Collision with: Thrown or falling object, Collision with fixed object: Fire hydrant, Non-collision events: Fell/jumped from vehicle, Collision with fixed object: Tree, Miscellaneous events: Fire/explosion, Collision with fixed object: Other traffic barrier (explain in narrative), Collision with fixed object: Other post/pole/support (explain in narrative), Collision with fixed object: Cable barrier, Collision with fixed object: Concrete traffic barrier (median or right side), Collision with: Struck/struck by object/cargo/person from other vehicle, Collision with fixed object: Ground, Collision with: Work zone maintenance equipment, Collision with fixed object: Fence.

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 non-intersection roadway segments than at intersections. There were 359 crashes that occurred away from any junction or special feature. In contrast, four-way intersections were the most common type of junction for crashes, accounting for 196 incidents, followed by T-intersections with 44 crashes.

Roadway Junction / Feature

1
Non-intersection: Non-junction/no special feature359 (50.7%)
2
Intersection: Four-way intersection196 (27.7%)
3
Non-intersection: Driveway access (related, not in)45 (6.4%)
4
Intersection: T-intersection44 (6.2%)
5
Non-intersection: Driveway access (within)14 (2%)
6
Non-intersection: Other non-intersection (explain in narrative)8 (1.1%)
7
Intersection: L-intersection7 (1%)
8
Intersection: Other intersection (explain in narrative)7 (1%)
9
Non-intersection: Alley7 (1%)

Showing top 9 of 17 reported. 8 additional (21 total) not shown: Non-intersection: Railroad grade crossing, Intersection: Roundabout, Interchange-related: Off-ramp, Intersection: Y-intersection, Interchange-related: Other interchange (explain in narrative), Non-intersection: Crossover-related, Intersection: Intersection with ramp, Interchange-related: On-ramp.

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, with 629 vehicles recorded. Light trucks and SUVs were also frequently involved, with 275 four-tire light trucks (pick-ups) and 251 sport utility vehicles. Commercial vehicles, including tractor-trailers and other large trucks, were involved in 35 instances, while motorcycles were involved in 8 crashes.

Vehicle Type

"Other" combines 13 smaller categories (30 records): Motorcycle (8), Cargo/panel van (7), Truck tractor (bobtail) (2), Maintenance/construction vehicle (2), Farm tractor (2), Passenger van (seats 9-15) (2), All-terrain vehicle (ATV) (1), Other bus (seats > 15) (1), Other light truck (<=10000 lbs) (1), Other small bus (seats 9-15) (1), Snowmobile (1), Truck/trailer (1), Moped (1).

Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records

Traffic Control Device

The majority of vehicles involved in crashes were in areas with no traffic controls present, with this condition being noted for 755 vehicles. Where traffic controls were present, traffic signals were the most common device, associated with 246 vehicles in crashes. Stop signs were the next most frequent, noted for 203 vehicles.

Traffic Control Device

"Other" combines 3 smaller categories (12 records): Warning sign (5), Work zone sign (4), No Passing Zone (marked) (3).

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 impact, with 297 vehicles sustaining primary damage to the front, 134 to the front-passenger corner, and 131 to the front-driver corner. This suggests a high prevalence of frontal collisions. The rear of the vehicle was the primary point of damage for 136 vehicles, indicative of rear-end collisions.

Most Damaged Area

"Other" combines 10 smaller categories (303 records): Rear - driver side corner (59), Passenger side - front (54), Rear - passenger side corner (47), Passenger side - rear (47), Driver side - rear (43), Top (19), Non-collision/no damage (12), Undercarriage (12), Other (explain in narrative) (9), Cargo loss (1).

Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records

Impairment (Alcohol / Drugs)

Impairment was noted as a factor in a subset of crashes. There were 22 crashes involving driving under the influence (DUI), accounting for 2.8% of all crashes. Among the specific impairment types recorded for drivers, alcohol was cited in 24 instances and drugs were cited in 2 instances.

Crashes by City

Crash distribution across municipalities was heavily concentrated in Fort Dodge, which accounted for 572 of the 788 total crashes in the county. In contrast, other towns reported very few incidents, with Dayton, Gowrie, and Lehigh each recording 4 crashes. This highlights that the vast majority of urban crashes in the county occur within its largest city.

Crashes by City

1
FORT DODGE572 (95.5%)
2
DAYTON4 (0.7%)
3
GOWRIE4 (0.7%)
4
LEHIGH4 (0.7%)
5
HARCOURT3 (0.5%)
6
BADGER2 (0.3%)
7
BARNUM2 (0.3%)
8
CALLENDER2 (0.3%)
9
FARNHAMVILLE2 (0.3%)

Showing top 9 of 13 reported. 4 additional (4 total) not shown: DUNCOMBE, MOORLAND, OTHO, VINCENT.

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 occurred on paved roadways, with 766 incidents. A smaller but notable number of crashes, 21 in total, took place on unpaved surfaces such as gravel or dirt roads. This represents 2.7% of crashes for which the road surface type was specified.

Paved vs Unpaved Road

Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records

Roadway Contributing Factor

Among roadway-related contributing factors, adverse surface conditions such as wetness or ice were the most commonly cited, contributing to 97 crashes. Work zones were identified as a roadway factor in 10 crashes. Other factors like debris or ruts in the road were cited in fewer than 5 incidents each.

