Yearly Traffic Safety Analysis

284 CRASHES IN
IOWA, IA
2015

In 2015, Benton County recorded 284 traffic crashes, resulting in 11 fatalities and 118 injuries. These incidents involved 531 people and 400 vehicles. A notable finding from the data is that collisions with animals were the single most common contributing factor, cited in 82 crashes, accounting for 28.9% of all incidents.

284

Total Crash Events

11

Persons Killed

118

Persons Injured

4

Fatal Crash Events

Note: "Persons Killed" (11) counts individual fatalities across all crash events. "Fatal" in the severity table below (4) 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 vast majority of killed or seriously injured individuals in Benton County. A total of 10 motorists were killed and 118 were injured in crashes. Additionally, one pedestrian fatality was recorded during this period, while no cyclist fatalities or injuries were reported.

1

Pedestrians Killed

10

Motorists Killed

0

Pedestrians Injured

118

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 frequency in Benton County peaked on Saturdays, which saw a total of 52 incidents in 2015. The single busiest hour for crashes was 4 p.m., with 23 recorded events. While crashes occurred throughout the day, a significant portion, 135 incidents, happened during daylight hours, compared to 70 in dark conditions.

Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash date field aggregated by weekday

Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The majority of crashes, 200 out of 284 (70.4%), resulted in no injuries. However, 80 crashes (28.2%) involved at least one injury, categorized as serious, minor, or possible. A total of 4 crashes were classified as fatal, which resulted in 11 individual fatalities, underscoring that a single crash can have multiple tragic outcomes.

Severity is per crash event (most severe injury). 4 fatal crash events resulted in 11 persons killed.

Outcome by Severity (Crash Events)

Fatal4fatal crashes1.4%
Serious Injury15serious injury crashes5.3%
Minor Injury39minor injury crashes13.7%
Possible Injury26possible injury crashes9.2%
No Injury200no injury crashes70.4%

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

Collisions involving an animal were the leading contributing factor, attributed to 82 crashes (28.9%). The second most frequent factor was drivers losing control, cited in 41 incidents (14.4%). Other significant factors included running off a straight road and failure to yield from a stop sign, each contributing to 20 crashes.

Officer-Reported Primary Contributing Cause

Animal82 (28.9%)
Lost Control41 (14.4%)
Ran off road - straight20 (7%)
FTYROW: From stop sign20 (7%)
Driving too fast for conditions13 (4.6%)
Ran off road - left10 (3.5%)
Ran Stop Sign9 (3.2%)
Followed too close9 (3.2%)
Operating vehicle in an reckless, erratic, careless, negligent manner7 (2.5%)
Other (explain in narrative): Other6 (2.1%)

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

Road & Environmental Conditions

A large portion of crashes occurred in favorable conditions, with 135 (47.5%) happening in daylight, 128 (45.1%) in clear weather, and 154 (54.2%) on dry road surfaces. Adverse conditions were also a factor, including 20 crashes in rain and 24 on wet roads. Crashes on roads affected by ice or snow were also recorded, with 14 on icy surfaces and 12 on snow-covered roads.

Weather

Clear128 (59.0%)
Cloudy52 (24.0%)
Rain20 (9.2%)
Snow7 (3.2%)
Fog, smoke, smog4 (1.8%)
Freezing rain/drizzle3 (1.4%)
Blowing Snow2 (0.9%)
Blowing sand, soil, dirt1 (0.5%)

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

Lighting

Daylight135 (62.2%)
Dark - roadway not lighted53 (24.4%)
Dark - roadway lighted16 (7.4%)
Dawn6 (2.8%)
Dusk6 (2.8%)
Dark - unknown roadway lighting1 (0.5%)

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

Road Surface

Dry154 (71.3%)
Wet24 (11.1%)
Ice/frost14 (6.5%)
Gravel12 (5.6%)
Snow12 (5.6%)

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

Vehicles & Demographics

Among the 531 people involved in crashes, the 16-20 age group was the most represented, with 92 individuals. The 45-54 age group followed with 84 individuals. Analysis of the 400 vehicles involved shows that Chevrolet (including CHEV and CHEVROLET entries, totaling 108) and Ford (60) were the most frequently recorded makes.

