Yearly Traffic Safety Analysis

978 CRASHES IN
IOWA, IA
2015

In 2015, Cerro Gordo County recorded 978 motor vehicle crashes, resulting in 7 fatalities and 265 injuries. A significant portion of these incidents were single-vehicle crashes, accounting for 25.3% of all collisions. The most frequently cited contributing factor was collisions with animals, which were noted in 154 crashes, representing 15.7% of the total.

978

Total Crash Events

7

Persons Killed

265

Persons Injured

6

Fatal Crash Events

Note: "Persons Killed" (7) counts individual fatalities across all crash events. "Fatal" in the severity table below (6) 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

Motor vehicle occupants represented all 7 fatalities and the vast majority of injuries, with 254 motorists injured in 2015. While there were no fatalities among vulnerable road users, 4 pedestrians and 7 cyclists sustained injuries. These incidents highlight the risks faced by all road users in the county.

0

Pedestrians Killed

0

Cyclists Killed

7

Motorists Killed

4

Pedestrians Injured

7

Cyclists Injured

254

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 occurrences in Cerro Gordo County peaked on Fridays, which saw 200 incidents in 2015. The most common time for crashes was the 4 p.m. hour, with 92 events, followed closely by the 5 p.m. hour with 87 events, indicating a strong correlation with the evening commute. Analysis of lighting conditions shows that a majority of crashes, 614 in total, occurred during daylight hours.

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 vast majority of crashes, 771 out of 978 (78.8%), resulted in no injuries. Crashes involving injuries accounted for 20.6% of the total, with severities ranging from possible (126 crashes) to serious (12 crashes). There were 6 fatal crashes recorded, which resulted in a total of 7 fatalities, underscoring that a single crash event can lead to multiple deaths.

Severity is per crash event (most severe injury). 6 fatal crash events resulted in 7 persons killed.

Outcome by Severity (Crash Events)

Fatal6fatal crashes0.6%
Serious Injury12serious injury crashes1.2%
Minor Injury63minor injury crashes6.4%
Possible Injury126possible injury crashes12.9%
No Injury771no injury crashes78.8%

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

Collisions involving an animal were the leading contributing factor in crashes, accounting for 154 incidents or 15.7% of the total. Other significant factors included following too closely (75 crashes), failure to yield the right-of-way from a stop sign (68 crashes), and driving too fast for conditions (66 crashes). Driver distraction was also a notable contributor, with 'inattentive/lost in thought' and 'other interior distraction' combining for 59 crashes.

Officer-Reported Primary Contributing Cause

Animal154 (15.7%)
Other (explain in narrative): Other90 (9.2%)
Followed too close75 (7.7%)
FTYROW: From stop sign68 (7%)
Driving too fast for conditions66 (6.7%)
Made improper turn40 (4.1%)
FTYROW: Making left turn39 (4%)
Ran off road - left37 (3.8%)
Ran Traffic Signal35 (3.6%)
Driver Distraction: Other interior distraction34 (3.5%)

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 62.8% (614 crashes) happening in daylight and 58.0% (567 crashes) on dry road surfaces. Clear weather was reported for 506 incidents. Adverse conditions still played a role, with 113 crashes on wet roads and 139 crashes on roads affected by snow, ice, or slush.

Weather

Clear506 (60.4%)
Cloudy181 (21.6%)
Rain66 (7.9%)
Snow59 (7.0%)
Freezing rain/drizzle11 (1.3%)
Blowing Snow8 (1.0%)
Fog, smoke, smog3 (0.4%)
Severe Winds2 (0.2%)
Sleet, hail2 (0.2%)

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

Lighting

Daylight614 (73.3%)
Dark - roadway lighted100 (11.9%)
Dark - roadway not lighted75 (8.9%)
Dusk30 (3.6%)
Dawn12 (1.4%)
Dark - unknown roadway lighting7 (0.8%)

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

Road Surface

Dry567 (67.7%)
Wet113 (13.5%)
Snow72 (8.6%)
Ice/frost57 (6.8%)
Gravel16 (1.9%)
Slush10 (1.2%)
Other (explain in narrative)2 (0.2%)

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

Vehicles & Demographics

The analysis of persons involved in crashes shows the highest representation among older age groups, with the 55-64 age bracket accounting for 302 individuals and the 65+ bracket for 297. Among the 1,720 vehicles involved, Ford was the most frequent make with 319 vehicles. Chevrolet (including 'CHEV' and 'CHEVROLET' variants) was also prominent, with a combined total of 391 vehicles, followed by Dodge with 125 vehicles.