Roadway Contributing Factor

1
Surface condition (e.g.wet, icy)97 (82.2%)
2
Work Zone (roadway-related)10 (8.5%)
3
Slippery, loose or worn surface5 (4.2%)
4
Debris3 (2.5%)
5
Ruts/holes/bumps1 (0.8%)
6
Traffic backup, prior crash1 (0.8%)
7
Obstruction in roadway1 (0.8%)

Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records

Driver Condition

When a driver's condition was noted as something other than 'apparently normal,' impairment was the most frequent observation. Being under the influence of alcohol was recorded for 29 drivers. Other non-normal conditions included being emotional (10 drivers), having a medical condition such as a seizure (6 drivers), and being asleep or fatigued (5 drivers).

Driver Condition

1
Under the influence of alcohol29 (50.9%)
2
Emotional (e.g. depressed, angry)10 (17.5%)
3
Medical condition (seizure, reaction)6 (10.5%)
4
Asleep/fatigued5 (8.8%)
5
Under the influence of drugs/meds4 (7%)
6
Impaired due to previous injury1 (1.8%)
7
Physical impairment1 (1.8%)
8
Illness/fainted1 (1.8%)

Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records

Property Damage

The estimated property damage for the majority of crashes fell into the '$1,500 - $7,500' range, which applied to 617 incidents (78.3%). A smaller number of crashes resulted in more severe financial impact, with 125 crashes causing damage between $7,500 and $25,000, and 19 crashes exceeding $25,000 in estimated damage.

Property Damage

Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records

Manner of Collision

Single-vehicle, non-collision events such as running off the road or overturning were the most frequent manner of collision, accounting for 223 crashes (28.3%). This was followed by rear-end collisions, with 175 incidents (22.2%), and broadside (angle) collisions, with 153 incidents (19.4%).

Manner of Collision

"Other" combines 3 smaller categories (43 records): Head-on (front to front) (20), Sideswipe, opposite direction (14), Rear to rear (9).

Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records

Pre-Crash Driver Action

The most common action drivers were taking immediately before a crash was moving straight ahead, which was the case for 676 vehicles. Turning left was the pre-crash action for 142 vehicles. A significant number of crashes also involved stationary vehicles, with 108 legally parked vehicles being struck.

Pre-Crash Driver Action

1
Movement essentially straight676 (53.9%)
2
Turning left142 (11.3%)
3
Legally Parked108 (8.6%)
4
Stopped in traffic72 (5.7%)
5
Slowing/stopping (deceleration)66 (5.3%)
6
Backing64 (5.1%)
7
Turning right44 (3.5%)
8
Other (explain in narrative)22 (1.8%)
9
Entering traffic lane (merging)13 (1%)

Showing top 9 of 18 reported. 9 additional (48 total) not shown: Negotiating a curve, Changing lanes, Accelerating in road, Making U-turn, Overtaking/passing, Starting in road, Illegally Parked/Unattended, Leaving traffic lane, Leaving a parked position.

Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records

Pedestrian/Cyclist Action

For the 13 non-motorists involved in crashes, the most common actions at the time of collision were 'approaching or leaving a vehicle' and 'entering or crossing a roadway,' with 4 individuals recorded for each action. Two individuals were moving along the roadway with traffic when the crash occurred.

Pedestrian/Cyclist Action

1
Approaching or leaving vehicle4 (30.8%)
2
Entering or crossing roadway4 (30.8%)
3
Movement: Along roadway with traffic2 (15.4%)
4
Going to/coming from school1 (7.7%)
5
Movement: Along roadway (direction unknown)1 (7.7%)
6
Movement: On sidewalk1 (7.7%)

Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Non-motorist records linked to crash events

Person Type

A total of 1,622 individuals were involved in crashes, the vast majority of whom were drivers (1,542 people, or 95.1%). Passengers made up the next largest group with 67 individuals (4.1%). A small fraction of those involved were vulnerable road users, including 7 pedestrians and 4 bicyclists.

Person Type

Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records

Person Injury Severity

Among all persons involved in crashes, a total of 231 individuals sustained some level of injury. This included 7 fatal injuries, 23 serious injuries, 60 minor injuries, and 141 possible injuries. An additional 34 individuals involved in injury-causing crashes were determined to have no injuries themselves.

Person Injury Severity

Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records

Occupant Safety Equipment

Data on safety equipment use was recorded for 174 individuals. Of these, 143 (82%) were reported to be using a shoulder and lap belt. Conversely, 21 individuals were explicitly recorded as using no safety equipment at the time of their crash.

Occupant Safety Equipment

"Other" combines 2 smaller categories (2 records): Child safety seat (forward-facing) (1), Helmet (DOT compliant) (1).

Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Person-level records linked to crash events

Vehicles Per Crash

Two-vehicle collisions were the most common type of crash, accounting for 523 incidents or 66.4% of the total. Single-vehicle crashes were the second most frequent, with 244 incidents (30.9%). Crashes involving three or more vehicles were less common, with 17 three-vehicle and 4 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: 788
  • Total persons involved: 1,622
  • Total vehicles involved: 1,357

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