Yearly Traffic Safety Analysis

9,961 CRASHES IN
IOWA, IA
2015

In 2015, Polk County, IA experienced 9,961 crashes, resulting in 20 fatalities and 3,575 injuries. The most frequent contributing factor to crashes was following too closely, accounting for 1,739 incidents or 17.5% of all crashes.

9,961

Total Crash Events

20

Persons Killed

3,575

Persons Injured

19

Fatal Crash Events

Note: "Persons Killed" (20) counts individual fatalities across all crash events. "Fatal" in the severity table below (19) 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 the highest number of fatalities and injuries, with 15 killed and 3,394 injured. Pedestrians were the next most impacted group, with 4 fatalities and 110 injuries. Cyclists experienced 1 fatality and 67 injuries during the same period.

4

Pedestrians Killed

1

Cyclists Killed

15

Motorists Killed

0

Other Killed

110

Pedestrians Injured

67

Cyclists Injured

3,394

Motorists Injured

4

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

Crashes in Polk County, IA in 2015 peaked on Fridays, with 1,717 incidents reported. The highest number of crashes by hour occurred at 5 PM, totaling 985 incidents. Early morning hours, specifically 4 AM, recorded the lowest number of crashes at 68.

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

Out of 9,961 crashes in 2015, 19 were fatal incidents, while 3,158 crashes involved some level of injury (serious, minor, or possible). A significant majority, 6,784 crashes (68.1%), resulted in no reported injuries. Overall, 20 persons were killed and 3,575 persons were injured across all crashes.

Severity is per crash event (most severe injury). 19 fatal crash events resulted in 20 persons killed.

Outcome by Severity (Crash Events)

Fatal19fatal crashes0.2%
Serious Injury154serious injury crashes1.5%
Minor Injury802minor injury crashes8.1%
Possible Injury2,202possible injury crashes22.1%
No Injury6,784no injury crashes68.1%

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 leading contributing factor to crashes in 2015 was 'Followed too close', involved in 1,739 incidents (17.5%). Other significant factors included 'FTYROW: Making left turn' with 688 incidents (6.9%) and 'Other (explain in narrative): Other' with 675 incidents (6.8%). 'Driving too fast for conditions' and 'Ran Traffic Signal' each contributed to 589 crashes (5.9%).

Officer-Reported Primary Contributing Cause

Followed too close1,739 (17.5%)
FTYROW: Making left turn688 (6.9%)
Other (explain in narrative): Other675 (6.8%)
Driving too fast for conditions589 (5.9%)
Ran Traffic Signal589 (5.9%)
Ran off road - left526 (5.3%)
FTYROW: From stop sign453 (4.5%)
Operating vehicle in an reckless, erratic, careless, negligent manner344 (3.5%)
Lost Control313 (3.1%)
Animal294 (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

A majority of crashes in 2015 occurred under favorable conditions, with 57.8% happening in clear weather, 71.6% on dry road surfaces, and 70.6% during daylight hours. Conversely, 1,006 crashes occurred in rain, 387 in snow, and 70 in freezing rain/drizzle. Wet road surfaces were reported in 1,619 crashes, and dark conditions (roadway lighted or not) were present in 2,309 crashes.

Weather

Clear5,762 (59.3%)
Cloudy2,391 (24.6%)
Rain1,006 (10.3%)
Snow387 (4.0%)
Freezing rain/drizzle70 (0.7%)
Blowing Snow52 (0.5%)
Fog, smoke, smog45 (0.5%)
Severe Winds6 (0.1%)
Sleet, hail5 (0.1%)

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

Lighting

Daylight7,030 (72.0%)
Dark - roadway lighted1,973 (20.2%)
Dark - roadway not lighted336 (3.4%)
Dusk210 (2.2%)
Dawn187 (1.9%)
Dark - unknown roadway lighting29 (0.3%)

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

Road Surface

Dry7,132 (73.4%)
Wet1,619 (16.7%)
Snow536 (5.5%)
Ice/frost314 (3.2%)
Slush84 (0.9%)
Gravel14 (0.1%)
Other (explain in narrative)9 (0.1%)
Sand3 (0.0%)
Mud, dirt3 (0.0%)
Oil2 (0.0%)

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

Vehicles & Demographics

Among vehicles involved in crashes, Ford was the most frequently reported make with 2,924 vehicles, followed by Chevrolet with a combined 3,549 vehicles (CHEV and CHEVROLET). Toyota vehicles (TOYT and TOYOTA) were involved in 1,674 incidents, and Dodge vehicles (DODG and DODGE) in 1,392 incidents. The age groups most represented among persons involved in crashes were 26-34 years old (4,272 persons) and 35-44 years old (3,697 persons).