Top Vehicle Makes (400 vehicles)

1
CHEV62 (15.5%)
2
FORD60 (15%)
3
CHEVROLET46 (11.5%)
4
DODG18 (4.5%)
5
TOYT14 (3.5%)
6
HOND13 (3.3%)
7
BUIC11 (2.8%)
8
PONT10 (2.5%)
9
NISS9 (2.3%)
10
CHRYSLER9 (2.3%)

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

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

Sex Distribution (378 persons with recorded sex)

Male216 (57.1%)
Female162 (42.9%)

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

Major Cause

The most frequently cited major cause for crashes in Benton County was 'Animal,' accounting for 82 incidents. 'Lost Control' was the second leading cause with 41 crashes. 'Ran off road - straight' and 'FTYROW: From stop sign' were tied for the third most common cause, each being cited in 20 crashes.

Major Cause

1
Animal82 (29.3%)
2
Lost Control41 (14.6%)
3
Ran off road - straight20 (7.1%)
4
FTYROW: From stop sign20 (7.1%)
5
Driving too fast for conditions13 (4.6%)
6
Ran off road - left10 (3.6%)
7
Ran Stop Sign9 (3.2%)
8
Followed too close9 (3.2%)
9
Operating vehicle in an reckless, erratic, careless, negligent manner7 (2.5%)

Showing top 9 of 40 reported. 31 additional (69 total) not shown: Other (explain in narrative): Other, FTYROW: From yield sign, Driver Distraction: Exterior distraction, FTYROW: From driveway, Swerving/Evasive Action, Driver Distraction: Other interior distraction, Ran off road - right, Driver Distraction: Reaching for object(s)/fallen object(s), Driver Distraction: Inattentive/lost in thought, Driver Distraction: Adjusting devices (radio, climate), Driver Distraction: Passenger, Improper or erratic lane changing, FTYROW: At uncontrolled intersection, Driver Distraction: Talking on a hand-held device, Made improper turn, Passing: With insufficient distance/inadequate visibility, Illegally Parked/Unattended, Failed to keep in proper lane, Exceeded authorized speed, FTYROW: From parked position, Drove around RR grade crossing gates, Driver Distraction: Unrestrained animal, FTYROW: Making left turn, Operator inexperience, Other (explain in narrative): Improper operation, Other (explain in narrative): No improper action, Passing: On wrong side, Passing: Other passing (explain in narrative), Passing: Through/around barrier, Passing: Where prohibited by signs/markings, Driver Distraction: Other electronic device activity.

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 89 crashes. This was closely followed by 'Collision with: Animal,' recorded in 81 crashes. Run-off-road events were also significant, with the first harmful event being a collision with a ditch in 39 cases and an overturn or rollover in 22 cases.

First Harmful Event

1
Collision with: Vehicle in traffic89 (31.6%)
2
Collision with: Animal81 (28.7%)
3
Collision with fixed object: Ditch39 (13.8%)
4
Non-collision events: Overturn/rollover22 (7.8%)
5
Collision with fixed object: Embankment7 (2.5%)
6
Collision with fixed object: Utility pole/light support6 (2.1%)
7
Collision with: Parked motor vehicle6 (2.1%)
8
Other (explain in narrative)4 (1.4%)
9
Collision with fixed object: Traffic sign support4 (1.4%)

Showing top 9 of 25 reported. 16 additional (24 total) not shown: Collision with: Re-entering roadway, Collision with fixed object: Tree, Miscellaneous events: Hit and run, Non-collision events: Other non-collision (explain in narrative), Collision with fixed object: Curb/island/raised median, Non-collision events: Vehicle went airborne, Collision with fixed object: Culvert/pipe opening, Collision with fixed object: Ground, Collision with: Work zone maintenance equipment, Collision with fixed object: Traffic signal support, Non-collision events: Fell/jumped from vehicle, Non-collision events: Non-contact vehicle (phantom), Collision with fixed object: Other post/pole/support (explain in narrative), Collision with: Non-motorist (see non-motorist section - NOT a unit), Collision with fixed object: Other fixed object (explain in narrative), Collision with: Railway vehicle/train.

