Yearly Traffic Safety Analysis

2,087 CRASHES IN
IOWA, IA
2015

In 2015, Pottawattamie County recorded 2,087 total traffic crashes, resulting in 13 fatalities and 810 injuries. These incidents involved 3,588 vehicles and 4,516 individuals. A notable finding from the data is that following too closely was the leading contributing factor, cited in 14.4% of all crashes.

2,087

Total Crash Events

13

Persons Killed

810

Persons Injured

13

Fatal Crash Events

Note: "Persons Killed" (13) counts individual fatalities across all crash events. "Fatal" in the severity table below (13) 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 largest group of traffic fatalities and injuries. Ten motorists were killed and 755 were injured in crashes. Vulnerable road users were also impacted; two pedestrians were killed and 28 were injured, while one cyclist was killed and 22 were injured.

2

Pedestrians Killed

1

Cyclists Killed

10

Motorists Killed

0

Other Killed

28

Pedestrians Injured

22

Cyclists Injured

755

Motorists Injured

5

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 frequency in Pottawattamie County peaked on Fridays, which saw 341 incidents in 2015. The single most common time for a crash was the 3 p.m. hour, with 191 events recorded. Consistent with these commuter-hour peaks, a majority of crashes, 1,328 in total, occurred during daylight hours.

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 2,087 crashes, 1,397 (66.9%) resulted in no injuries, being classified as property damage only. The remaining 690 crashes involved some level of injury, ranging from possible (427 crashes) to serious (49 crashes). There were 13 fatal crashes, which resulted in a total of 13 persons killed.

Outcome by Severity (Crash Events)

Fatal13fatal crashes0.6%
Serious Injury49serious injury crashes2.3%
Minor Injury201minor injury crashes9.6%
Possible Injury427possible injury crashes20.5%
No Injury1,397no injury crashes66.9%

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 common contributing factor identified in 2015 crashes was 'Followed too close,' which was cited in 301 incidents, accounting for 14.4% of the total. Collisions with animals were the second-leading cause, noted in 212 crashes (10.2%). 'Lost Control' was the third most frequent factor, contributing to 148 crashes (7.1%).

Officer-Reported Primary Contributing Cause

Followed too close301 (14.4%)
Animal212 (10.2%)
Lost Control148 (7.1%)
Ran off road - left127 (6.1%)
Ran off road - straight101 (4.8%)
FTYROW: From stop sign86 (4.1%)
Other (explain in narrative): Other82 (3.9%)
Ran Traffic Signal74 (3.5%)
Made improper turn73 (3.5%)
Ran Stop Sign72 (3.4%)

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 traffic crashes in 2015 occurred in favorable conditions. Specifically, 1,265 crashes (60.6%) happened in clear weather, 1,441 (69.0%) on dry road surfaces, and 1,328 (63.6%) in daylight. Adverse conditions were less frequent, with 156 crashes occurring during rain, 89 in snow, and 291 on wet roads. Crashes in darkness occurred in 515 instances, split between lighted and unlighted roadways.

Weather

Clear1,265 (66.0%)
Cloudy361 (18.8%)
Rain156 (8.1%)
Snow89 (4.6%)
Freezing rain/drizzle26 (1.4%)
Severe Winds7 (0.4%)
Blowing Snow6 (0.3%)
Fog, smoke, smog5 (0.3%)
Sleet, hail2 (0.1%)

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

Lighting

Daylight1,328 (69.0%)
Dark - roadway lighted310 (16.1%)
Dark - roadway not lighted205 (10.7%)
Dawn39 (2.0%)
Dusk33 (1.7%)
Dark - unknown roadway lighting9 (0.5%)

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

Road Surface

Dry1,441 (75.1%)
Wet291 (15.2%)
Snow83 (4.3%)
Ice/frost49 (2.6%)
Gravel38 (2.0%)
Slush14 (0.7%)
Other (explain in narrative)1 (0.1%)
Mud, dirt1 (0.1%)

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

Vehicles & Demographics

Among the 4,516 people involved in crashes, the 26-34 age group was the most represented with 699 individuals, followed by the 35-44 and 45-54 age groups, each with 600 individuals. An analysis of the 3,588 vehicles involved shows that Chevrolet was the most frequent make with 641 vehicles, followed by Ford with 568 vehicles, and Dodge with 279 vehicles.