Top Vehicle Makes (19,406 vehicles)

1
FORD2,924 (15.1%)
2
CHEV2,467 (12.7%)
3
TOYT1,207 (6.2%)
4
CHEVROLET1,082 (5.6%)
5
DODG923 (4.8%)
6
HOND802 (4.1%)
7
NR639 (3.3%)
8
JEEP621 (3.2%)
9
NISS601 (3.1%)
10
DODGE469 (2.4%)

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

2,152 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (17,245 persons with recorded sex)

Male9,508 (55.1%)
Female7,737 (44.9%)

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

Major Cause

The primary contributing factors to crashes in Polk County in 2015 were 'Followed too close' (1,739 incidents), 'FTYROW: Making left turn' (688 incidents), and 'Other (explain in narrative): Other' (675 incidents). Additionally, 'Driving too fast for conditions' and 'Ran Traffic Signal' each contributed to 589 crashes. These top five factors highlight common driver behaviors preceding crashes.

Major Cause

1
Followed too close1,739 (19.6%)
2
FTYROW: Making left turn688 (7.8%)
3
Other (explain in narrative): Other675 (7.6%)
4
Driving too fast for conditions589 (6.7%)
5
Ran Traffic Signal589 (6.7%)
6
Ran off road - left526 (5.9%)
7
FTYROW: From stop sign453 (5.1%)
8
Operating vehicle in an reckless, erratic, careless, negligent manner344 (3.9%)
9
Lost Control313 (3.5%)

Showing top 9 of 49 reported. 40 additional (2,940 total) not shown: Animal, Improper or erratic lane changing, Ran Stop Sign, Made improper turn, FTYROW: From driveway, Driver Distraction: Other interior distraction, Ran off road - straight, FTYROW: Other (explain in narrative), Swerving/Evasive Action, Driver Distraction: Exterior distraction, Other (explain in narrative): No improper action, Exceeded authorized speed, Driver Distraction: Inattentive/lost in thought, Failed to keep in proper lane, Improper Backing, Driver Distraction: Reaching for object(s)/fallen object(s), FTYROW: At uncontrolled intersection, Driver Distraction: Passenger, FTYROW: To pedestrian, FTYROW: Making right turn on red signal, Traveling wrong way or on wrong side of road, Aggressive driving/road rage, Other (explain in narrative): Vision obstructed, Ran off road - right, FTYROW: From parked position, Driver Distraction: Adjusting devices (radio, climate), Driver Distraction: Manual operation of an electronic communication device, Driver Distraction: Other electronic device activity, Driver Distraction: Talking on a hand-held device, Passing: Through/around barrier, FTYROW: From yield sign, Passing: Other passing (explain in narrative), Crossed centerline (undivided), Illegally Parked/Unattended, Operator inexperience, Failed to yield to emergency vehicle, Over correcting/over steering, Passing: With insufficient distance/inadequate visibility, Equipment failure, Passing: On wrong side.

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

First Harmful Event

The most common first harmful event in crashes was a 'Collision with: Vehicle in traffic', accounting for 7,649 incidents. Collisions with fixed objects totaled 1,017 incidents, with utility poles/light supports being the most frequent at 220. Collisions with animals were also noted in 275 incidents.

First Harmful Event

1
Collision with: Vehicle in traffic7,649 (77.2%)
2
Collision with: Parked motor vehicle357 (3.6%)
3
Collision with: Animal275 (2.8%)
4
Collision with fixed object: Utility pole/light support220 (2.2%)
5
Collision with: Non-motorist (see non-motorist section - NOT a unit)165 (1.7%)
6
Collision with fixed object: Curb/island/raised median136 (1.4%)
7
Collision with fixed object: Concrete traffic barrier (median or right side)119 (1.2%)
8
Miscellaneous events: Hit and run99 (1%)
9
Collision with fixed object: Ditch86 (0.9%)

