Yearly Traffic Safety Analysis

343 CRASHES IN
IOWA, IA
2015

In 2015, Buchanan County recorded 343 traffic crashes, resulting in 4 fatalities and 121 injuries. A significant finding from the data is the role of animals in collisions, which was cited as a contributing factor in 98 crashes, representing 28.6% of all incidents.

343

Total Crash Events

4

Persons Killed

121

Persons Injured

4

Fatal Crash Events

Note: "Persons Killed" (4) 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 all 4 fatalities and the vast majority of injuries, with 119 motorists injured. There were no pedestrian fatalities or injuries reported. Two cyclists were injured in crashes, but none were killed.

0

Cyclists Killed

4

Motorists Killed

2

Cyclists Injured

119

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 Buchanan County peaked on Fridays, which saw 61 incidents in 2015. The most common time for crashes was the 6 p.m. hour, with 33 events recorded. While daylight hours accounted for the largest single block of crashes with 171 incidents (49.9%), a notable number of crashes, 75, occurred 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

Out of 343 total crashes, the majority (74.9%, or 257 incidents) resulted in no injuries. Crashes involving some level of injury accounted for 82 incidents, including 10 with serious injuries and 25 with minor injuries. There were 4 fatal crashes during this period, which resulted in a total of 4 fatalities.

Outcome by Severity (Crash Events)

Fatal4fatal crashes1.2%
Serious Injury10serious injury crashes2.9%
Minor Injury25minor injury crashes7.3%
Possible Injury47possible injury crashes13.7%
No Injury257no injury crashes74.9%

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 frequently cited contributing factor for crashes was 'Animal,' accounting for 98 incidents or 28.6% of the total. Following this, 'Lost Control' was noted in 27 crashes (7.9%), and 'Followed too close' was a factor in 25 crashes (7.3%). Other significant factors included 'Driving too fast for conditions' (22 crashes) and failure to yield the right-of-way from a stop sign (17 crashes).

Officer-Reported Primary Contributing Cause

Animal98 (28.6%)
Lost Control27 (7.9%)
Followed too close25 (7.3%)
Driving too fast for conditions22 (6.4%)
FTYROW: From stop sign17 (5%)
Ran off road - left15 (4.4%)
Ran off road - straight14 (4.1%)
Other (explain in narrative): Other10 (2.9%)
Ran Stop Sign9 (2.6%)
Driver Distraction: Other interior distraction8 (2.3%)

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

Road & Environmental Conditions

A substantial portion of crashes occurred in ideal driving conditions, with 171 incidents (49.9%) happening in daylight, 139 (40.5%) in clear weather, and 159 (46.4%) on dry road surfaces. Adverse conditions were also present in a number of incidents; 34 crashes occurred on wet roads and 31 on snowy surfaces. Similarly, 75 crashes took place in dark conditions.

Weather

Clear139 (54.5%)
Cloudy64 (25.1%)
Snow21 (8.2%)
Rain15 (5.9%)
Freezing rain/drizzle9 (3.5%)
Blowing Snow3 (1.2%)
Severe Winds2 (0.8%)
Fog, smoke, smog2 (0.8%)

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

Lighting

Daylight171 (67.6%)
Dark - roadway not lighted53 (20.9%)
Dark - roadway lighted19 (7.5%)
Dusk5 (2.0%)
Dark - unknown roadway lighting3 (1.2%)
Dawn2 (0.8%)

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

Road Surface

Dry159 (62.1%)
Wet34 (13.3%)
Snow31 (12.1%)
Ice/frost19 (7.4%)
Gravel11 (4.3%)
Other (explain in narrative)1 (0.4%)
Slush1 (0.4%)

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

Vehicles & Demographics

The 16-20 age group was the most frequently involved in crashes, with 98 individuals recorded, closely followed by the 26-34 age group with 97 individuals. Analysis of the 512 vehicles involved shows that Chevrolet (including 'CHEV' and 'CHEVROLET' listings) was the most common make with 147 vehicles. Ford was the second most frequent with 89 vehicles, followed by Dodge (including 'DODG' and 'DODGE') with 44 vehicles.

