Yearly Traffic Safety Analysis

159 CRASHES IN
IOWA, IA
2015

In 2015, Wright County recorded 159 total traffic crashes, resulting in 1 fatality and 52 injuries. A significant portion of these incidents, nearly 19%, were attributed to collisions involving animals, making it the leading contributing factor in the county.

159

Total Crash Events

1

Persons Killed

52

Persons Injured

1

Fatal Crash Events

Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.

Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Aggregate counts from crash, person, and vehicle records

Vulnerable Road User Casualties

In 2015, all recorded fatalities and injuries in Wright County involved motor vehicle occupants. One motorist was killed and 52 were injured. There were no pedestrian or cyclist fatalities or injuries reported in the crash data for this period.

1

Motorists Killed

52

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 Wright County occurred most frequently on Mondays, which saw 32 incidents in 2015. The single busiest hour for crashes was 9 p.m., with 14 recorded events. While commute hours showed elevated crash numbers, including 12 crashes at 6 a.m. and 13 at 3 p.m., a substantial number of incidents also occurred after dark.

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 in Wright County, 75.5% (120 incidents), resulted in no injuries. The remaining 39 crashes involved some level of injury, including 6 serious injury crashes and 18 minor injury crashes. One fatal crash was recorded, which resulted in one fatality.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.6%
Serious Injury6serious injury crashes3.8%
Minor Injury18minor injury crashes11.3%
Possible Injury14possible injury crashes8.8%
No Injury120no injury crashes75.5%

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 common contributing factor cited in Wright County crashes was "Animal," accounting for 30 incidents, or 18.9% of the total. Following this, "Lost Control" was a factor in 17 crashes (10.7%), and "Driving too fast for conditions" was noted in 10 crashes (6.3%). Failure to yield at an uncontrolled intersection contributed to another 8 crashes.

Officer-Reported Primary Contributing Cause

Animal30 (18.9%)
Lost Control17 (10.7%)
Driving too fast for conditions10 (6.3%)
FTYROW: At uncontrolled intersection8 (5%)
Ran off road - straight7 (4.4%)
FTYROW: From stop sign7 (4.4%)
Other (explain in narrative): Other6 (3.8%)
Driver Distraction: Other interior distraction5 (3.1%)
Operating vehicle in an reckless, erratic, careless, negligent manner5 (3.1%)
Ran off road - left5 (3.1%)

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 majority of crashes occurred in ideal driving conditions, with 54.7% (87 crashes) happening in clear weather and 52.8% (84 crashes) during daylight hours. Similarly, 51.6% of incidents (82 crashes) were on dry road surfaces. Adverse road conditions were a factor in a notable number of crashes, with 14 incidents on icy or frosty surfaces and another 14 on wet roads.

Weather

Clear87 (66.9%)
Cloudy17 (13.1%)
Snow8 (6.2%)
Rain5 (3.8%)
Fog, smoke, smog4 (3.1%)
Freezing rain/drizzle4 (3.1%)
Severe Winds3 (2.3%)
Blowing Snow1 (0.8%)
Blowing sand, soil, dirt1 (0.8%)

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

Lighting

Daylight84 (65.1%)
Dark - roadway not lighted16 (12.4%)
Dark - roadway lighted15 (11.6%)
Dusk6 (4.7%)
Dawn5 (3.9%)
Dark - unknown roadway lighting3 (2.3%)

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

Road Surface

Dry82 (63.1%)
Ice/frost14 (10.8%)
Wet14 (10.8%)
Snow10 (7.7%)
Gravel8 (6.2%)
Mud, dirt2 (1.5%)

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

Vehicles & Demographics

Among the 295 people involved in crashes, the 16-20 and 26-34 age groups were the most represented, each with 45 individuals. An analysis of the 241 vehicles involved shows Chevrolet was the most frequent make with 61 vehicles, followed by Ford with 41 and Dodge with 26.

Top Vehicle Makes (241 vehicles)

1
FORD41 (17%)
2
CHEV37 (15.4%)
3
CHEVROLET24 (10%)
4
DODG15 (6.2%)
5
NR11 (4.6%)
6
NISSAN11 (4.6%)
7
DODGE11 (4.6%)
8
JEEP7 (2.9%)
9
GMC6 (2.5%)
10
BUIC5 (2.1%)

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

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

Sex Distribution (199 persons with recorded sex)

Male100 (50.3%)
Female99 (49.7%)

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 identified in crashes was "Animal," cited in 30 incidents. This was followed by "Lost Control" in 17 crashes and "Driving too fast for conditions" in 10 crashes. Failure to yield was also a prominent factor, with 8 crashes attributed to failing to yield at an uncontrolled intersection and 7 to failing to yield from a stop sign.

