Yearly Traffic Safety Analysis

112 CRASHES IN
IOWA, IA
2015

In 2015, Davis County recorded 112 traffic crashes, resulting in 2 fatalities and 61 injuries. A significant finding from the data is that collisions involving animals were the leading contributing factor, cited in 39 of the total crashes.

112

Total Crash Events

2

Persons Killed

61

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 terms of killed and seriously injured (KSI) individuals, motorists comprised the largest group, with 1 motorist fatality and 54 motorists injured. While no pedestrians were killed, 2 pedestrians sustained injuries. No cyclists were reported as killed or injured in 2015.

0

Pedestrians Killed

1

Motorists Killed

1

Other Killed

2

Pedestrians Injured

54

Motorists Injured

5

Other 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 analysis by time reveals specific patterns. Fridays were the most frequent day for crashes, with 23 incidents recorded. The afternoon and evening hours showed a high concentration of crashes, with 1 p.m., 3 p.m., and 6 p.m. each being peak times with 11 crashes.

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

Of the 112 crashes in Davis County, 71.4% (80 crashes) resulted in no injuries. The remaining crashes involved injuries of varying severity, including 8 serious injury, 8 minor injury, and 14 possible injury crashes. There were 2 fatal crashes, which accounted for 1.8% of all incidents and resulted in 2 total fatalities.

Outcome by Severity (Crash Events)

Fatal2fatal crashes1.8%
Serious Injury8serious injury crashes7.1%
Minor Injury8minor injury crashes7.1%
Possible Injury14possible injury crashes12.5%
No Injury80no injury crashes71.4%

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 primary contributing factor to crashes was interaction with animals, cited in 39 incidents and representing 34.8% of the total. Following this, 'Followed too close' was the next most common factor, contributing to 8 crashes (7.1%). Other notable factors included running off the road, driver inattention, and failure to yield right-of-way from a stop sign, each accounting for 5 crashes.

Officer-Reported Primary Contributing Cause

Animal39 (34.8%)
Followed too close8 (7.1%)
Ran off road - straight5 (4.5%)
Driver Distraction: Inattentive/lost in thought5 (4.5%)
Other (explain in narrative): Other5 (4.5%)
FTYROW: From stop sign5 (4.5%)
FTYROW: From driveway4 (3.6%)
Lost Control4 (3.6%)
Ran off road - left4 (3.6%)
Ran Stop Sign4 (3.6%)

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 under favorable environmental conditions. Specifically, 72 crashes (64.3%) happened in clear weather, 70 (62.5%) on dry road surfaces, and 62 (55.4%) during daylight hours. Crashes in adverse conditions were less frequent, with 7 incidents on wet roads and 4 on roads with ice or frost.

Weather

Clear72 (78.3%)
Cloudy17 (18.5%)
Rain2 (2.2%)
Fog, smoke, smog1 (1.1%)

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

Lighting

Daylight62 (68.1%)
Dark - roadway not lighted19 (20.9%)
Dark - roadway lighted4 (4.4%)
Dawn3 (3.3%)
Dusk3 (3.3%)

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

Road Surface

Dry70 (76.1%)
Gravel8 (8.7%)
Wet7 (7.6%)
Ice/frost4 (4.3%)
Snow2 (2.2%)
Other (explain in narrative)1 (1.1%)

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

Vehicles & Demographics

Analysis of persons involved in crashes shows the 16-20 age group was the most represented, with 45 individuals, followed by the 45-54 age group with 37 individuals. Among the 166 vehicles involved, Chevrolet was the most frequent make with 40 vehicles, followed by Ford with 31 vehicles and Dodge with 17 vehicles.

Top Vehicle Makes (166 vehicles)

1
FORD31 (18.7%)
2
CHEV22 (13.3%)
3
CHEVROLET18 (10.8%)
4
DODG10 (6%)
5
DODGE7 (4.2%)
6
PONT6 (3.6%)
7
JEEP6 (3.6%)
8
GMC6 (3.6%)
9
TOYT6 (3.6%)
10
CHRY5 (3%)

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

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

Sex Distribution (148 persons with recorded sex)

Male77 (52.0%)
Female71 (48.0%)

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 crash reports was 'Animal,' which was cited in 39 incidents. The second most frequent cause was 'Followed too close,' contributing to 8 crashes. Other significant causes included 'Ran off road - straight,' 'Driver Distraction: Inattentive/lost in thought,' and 'FTYROW: From stop sign,' each listed as the major cause for 5 crashes.

