Yearly Traffic Safety Analysis

269 CRASHES IN
IOWA, IA
2015

In 2015, Carroll County recorded 269 total traffic crashes, resulting in zero fatalities and 100 injuries. A significant portion of these incidents occurred towards the end of the year, with December experiencing the highest number of crashes (45) and injuries (16) for any month.

269

Total Crash Events

0

Persons Killed

100

Persons Injured

0

Fatal Crash Events

Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (0) 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, there were no fatalities among any group of road users in Carroll County. Of the 100 people injured, the vast majority were motorists, accounting for 96 injuries. The data also recorded 3 injured pedestrians and 1 injured cyclist.

0

Pedestrians Killed

0

Cyclists Killed

0

Motorists Killed

3

Pedestrians Injured

1

Cyclists Injured

96

Motorists Injured

Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

Crash occurrences in Carroll County during 2015 were most frequent on Tuesdays, which saw a total of 51 incidents. The single busiest hour for crashes was 3 PM, with 29 recorded events. Analysis of hourly data shows that crashes were concentrated during daytime hours, with a significant peak during the afternoon commute period.

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 vast majority of crashes in 2015, approximately 71% (191 incidents), resulted in no injuries. Injury-related crashes accounted for the remaining 29%, with these being categorized as serious (8 crashes), minor (31 crashes), or possible (39 crashes). There were no fatal crashes recorded in Carroll County during this period.

Outcome by Severity (Crash Events)

Serious Injury8serious injury crashes3%
Minor Injury31minor injury crashes11.5%
Possible Injury39possible injury crashes14.5%
No Injury191no injury crashes71%

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 for crashes in Carroll County was failure to yield the right-of-way from a stop sign, cited in 27 incidents (10%). This was closely followed by vehicles running off the road to the left, which accounted for 26 crashes. Other significant factors included following too closely (17 crashes) and losing control of the vehicle (15 crashes).

Officer-Reported Primary Contributing Cause

FTYROW: From stop sign27 (10%)
Ran off road - left26 (9.7%)
Followed too close17 (6.3%)
Other (explain in narrative): Other17 (6.3%)
Lost Control15 (5.6%)
FTYROW: Making left turn14 (5.2%)
Driving too fast for conditions13 (4.8%)
Ran Stop Sign12 (4.5%)
Ran off road - straight11 (4.1%)
Made improper turn11 (4.1%)

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

Road & Environmental Conditions

Most crashes in Carroll County occurred under ideal environmental conditions. Specifically, 62.8% of incidents (169 crashes) happened in clear weather, 64.3% (173 crashes) on dry road surfaces, and 72.9% (196 crashes) during daylight hours. Crashes during adverse weather included 22 in rain and 22 in snow, while incidents on non-dry surfaces included 38 on wet roads and 28 on snow-covered roads.

Weather

Clear169 (64.3%)
Cloudy43 (16.3%)
Rain22 (8.4%)
Snow22 (8.4%)
Freezing rain/drizzle5 (1.9%)
Sleet, hail1 (0.4%)
Fog, smoke, smog1 (0.4%)

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

Lighting

Daylight196 (74.0%)
Dark - roadway not lighted34 (12.8%)
Dark - roadway lighted19 (7.2%)
Dawn8 (3.0%)
Dark - unknown roadway lighting4 (1.5%)
Dusk4 (1.5%)

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

Road Surface

Dry173 (65.5%)
Wet38 (14.4%)
Snow28 (10.6%)
Ice/frost12 (4.5%)
Gravel10 (3.8%)
Slush2 (0.8%)
Sand1 (0.4%)

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

Vehicles & Demographics

Analysis of individuals involved in crashes shows the 21-25 age group was the most represented, with 81 people, followed by the 45-54 age group with 79 people. Regarding vehicles, domestic brands were most frequently involved, with Chevrolet (123 vehicles) and Ford (93 vehicles) being the top two makes recorded in crashes. Dodge (39 vehicles) and GMC (27 vehicles) also appeared frequently in the data.