Showing top 9 of 48 reported. 39 additional (803 total) not shown: Non-collision events: Other non-collision (explain in narrative), Non-collision events: Overturn/rollover, Collision with: Re-entering roadway, Collision with fixed object: Cable barrier, Collision with fixed object: Tree, Non-collision events: Non-contact vehicle (phantom), Other (explain in narrative), Collision with fixed object: Other post/pole/support (explain in narrative), Collision with fixed object: Guardrail - face, Collision with fixed object: Fence, Collision with: Struck/struck by object/cargo/person from other vehicle, Collision with fixed object: Traffic sign support, Collision with fixed object: Fire hydrant, Collision with fixed object: Bridge/bridge rail parapet, Collision with fixed object: Mailbox, Non-collision events: Jackknife, Collision with fixed object: Embankment, Collision with: Other non-fixed object (explain in narrative), Collision with fixed object: Guardrail - end, Non-collision events: Fell/jumped from vehicle, Collision with fixed object: Other fixed object (explain in narrative), Collision with fixed object: Wall, Collision with fixed object: Ground, Collision with: Thrown or falling object, Non-collision events: Vehicle went airborne, Collision with fixed object: Other traffic barrier (explain in narrative), Collision with fixed object: Traffic signal support, Collision with fixed object: Building, Collision with fixed object: Impact attenuator/crash cushion, Collision with fixed object: Landscape/shrubbery, Collision with fixed object: Culvert/pipe opening, Miscellaneous events: Eluding law enforcement, Collision with: Work zone maintenance equipment, Miscellaneous events: Fire/explosion, Collision with fixed object: Bridge overhead structure, Miscellaneous events: Vehicle out of gear/rolled, Collision with fixed object: Bridge pier or support, Collision with: Railway vehicle/train, Collision with fixed object: Snow bank.

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

Roadway Junction / Feature

A majority of crashes, 5,252 incidents (52.7%), occurred at non-intersection locations, primarily described as 'Non-junction/no special feature' (4,559 incidents). Intersections accounted for 4,130 crashes (41.5%), with 'Four-way intersection' being the most common type at 3,064 incidents.

Roadway Junction / Feature

1
Non-intersection: Non-junction/no special feature4,559 (46.6%)
2
Intersection: Four-way intersection3,064 (31.3%)
3
Intersection: T-intersection688 (7%)
4
Non-intersection: Driveway access (related, not in)443 (4.5%)
5
Intersection: Other intersection (explain in narrative)169 (1.7%)
6
Intersection: Intersection with ramp149 (1.5%)
7
Interchange-related: On-ramp merge area127 (1.3%)
8
Interchange-related: Off-ramp108 (1.1%)
9
Non-intersection: Driveway access (within)105 (1.1%)

Showing top 9 of 23 reported. 14 additional (372 total) not shown: Non-intersection: Other non-intersection (explain in narrative), Interchange-related: Off-ramp, diverge area, Interchange-related: On-ramp, Non-intersection: Crossover-related, Interchange-related: Mainline, between ramps, Non-intersection: Alley, Interchange-related: Other interchange (explain in narrative), Intersection: Five points or more, Intersection: L-intersection, Intersection: Y-intersection, Intersection: Roundabout, Non-intersection: Railroad grade crossing, Non-intersection: Bike lanes, Intersection: Traffic circle.

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, totaling 9,962 vehicles (51.3% of all vehicles). Sport utility vehicles (SUVs) accounted for 4,446 vehicles (22.9%), followed by four-tire light trucks (pick-up/panel) with 2,371 vehicles (12.2%). Tractor/semi-trailers were involved in 285 incidents, and motorcycles in 146 incidents.

Vehicle Type

"Other" combines 21 smaller categories (433 records): Single unit truck (2-axle, 6-tire) (144), Single-unit truck (>= 3 axles) (95), Passenger van (seats 9-15) (41), School bus (seats > 15) (28), Other bus (seats > 15) (24), Other (explain in narrative) (17), Truck/trailer (14), Moped (12), Other light truck (<=10000 lbs) (9), All-terrain vehicle (ATV) (8), Maintenance/construction vehicle (7), Other small bus (seats 9-15) (6), Tractor/doubles (6), Truck tractor (bobtail) (6), Motor home/recreational vehicle (5), Farm equipment (explain in narrative) (3), Other heavy truck (> 10000 lbs) (cannot classify) (3), Small school bus (seats 9-15) (2), Train (1), Farm tractor (1), Limousine/taxi (sets >15) (1).

