Yearly Traffic Safety Analysis

115 CRASHES IN
IOWA, IA
2015

In 2015, Hancock County recorded 115 traffic crashes, resulting in 2 fatalities and 76 injuries. A significant portion of these incidents, nearly half at 47.8%, were single-vehicle, non-collision events. The leading contributing factor cited in reports was driving too fast for conditions.

115

Total Crash Events

2

Persons Killed

76

Persons Injured

2

Fatal Crash Events

Note: "Persons Killed" (2) counts individual fatalities across all crash events. "Fatal" in the severity table below (2) 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, all fatalities and injuries in Hancock County crashes involved motor vehicle occupants. Two motorists were killed and 76 were injured. According to the data, there were no pedestrians or cyclists killed or injured in traffic crashes during this period.

2

Motorists Killed

76

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 Hancock County peaked on Thursdays and Saturdays, with 20 incidents occurring on each of those days. The most frequent time for crashes was the 3 p.m. hour, which saw 14 incidents. A majority of crashes, 70 in total, occurred during daylight hours, while 41 took place in dark or low-light conditions such as dawn or dusk.

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

Just over half of all crashes (50.4%) resulted in no injuries, involving only property damage. The remaining incidents involved injuries of varying severity: 10 crashes with serious injuries, 22 with minor injuries, and 23 with possible injuries. Two crashes were fatal, resulting in a total of two fatalities.

Outcome by Severity (Crash Events)

Fatal2fatal crashes1.7%
Serious Injury10serious injury crashes8.7%
Minor Injury22minor injury crashes19.1%
Possible Injury23possible injury crashes20%
No Injury58no injury crashes50.4%

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

The most commonly cited contributing factor was 'Driving too fast for conditions,' accounting for 19.1% of crashes (22 incidents). 'Lost Control' and 'Ran off road - straight' were tied as the next most frequent factors, each cited in 13 crashes (11.3%). Running a stop sign was also a significant factor, contributing to 10 crashes.

Officer-Reported Primary Contributing Cause

Driving too fast for conditions22 (19.1%)
Ran off road - straight13 (11.3%)
Lost Control13 (11.3%)
Ran Stop Sign10 (8.7%)
Ran off road - left6 (5.2%)
Other (explain in narrative): Other6 (5.2%)
FTYROW: From stop sign5 (4.3%)
FTYROW: At uncontrolled intersection4 (3.5%)
Operating vehicle in an reckless, erratic, careless, negligent manner3 (2.6%)
Driver Distraction: Exterior distraction3 (2.6%)

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

Road & Environmental Conditions

The majority of crashes occurred in seemingly ideal conditions, with 65 incidents happening in clear weather and 64 on dry road surfaces. Seventy crashes, or 60.9%, took place during daylight. However, adverse conditions were also a factor, as 19 crashes occurred on icy or frosty roads and 11 happened during snowfall.

Weather

Clear65 (60.7%)
Cloudy16 (15.0%)
Snow11 (10.3%)
Rain6 (5.6%)
Freezing rain/drizzle5 (4.7%)
Blowing Snow2 (1.9%)
Severe Winds1 (0.9%)
Fog, smoke, smog1 (0.9%)

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

Lighting

Daylight70 (63.1%)
Dark - roadway not lighted28 (25.2%)
Dark - roadway lighted7 (6.3%)
Dawn4 (3.6%)
Dark - unknown roadway lighting1 (0.9%)
Dusk1 (0.9%)

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

Road Surface

Dry64 (57.1%)
Ice/frost19 (17.0%)
Snow14 (12.5%)
Wet7 (6.3%)
Gravel5 (4.5%)
Other (explain in narrative)2 (1.8%)
Slush1 (0.9%)

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

Vehicles & Demographics

Among the 258 people involved in crashes, the 26-34 age group was the most represented, with 49 individuals. An analysis of the 179 vehicles involved shows that Chevrolet (49 vehicles), Ford (30 vehicles), and Dodge (14 vehicles) were the most frequent makes recorded in crash reports.

Top Vehicle Makes (179 vehicles)

1
FORD30 (16.8%)
2
CHEV29 (16.2%)
3
CHEVROLET20 (11.2%)
4
DODG10 (5.6%)
5
GMC7 (3.9%)
6
PONT5 (2.8%)
7
FREIGHTLINER5 (2.8%)
8
PONTIAC5 (2.8%)
9
TOYT5 (2.8%)
10
DODGE4 (2.2%)

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

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

Sex Distribution (169 persons with recorded sex)

Male111 (65.7%)
Female58 (34.3%)

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

Major Cause

The leading major cause attributed to crashes was 'Driving too fast for conditions,' cited in 22 incidents (19.1%). 'Ran off road - straight' and 'Lost Control' were the next most common causes, each contributing to 13 crashes (11.3%). Running a stop sign was the cause of 10 crashes.

