Yearly Traffic Safety Analysis

152 CRASHES IN
IOWA, IA
2015

In 2015, Jackson County recorded 152 traffic crashes, resulting in 4 fatalities and 76 injuries. A notable characteristic of these incidents is the prevalence of single-vehicle crashes, which accounted for 83 of the total collisions, representing 54.6% of all events. The majority of crashes, 62.5%, resulted in no injuries.

152

Total Crash Events

4

Persons Killed

76

Persons Injured

3

Fatal Crash Events

Note: "Persons Killed" (4) counts individual fatalities across all crash events. "Fatal" in the severity table below (3) 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

Of the 81 individuals killed or injured, the vast majority were vehicle motorists, with 4 killed and 75 injured. One pedestrian was injured in a crash during this period. No cyclist fatalities or injuries were recorded in the data for 2015.

0

Pedestrians Killed

4

Motorists Killed

1

Pedestrians Injured

75

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 Jackson County peaked on Fridays, which saw 25 incidents over the year. The single busiest hour for crashes was 3 p.m., with 15 recorded events. While a majority of crashes occurred during daylight hours (86 incidents), a significant number also happened in dark conditions, with 40 on unlit roadways and 10 on lit roadways.

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 152 total crashes, 95 incidents (62.5%) were classified as having no injuries. The remaining 57 crashes involved injuries of varying severity, including 10 serious injury crashes, 19 minor injury crashes, and 25 with possible injuries. There were 3 fatal crashes recorded, which resulted in a total of 4 fatalities, indicating at least one crash involved multiple deaths.

Severity is per crash event (most severe injury). 3 fatal crash events resulted in 4 persons killed.

Outcome by Severity (Crash Events)

Fatal3fatal crashes2%
Serious Injury10serious injury crashes6.6%
Minor Injury19minor injury crashes12.5%
Possible Injury25possible injury crashes16.4%
No Injury95no injury crashes62.5%

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 leading contributing factor cited in crashes was a driver losing control, which was noted in 28 incidents (18.4%). This was followed by vehicles running off a straight road, accounting for 23 crashes (15.1%). Collisions involving animals were the third most common factor, contributing to 11 crashes (7.2%).

Officer-Reported Primary Contributing Cause

Lost Control28 (18.4%)
Ran off road - straight23 (15.1%)
Animal11 (7.2%)
Ran off road - left9 (5.9%)
FTYROW: Making left turn8 (5.3%)
FTYROW: From stop sign7 (4.6%)
Other (explain in narrative): Other5 (3.3%)
Operating vehicle in an reckless, erratic, careless, negligent manner4 (2.6%)
Driving too fast for conditions4 (2.6%)
Driver Distraction: Other interior distraction3 (2%)

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 ideal driving conditions, with 95 incidents (62.5%) happening in clear weather and 85 (55.9%) on dry road surfaces. Similarly, 86 crashes (56.6%) took place during daylight hours. Adverse conditions were less frequent, with 16 crashes on snow, 12 on wet roads, and 11 during rain.

Weather

Clear95 (66.9%)
Cloudy23 (16.2%)
Rain11 (7.7%)
Snow4 (2.8%)
Fog, smoke, smog3 (2.1%)
Blowing Snow3 (2.1%)
Freezing rain/drizzle2 (1.4%)
Blowing sand, soil, dirt1 (0.7%)

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

Lighting

Daylight86 (61.0%)
Dark - roadway not lighted40 (28.4%)
Dark - roadway lighted10 (7.1%)
Dawn3 (2.1%)
Dusk2 (1.4%)

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

Road Surface

Dry85 (63.0%)
Gravel18 (13.3%)
Snow16 (11.9%)
Wet12 (8.9%)
Ice/frost4 (3.0%)

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

Vehicles & Demographics

Among the 302 people involved in crashes, the 16-20 age group was the most represented, with 53 individuals, followed by the 45-54 age group with 45 individuals. An analysis of the 222 vehicles involved shows Ford was the most common make with 50 vehicles. Chevrolet vehicles (recorded as 'CHEVROLET' and 'CHEV') accounted for a combined 55 vehicles, and Dodge vehicles (recorded as 'DODGE' and 'DODG') accounted for 18.

Top Vehicle Makes (222 vehicles)

1
FORD50 (22.5%)
2
CHEVROLET34 (15.3%)
3
CHEV21 (9.5%)
4
DODGE13 (5.9%)
5
PONTIAC10 (4.5%)
6
HONDA7 (3.2%)
7
JEEP7 (3.2%)
8
BUIC7 (3.2%)
9
GMC5 (2.3%)
10
BUICK5 (2.3%)

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

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

Sex Distribution (196 persons with recorded sex)

Male121 (61.7%)
Female75 (38.3%)

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

Major Cause

The most frequently cited major cause of crashes was 'Lost Control,' accounting for 28 incidents. 'Ran off road - straight' was the second leading cause with 23 crashes, followed by collisions with an 'Animal' in 11 crashes. Failure to yield when making a left turn was cited in 8 crashes.