Major Cause

1
Animal30 (20.8%)
2
Lost Control17 (11.8%)
3
Driving too fast for conditions10 (6.9%)
4
FTYROW: At uncontrolled intersection8 (5.6%)
5
Ran off road - straight7 (4.9%)
6
FTYROW: From stop sign7 (4.9%)
7
Other (explain in narrative): Other6 (4.2%)
8
Driver Distraction: Other interior distraction5 (3.5%)
9
Operating vehicle in an reckless, erratic, careless, negligent manner5 (3.5%)

Showing top 9 of 36 reported. 27 additional (49 total) not shown: Ran off road - left, Ran Stop Sign, Other (explain in narrative): No improper action, Driver Distraction: Inattentive/lost in thought, FTYROW: Making left turn, Made improper turn, FTYROW: From parked position, Failed to keep in proper lane, Driver Distraction: Exterior distraction, Exceeded authorized speed, FTYROW: From driveway, Crossed centerline (undivided), Driver Distraction: Manual operation of an electronic communication device, Driver Distraction: Other electronic device activity, Driver Distraction: Talking on a hand-held device, Equipment failure, Failed to yield to emergency vehicle, Followed too close, FTYROW: Other (explain in narrative), Improper Backing, Improper or erratic lane changing, Driver Distraction: Adjusting devices (radio, climate), Passing: Other passing (explain in narrative), Passing: Where prohibited by signs/markings, Ran Traffic Signal, Separation of units, 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 another vehicle in traffic, which occurred in 59 crashes. The second most frequent event was a collision with an animal, accounting for 30 incidents. Crashes involving leaving the roadway were also common, including 19 collisions with a ditch and 10 overturns or rollovers.

First Harmful Event

1
Collision with: Vehicle in traffic59 (37.3%)
2
Collision with: Animal30 (19%)
3
Collision with fixed object: Ditch19 (12%)
4
Collision with: Parked motor vehicle10 (6.3%)
5
Non-collision events: Overturn/rollover10 (6.3%)
6
Collision with: Re-entering roadway6 (3.8%)
7
Non-collision events: Other non-collision (explain in narrative)4 (2.5%)
8
Other (explain in narrative)3 (1.9%)
9
Collision with fixed object: Utility pole/light support3 (1.9%)

Showing top 9 of 20 reported. 11 additional (14 total) not shown: Non-collision events: Non-contact vehicle (phantom), Miscellaneous events: Hit and run, Collision with fixed object: Ground, Non-collision events: Vehicle went airborne, Collision with fixed object: Building, Collision with fixed object: Culvert/pipe opening, Collision with fixed object: Traffic sign support, Collision with: Other non-fixed object (explain in narrative), Collision with fixed object: Bridge pier or support, Collision with: Thrown or falling object, Collision with fixed object: Bridge/bridge rail parapet.

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

Roadway Junction / Feature

A majority of crashes, 73 incidents, occurred on non-junction road segments. In contrast, 43 crashes happened at intersections, with four-way intersections being the most common type, accounting for 31 of these incidents. An additional 10 crashes were related to driveway access.

Roadway Junction / Feature

1
Non-intersection: Non-junction/no special feature73 (55.7%)
2
Intersection: Four-way intersection31 (23.7%)
3
Intersection: T-intersection8 (6.1%)
4
Non-intersection: Driveway access (related, not in)7 (5.3%)
5
Non-intersection: Driveway access (within)3 (2.3%)
6
Non-intersection: Other non-intersection (explain in narrative)3 (2.3%)
7
Intersection: Other intersection (explain in narrative)2 (1.5%)
8
Non-intersection: Railroad grade crossing2 (1.5%)
9
Intersection: Intersection with ramp1 (0.8%)

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

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 102 units recorded. Light trucks and pickups were the next most frequent with 47 vehicles, followed closely by sport utility vehicles with 42. Commercial vehicles and motorcycles represented a smaller share, with 5 tractor-trailers and 2 motorcycles involved in crashes.

Vehicle Type

"Other" combines 6 smaller categories (8 records): Cargo/panel van (2), Motorcycle (2), School bus (seats > 15) (1), Passenger van (seats 9-15) (1), Other (explain in narrative) (1), Farm tractor (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 incidents, 159 crashes, occurred where no traffic controls were present. Stop signs were the most common form of traffic control noted in crashes where one was present, being a factor in 25 incidents. Traffic signals were present in 6 crashes.

Traffic Control Device

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

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 38 vehicles. Angle collisions involving the side of a vehicle were also frequent, with damage to the driver-side middle (19 vehicles) and passenger-side front (20 vehicles) being prominent. Damage to the rear of the vehicle was noted in 15 cases.