Top Vehicle Makes (1,720 vehicles)

1
FORD319 (18.5%)
2
CHEV233 (13.5%)
3
CHEVROLET158 (9.2%)
4
DODG75 (4.4%)
5
TOYT70 (4.1%)
6
CHRY61 (3.5%)
7
PONT61 (3.5%)
8
TOYOTA52 (3%)
9
BUIC50 (2.9%)
10
DODGE50 (2.9%)

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

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

Sex Distribution (1,528 persons with recorded sex)

Male826 (54.1%)
Female702 (45.9%)

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 causes of crashes, as coded by the Iowa DOT, point to specific driver behaviors and environmental factors. Collisions with animals were the single largest cause, cited in 154 incidents. Driver errors followed, including 'Followed too close' (75 crashes), 'Failure to Yield from a stop sign' (68 crashes), and 'Driving too fast for conditions' (66 crashes).

Major Cause

1
Animal154 (16.5%)
2
Other (explain in narrative): Other90 (9.6%)
3
Followed too close75 (8%)
4
FTYROW: From stop sign68 (7.3%)
5
Driving too fast for conditions66 (7.1%)
6
Made improper turn40 (4.3%)
7
FTYROW: Making left turn39 (4.2%)
8
Ran off road - left37 (4%)
9
Ran Traffic Signal35 (3.7%)

Showing top 9 of 49 reported. 40 additional (331 total) not shown: Driver Distraction: Other interior distraction, Lost Control, Driver Distraction: Inattentive/lost in thought, Ran Stop Sign, Ran off road - straight, FTYROW: From driveway, FTYROW: From yield sign, Operating vehicle in an reckless, erratic, careless, negligent manner, Improper or erratic lane changing, FTYROW: At uncontrolled intersection, Improper Backing, Failed to keep in proper lane, Other (explain in narrative): No improper action, FTYROW: Other (explain in narrative), Driver Distraction: Exterior distraction, Driver Distraction: Reaching for object(s)/fallen object(s), Crossed centerline (undivided), Passing: Other passing (explain in narrative), Swerving/Evasive Action, Traveling wrong way or on wrong side of road, Driver Distraction: Manual operation of an electronic communication device, Ran off road - right, FTYROW: From parked position, Exceeded authorized speed, Other (explain in narrative): Vision obstructed, Other (explain in narrative): Disregarded signs/road markings, FTYROW: Making right turn on red signal, Driver Distraction: Adjusting devices (radio, climate), Improper Starting, Driver Distraction: Passenger, FTYROW: To pedestrian, Passing: Through/around barrier, Cargo/equipment loss or shift, Driver Distraction: Talking on a hands free device, Illegally Parked/Unattended, Aggressive driving/road rage, Operator inexperience, Passing: With insufficient distance/inadequate visibility, Disregarded RR Signal, Separation of units.

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 606 of the 978 crashes. The second most frequent event was a collision with an animal, accounting for 150 incidents. Run-off-road events were also common, with crashes involving a ditch (29), a utility pole (9), or a traffic sign support (7) as the first harmful event.

First Harmful Event

1
Collision with: Vehicle in traffic606 (62.3%)
2
Collision with: Animal150 (15.4%)
3
Collision with: Parked motor vehicle52 (5.3%)
4
Non-collision events: Overturn/rollover30 (3.1%)
5
Collision with fixed object: Ditch29 (3%)
6
Collision with: Non-motorist (see non-motorist section - NOT a unit)11 (1.1%)
7
Miscellaneous events: Hit and run10 (1%)
8
Collision with fixed object: Utility pole/light support9 (0.9%)
9
Collision with: Re-entering roadway7 (0.7%)

Showing top 9 of 32 reported. 23 additional (69 total) not shown: Collision with fixed object: Traffic sign support, Collision with fixed object: Curb/island/raised median, Collision with fixed object: Guardrail - face, Collision with: Other non-fixed object (explain in narrative), Collision with fixed object: Other post/pole/support (explain in narrative), Collision with fixed object: Tree, Non-collision events: Other non-collision (explain in narrative), Non-collision events: Jackknife, Collision with fixed object: Bridge/bridge rail parapet, Collision with fixed object: Fence, Collision with fixed object: Fire hydrant, Collision with fixed object: Other fixed object (explain in narrative), Collision with fixed object: Traffic signal support, Collision with fixed object: Cable barrier, Collision with fixed object: Building, Collision with: Work zone maintenance equipment, Other (explain in narrative), Non-collision events: Fell/jumped from vehicle, Collision with: Struck/struck by object/cargo/person from other vehicle, Collision with: Railway vehicle/train, Collision with fixed object: Embankment, Non-collision events: Vehicle went airborne, Collision with fixed object: Bridge overhead structure.