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

Traffic Control Device

Among vehicles involved in crashes, 10,288 (54.1%) were in areas with 'No controls present'. Traffic signals were the most common control device where crashes occurred, affecting 6,802 vehicles (35.8%). Stop signs were present for 1,560 vehicles involved in crashes.

Traffic Control Device

"Other" combines 6 smaller categories (55 records): Railway crossing device (14), Warning sign (14), Inoperative (not functioning properly) (11), No Passing Zone (marked) (7), School zone signs (5), Traffic director (person) (4).

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

Most Damaged Area

The front of vehicles was the most common area of damage, reported in 5,765 incidents. Rear damage occurred in 3,513 incidents, indicating a significant number of rear-end collisions. Side impacts, combining driver and passenger side damage, accounted for approximately 3,603 incidents.

Most Damaged Area

"Other" combines 10 smaller categories (3,544 records): Passenger side - front (845), Driver side - rear (631), Passenger side - rear (628), Rear - driver side corner (583), Rear - passenger side corner (448), Other (explain in narrative) (155), Top (93), Undercarriage (87), Non-collision/no damage (71), Cargo loss (3).

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

Impairment (Alcohol / Drugs)

A total of 291 crashes in Polk County in 2015 were attributed to driving under the influence, representing 2.9% of all crashes. Among the persons for whom impairment was recorded, 251 were under the influence of alcohol, 19 were under the influence of drugs, and 9 were under the influence of both alcohol and drugs.

Crashes by City

In Polk County, Des Moines recorded the highest number of crashes with 5,469 incidents. Ankeny and West Des Moines followed with 951 and 902 crashes, respectively. Urbandale reported 658 crashes, while Clive had 308 crashes.

Crashes by City

1
DES MOINES5,469 (59%)
2
ANKENY951 (10.3%)
3
WEST DES MOINES902 (9.7%)
4
URBANDALE658 (7.1%)
5
CLIVE308 (3.3%)
6
ALTOONA234 (2.5%)
7
PLEASANT HILL178 (1.9%)
8
GRIMES167 (1.8%)
9
JOHNSTON140 (1.5%)

Showing top 9 of 19 reported. 10 additional (258 total) not shown: WINDSOR HEIGHTS, BONDURANT, POLK CITY, RUNNELLS, NORWALK, MITCHELLVILLE, ELKHART, ALLEMAN, SHELDAHL, CARLISLE.

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 in Polk County occurred on paved roadways, totaling 9,917 incidents. Only 31 crashes, or 0.31% of the total, were reported on unpaved surfaces.

Paved vs Unpaved Road

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

Roadway Contributing Factor

Roadway surface conditions, such as wet or icy surfaces, were cited as a contributing factor in 983 crashes. Work zones were a factor in 88 crashes, while slippery, loose, or worn surfaces contributed to 42 incidents. These factors were noted in a minority of overall crashes.

Roadway Contributing Factor

1
Surface condition (e.g.wet, icy)983 (79.9%)
2
Work Zone (roadway-related)88 (7.1%)
3
Slippery, loose or worn surface42 (3.4%)
4
Traffic backup, regular congestion36 (2.9%)
5
Traffic backup, prior crash35 (2.8%)
6
Debris19 (1.5%)
7
Disabled vehicle9 (0.7%)
8
Traffic backup, prior non-recurring incident7 (0.6%)
9
Obstruction in roadway6 (0.5%)

Showing top 9 of 13 reported. 4 additional (6 total) not shown: Shoulders (none, low, soft, high), Non-highway work, Ruts/holes/bumps, Traffic control obscured.

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

Driver Condition

Among drivers with conditions other than 'apparently normal', 359 were recorded as 'under the influence of alcohol'. 'Emotional (e.g. depressed, angry)' was noted for 76 drivers, and 64 drivers were 'asleep/fatigued'. Medical conditions accounted for 43 drivers.

Driver Condition

1
Under the influence of alcohol359 (60.1%)
2
Emotional (e.g. depressed, angry)76 (12.7%)
3
Asleep/fatigued64 (10.7%)
4
Medical condition (seizure, reaction)43 (7.2%)
5
Under the influence of drugs/meds20 (3.4%)
6
Paraplegic/wheelchair restricted13 (2.2%)
7
Illness/fainted8 (1.3%)
8
Physical impairment5 (0.8%)
9
Visually impaired5 (0.8%)

Showing top 9 of 12 reported. 3 additional (4 total) not shown: Walks with a cane/crutches, Impaired due to previous injury, Hearing impaired/deaf.