Most Damaged Area

"Other" combines 8 smaller categories (62 records): Rear (15), Passenger side - middle (11), Top (10), Driver side - rear (8), Passenger side - rear (6), Rear - passenger side corner (6), Other (explain in narrative) (5), Undercarriage (1).

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

Crashes by City

Within Wright County, the highest volume of crashes was recorded in Clarion, with 40 incidents. The city of Belmond followed with 29 crashes, and Eagle Grove had 25. Other municipalities like Dows and Woolstock reported 6 and 5 crashes, respectively.

Crashes by City

1
CLARION40 (35.4%)
2
BELMOND29 (25.7%)
3
EAGLE GROVE25 (22.1%)
4
DOWS6 (5.3%)
5
WOOLSTOCK5 (4.4%)
6
GOLDFIELD3 (2.7%)
7
ROWAN3 (2.7%)
8
RENWICK1 (0.9%)
9
GALT1 (0.9%)

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

Paved vs Unpaved Road

The data indicates that crashes occurred on both paved and unpaved surfaces. Of the incidents where road surface type was specified, 16 crashes, or approximately 10.1%, took place on unpaved gravel or dirt roads. The remaining 142 crashes occurred on paved roadways.

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, adverse surface conditions such as wet or icy pavement were the most cited, contributing to 19 crashes. Other factors like roadway obstructions, shoulder issues, and work zones were each noted in only one crash, indicating they were infrequent contributors.

Roadway Contributing Factor

1
Surface condition (e.g.wet, icy)19 (82.6%)
2
Obstruction in roadway1 (4.3%)
3
Shoulders (none, low, soft, high)1 (4.3%)
4
Slippery, loose or worn surface1 (4.3%)
5
Work Zone (roadway-related)1 (4.3%)

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 normal, driving under the influence of alcohol was the most frequent, recorded for 9 drivers. Other documented conditions included being emotional (2 drivers), asleep or fatigued (1 driver), and having a medical condition (1 driver). These numbers represent only the instances where a specific condition was officially recorded.

Driver Condition

1
Under the influence of alcohol9 (69.2%)
2
Emotional (e.g. depressed, angry)2 (15.4%)
3
Asleep/fatigued1 (7.7%)
4
Medical condition (seizure, reaction)1 (7.7%)

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

Property Damage

Property damage was estimated in 159 crashes, with the most common cost band being $1,500 to $7,500, which applied to 115 incidents. A smaller number of crashes resulted in higher damage, with 37 estimated between $7,500 and $25,000, and 4 crashes causing damage estimated at over $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 crashes, categorized as non-collisions, were the most frequent type of incident, accounting for 64 crashes or 40.3% of the total. Among multi-vehicle crashes, broadside (front-to-side) collisions were the most common, with 22 incidents (13.8%). Rear-end collisions were also notable, occurring in 15 crashes (9.4%).

Manner of Collision

"Other" combines 3 smaller categories (6 records): Other (explain in narrative) (2), Sideswipe, opposite direction (2), Head-on (front to front) (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 "Movement essentially straight," recorded for 126 vehicles. A notable number of incidents, 23, involved a legally parked vehicle. Turning left was the third most frequent action, documented for 19 vehicles immediately prior to a collision.

Pre-Crash Driver Action

1
Movement essentially straight126 (59.2%)
2
Legally Parked23 (10.8%)
3
Turning left19 (8.9%)
4
Backing11 (5.2%)
5
Turning right10 (4.7%)
6
Other (explain in narrative)9 (4.2%)
7
Overtaking/passing4 (1.9%)
8
Negotiating a curve4 (1.9%)
9
Slowing/stopping (deceleration)3 (1.4%)

Showing top 9 of 12 reported. 3 additional (4 total) not shown: Changing lanes, Stopped in traffic, 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 295 individuals involved in crashes, the vast majority, 286 people, were drivers. Passengers accounted for the remaining 9 individuals. No other person types, such as pedestrians or cyclists, were recorded in the data for 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 295 people involved in crashes, there was 1 fatality and a total of 52 injuries. The injuries were distributed as 6 serious, 25 minor, and 21 possible injuries. The data shows that the majority of people involved in crashes did not sustain a recorded injury.

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 small subset of crash participants where safety equipment use was documented, 38 individuals were recorded as using a shoulder and lap belt. Six individuals were recorded as using no safety equipment, representing 13.6% of those with known usage data.

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 in Wright County were almost evenly split between single-vehicle and two-vehicle incidents. Two-vehicle crashes were slightly more common, with 82 incidents recorded, while single-vehicle crashes accounted for the remaining 77 incidents. No crashes involving three or more vehicles were reported.

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: 159
  • Total persons involved: 295
  • Total vehicles involved: 241

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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Wright County, IA Crash Report — 2015 | ThatCarHitMe.com