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

Roadway Junction / Feature

Crashes were most likely to occur on non-intersection road segments, which accounted for 417 incidents. Four-way intersections were the second most common location, with 265 crashes recorded. Driveway-related incidents, both within and near driveways, contributed to a combined 50 crashes, while T-intersections were the site of 45 crashes.

Roadway Junction / Feature

1
Non-intersection: Non-junction/no special feature417 (49.7%)
2
Intersection: Four-way intersection265 (31.6%)
3
Intersection: T-intersection45 (5.4%)
4
Non-intersection: Driveway access (related, not in)38 (4.5%)
5
Non-intersection: Other non-intersection (explain in narrative)12 (1.4%)
6
Non-intersection: Driveway access (within)12 (1.4%)
7
Intersection: Other intersection (explain in narrative)11 (1.3%)
8
Non-intersection: Alley10 (1.2%)
9
Intersection: Intersection with ramp9 (1.1%)

Showing top 9 of 18 reported. 9 additional (20 total) not shown: Non-intersection: Railroad grade crossing, Interchange-related: Off-ramp, Interchange-related: On-ramp merge area, Intersection: Y-intersection, Interchange-related: Other interchange (explain in narrative), Interchange-related: Mainline, between ramps, Non-intersection: Crossover-related, Intersection: Five points or more, Interchange-related: Off-ramp, diverge area.

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 826 of the 1,720 total vehicles. Sport utility vehicles (338) and four-tire light trucks or pickups (277) were also frequently involved. Commercial vehicles like tractor/semi-trailers were involved in 44 crashes, while motorcycles were involved in 11.

Vehicle Type

"Other" combines 15 smaller categories (48 records): Motorcycle (11), Single unit truck (2-axle, 6-tire) (11), Passenger van (seats 9-15) (5), Truck/trailer (4), Moped (3), Other bus (seats > 15) (2), School bus (seats > 15) (2), Farm tractor (2), Farm equipment (explain in narrative) (2), Other (explain in narrative) (1), Maintenance/construction vehicle (1), Motor home/recreational vehicle (1), Small school bus (seats 9-15) (1), Train (1), Other light truck (<=10000 lbs) (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 at crash locations shows that for a majority of vehicles involved, no controls were present (872 of 1,720 vehicles). Where traffic controls were a factor, traffic signals were most common, being present for 425 vehicles. Stop signs were the next most frequent control device, present for 213 vehicles involved in collisions.

Traffic Control Device

"Other" combines 4 smaller categories (5 records): Flashing traffic control signal (2), No Passing Zone (marked) (1), Warning sign (1), Work zone sign (1).

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 in 431 instances. This aligns with the high number of rear-end collisions, which is further supported by the 220 vehicles damaged in the rear. Side impacts were also significant, with 114 vehicles sustaining damage to the driver-side middle and 89 to the passenger-side middle.

Most Damaged Area

"Other" combines 9 smaller categories (341 records): Passenger side - front (81), Driver side - rear (63), Rear - driver side corner (54), Passenger side - rear (50), Rear - passenger side corner (38), Top (22), Other (explain in narrative) (21), Non-collision/no damage (8), Undercarriage (4).

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

Impairment (Alcohol / Drugs)

Impairment was suspected in a subset of crashes, with alcohol being the factor in 22 instances and drugs in 3. These incidents correspond to 19 crashes officially coded as DUI-related, representing 1.9% of all crashes in the county. It is important to note that impairment is often under-reported, so these figures should be considered a minimum.

Crashes by City

Within Cerro Gordo County, Mason City recorded the highest number of incidents with 608 crashes, followed by Clear Lake with 121. Other municipalities such as Ventura and Rockwell reported 12 and 7 crashes respectively. Notably, 221 crashes occurred in unincorporated areas of the county, outside of any city's jurisdiction.