Major Cause

1
Animal39 (36.1%)
2
Followed too close8 (7.4%)
3
Ran off road - straight5 (4.6%)
4
Driver Distraction: Inattentive/lost in thought5 (4.6%)
5
Other (explain in narrative): Other5 (4.6%)
6
FTYROW: From stop sign5 (4.6%)
7
FTYROW: From driveway4 (3.7%)
8
Lost Control4 (3.7%)
9
Ran off road - left4 (3.7%)

Showing top 9 of 28 reported. 19 additional (29 total) not shown: Ran Stop Sign, FTYROW: Making left turn, Made improper turn, Operating vehicle in an reckless, erratic, careless, negligent manner, Other (explain in narrative): No improper action, FTYROW: Other (explain in narrative), Driver Distraction: Other interior distraction, Swerving/Evasive Action, Driver Distraction: Exterior distraction, Driving too fast for conditions, Equipment failure, Failed to keep in proper lane, Driver Distraction: Passenger, Failure to signal intentions, Downhill runaway, Improper or erratic lane changing, Ran Traffic Signal, Driver Distraction: Other electronic device activity, Other (explain in narrative): Vision obstructed.

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 40 crashes. This was closely followed by collisions with an animal, accounting for 39 crashes. Single-vehicle events were also notable, with 7 crashes involving an overturn or rollover and 10 crashes where the first harmful event was a collision with a fixed object such as a ditch.

First Harmful Event

1
Collision with: Vehicle in traffic40 (35.7%)
2
Collision with: Animal39 (34.8%)
3
Non-collision events: Overturn/rollover7 (6.3%)
4
Collision with: Parked motor vehicle6 (5.4%)
5
Collision with: Non-motorist (see non-motorist section - NOT a unit)4 (3.6%)
6
Collision with fixed object: Ditch4 (3.6%)
7
Other (explain in narrative)2 (1.8%)
8
Collision with fixed object: Tree1 (0.9%)
9
Collision with fixed object: Ground1 (0.9%)

Showing top 9 of 17 reported. 8 additional (8 total) not shown: Collision with fixed object: Curb/island/raised median, Collision with: Re-entering roadway, Collision with fixed object: Traffic signal support, Collision with: Thrown or falling object, Collision with fixed object: Culvert/pipe opening, Non-collision events: Other non-collision (explain in narrative), Collision with fixed object: Building, Collision with: Struck/struck by object/cargo/person from other vehicle.

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

Roadway Junction / Feature

Crashes occurred more frequently on non-intersection road segments than at junctions. Out of the crashes with specified junction types, 51 took place at non-junction locations, and an additional 8 were related to driveway access. In contrast, 28 crashes occurred at intersections, with four-way intersections being the most common type, accounting for 20 of these incidents.

Roadway Junction / Feature

1
Non-intersection: Non-junction/no special feature51 (56%)
2
Intersection: Four-way intersection20 (22%)
3
Non-intersection: Driveway access (related, not in)5 (5.5%)
4
Intersection: T-intersection4 (4.4%)
5
Intersection: Y-intersection3 (3.3%)
6
Non-intersection: Other non-intersection (explain in narrative)3 (3.3%)
7
Non-intersection: Driveway access (within)3 (3.3%)
8
Non-intersection: Alley1 (1.1%)
9
Intersection: Five points or more1 (1.1%)

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

Vehicle Type

Passenger vehicles were involved in the vast majority of crashes. Passenger cars were the most common vehicle type with 66 involved, followed by sport utility vehicles (37) and light trucks or pickups (31). Commercial vehicles were also present, with 9 tractor/semi-trailers involved, along with a single motorcycle.

Vehicle Type

"Other" combines 5 smaller categories (5 records): Farm equipment (explain in narrative) (1), Farm tractor (1), Motorcycle (1), Single-unit truck (>= 3 axles) (1), Cargo/panel van (1).

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

Traffic Control Device

Analysis of traffic controls present for vehicles involved in crashes shows that a large majority, 120 vehicles, were at locations with no traffic controls. For crashes where traffic controls were present, stop signs were noted for 12 vehicles and traffic signals for 9 vehicles. This indicates most incidents occurred on road segments without active traffic control devices.