Top Vehicle Makes (3,588 vehicles)

1
FORD568 (15.8%)
2
CHEV333 (9.3%)
3
CHEVROLET308 (8.6%)
4
DODGE140 (3.9%)
5
DODG139 (3.9%)
6
JEEP123 (3.4%)
7
NR115 (3.2%)
8
KIA107 (3%)
9
HONDA101 (2.8%)
10
GMC96 (2.7%)

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

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

Sex Distribution (2,901 persons with recorded sex)

Male1,672 (57.6%)
Female1,229 (42.4%)

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 assigned to crashes was 'Followed too close,' cited in 301 incidents. The second most frequent cause was interaction with an 'Animal,' noted in 212 crashes. 'Lost Control' was the third-ranked cause, contributing to 148 crashes.

Major Cause

1
Followed too close301 (15.8%)
2
Animal212 (11.1%)
3
Lost Control148 (7.8%)
4
Ran off road - left127 (6.7%)
5
Ran off road - straight101 (5.3%)
6
FTYROW: From stop sign86 (4.5%)
7
Other (explain in narrative): Other82 (4.3%)
8
Ran Traffic Signal74 (3.9%)
9
Made improper turn73 (3.8%)

Showing top 9 of 49 reported. 40 additional (699 total) not shown: Ran Stop Sign, FTYROW: Making left turn, Driving too fast for conditions, Other (explain in narrative): No improper action, Improper or erratic lane changing, Operating vehicle in an reckless, erratic, careless, negligent manner, Driver Distraction: Other interior distraction, FTYROW: From driveway, Driver Distraction: Inattentive/lost in thought, Swerving/Evasive Action, Exceeded authorized speed, FTYROW: Other (explain in narrative), FTYROW: At uncontrolled intersection, Improper Backing, Ran off road - right, Failed to keep in proper lane, Driver Distraction: Exterior distraction, Passing: Other passing (explain in narrative), Driver Distraction: Manual operation of an electronic communication device, FTYROW: Making right turn on red signal, FTYROW: From yield sign, Traveling wrong way or on wrong side of road, FTYROW: From parked position, Driver Distraction: Reaching for object(s)/fallen object(s), Passing: With insufficient distance/inadequate visibility, FTYROW: To pedestrian, Cargo/equipment loss or shift, Passing: Through/around barrier, Other (explain in narrative): Vision obstructed, Disregarded RR Signal, Driver Distraction: Passenger, Driver Distraction: Talking on a hand-held device, Failed to yield to emergency vehicle, Equipment failure, Illegally Parked/Unattended, Other (explain in narrative): Disregarded signs/road markings, Other (explain in narrative): Improper operation, Over correcting/over steering, Passing: Where prohibited by signs/markings, Driver Distraction: Adjusting devices (radio, climate).

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 was a 'Collision with: Vehicle in traffic,' which occurred in 1,188 crashes. The second most frequent event was a 'Collision with: Animal,' recorded in 205 incidents. Single-vehicle run-off-road events were also common, with the first harmful event being an 'Overturn/rollover' in 85 crashes and a collision with a ditch in 99 crashes.