Major Cause

1
Driving too fast for conditions22 (19.3%)
2
Ran off road - straight13 (11.4%)
3
Lost Control13 (11.4%)
4
Ran Stop Sign10 (8.8%)
5
Ran off road - left6 (5.3%)
6
Other (explain in narrative): Other6 (5.3%)
7
FTYROW: From stop sign5 (4.4%)
8
FTYROW: At uncontrolled intersection4 (3.5%)
9
Operating vehicle in an reckless, erratic, careless, negligent manner3 (2.6%)

Showing top 9 of 30 reported. 21 additional (32 total) not shown: Driver Distraction: Exterior distraction, Driver Distraction: Other electronic device activity, Exceeded authorized speed, FTYROW: Making left turn, Crossed centerline (undivided), Animal, Made improper turn, Vehicle stopped on railroad tracks, Driver Distraction: Adjusting devices (radio, climate), Driver Distraction: Inattentive/lost in thought, Driver Distraction: Reaching for object(s)/fallen object(s), Failed to keep in proper lane, Followed too close, FTYROW: From driveway, FTYROW: Other (explain in narrative), Illegally Parked/Unattended, Improper or erratic lane changing, Operator inexperience, Other (explain in narrative): Vision obstructed, Ran Traffic Signal, Swerving/Evasive Action.

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 49 crashes. The second most frequent event was a non-collision 'Overturn/rollover,' accounting for 26 incidents. Collisions with fixed objects were also common, including 16 crashes involving a ditch.

First Harmful Event

1
Collision with: Vehicle in traffic49 (45%)
2
Non-collision events: Overturn/rollover26 (23.9%)
3
Collision with fixed object: Ditch16 (14.7%)
4
Collision with: Parked motor vehicle4 (3.7%)
5
Collision with fixed object: Utility pole/light support3 (2.8%)
6
Collision with: Animal2 (1.8%)
7
Collision with fixed object: Tree2 (1.8%)
8
Collision with: Re-entering roadway2 (1.8%)
9
Non-collision events: Vehicle went airborne1 (0.9%)

Showing top 9 of 13 reported. 4 additional (4 total) not shown: Collision with fixed object: Other fixed object (explain in narrative), Non-collision events: Non-contact vehicle (phantom), Collision with fixed object: Bridge/bridge rail parapet, 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

Crashes were more likely to occur away from intersections, with 57 incidents happening on non-junction road segments. Four-way intersections were the most common crash site among junction types, accounting for 20 crashes, followed by T-intersections with 16 crashes.

Roadway Junction / Feature

1
Non-intersection: Non-junction/no special feature57 (50.4%)
2
Intersection: Four-way intersection20 (17.7%)
3
Intersection: T-intersection16 (14.2%)
4
Non-intersection: Driveway access (related, not in)7 (6.2%)
5
Non-intersection: Driveway access (within)6 (5.3%)
6
Intersection: Other intersection (explain in narrative)2 (1.8%)
7
Intersection: Y-intersection2 (1.8%)
8
Non-intersection: Other non-intersection (explain in narrative)1 (0.9%)
9
Non-intersection: Alley1 (0.9%)

Showing top 9 of 10 reported. 1 additional (1 total) not shown: 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, with 77 units recorded. Light trucks and pickups were the second most frequent with 39 vehicles, followed by Sport Utility Vehicles with 31. Tractor/semi-trailers were involved in 11 crashes, and motorcycles were involved in 2.

Vehicle Type

"Other" combines 6 smaller categories (6 records): Farm equipment (explain in narrative) (1), Farm tractor (1), School bus (seats > 15) (1), Single unit truck (2-axle, 6-tire) (1), Snowmobile (1), All-terrain vehicle (ATV) (1).

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

Traffic Control Device

The vast majority of crashes, 126 incidents, occurred where no traffic controls were present. In locations with traffic controls, stop signs were the most common device, being present at the scene of 34 crashes. Traffic signals were present for only 2 crashes.

Traffic Control Device

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, with the primary area of damage being the front for 42 vehicles and a front corner for another 34 vehicles. The rear of the vehicle was the most damaged area in 16 cases, indicating a notable share of rear-end collisions. For 19 vehicles, the top was the most damaged area, often associated with rollovers.