Traffic Control Device

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, with 44 vehicles sustaining damage to this area. Rear impacts, indicative of rear-end collisions, were the second most frequent, recorded for 21 vehicles. Damage to the sides and corners of vehicles was also common, with frontal corner impacts on 23 vehicles and various side impacts recorded on another 28 vehicles.

Most Damaged Area

"Other" combines 8 smaller categories (27 records): Passenger side - front (6), Driver side - rear (5), Rear - passenger side corner (4), Other (explain in narrative) (3), Non-collision/no damage (3), Passenger side - rear (2), Driver side - middle (2), Undercarriage (2).

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

Crashes by City

Within Davis County, the vast majority of reported crashes occurred in Bloomfield, which recorded 81 incidents. Other municipalities saw significantly fewer crashes, with Drakesville reporting 4, Pulaski reporting 3, and Floris reporting 2 crashes. A single crash was recorded in Adel.

Crashes by City

1
BLOOMFIELD81 (89%)
2
DRAKESVILLE4 (4.4%)
3
PULASKI3 (3.3%)
4
FLORIS2 (2.2%)
5
ADEL1 (1.1%)

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. A total of 94 crashes happened on paved roads, while 17 crashes, or approximately 15.3% of those with road surface data, occurred on unpaved roads. This highlights the role of the county's unpaved road network in local traffic incidents.

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 frequently noted factor was the road surface condition, such as wet or icy pavement, which was a factor in 7 crashes. A slippery, loose, or worn surface contributed to 3 other crashes, and one crash was related to a work zone.

Roadway Contributing Factor

1
Surface condition (e.g.wet, icy)7 (63.6%)
2
Slippery, loose or worn surface3 (27.3%)
3
Work Zone (roadway-related)1 (9.1%)

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

Property Damage

The estimated property damage was recorded for all 112 crashes. The most common damage cost was in the $1,500 to $7,500 range, which applied to 64 crashes. Forty crashes resulted in damages estimated between $7,500 and $25,000, while only one crash was estimated to have damage exceeding $25,000.

Property Damage

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

Manner of Collision

Single-vehicle crashes were the most prevalent type of incident, accounting for 54 crashes, or 48.2% of the total. Collisions between two vehicles were most often rear-end crashes, which occurred 21 times (18.8%). Broadside collisions were the third most common manner of collision, with 10 incidents recorded.

Manner of Collision

"Other" combines 2 smaller categories (3 records): Head-on (front to front) (2), Sideswipe, opposite direction (1).

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 104 vehicles. Other frequent actions included turning left, noted for 11 vehicles, and being legally parked, which applied to 10 vehicles involved in collisions.

Pre-Crash Driver Action

1
Movement essentially straight104 (70.3%)
2
Turning left11 (7.4%)
3
Legally Parked10 (6.8%)
4
Backing5 (3.4%)
5
Slowing/stopping (deceleration)4 (2.7%)
6
Turning right3 (2%)
7
Stopped in traffic3 (2%)
8
Overtaking/passing2 (1.4%)
9
Leaving a parked position1 (0.7%)

Showing top 9 of 14 reported. 5 additional (5 total) not shown: Other (explain in narrative), Entering a parked position, Changing lanes, Negotiating a curve, Entering traffic lane (merging).

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

Person Type

A total of 229 individuals were involved in the crashes. The vast majority of these were drivers, accounting for 200 people. Passengers made up the next largest group with 21 individuals, followed by 6 other non-motorists and 2 pedestrians.

Person Type

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

Person Injury Severity

Across all individuals involved in crashes, there were 2 fatalities recorded. In addition to the fatalities, a total of 61 people sustained injuries. These injuries were categorized as serious for 13 individuals, minor for 21 individuals, and possible for 27 individuals.

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 participants for whom safety equipment use was recorded, 11 individuals were documented as using no restraints at the time of the crash. This compares to 25 individuals who used both a shoulder and lap belt. The available data indicates that nearly 30% of occupants with recorded restraint use were not using any safety equipment.

Occupant Safety Equipment

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

Vehicles Per Crash

The data shows a high proportion of single-vehicle crashes, which accounted for 62 of the 112 total incidents (55.4%). Two-vehicle collisions were also common, with 46 such crashes reported. Crashes involving three or more vehicles were rare, with only 4 incidents 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: 112
  • Total persons involved: 229
  • Total vehicles involved: 166

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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