Major Cause

1
Lost Control28 (19.6%)
2
Ran off road - straight23 (16.1%)
3
Animal11 (7.7%)
4
Ran off road - left9 (6.3%)
5
FTYROW: Making left turn8 (5.6%)
6
FTYROW: From stop sign7 (4.9%)
7
Other (explain in narrative): Other5 (3.5%)
8
Operating vehicle in an reckless, erratic, careless, negligent manner4 (2.8%)
9
Driving too fast for conditions4 (2.8%)

Showing top 9 of 32 reported. 23 additional (44 total) not shown: Driver Distraction: Other interior distraction, Driver Distraction: Reaching for object(s)/fallen object(s), Driver Distraction: Exterior distraction, Other (explain in narrative): No improper action, Passing: Other passing (explain in narrative), Ran off road - right, Ran Stop Sign, FTYROW: Other (explain in narrative), Driver Distraction: Unrestrained animal, Driver Distraction: Inattentive/lost in thought, Ran Traffic Signal, Crossed centerline (undivided), FTYROW: From parked position, Followed too close, Other (explain in narrative): Vision obstructed, Failure to signal intentions, Illegally Parked/Unattended, Improper Backing, Driver Distraction: Adjusting devices (radio, climate), Made improper turn, Swerving/Evasive Action, FTYROW: From driveway, Driver Distraction: Passenger.

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 50 crashes. Single-vehicle incidents were also prominent, with 'Overturn/rollover' being the first harmful event in 22 crashes and striking a 'Ditch' in 18 crashes. Collisions with animals were the initial event in 10 crashes.

First Harmful Event

1
Collision with: Vehicle in traffic50 (35.2%)
2
Non-collision events: Overturn/rollover22 (15.5%)
3
Collision with fixed object: Ditch18 (12.7%)
4
Collision with: Animal10 (7%)
5
Collision with fixed object: Tree8 (5.6%)
6
Collision with: Parked motor vehicle7 (4.9%)
7
Other (explain in narrative)3 (2.1%)
8
Collision with: Re-entering roadway2 (1.4%)
9
Collision with fixed object: Bridge/bridge rail parapet2 (1.4%)

Showing top 9 of 22 reported. 13 additional (20 total) not shown: Collision with fixed object: Culvert/pipe opening, Collision with fixed object: Embankment, Collision with fixed object: Ground, Collision with fixed object: Guardrail - face, Collision with fixed object: Mailbox, Miscellaneous events: Hit and run, Non-collision events: Non-contact vehicle (phantom), Non-collision events: Fell/jumped from vehicle, Collision with fixed object: Other post/pole/support (explain in narrative), Non-collision events: Other non-collision (explain in narrative), Collision with: Non-motorist (see non-motorist section - NOT a unit), Collision with: Thrown or falling object, Collision with fixed object: Traffic sign support.

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

Roadway Junction / Feature

The majority of crashes, a total of 104, occurred at non-intersection locations, with 95 of those happening on straight or curved road segments with no special feature. In contrast, 31 crashes occurred at intersections, with four-way intersections being the most common type, accounting for 17 incidents.

Roadway Junction / Feature

1
Non-intersection: Non-junction/no special feature95 (70.4%)
2
Intersection: Four-way intersection17 (12.6%)
3
Intersection: T-intersection12 (8.9%)
4
Non-intersection: Driveway access (related, not in)7 (5.2%)
5
Intersection: Traffic circle1 (0.7%)
6
Non-intersection: Driveway access (within)1 (0.7%)
7
Intersection: Other intersection (explain in narrative)1 (0.7%)
8
Non-intersection: Other non-intersection (explain in narrative)1 (0.7%)

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 92 vehicles recorded. Light trucks and SUVs were also frequently involved, with 50 four-tire light trucks and 37 sport utility vehicles documented. Commercial trucks and motorcycles represented a small fraction of the total, with 3 tractor/semi-trailers and 3 motorcycles involved in incidents.

Vehicle Type

"Other" combines 9 smaller categories (12 records): Single unit truck (2-axle, 6-tire) (2), All-terrain vehicle (ATV) (2), Truck/trailer (2), Motor home/recreational vehicle (1), Other small bus (seats 9-15) (1), Cargo/panel van (1), Moped (1), Farm equipment (explain in narrative) (1), School bus (seats > 15) (1).

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

Traffic Control Device

Data indicates that the vast majority of vehicles involved in crashes were in areas with no traffic controls present, accounting for 179 of the 222 vehicles. For crashes where traffic controls were a factor, stop signs were the most common, present for 26 vehicles involved in collisions.