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

Property Damage

The most common property damage cost range was between $1,500 and $7,500, encompassing 7,380 crashes (74.1%). Crashes with property damage exceeding $25,000 accounted for 115 incidents, representing 1.15% of all crashes.

Property Damage

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

Manner of Collision

Rear-end collisions were the most frequent manner of collision, accounting for 3,626 incidents or 36.4% of all crashes. Broadside collisions (front to side) were the second most common at 1,840 incidents (18.5%). Single-vehicle non-collision events comprised 1,582 incidents (15.9%).

Manner of Collision

"Other" combines 3 smaller categories (310 records): Sideswipe, opposite direction (155), Rear to side (130), Rear to rear (25).

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

Pre-Crash Driver Action

The dominant pre-crash action for drivers was 'Movement essentially straight', observed in 10,660 instances (56.1%). 'Turning left' was the next most frequent action, occurring 1,973 times (10.4%). 'Slowing/stopping (deceleration)' was reported in 1,706 instances (9.0%).

Pre-Crash Driver Action

1
Movement essentially straight10,660 (56.7%)
2
Turning left1,973 (10.5%)
3
Slowing/stopping (deceleration)1,706 (9.1%)
4
Stopped in traffic1,418 (7.5%)
5
Turning right726 (3.9%)
6
Legally Parked715 (3.8%)
7
Changing lanes517 (2.8%)
8
Other (explain in narrative)299 (1.6%)
9
Backing285 (1.5%)

Showing top 9 of 19 reported. 10 additional (501 total) not shown: Entering traffic lane (merging), Negotiating a curve, Overtaking/passing, Accelerating in road, Making U-turn, Illegally Parked/Unattended, Leaving traffic lane, Starting in road, Leaving a parked position, Entering a parked position.

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

Pedestrian/Cyclist Action

The most common action for pedestrians involved in crashes was 'Entering or crossing roadway', accounting for 117 instances. Other reported actions included 'Other' with 18 instances and 'Movement: On sidewalk' with 16 instances.

Pedestrian/Cyclist Action

1
Entering or crossing roadway117 (63.9%)
2
Other18 (9.8%)
3
Movement: On sidewalk16 (8.7%)
4
Movement: Along roadway with traffic13 (7.1%)
5
Going to/coming from school10 (5.5%)
6
Movement: Along roadway (direction unknown)3 (1.6%)
7
Working in trafficway2 (1.1%)
8
Approaching or leaving vehicle2 (1.1%)
9
Waiting to cross roadway1 (0.5%)

Showing top 9 of 10 reported. 1 additional (1 total) not shown: Entering/exiting vehicle.

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

Person Type

Drivers constituted the overwhelming majority of persons involved in crashes, totaling 22,603 individuals (95.9%). Passengers accounted for 774 individuals (3.3%), while pedestrians made up 114 individuals (0.5%). Bicyclists represented 68 individuals (0.3%) involved in crashes.

Person Type

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

Person Injury Severity

Among persons for whom injury severity was recorded, 20 (0.48%) sustained fatal injuries and 3,575 (86.0%) sustained some level of injury (serious, minor, or possible). The remaining 563 individuals (13.5%) sustained no apparent injury.

Person Injury Severity

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

Occupant Safety Equipment

For occupants with recorded safety equipment use, 'Shoulder and lap belt used' was reported for 2,369 individuals. 'None used' was indicated for 142 individuals, representing 5.35% of those with recorded safety equipment information. Child safety seats were used by 38 individuals.

Occupant Safety Equipment

"Other" combines 4 smaller categories (22 records): Child safety seat (rear-facing) (10), Booster seat (6), Child safety seat (type unknown) (3), Helmet (other) (3).

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

Vehicles Per Crash

The majority of crashes, 7,400 incidents (74.3%), involved two vehicles. Single-vehicle crashes accounted for 1,623 incidents (16.3%). Multi-vehicle crashes involving three or more vehicles totaled 938 incidents, with 22 crashes involving five or more vehicles.

Vehicles Per Crash

"Other" combines 1 smaller categories (1 records): 9 (1).

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: 9,961
  • Total persons involved: 23,564
  • Total vehicles involved: 19,406

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

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