Most Damaged Area

"Other" combines 9 smaller categories (41 records): Passenger side - middle (10), Passenger side - rear (6), Passenger side - front (5), Rear - driver side corner (5), Rear - passenger side corner (5), Non-collision/no damage (3), Driver side - rear (3), Other (explain in narrative) (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 municipal limits shows that Britt had the highest volume with 18 crashes. Forest City followed with 13 crashes, and Garner recorded 10 crashes. A significant number of the county's total crashes occurred outside of any incorporated city limits.

Crashes by City

1
BRITT18 (36%)
2
FOREST CITY13 (26%)
3
GARNER10 (20%)
4
KLEMME3 (6%)
5
CORWITH2 (4%)
6
KANAWHA2 (4%)
7
WODEN2 (4%)

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 occurred on paved roadways, with 102 incidents reported on such surfaces. In contrast, 12 crashes were recorded on unpaved roads, accounting for approximately 10.5% of the crashes where the 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

Among roadway-related contributing factors, 'Surface condition' such as wet or icy roads was the most significant, cited in 29 crashes. Other roadway factors were rare, with 'Debris' and 'Work Zone' each noted as a contributor in only one crash.

Roadway Contributing Factor

1
Surface condition (e.g.wet, icy)29 (93.5%)
2
Debris1 (3.2%)
3
Work Zone (roadway-related)1 (3.2%)

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,' the most frequent citation was 'Under the influence of alcohol,' recorded for 8 drivers. The next most common condition was 'Asleep/fatigued,' which was noted for 7 drivers. These figures represent a subset of all drivers and do not capture all instances of impairment or fatigue.

Driver Condition

1
Under the influence of alcohol8 (50%)
2
Asleep/fatigued7 (43.8%)
3
Visually impaired1 (6.3%)

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

Property Damage

The most common estimated cost of property damage fell within the '$1,500 - $7,500' range, which applied to 67 crashes. Eight crashes involved severe damage estimated at '$25,000 or more.' Another 35 crashes had damage estimated between $7,500 and $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 were the most frequent crash type, accounting for 55 incidents or 47.8% of the total. Among multi-vehicle crashes, rear-end collisions were the most common, with 20 incidents (17.4%), followed by broadside collisions with 18 incidents (15.7%).

Manner of Collision

"Other" combines 2 smaller categories (3 records): Angle, oncoming left turn (2), Rear to side (1).

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

Pre-Crash Driver Action

For the majority of vehicles involved in crashes, the pre-crash action was 'Movement essentially straight,' which was reported for 110 vehicles. The next most frequent actions were 'Turning left' (13 vehicles) and being 'Stopped in traffic' (9 vehicles).

Pre-Crash Driver Action

1
Movement essentially straight110 (62.9%)
2
Turning left13 (7.4%)
3
Stopped in traffic9 (5.1%)
4
Turning right7 (4%)
5
Other (explain in narrative)6 (3.4%)
6
Backing6 (3.4%)
7
Legally Parked6 (3.4%)
8
Slowing/stopping (deceleration)5 (2.9%)
9
Negotiating a curve4 (2.3%)

Showing top 9 of 15 reported. 6 additional (9 total) not shown: Starting in road, Changing lanes, Making U-turn, Accelerating in road, Illegally Parked/Unattended, 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 258 individuals involved in crashes, the vast majority were drivers, accounting for 238 people. The remaining 20 individuals were passengers. No pedestrians, cyclists, or other person types were recorded in any crash incidents during this period.

Person Type

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

Person Injury Severity

Across all 258 people involved in crashes, 2 sustained fatal injuries (K). An additional 15 people suffered serious injuries (A), 27 had minor injuries (B), and 34 had possible injuries (C). These injury counts reflect all persons involved, including drivers and passengers.

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 available data for safety equipment usage, 52 individuals were reported as using a shoulder and lap belt. Notably, 11 people were recorded as using no safety restraint at all. One person was noted as wearing a DOT-compliant helmet.

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

Crashes were almost evenly divided between single-vehicle incidents (56 crashes) and two-vehicle incidents (55 crashes). Multi-vehicle pile-ups were infrequent, with only 3 crashes involving three vehicles and one crash 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 9, 2026

Data Coverage

  • Reporting period: 2015-01-01 through 2015-12-31 (365 days)
  • Geographic scope: iowa, IA
  • Total crash records analyzed: 115
  • Total persons involved: 258
  • Total vehicles involved: 179

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

ThatCarHitMe.com · An Injuria.ai Company