First Harmful Event

1
Collision with: Vehicle in traffic1,188 (57.3%)
2
Collision with: Animal205 (9.9%)
3
Collision with fixed object: Ditch99 (4.8%)
4
Collision with: Parked motor vehicle97 (4.7%)
5
Non-collision events: Overturn/rollover85 (4.1%)
6
Collision with: Non-motorist (see non-motorist section - NOT a unit)46 (2.2%)
7
Collision with fixed object: Utility pole/light support39 (1.9%)
8
Collision with fixed object: Curb/island/raised median26 (1.3%)
9
Collision with fixed object: Guardrail - face21 (1%)

Showing top 9 of 44 reported. 35 additional (269 total) not shown: Miscellaneous events: Hit and run, Collision with fixed object: Tree, Collision with fixed object: Embankment, Non-collision events: Other non-collision (explain in narrative), Collision with fixed object: Bridge/bridge rail parapet, Collision with fixed object: Fence, Non-collision events: Jackknife, Other (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: Re-entering roadway, Collision with fixed object: Ground, Collision with: Other non-fixed object (explain in narrative), Collision with fixed object: Bridge overhead structure, Collision with fixed object: Traffic sign support, Non-collision events: Non-contact vehicle (phantom), Collision with fixed object: Other traffic barrier (explain in narrative), Collision with: Struck/struck by object/cargo/person from other vehicle, Collision with fixed object: Guardrail - end, Collision with fixed object: Other fixed object (explain in narrative), Collision with fixed object: Mailbox, Collision with fixed object: Culvert/pipe opening, Non-collision events: Fell/jumped from vehicle, Collision with fixed object: Building, Collision with fixed object: Traffic signal support, Collision with fixed object: Fire hydrant, Collision with fixed object: Wall, Collision with fixed object: Snow bank, Collision with: Railway vehicle/train, Collision with: Thrown or falling object, Collision with: Work zone maintenance equipment, Collision with fixed object: Impact attenuator/crash cushion, Miscellaneous events: Vehicle out of gear/rolled, Non-collision events: Vehicle went airborne.

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

Roadway Junction / Feature

A majority of crashes, 1,136 incidents, occurred at non-intersection locations. Four-way intersections were the most common type of junction for crashes, accounting for 461 incidents. T-intersections were the site of 82 crashes, while incidents related to interchange ramps, including merge and diverge areas, accounted for a combined 70 crashes.

Roadway Junction / Feature

1
Non-intersection: Non-junction/no special feature1,136 (59%)
2
Intersection: Four-way intersection461 (23.9%)
3
Intersection: T-intersection82 (4.3%)
4
Non-intersection: Driveway access (related, not in)57 (3%)
5
Interchange-related: On-ramp merge area30 (1.6%)
6
Non-intersection: Other non-intersection (explain in narrative)27 (1.4%)
7
Intersection: Intersection with ramp19 (1%)
8
Non-intersection: Driveway access (within)17 (0.9%)
9
Interchange-related: Off-ramp, diverge area16 (0.8%)

Showing top 9 of 21 reported. 12 additional (81 total) not shown: Intersection: Other intersection (explain in narrative), Interchange-related: Off-ramp, Interchange-related: On-ramp, Non-intersection: Railroad grade crossing, Non-intersection: Alley, Intersection: Y-intersection, Interchange-related: Other interchange (explain in narrative), Non-intersection: Crossover-related, Intersection: L-intersection, Intersection: Five points or more, Intersection: Roundabout, Non-intersection: Bike lanes.

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 1,769 of the vehicles. Sport utility vehicles were the second most frequent with 658 vehicles, followed by four-tire light trucks or pickups with 606 vehicles. There were also 150 tractor/semi-trailers and 58 motorcycles involved in collisions.

Vehicle Type

"Other" combines 18 smaller categories (100 records): Cargo/panel van (24), Single-unit truck (>= 3 axles) (21), Truck/trailer (8), School bus (seats > 15) (7), Truck tractor (bobtail) (7), Passenger van (seats 9-15) (6), Tractor/doubles (5), Other bus (seats > 15) (4), Other light truck (<=10000 lbs) (4), Motor home/recreational vehicle (3), Farm equipment (explain in narrative) (3), Other heavy truck (> 10000 lbs) (cannot classify) (2), Golf cart (1), Moped (1), Farm tractor (1), Maintenance/construction vehicle (1), Small school bus (seats 9-15) (1), Train (1).