Top Vehicle Makes (512 vehicles)

1
CHEV92 (18%)
2
FORD89 (17.4%)
3
CHEVROLET55 (10.7%)
4
DODG29 (5.7%)
5
BUIC23 (4.5%)
6
DODGE15 (2.9%)
7
PONT14 (2.7%)
8
NISS13 (2.5%)
9
GMC12 (2.3%)
10
CHRY12 (2.3%)

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

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

Sex Distribution (459 persons with recorded sex)

Male239 (52.1%)
Female220 (47.9%)

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

Major Cause

The primary major cause attributed to crashes was interactions with animals, cited in 98 incidents. 'Lost Control' was the second most common cause, contributing to 27 crashes, followed by 'Followed too close' with 25 crashes. 'Driving too fast for conditions' (22 crashes) and 'Failure to yield right of way from a stop sign' (17 crashes) were also leading causes.

Major Cause

1
Animal98 (30.1%)
2
Lost Control27 (8.3%)
3
Followed too close25 (7.7%)
4
Driving too fast for conditions22 (6.7%)
5
FTYROW: From stop sign17 (5.2%)
6
Ran off road - left15 (4.6%)
7
Ran off road - straight14 (4.3%)
8
Other (explain in narrative): Other10 (3.1%)
9
Ran Stop Sign9 (2.8%)

Showing top 9 of 40 reported. 31 additional (89 total) not shown: Driver Distraction: Other interior distraction, Driver Distraction: Exterior distraction, Operating vehicle in an reckless, erratic, careless, negligent manner, FTYROW: From driveway, Passing: Other passing (explain in narrative), Driver Distraction: Adjusting devices (radio, climate), FTYROW: From yield sign, FTYROW: At uncontrolled intersection, Driver Distraction: Inattentive/lost in thought, Ran off road - right, Improper Backing, Driver Distraction: Passenger, Driver Distraction: Reaching for object(s)/fallen object(s), Made improper turn, Swerving/Evasive Action, Ran Traffic Signal, FTYROW: Making left turn, Crossed centerline (undivided), Other (explain in narrative): No improper action, Passing: Where prohibited by signs/markings, Driver Distraction: Other electronic device activity, Passing: Through/around barrier, Exceeded authorized speed, Passing: With insufficient distance/inadequate visibility, Driver Distraction: Manual operation of an electronic communication device, FTYROW: To pedestrian, FTYROW: Other (explain in narrative), Driving less than the posted speed limit, FTYROW: From parked position, Equipment failure, Driver Distraction: Unrestrained animal.

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 a vehicle in traffic,' which occurred in 126 crashes. The second most frequent event was a 'Collision with an animal,' recorded in 98 incidents. Collisions with fixed objects, such as ditches (38 crashes) and utility poles (8 crashes), were also common, while 16 crashes involved an overturn or rollover as the first harmful event.

First Harmful Event

1
Collision with: Vehicle in traffic126 (37.3%)
2
Collision with: Animal98 (29%)
3
Collision with fixed object: Ditch38 (11.2%)
4
Non-collision events: Overturn/rollover16 (4.7%)
5
Collision with: Parked motor vehicle16 (4.7%)
6
Collision with fixed object: Utility pole/light support8 (2.4%)
7
Collision with: Non-motorist (see non-motorist section - NOT a unit)4 (1.2%)
8
Collision with: Other non-fixed object (explain in narrative)3 (0.9%)
9
Non-collision events: Other non-collision (explain in narrative)3 (0.9%)

Showing top 9 of 28 reported. 19 additional (26 total) not shown: Collision with fixed object: Guardrail - face, Collision with fixed object: Tree, Collision with fixed object: Guardrail - end, Collision with: Re-entering roadway, Miscellaneous events: Hit and run, Non-collision events: Vehicle went airborne, Collision with fixed object: Other fixed object (explain in narrative), Collision with fixed object: Ground, Collision with fixed object: Embankment, Collision with fixed object: Curb/island/raised median, Collision with: Railway vehicle/train, Collision with fixed object: Bridge/bridge rail parapet, Collision with fixed object: Culvert/pipe opening, Other (explain in narrative), Miscellaneous events: Immersion, Collision with fixed object: Building, Collision with fixed object: Other traffic barrier (explain in narrative), Collision with fixed object: Traffic sign support, Collision with fixed object: Other post/pole/support (explain in narrative).