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

Roadway Junction / Feature

The majority of crashes in Benton County occurred on non-intersection segments of the roadway. Specifically, 133 crashes, or 46.8% of the total, happened on straight or curved road sections away from any junction. In contrast, 62 crashes took place at four-way or T-intersections.

Roadway Junction / Feature

1
Non-intersection: Non-junction/no special feature133 (61.3%)
2
Intersection: Four-way intersection54 (24.9%)
3
Non-intersection: Driveway access (related, not in)9 (4.1%)
4
Non-intersection: Crossover-related6 (2.8%)
5
Intersection: T-intersection5 (2.3%)
6
Intersection: Other intersection (explain in narrative)3 (1.4%)
7
Non-intersection: Driveway access (within)2 (0.9%)
8
Non-intersection: Other non-intersection (explain in narrative)2 (0.9%)
9
Non-intersection: Railroad grade crossing2 (0.9%)

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

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 192 of the 400 vehicles. Sport utility vehicles (SUVs) were the next most frequent with 79 vehicles, followed by light trucks and pickups with 67. The data also shows involvement from 8 tractor/semi-trailers and 8 motorcycles.

Vehicle Type

"Other" combines 7 smaller categories (12 records): Single unit truck (2-axle, 6-tire) (4), Farm tractor (3), Passenger van (seats 9-15) (1), Other bus (seats > 15) (1), Cargo/panel van (1), School bus (seats > 15) (1), Train (1).

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

Traffic Control Device

A significant majority of crashes, 249 out of 284, occurred where no traffic controls were present. This represents 87.7% of all incidents in the county. For crashes that did happen at controlled locations, stop signs were the most common type of traffic control, present in 44 incidents.

Traffic Control Device

"Other" combines 4 smaller categories (10 records): Traffic signals (3), Work zone sign (3), Railway crossing device (2), Other (explain in narrative) (2).

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

Most Damaged Area

Frontal impacts were the most common area of damage recorded on vehicles involved in crashes. A total of 88 vehicles sustained primary damage to the front, with an additional 39 damaged on the front driver-side corner and 28 on the front passenger-side corner. Rear impacts were noted as the most damaged area on 20 vehicles.

Most Damaged Area

"Other" combines 9 smaller categories (85 records): Driver side - rear (15), Driver side - front (14), Rear - driver side corner (13), Passenger side - middle (13), Rear - passenger side corner (11), Passenger side - rear (8), Other (explain in narrative) (5), Undercarriage (4), Non-collision/no damage (2).

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

Impairment (Alcohol / Drugs)

Driver impairment was suspected in 11 crashes, representing 3.9% of all incidents in Benton County. Among these, alcohol was the sole factor in 8 crashes, drugs were the factor in 2 crashes, and a combination of alcohol and drugs was noted in 1 crash.

Crashes by City

Within Benton County, the city of Vinton had the highest crash volume, with 48 incidents recorded in 2015. Belle Plaine followed with 12 crashes, and Urbana had 9 crashes. Several other municipalities, including Van Horne, Atkins, and Shellsburg, recorded three or fewer crashes each.

Crashes by City

1
VINTON48 (57.8%)
2
BELLE PLAINE12 (14.5%)
3
URBANA9 (10.8%)
4
VAN HORNE3 (3.6%)
5
ATKINS2 (2.4%)
6
BLAIRSTOWN2 (2.4%)
7
SHELLSBURG2 (2.4%)
8
WALFORD2 (2.4%)
9
NEWHALL1 (1.2%)

Showing top 9 of 11 reported. 2 additional (2 total) not shown: LUZERNE, NORWAY.

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

Paved vs Unpaved Road

Crashes in Benton County predominantly occurred on paved roads, with 246 incidents reported. However, a notable number of crashes, 37, took place on unpaved surfaces such as gravel or dirt roads. This accounts for approximately 13% of crashes where the road surface type was specified.

