Yearly Traffic Safety Analysis

154 CRASHES IN
IOWA, IA
2015

In 2015, Union County recorded 154 traffic crashes, which resulted in one fatality and 50 injuries. The majority of these incidents, approximately 72.7%, involved no injuries. An analysis of contributing factors reveals that failure to yield the right-of-way from a stop sign was the most frequently cited cause, accounting for 11% of all crashes.

154

Total Crash Events

1

Persons Killed

50

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, crash data for Union County shows that one motorist was killed and 48 were injured. Additionally, two pedestrians were injured in traffic incidents. There were no fatalities or injuries reported involving cyclists during this period.

0

Pedestrians Killed

1

Motorists Killed

2

Pedestrians Injured

48

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

Crashes in Union County occurred most frequently on Wednesdays, with 30 incidents reported. The most common time for a crash was the 3 p.m. hour, which saw 15 crashes. A significant majority of collisions, 106 out of 154, happened 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 154 crashes in 2015, the majority (72.7%) were property-damage-only incidents, with 112 crashes resulting in no injuries. There were 42 crashes that involved injuries, including one fatal crash, two with serious injuries, 12 with minor injuries, and 27 with possible injuries. While there was one fatal crash, this resulted in one person being killed; in some incidents, a single crash can lead to multiple fatalities.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.6%
Serious Injury2serious injury crashes1.3%
Minor Injury12minor injury crashes7.8%
Possible Injury27possible injury crashes17.5%
No Injury112no injury crashes72.7%

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 identified in crashes was a failure to yield the right-of-way from a stop sign, cited in 17 incidents (11%). Other significant factors included drivers losing control, which was noted in 13 crashes (8.4%), and collisions involving animals, which accounted for 12 crashes (7.8%). Another common issue was failure to yield while making a left turn, which contributed to 10 crashes.

Officer-Reported Primary Contributing Cause

FTYROW: From stop sign17 (11%)
Lost Control13 (8.4%)
Animal12 (7.8%)
FTYROW: Making left turn10 (6.5%)
Other (explain in narrative): Other8 (5.2%)
Followed too close8 (5.2%)
Made improper turn7 (4.5%)
Ran off road - straight7 (4.5%)
Ran off road - left6 (3.9%)
Ran Stop Sign6 (3.9%)

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 vast majority of crashes occurred under favorable conditions. Specifically, 115 crashes (74.7%) happened on dry road surfaces, and 93 crashes (60.4%) took place in clear weather. Correspondingly, 106 incidents, or 68.8% of the total, occurred during daylight hours.

Weather

Clear93 (62.0%)
Cloudy34 (22.7%)
Rain14 (9.3%)
Snow6 (4.0%)
Freezing rain/drizzle2 (1.3%)
Fog, smoke, smog1 (0.7%)

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

Lighting

Daylight106 (70.7%)
Dark - roadway not lighted27 (18.0%)
Dark - roadway lighted10 (6.7%)
Dawn4 (2.7%)
Dusk2 (1.3%)
Dark - unknown roadway lighting1 (0.7%)

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

Road Surface

Dry115 (76.7%)
Wet24 (16.0%)
Snow6 (4.0%)
Ice/frost2 (1.3%)
Gravel2 (1.3%)
Slush1 (0.7%)

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

Vehicles & Demographics

Among the 332 people involved in crashes, individuals in the 16-20 age group were the most represented, with 63 people. The most common vehicle makes involved in these incidents were Ford and Chevrolet, each accounting for 67 vehicles, followed by Dodge with 28 vehicles. These figures represent the frequency of involvement in crashes and not the overall market share of the vehicle makes.

Top Vehicle Makes (280 vehicles)

1
FORD67 (23.9%)
2
CHEV46 (16.4%)
3
CHEVROLET21 (7.5%)
4
PONT20 (7.1%)
5
DODG19 (6.8%)
6
CHRY12 (4.3%)
7
JEEP10 (3.6%)
8
DODGE9 (3.2%)
9
GMC5 (1.8%)
10
TOYOTA5 (1.8%)

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

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

Sex Distribution (239 persons with recorded sex)

Male142 (59.4%)
Female97 (40.6%)

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

Major Cause

The most frequently cited major cause for crashes was failure to yield right-of-way from a stop sign, which was listed for 17 incidents. Losing control of the vehicle was the second most common cause, contributing to 13 crashes. Collisions with animals were also a significant factor, accounting for 12 crashes, followed by failure to yield while making a left turn with 10 crashes.