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

Roadway Junction / Feature

A significant number of crashes, 151, occurred at non-junction locations along a road segment. Intersections were also a common crash site, with 52 incidents at four-way intersections and 28 at T-intersections. In total, crashes at or related to intersections accounted for at least 86 incidents, while those at non-intersection locations accounted for at least 151.

Roadway Junction / Feature

1
Non-intersection: Non-junction/no special feature151 (59%)
2
Intersection: Four-way intersection52 (20.3%)
3
Intersection: T-intersection28 (10.9%)
4
Non-intersection: Driveway access (related, not in)10 (3.9%)
5
Non-intersection: Railroad grade crossing2 (0.8%)
6
Intersection: Other intersection (explain in narrative)2 (0.8%)
7
Non-intersection: Other non-intersection (explain in narrative)2 (0.8%)
8
Non-intersection: Driveway access (within)2 (0.8%)
9
Intersection: Five points or more2 (0.8%)

Showing top 9 of 13 reported. 4 additional (5 total) not shown: Interchange-related: Off-ramp, Interchange-related: Off-ramp, diverge area, Intersection: L-intersection, Intersection: Intersection with ramp.

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 243 of the vehicles. Light trucks and pickups were the next most frequent with 96 vehicles, followed by sport utility vehicles with 87. Commercial vehicles were also involved, with 20 tractor/semi-trailers recorded in incidents, while 4 motorcycles were involved in crashes.

Vehicle Type

"Other" combines 9 smaller categories (12 records): Single-unit truck (>= 3 axles) (2), Moped (2), Farm tractor (2), Other bus (seats > 15) (1), All-terrain vehicle (ATV) (1), Tractor/doubles (1), Cargo/panel van (1), Train (1), Maintenance/construction vehicle (1).

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

Traffic Control Device

The majority of crashes occurred where no traffic controls were present, with this condition noted in 304 instances. Locations with stop signs accounted for 49 crashes, and those with traffic signals saw 42 crashes. Yield signs were present in 4 crashes.

Traffic Control Device

"Other" combines 1 smaller categories (2 records): Railway crossing device (2).

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 impact, recorded as the most damaged area in 125 instances. Rear impacts were also frequent, with 63 vehicles sustaining the most damage to the rear, indicative of rear-end collisions. Side impacts were less common, with 19 vehicles damaged on the driver's side middle and 18 on the passenger's side middle.

Most Damaged Area

"Other" combines 9 smaller categories (91 records): Driver side - rear (17), Driver side - front (16), Top (14), Rear - driver side corner (12), Rear - passenger side corner (10), Passenger side - rear (10), Other (explain in narrative) (8), Non-collision/no damage (3), Undercarriage (1).

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

Crashes by City

Crash data within Buchanan County shows a concentration of incidents in the city of Independence, which recorded 102 crashes. Other municipalities reported significantly fewer incidents, with Hazleton recording 9 crashes and Jesup recording 6. The remaining crashes were distributed across several other towns in smaller numbers.

Crashes by City

1
INDEPENDENCE102 (79.1%)
2
HAZLETON9 (7%)
3
JESUP6 (4.7%)
4
WINTHROP4 (3.1%)
5
LAMONT3 (2.3%)
6
QUASQUETON2 (1.6%)
7
FAIRBANK1 (0.8%)
8
ROWLEY1 (0.8%)
9
BRANDON1 (0.8%)

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, 311 out of 343, occurred on paved roadways. Crashes on unpaved surfaces such as gravel or dirt roads accounted for 32 incidents, representing 9.3% of the total for the year.

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 factors were cited as a contributor in a minority of crashes. The most common factor was 'Surface condition,' such as wet or icy roads, which was noted in 41 incidents. Other cited factors were infrequent, including 'Slippery, loose or worn surface' in 3 crashes and a 'Work Zone' related factor in 1 crash.