Top Vehicle Makes (487 vehicles)

1
FORD93 (19.1%)
2
CHEV75 (15.4%)
3
CHEVROLET48 (9.9%)
4
GMC27 (5.5%)
5
DODG22 (4.5%)
6
TOYT18 (3.7%)
7
DODGE17 (3.5%)
8
PONT15 (3.1%)
9
TOYOTA13 (2.7%)
10
CHRY12 (2.5%)

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

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

Sex Distribution (433 persons with recorded sex)

Male239 (55.2%)
Female194 (44.8%)

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 of crashes was 'Failure to Yield Right-of-Way from a Stop Sign,' which was attributed to 27 incidents. Running off the road to the left was the second leading cause, with 26 crashes. Other prominent causes included 'Followed Too Close' (17 crashes), 'Lost Control' (15 crashes), and 'Driving Too Fast for Conditions' (13 crashes).

Major Cause

1
FTYROW: From stop sign27 (10.7%)
2
Ran off road - left26 (10.3%)
3
Followed too close17 (6.7%)
4
Other (explain in narrative): Other17 (6.7%)
5
Lost Control15 (5.9%)
6
FTYROW: Making left turn14 (5.5%)
7
Driving too fast for conditions13 (5.1%)
8
Ran Stop Sign12 (4.7%)
9
Ran off road - straight11 (4.3%)

Showing top 9 of 37 reported. 28 additional (101 total) not shown: Made improper turn, Improper Backing, Animal, FTYROW: At uncontrolled intersection, Other (explain in narrative): No improper action, Driver Distraction: Other interior distraction, Exceeded authorized speed, Swerving/Evasive Action, Driver Distraction: Adjusting devices (radio, climate), Driver Distraction: Exterior distraction, Ran Traffic Signal, Driver Distraction: Talking on a hand-held device, Driver Distraction: Inattentive/lost in thought, Passing: Other passing (explain in narrative), FTYROW: Other (explain in narrative), Driver Distraction: Passenger, Driver Distraction: Manual operation of an electronic communication device, Failed to keep in proper lane, Driver Distraction: Other electronic device activity, Improper or erratic lane changing, Passing: Through/around barrier, FTYROW: From driveway, Ran off road - right, Driver Distraction: Reaching for object(s)/fallen object(s), FTYROW: Making right turn on red signal, FTYROW: To pedestrian, Operating vehicle in an reckless, erratic, careless, negligent manner, FTYROW: From yield sign.

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

First Harmful Event

The dominant first harmful event was a collision with another vehicle in traffic, which occurred in 173 crashes, representing 64.3% of all incidents. Single-vehicle run-off-road events were also notable, with the most common being collisions with a ditch (24 crashes). Additionally, there were 10 crashes involving an overturn or rollover and 9 crashes where the first harmful event was a collision with an animal.

First Harmful Event

1
Collision with: Vehicle in traffic173 (64.8%)
2
Collision with fixed object: Ditch24 (9%)
3
Collision with: Parked motor vehicle14 (5.2%)
4
Non-collision events: Overturn/rollover10 (3.7%)
5
Collision with: Animal9 (3.4%)
6
Collision with fixed object: Utility pole/light support5 (1.9%)
7
Collision with fixed object: Curb/island/raised median5 (1.9%)
8
Collision with: Re-entering roadway4 (1.5%)
9
Collision with: Non-motorist (see non-motorist section - NOT a unit)3 (1.1%)

Showing top 9 of 24 reported. 15 additional (20 total) not shown: Other (explain in narrative), Collision with fixed object: Other post/pole/support (explain in narrative), Collision with: Struck/struck by object/cargo/person from other vehicle, Collision with fixed object: Bridge/bridge rail parapet, Collision with fixed object: Fire hydrant, Collision with fixed object: Culvert/pipe opening, Collision with fixed object: Guardrail - face, Non-collision events: Other non-collision (explain in narrative), Collision with fixed object: Building, Miscellaneous events: Hit and run, Miscellaneous events: Vehicle out of gear/rolled, Non-collision events: Non-contact vehicle (phantom), Collision with fixed object: Tree, Collision with fixed object: Fence, Collision with fixed object: Other fixed object (explain in narrative).