Major Cause

1
FTYROW: From stop sign17 (11.9%)
2
Lost Control13 (9.1%)
3
Animal12 (8.4%)
4
FTYROW: Making left turn10 (7%)
5
Other (explain in narrative): Other8 (5.6%)
6
Followed too close8 (5.6%)
7
Made improper turn7 (4.9%)
8
Ran off road - straight7 (4.9%)
9
Ran off road - left6 (4.2%)

Showing top 9 of 33 reported. 24 additional (55 total) not shown: Ran Stop Sign, FTYROW: Other (explain in narrative), Driver Distraction: Inattentive/lost in thought, FTYROW: From driveway, Driver Distraction: Other interior distraction, Improper Backing, FTYROW: At uncontrolled intersection, Other (explain in narrative): No improper action, FTYROW: From parked position, Improper or erratic lane changing, Ran off road - right, Failed to keep in proper lane, Driver Distraction: Reaching for object(s)/fallen object(s), Swerving/Evasive Action, FTYROW: To pedestrian, Cargo/equipment loss or shift, Driver Distraction: Passenger, Driver Distraction: Unrestrained animal, Exceeded authorized speed, FTYROW: Making right turn on red signal, Illegally Parked/Unattended, Driver Distraction: Exterior distraction, Other (explain in narrative): Vision obstructed, Over correcting/over steering.

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 another vehicle in traffic, which occurred in 95 of the 154 crashes. Collisions with animals were the second most frequent event, recorded in 12 incidents. Run-off-road events were also notable, with 11 crashes involving a collision with a ditch and 9 involving an overturn or rollover.

First Harmful Event

1
Collision with: Vehicle in traffic95 (62.1%)
2
Collision with: Animal12 (7.8%)
3
Collision with fixed object: Ditch11 (7.2%)
4
Collision with: Parked motor vehicle10 (6.5%)
5
Non-collision events: Overturn/rollover9 (5.9%)
6
Other (explain in narrative)3 (2%)
7
Collision with: Re-entering roadway2 (1.3%)
8
Miscellaneous events: Hit and run2 (1.3%)
9
Collision with: Thrown or falling object2 (1.3%)

Showing top 9 of 16 reported. 7 additional (7 total) not shown: Miscellaneous events: Vehicle out of gear/rolled, Non-collision events: Other non-collision (explain in narrative), Collision with fixed object: Embankment, Collision with: Non-motorist (see non-motorist section - NOT a unit), Collision with fixed object: Bridge/bridge rail parapet, Collision with fixed object: Utility pole/light support, Collision with fixed object: Landscape/shrubbery.

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

Roadway Junction / Feature

Analysis of crash locations shows that a majority of incidents, 81 out of 154, occurred on non-intersection road segments. Intersections were the site of 53 crashes, with four-way intersections being the most common type, accounting for 45 of these. Crashes related to driveway access were noted in 10 instances.

Roadway Junction / Feature

1
Non-intersection: Non-junction/no special feature81 (54%)
2
Intersection: Four-way intersection45 (30%)
3
Non-intersection: Driveway access (related, not in)8 (5.3%)
4
Intersection: T-intersection6 (4%)
5
Non-intersection: Other non-intersection (explain in narrative)3 (2%)
6
Non-intersection: Alley2 (1.3%)
7
Non-intersection: Driveway access (within)2 (1.3%)
8
Intersection: Y-intersection2 (1.3%)
9
Interchange-related: Other interchange (explain in narrative)1 (0.7%)

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 107 units recorded. Light trucks and pickups were the second most frequent with 75 units, followed by sport utility vehicles (SUVs) with 51 units. Commercial semi-trailers were involved in 7 crashes, and motorcycles were involved in 3 crashes.

Vehicle Type

"Other" combines 6 smaller categories (7 records): Single unit truck (2-axle, 6-tire) (2), Motor home/recreational vehicle (1), Moped (1), Cargo/panel van (1), Single-unit truck (>= 3 axles) (1), Other (explain in narrative) (1).

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

Traffic Control Device

Data on traffic controls present at crash sites indicates that a majority of vehicles, 183 out of 280, were involved in incidents where no traffic controls were present. For crashes occurring at controlled locations, traffic signals were present for 46 vehicles and stop signs were present for 35 vehicles.