Paved vs Unpaved Road

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

Roadway Contributing Factor

In a minority of crashes, specific roadway factors were identified as contributors. The most common was 'Surface condition (e.g. wet, icy),' cited in 20 incidents. 'Work Zone' was listed as a contributing factor in 4 crashes, while other factors like a slippery surface or an obstruction in the roadway were noted in a few other cases.

Roadway Contributing Factor

1
Surface condition (e.g.wet, icy)20 (62.5%)
2
Work Zone (roadway-related)4 (12.5%)
3
Slippery, loose or worn surface2 (6.3%)
4
Ruts/holes/bumps1 (3.1%)
5
Disabled vehicle1 (3.1%)
6
Traffic backup, prior non-recurring incident1 (3.1%)
7
Shoulders (none, low, soft, high)1 (3.1%)
8
Non-highway work1 (3.1%)
9
Obstruction in roadway1 (3.1%)

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

Driver Condition

While most drivers were recorded as 'apparently normal,' a number of crashes involved drivers with other noted conditions. Eleven drivers were recorded as being under the influence of alcohol. Additionally, 5 drivers were noted as being asleep or fatigued, a condition that can be a factor in rural driving environments.

Driver Condition

1
Under the influence of alcohol11 (50%)
2
Asleep/fatigued5 (22.7%)
3
Emotional (e.g. depressed, angry)2 (9.1%)
4
Under the influence of drugs/meds2 (9.1%)
5
Illness/fainted1 (4.5%)
6
Medical condition (seizure, reaction)1 (4.5%)

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

Property Damage

The estimated property damage for the majority of crashes fell into the '$1,500 - $7,500' category, which applied to 214 incidents. A smaller number of crashes resulted in higher damage, with 58 estimated between $7,500 and $25,000, and 8 crashes causing damage of $25,000 or more.

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 were the most common manner of crash, accounting for 150 incidents or 52.8% of the total. Among multi-vehicle crashes, broadside (front-to-side) collisions were the most frequent, with 40 occurrences (14.1%). Rear-end collisions were the next most common type, with 26 incidents (9.2%).

Manner of Collision

"Other" combines 3 smaller categories (6 records): Rear to side (3), Other (explain in narrative) (2), Rear to rear (1).

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

Pre-Crash Driver Action

The overwhelming majority of vehicles involved in crashes were moving straight ahead just prior to the incident. This pre-crash action was recorded for 256 of the 400 vehicles in the dataset. Turning left was the next most common action, noted for 22 vehicles.

Pre-Crash Driver Action

1
Movement essentially straight256 (73.6%)
2
Turning left22 (6.3%)
3
Overtaking/passing9 (2.6%)
4
Other (explain in narrative)9 (2.6%)
5
Turning right8 (2.3%)
6
Negotiating a curve7 (2%)
7
Backing7 (2%)
8
Slowing/stopping (deceleration)7 (2%)
9
Stopped in traffic6 (1.7%)

Showing top 9 of 16 reported. 7 additional (17 total) not shown: Legally Parked, Making U-turn, Changing lanes, Illegally Parked/Unattended, Entering traffic lane (merging), Starting in road, Accelerating in road.

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

Person Type

Of the 531 individuals involved in crashes, the vast majority were drivers, accounting for 492 people. Passengers made up the next largest group with 38 individuals. The data also includes one pedestrian involved in a crash.

Person Type

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

Person Injury Severity

Out of 531 people involved in crashes, 11 sustained fatal injuries and 118 sustained non-fatal injuries. The non-fatal injuries included 18 serious injuries, 55 minor injuries, and 45 possible injuries. The data indicates that a significant number of individuals involved in these crashes were not physically harmed.

Person Injury Severity

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

Occupant Safety Equipment

Among the 112 vehicle occupants for whom safety equipment use was recorded, 94 were using a shoulder and lap belt. However, 16 individuals were recorded as using no safety restraints at all. This represents 14.3% of the occupants with known restraint use.

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

Single-vehicle crashes were the most common type of incident, accounting for 175 of the 284 total crashes (61.6%). Two-vehicle crashes were the next most frequent, with 103 incidents. Multi-vehicle crashes involving three or more vehicles were rare, with only 6 such events 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: 284
  • Total persons involved: 531
  • Total vehicles involved: 400

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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