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

Roadway Junction / Feature

Crashes were slightly more likely to occur on non-intersection road segments, which accounted for 127 incidents, than at intersections. Four-way intersections were the most common type of junction for crashes, with 90 incidents recorded. T-intersections were the site of another 21 crashes.

Roadway Junction / Feature

1
Non-intersection: Non-junction/no special feature127 (48.1%)
2
Intersection: Four-way intersection90 (34.1%)
3
Intersection: T-intersection21 (8%)
4
Non-intersection: Driveway access (related, not in)9 (3.4%)
5
Non-intersection: Driveway access (within)5 (1.9%)
6
Non-intersection: Other non-intersection (explain in narrative)4 (1.5%)
7
Intersection: Other intersection (explain in narrative)4 (1.5%)
8
Intersection: Y-intersection2 (0.8%)
9
Non-intersection: Alley1 (0.4%)

Showing top 9 of 10 reported. 1 additional (1 total) not shown: Non-intersection: Railroad grade crossing.

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 203 of the 487 vehicles. Light trucks and SUVs combined were also frequently involved, with 105 pickups and 102 sport utility vehicles recorded. Commercial vehicles like tractor/semi-trailers were involved in 12 incidents, while motorcycles were involved in 3.

Vehicle Type

"Other" combines 10 smaller categories (17 records): Motorcycle (3), Maintenance/construction vehicle (2), Single-unit truck (>= 3 axles) (2), Truck/trailer (2), Farm tractor (2), Moped (2), Tractor/doubles (1), School bus (seats > 15) (1), Other light truck (<=10000 lbs) (1), Truck tractor (bobtail) (1).

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

Traffic Control Device

A significant number of vehicles involved in crashes were in areas with no traffic controls present, accounting for 314 vehicles. For crashes where traffic controls were a factor, stop signs were the most common device, noted for 73 vehicles involved in collisions. Traffic signals were present for 62 vehicles involved in crashes.

Traffic Control Device

"Other" combines 3 smaller categories (3 records): Railway crossing device (1), Warning sign (1), Traffic director (person) (1).

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

Most Damaged Area

The front of the vehicle was the most common area of damage, recorded for 125 vehicles. Including corner impacts, frontal damage was noted on 205 vehicles overall. Rear impacts, indicative of rear-end collisions, were the primary damage area for 52 vehicles, while side impacts were noted for 62 vehicles.

Most Damaged Area

"Other" combines 10 smaller categories (129 records): Driver side - front (23), Passenger side - rear (23), Passenger side - front (22), Driver side - rear (19), Rear - driver side corner (19), Top (12), Other (explain in narrative) (6), Non-collision/no damage (3), Undercarriage (1), Cargo loss (1).

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

Crashes by City

The majority of crashes within the county occurred in the city of Carroll, which saw 160 incidents. Other municipalities reported significantly fewer crashes, with Manning recording 10, and both Coon Rapids and Glidden recording 8 each. Several smaller towns like Templeton, Westside, Halbur, Lidderdale, and Arcadia each recorded two or fewer crashes.

Crashes by City

1
CARROLL160 (83.3%)
2
MANNING10 (5.2%)
3
COON RAPIDS8 (4.2%)
4
GLIDDEN8 (4.2%)
5
TEMPLETON2 (1%)
6
WESTSIDE1 (0.5%)
7
HALBUR1 (0.5%)
8
LIDDERDALE1 (0.5%)
9
ARCADIA1 (0.5%)

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, 250 out of 269, occurred on paved roadways. A total of 19 crashes, representing 7.1% of all incidents, were recorded on unpaved surfaces such as gravel or dirt roads. This highlights that while most travel occurs on paved roads, unpaved secondary roads are also a site of traffic collisions.