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

Traffic Control Device

Analysis of traffic controls present at crash locations shows that a majority of vehicles were involved in areas with no traffic controls present, accounting for 2,129 vehicles. For crashes at controlled locations, traffic signals were the most common device, present for 825 vehicles, followed by stop signs, which were present for 331 vehicles.

Traffic Control Device

"Other" combines 4 smaller categories (20 records): Warning sign (9), Flashing traffic control signal (6), No Passing Zone (marked) (4), Traffic sign missing (1).

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

Most Damaged Area

The most frequently damaged area on vehicles was the front, recorded for 1,005 vehicles, indicating a high number of frontal collisions. The rear was the second most common point of impact, with 476 vehicles sustaining rear damage, which aligns with the prevalence of rear-end collisions. Corner impacts were also common, with 277 vehicles damaged at the front-driver-side corner and 257 at the front-passenger-side corner.

Most Damaged Area

"Other" combines 10 smaller categories (781 records): Passenger side - front (165), Passenger side - rear (135), Rear - driver side corner (109), Driver side - rear (107), Top (83), Rear - passenger side corner (78), Other (explain in narrative) (56), Non-collision/no damage (25), Undercarriage (18), Cargo loss (5).

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

Impairment (Alcohol / Drugs)

In 2015, 93 crashes, or 4.5% of the total, were noted as involving an impaired driver. Among these incidents where impairment type was specified, alcohol was a factor in 82 cases, drugs were a factor in 5 cases, and a combination of alcohol and drugs was noted in 3 cases.

Crashes by City

Crash distribution across municipalities shows a heavy concentration in Council Bluffs, which accounted for 1,521 of the county's crashes. In contrast, other towns recorded significantly fewer incidents, with Avoca, Carter Lake, and Crescent each reporting 13 crashes, and Neola reporting 12 crashes.

Crashes by City

1
COUNCIL BLUFFS1,521 (93.8%)
2
AVOCA13 (0.8%)
3
CARTER LAKE13 (0.8%)
4
CRESCENT13 (0.8%)
5
NEOLA12 (0.7%)
6
UNDERWOOD10 (0.6%)
7
TREYNOR10 (0.6%)
8
WALNUT9 (0.6%)
9
OAKLAND9 (0.6%)

Showing top 9 of 14 reported. 5 additional (12 total) not shown: CARSON, SHELBY, HANCOCK, MINDEN, MCCLELLAND.

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

Paved vs Unpaved Road

The overwhelming majority of crashes occurred on paved roadways, with 2,003 incidents. Crashes on unpaved surfaces such as gravel or dirt roads were less common, accounting for 77 crashes, or approximately 3.7% of the total where surface type was recorded.

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 crashes where a roadway factor was cited as a contributor, 'Surface condition' such as wet or icy roads was the most common, noted in 154 incidents. Work zones were identified as a contributing factor in 32 crashes, and debris on the roadway was a factor in 12 crashes.

Roadway Contributing Factor

1
Surface condition (e.g.wet, icy)154 (70.3%)
2
Work Zone (roadway-related)32 (14.6%)
3
Debris12 (5.5%)
4
Slippery, loose or worn surface6 (2.7%)
5
Traffic backup, regular congestion4 (1.8%)
6
Ruts/holes/bumps3 (1.4%)
7
Obstruction in roadway2 (0.9%)
8
Non-highway work2 (0.9%)
9
Traffic backup, prior crash2 (0.9%)

Showing top 9 of 11 reported. 2 additional (2 total) not shown: Shoulders (none, low, soft, high), Disabled vehicle.

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

Driver Condition

In cases where a driver's condition was recorded as something other than 'apparently normal,' being 'Under the influence of alcohol' was the most frequent, noted for 95 drivers. The second most cited condition was 'Asleep/fatigued,' which was recorded for 24 drivers. A 'Medical condition' was noted for 10 drivers.