Roadway Contributing Factor

1
Surface condition (e.g.wet, icy)41 (89.1%)
2
Slippery, loose or worn surface3 (6.5%)
3
Ruts/holes/bumps1 (2.2%)
4
Work Zone (roadway-related)1 (2.2%)

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

Driver Condition

Among drivers where a condition other than 'apparently normal' was noted, driving under the influence of alcohol was the most frequent, recorded for 8 drivers. Medical conditions such as seizures were cited for 5 drivers, and emotional states like depression or anger were noted for 4 drivers. Additionally, 2 drivers were recorded as being asleep or fatigued at the time of their crash.

Driver Condition

1
Under the influence of alcohol8 (36.4%)
2
Medical condition (seizure, reaction)5 (22.7%)
3
Emotional (e.g. depressed, angry)4 (18.2%)
4
Asleep/fatigued2 (9.1%)
5
Physical impairment1 (4.5%)
6
Under the influence of drugs/meds1 (4.5%)
7
Visually impaired1 (4.5%)

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

Property Damage

The estimated cost of property damage was most often in the $1,500 to $7,500 range, which applied to 260 crashes. A smaller number of crashes, 72, resulted in damages estimated between $7,500 and $25,000. High-damage crashes, with costs exceeding $25,000, were rare, accounting for only 4 incidents (1.2% of the total).

Property Damage

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

Manner of Collision

The most common type of crash was a non-collision event involving a single vehicle, which accounted for 151 incidents, or 44% of the total. Among multi-vehicle crashes, rear-end collisions were the most frequent, with 60 incidents (17.5%). Broadside collisions were the next most common type, occurring in 35 crashes (10.2%).

Manner of Collision

"Other" combines 3 smaller categories (11 records): Rear to side (8), Head-on (front to front) (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

Analysis of pre-crash actions indicates that the majority of involved vehicles, 292, were moving straight ahead. A much smaller number of vehicles were in the process of turning left (39 vehicles) or were stopped in traffic (24 vehicles) prior to the collision. Additionally, 26 vehicles were legally parked when they were involved in a crash.

Pre-Crash Driver Action

1
Movement essentially straight292 (65.5%)
2
Turning left39 (8.7%)
3
Legally Parked26 (5.8%)
4
Stopped in traffic24 (5.4%)
5
Slowing/stopping (deceleration)13 (2.9%)
6
Overtaking/passing12 (2.7%)
7
Turning right12 (2.7%)
8
Backing12 (2.7%)
9
Other (explain in narrative)8 (1.8%)

Showing top 9 of 15 reported. 6 additional (8 total) not shown: Entering traffic lane (merging), Changing lanes, Entering a parked position, Illegally Parked/Unattended, Making U-turn, Negotiating a curve.

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

Person Type

Of the 639 people involved in crashes, the vast majority were drivers, accounting for 600 individuals. Passengers made up the next largest group with 37 individuals. The remaining 2 individuals involved were bicyclists.

Person Type

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

Person Injury Severity

Among the 639 individuals involved in crashes, 125 people sustained some level of injury or were killed. This includes 4 fatalities, 16 serious injuries, 36 minor injuries, and 69 possible injuries. The remaining individuals were recorded with no apparent injury.

Person Injury Severity

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

Occupant Safety Equipment

Based on the limited data where safety equipment use was recorded, 99 occupants were using a shoulder and lap belt. In 15 cases, no safety equipment was used. This represents 13% of the 115 individuals for whom restraint use was specified.

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, accounting for 188 incidents, or 54.8% of the total. Crashes involving two vehicles were also frequent, with 143 incidents recorded. Multi-vehicle pile-ups were rare, with only 10 crashes involving three vehicles and 2 crashes involving four 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 10, 2026

Data Coverage

  • Reporting period: 2015-01-01 through 2015-12-31 (365 days)
  • Geographic scope: iowa, IA
  • Total crash records analyzed: 343
  • Total persons involved: 639
  • Total vehicles involved: 512

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 10, 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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