Traffic Control Device

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

Most Damaged Area

The most common area of vehicle damage was the front, which was cited in 67 instances. Broader frontal impacts, including corners, accounted for a total of 116 vehicles. Rear-end impacts were noted for 22 vehicles, while various side impacts were also common, with the passenger side middle being the most frequent point of side damage with 19 instances.

Most Damaged Area

"Other" combines 9 smaller categories (80 records): Passenger side - rear (13), Passenger side - front (13), Rear - driver side corner (12), Driver side - front (11), Driver side - rear (10), Top (8), Other (explain in narrative) (7), Non-collision/no damage (5), Undercarriage (1).

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

Crashes by City

Among the municipalities in Union County, Creston recorded the highest number of crashes with 93 incidents. Afton reported the next highest number with 8 crashes. The remaining crashes within city limits were distributed between Lorimor with 2 and Arispe with 1.

Crashes by City

1
CRESTON93 (89.4%)
2
AFTON8 (7.7%)
3
LORIMOR2 (1.9%)
4
ARISPE1 (1%)

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

Paved vs Unpaved Road

The data indicates that crashes occurred predominantly on paved roadways, which accounted for 141 of the 154 total incidents. Crashes on unpaved surfaces, such as gravel or dirt roads, were less common, with 13 incidents reported, making up 8.4% of the total.

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-related factors were cited in a minority of crashes. The most common factor was the road surface condition, such as being wet or icy, which was noted in 7 incidents. Work zone activity was listed as a contributing factor in 2 crashes.

Roadway Contributing Factor

1
Surface condition (e.g.wet, icy)7 (58.3%)
2
Work Zone (roadway-related)2 (16.7%)
3
Obstruction in roadway1 (8.3%)
4
Ruts/holes/bumps1 (8.3%)
5
Traffic backup, regular congestion1 (8.3%)

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

Property Damage

The estimated property damage for most crashes fell into the $1,500 to $7,500 range, which applied to 120 of the 154 incidents. Higher-cost damages were less frequent, with 23 crashes estimated between $7,500 and $25,000, and only 4 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

The most frequent type of crash was a non-collision event involving a single vehicle, which accounted for 39 incidents or 25.3% of the total. This was followed closely by broadside collisions with 36 incidents (23.4%) and rear-end collisions with 33 incidents (21.4%).

Manner of Collision

"Other" combines 1 smaller categories (4 records): Other (explain in narrative) (4).

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 of drivers immediately before a crash was moving straight ahead, which was recorded for 159 vehicles. The next most frequent pre-crash actions were turning left, noted for 32 vehicles, and being legally parked, which was the status of 23 vehicles involved in incidents.

Pre-Crash Driver Action

1
Movement essentially straight159 (58.2%)
2
Turning left32 (11.7%)
3
Legally Parked23 (8.4%)
4
Backing13 (4.8%)
5
Stopped in traffic11 (4%)
6
Turning right9 (3.3%)
7
Slowing/stopping (deceleration)8 (2.9%)
8
Changing lanes4 (1.5%)
9
Accelerating in road3 (1.1%)

Showing top 9 of 15 reported. 6 additional (11 total) not shown: Illegally Parked/Unattended, Negotiating a curve, Other (explain in narrative), Starting in road, Overtaking/passing, Entering traffic lane (merging).

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

Person Type

Of the 332 individuals involved in crashes, the overwhelming majority, 320 people, were drivers. The remaining individuals included 10 passengers and 2 pedestrians. This indicates that drivers constituted 96.4% of all persons recorded in crash reports.

Person Type

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

Person Injury Severity

Among the 332 people involved in crashes, one person sustained a fatal injury and 50 people were injured. The injuries included 2 serious injuries, 14 minor injuries, and 34 possible injuries. The data also recorded one person involved in a crash who had 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

Safety equipment usage was recorded for a small subset of 31 vehicle occupants. Among this group, 20 individuals were reported to have used a shoulder and lap belt. However, 9 occupants, representing 29% of this specific group, were recorded as using no safety restraints.

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

Two-vehicle collisions were the most common scenario, accounting for 106 of the 154 total crashes (68.8%). Single-vehicle crashes were the next most frequent type, with 40 incidents, representing 26% of the total. There were also 8 multi-vehicle crashes involving three or more 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: 154
  • Total persons involved: 332
  • Total vehicles involved: 280

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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