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 area of damage, with the 'Front' being the most damaged area on 63 vehicles. Rear impacts were recorded for 21 vehicles. Side impacts were also notable, with the 'Driver side - middle' and 'Passenger side - middle' accounting for 15 and 13 vehicles, respectively.

Most Damaged Area

"Other" combines 8 smaller categories (42 records): Driver side - front (10), Passenger side - front (7), Other (explain in narrative) (6), Rear - driver side corner (6), Driver side - rear (4), Passenger side - rear (4), Rear - passenger side corner (3), Non-collision/no damage (2).

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

Crashes by City

Crash distribution within Jackson County was concentrated in its larger municipalities. Maquoketa recorded the highest number of crashes with 45 incidents. Bellevue followed with 9 crashes, while Andrew, Miles, and Preston each reported 2 crashes.

Crashes by City

1
MAQUOKETA45 (70.3%)
2
BELLEVUE9 (14.1%)
3
ANDREW2 (3.1%)
4
MILES2 (3.1%)
5
PRESTON2 (3.1%)
6
SABULA1 (1.6%)
7
ZWINGLE1 (1.6%)
8
LA MOTTE1 (1.6%)
9
BALDWIN1 (1.6%)

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

Paved vs Unpaved Road

Of the crashes where road surface type was recorded, 116 occurred on paved roads. A significant portion, 34 crashes or approximately 22.7% of the total, took place on the county's unpaved road network.

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, a roadway factor was identified as a contributor. The most common factor was 'Surface condition (e.g.wet, icy),' which was cited in 17 incidents. Other factors, such as shoulder issues and obstructions, were noted in fewer than 5 crashes each.

Roadway Contributing Factor

1
Surface condition (e.g.wet, icy)17 (77.3%)
2
Shoulders (none, low, soft, high)3 (13.6%)
3
Obstruction in roadway1 (4.5%)
4
Slippery, loose or worn surface1 (4.5%)

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

Driver Condition

Among drivers for whom a condition other than 'apparently normal' was recorded, 'Asleep/fatigued' was the most common, noted for 9 drivers. Being 'Under the influence of alcohol' was the condition for 6 drivers, while 'Emotional' distress and 'Medical condition' were each noted for 3 drivers.

Driver Condition

1
Asleep/fatigued9 (42.9%)
2
Under the influence of alcohol6 (28.6%)
3
Emotional (e.g. depressed, angry)3 (14.3%)
4
Medical condition (seizure, reaction)3 (14.3%)

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

Property Damage

The most common range for estimated property damage was '$1,500 - $7,500,' which applied to 109 crashes. Thirty-one crashes resulted in damages between $7,500 and $25,000. Only two crashes were estimated to have damage costs 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

Over half of all incidents, 83 out of 152, were non-collision or single-vehicle crashes, making this the dominant crash pattern at 54.6%. Among multi-vehicle crashes, rear-end collisions were the most frequent, accounting for 19 incidents (12.5%), followed closely by broadside collisions with 18 incidents (11.8%).

Manner of Collision

"Other" combines 2 smaller categories (3 records): Other (explain in narrative) (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

The most common pre-crash action for vehicles involved was 'Movement essentially straight,' recorded for 129 vehicles. 'Turning left' was the second most frequent action preceding a crash, noted for 23 vehicles, followed by 'Negotiating a curve' for 12 vehicles.

Pre-Crash Driver Action

1
Movement essentially straight129 (60%)
2
Turning left23 (10.7%)
3
Negotiating a curve12 (5.6%)
4
Legally Parked12 (5.6%)
5
Turning right10 (4.7%)
6
Stopped in traffic6 (2.8%)
7
Overtaking/passing5 (2.3%)
8
Slowing/stopping (deceleration)4 (1.9%)
9
Backing3 (1.4%)

Showing top 9 of 15 reported. 6 additional (11 total) not shown: Other (explain in narrative), Making U-turn, Entering traffic lane (merging), Entering a parked position, Leaving a parked position, Illegally Parked/Unattended.

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

Person Type

Among the 302 individuals involved in crashes, the vast majority were drivers, accounting for 279 people. Passengers made up the next largest group with 22 individuals. A single pedestrian was also involved in an incident.

Person Type

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

Person Injury Severity

Across all 302 people involved in crashes, a total of 80 individuals sustained some level of injury or were killed. This includes 4 fatalities, 11 serious injuries, 27 minor injuries, and 38 possible injuries. The remaining 222 individuals were not reported as injured.

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 48 participants with recorded safety equipment usage, 36 were noted as using a shoulder and lap belt. Eight individuals were documented as using no restraint system at all. One person was in a child safety seat and one was 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

Single-vehicle crashes were the most common type, accounting for 84 of the 152 total incidents (55.3%). Two-vehicle collisions were the next most frequent, with 66 incidents recorded. A small number of crashes, just 2, involved three 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: 152
  • Total persons involved: 302
  • Total vehicles involved: 222

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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