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 conditions were cited as a contributing factor in a minority of crashes. The most common roadway factor was the surface condition, such as wet or icy roads, which was noted in 44 incidents. Additionally, 3 crashes were recorded as occurring in a work zone.

Roadway Contributing Factor

1
Surface condition (e.g.wet, icy)44 (93.6%)
2
Work Zone (roadway-related)3 (6.4%)

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 noted as something other than 'apparently normal,' driving under the influence of alcohol was the most cited factor, recorded for 7 drivers. Other documented conditions included being asleep or fatigued (2 drivers), having a medical condition (2 drivers), and being under the influence of drugs or medication (2 drivers). These numbers represent a small fraction of the total drivers involved.

Driver Condition

1
Under the influence of alcohol7 (50%)
2
Asleep/fatigued2 (14.3%)
3
Medical condition (seizure, reaction)2 (14.3%)
4
Under the influence of drugs/meds2 (14.3%)
5
Emotional (e.g. depressed, angry)1 (7.1%)

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 per crash fell within the $1,500 to $7,500 range, which applied to 207 incidents. A smaller number of crashes resulted in more significant damage, with 48 incidents estimated between $7,500 and $25,000. Only 6 crashes, or 2.2% of the total, were estimated to have property damage exceeding $25,000.

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 crash type, accounting for 70 incidents or 26% of the total. Among multi-vehicle crashes, rear-end collisions were the most common, with 59 incidents (21.9%). Broadside collisions were also prevalent, occurring in 56 crashes (20.8%).

Manner of Collision

"Other" combines 3 smaller categories (11 records): Sideswipe, opposite direction (6), Head-on (front to front) (3), Rear to rear (2).

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 moving essentially straight, which was the case for 257 vehicles. Turning left was the second most common maneuver, recorded for 59 vehicles prior to impact. A notable number of crashes also involved stationary vehicles, including 38 that were legally parked and 26 that were stopped in traffic.

Pre-Crash Driver Action

1
Movement essentially straight257 (53.9%)
2
Turning left59 (12.4%)
3
Legally Parked38 (8%)
4
Stopped in traffic26 (5.5%)
5
Backing21 (4.4%)
6
Turning right21 (4.4%)
7
Slowing/stopping (deceleration)16 (3.4%)
8
Other (explain in narrative)13 (2.7%)
9
Negotiating a curve8 (1.7%)

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

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

Person Type

Of the 588 individuals involved in crashes, the vast majority (563 people) were drivers. Passengers accounted for another 21 individuals involved in these incidents. The remaining involved persons were non-motorists, including 3 pedestrians and 1 bicyclist.

Person Type

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

Person Injury Severity

Across all 588 people involved in crashes, a total of 100 injuries were reported, with no fatalities. Among the injured, 10 people sustained serious injuries, 40 had minor injuries, and 50 were recorded with possible injuries. This indicates that while no crashes were fatal, a significant number resulted in some level of physical harm.

Person Injury Severity

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

Occupant Safety Equipment

For the subset of crash participants where safety equipment use was documented, 61 individuals were recorded as using a shoulder and lap belt. Conversely, 8 participants were noted as having used no safety equipment at all. The data on safety equipment usage was not available for the majority of individuals involved in crashes.

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

The most common type of crash involved two vehicles, which occurred in 186 incidents. Single-vehicle crashes were the next most frequent, accounting for 69 incidents, or 25.7% of the total. Multi-vehicle crashes involving three or more vehicles were less common, with 11 three-vehicle crashes, 2 four-vehicle crashes, and one five-vehicle crash 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: 269
  • Total persons involved: 588
  • Total vehicles involved: 487

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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