Driver Condition

1
Under the influence of alcohol95 (61.3%)
2
Asleep/fatigued24 (15.5%)
3
Medical condition (seizure, reaction)10 (6.5%)
4
Under the influence of drugs/meds8 (5.2%)
5
Emotional (e.g. depressed, angry)7 (4.5%)
6
Paraplegic/wheelchair restricted3 (1.9%)
7
Illness/fainted3 (1.9%)
8
Physical impairment3 (1.9%)
9
Walks with a cane/crutches2 (1.3%)

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

Property Damage

The most common estimated property damage cost was in the '$1,500 - $7,500' range, which applied to 1,525 crashes. There were 427 crashes with damages estimated between '$7,500 - $25,000'. A smaller number of incidents, 51, resulted in high-value property damage estimated at '$25,000+' per crash.

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 common crash type, accounting for 701 incidents (33.6%). Rear-end collisions were the second most frequent manner of collision, with 501 crashes (24.0%), followed by broadside collisions, which occurred 349 times (16.7%).

Manner of Collision

"Other" combines 3 smaller categories (54 records): Other (explain in narrative) (28), Rear to side (21), Rear to rear (5).

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

Pre-Crash Driver Action

The most common pre-crash action for vehicles involved was 'Movement essentially straight,' recorded for 2,097 vehicles. 'Turning left' was the second most frequent action with 286 vehicles, followed by vehicles that were 'Legally Parked' prior to being struck, which accounted for 193 instances.

Pre-Crash Driver Action

1
Movement essentially straight2,097 (60.9%)
2
Turning left286 (8.3%)
3
Legally Parked193 (5.6%)
4
Slowing/stopping (deceleration)191 (5.5%)
5
Stopped in traffic166 (4.8%)
6
Turning right132 (3.8%)
7
Changing lanes81 (2.4%)
8
Backing65 (1.9%)
9
Other (explain in narrative)63 (1.8%)

Showing top 9 of 19 reported. 10 additional (169 total) not shown: Negotiating a curve, Overtaking/passing, Entering traffic lane (merging), Making U-turn, Illegally Parked/Unattended, Leaving traffic lane, Starting in road, Accelerating 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

For incidents involving pedestrians and other non-motorists, the most common action at the time of the crash was 'Entering or crossing roadway,' which was recorded in 35 instances. The next most frequent action was 'Movement: Along roadway with traffic,' noted in 6 instances.

Pedestrian/Cyclist Action

1
Entering or crossing roadway35 (59.3%)
2
Movement: Along roadway with traffic6 (10.2%)
3
Movement: On sidewalk4 (6.8%)
4
Other4 (6.8%)
5
Going to/coming from school3 (5.1%)
6
Movement: Along roadway against traffic3 (5.1%)
7
Waiting to cross roadway1 (1.7%)
8
Disabled vehicle-related/pushing vehicle1 (1.7%)
9
Entering/exiting vehicle1 (1.7%)

Showing top 9 of 10 reported. 1 additional (1 total) not shown: Approaching or leaving vehicle.

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

Person Type

Of the 4,516 people involved in crashes, the vast majority, 4,225 individuals, were drivers. Passengers constituted the next largest group with 232 people. The data also includes 30 pedestrians and 24 bicyclists involved in collisions.

Person Type

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

Person Injury Severity

Across all 4,516 individuals involved in crashes, 13 sustained fatal injuries and 57 suffered serious injuries. An additional 264 people received minor injuries and 489 had possible injuries. The majority of individuals involved were not physically injured.

Person Injury Severity

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

Occupant Safety Equipment

Among individuals for whom safety equipment use was recorded, 543 were noted as using a shoulder and lap belt. A total of 78 individuals were recorded as having used no safety equipment at the time of the crash. Additionally, 16 individuals used a DOT-compliant helmet.

Occupant Safety Equipment

"Other" combines 2 smaller categories (2 records): Child safety seat (type unknown) (1), Child safety seat (rear-facing) (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 scenario, accounting for 1,232 crashes. Single-vehicle crashes were the second most frequent type, with 736 incidents. Most other crashes involved three vehicles (99 incidents), though one incident involved as many as 12 vehicles.

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: 2,087
  • Total persons involved: 4,516
  • Total vehicles involved: 3,588

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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