Crashes by City

1
MASON CITY608 (80.3%)
2
CLEAR LAKE121 (16%)
3
VENTURA12 (1.6%)
4
ROCKWELL7 (0.9%)
5
PLYMOUTH3 (0.4%)
6
NORA SPRINGS2 (0.3%)
7
THORNTON2 (0.3%)
8
MESERVEY1 (0.1%)
9
DOUGHERTY1 (0.1%)

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

Paved vs Unpaved Road

The overwhelming majority of crashes, 949 in total, occurred on paved roadways. Crashes on unpaved surfaces like gravel or dirt roads accounted for 25 incidents, representing approximately 2.6% of crashes where the road surface type was specified. This reflects the prevalence of paved infrastructure where most traffic volume is concentrated.

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 cases where a roadway factor was identified as a contributor, poor surface condition (such as wet or icy roads) was the leading issue, cited in 119 crashes. Work zones were a contributing factor in 7 crashes, as was a slippery, loose, or worn road surface. Debris in the roadway and traffic backups each contributed to 3 crashes.

Roadway Contributing Factor

1
Surface condition (e.g.wet, icy)119 (83.2%)
2
Work Zone (roadway-related)7 (4.9%)
3
Slippery, loose or worn surface7 (4.9%)
4
Debris3 (2.1%)
5
Traffic backup, regular congestion3 (2.1%)
6
Shoulders (none, low, soft, high)1 (0.7%)
7
Obstruction in roadway1 (0.7%)
8
Traffic backup, prior non-recurring incident1 (0.7%)
9
Ruts/holes/bumps1 (0.7%)

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

Driver Condition

While most drivers were recorded as 'apparently normal,' several other conditions were noted as potential factors. Driving under the influence of alcohol was the most cited condition with 25 drivers, followed by 16 drivers who were noted as asleep or fatigued. An emotional state, such as being depressed or angry, was recorded for 11 drivers involved in crashes.

Driver Condition

1
Under the influence of alcohol25 (41.7%)
2
Asleep/fatigued16 (26.7%)
3
Emotional (e.g. depressed, angry)11 (18.3%)
4
Medical condition (seizure, reaction)4 (6.7%)
5
Illness/fainted2 (3.3%)
6
Hearing impaired/deaf1 (1.7%)
7
Visually impaired1 (1.7%)

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

Property Damage

The estimated property damage for the majority of crashes fell within the $1,500 to $7,500 range, which applied to 739 incidents. A smaller but significant number of crashes, 193, resulted in damages estimated between $7,500 and $25,000. High-damage crashes, with costs exceeding $25,000, accounted for 19 incidents, or approximately 1.9% 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

Single-vehicle, non-collision events such as running off the road or overturning were the most frequent type of crash, accounting for 247 incidents (25.3%). Rear-end collisions were a close second, with 231 crashes (23.6%). Broadside, or front-to-side, collisions were the third most common manner of collision, occurring in 181 cases (18.5%).

Manner of Collision

"Other" combines 3 smaller categories (44 records): Head-on (front to front) (23), Sideswipe, opposite direction (17), Rear to rear (4).

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 was moving essentially straight, which was the case for 939 of the 1,720 vehicles involved. Turning left was the second most frequent action, recorded for 178 vehicles. Additionally, 118 vehicles were stopped in traffic at the time of the collision.

Pre-Crash Driver Action

1
Movement essentially straight939 (58.4%)
2
Turning left178 (11.1%)
3
Stopped in traffic118 (7.3%)
4
Legally Parked102 (6.3%)
5
Slowing/stopping (deceleration)78 (4.9%)
6
Backing54 (3.4%)
7
Turning right52 (3.2%)
8
Changing lanes24 (1.5%)
9
Other (explain in narrative)14 (0.9%)

Showing top 9 of 19 reported. 10 additional (48 total) not shown: Starting in road, Entering traffic lane (merging), Leaving traffic lane, Negotiating a curve, Overtaking/passing, Leaving a parked position, Entering a parked position, Accelerating in road, Illegally Parked/Unattended, Making U-turn.

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

Pedestrian/Cyclist Action

For the 11 pedestrians and cyclists involved in crashes, the most common action was entering or crossing the roadway, which was recorded in 6 instances. Three individuals were moving along the roadway with the flow of traffic. One was moving along the roadway against traffic.

Pedestrian/Cyclist Action

1
Entering or crossing roadway6 (54.5%)
2
Movement: Along roadway with traffic3 (27.3%)
3
Movement: Along roadway against traffic1 (9.1%)
4
Other1 (9.1%)

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

Person Type

Of the 2,001 individuals involved in crashes, the vast majority were drivers, accounting for 1,927 people or 96.3% of the total. Passengers made up a smaller portion with 63 individuals. Vulnerable road users included 7 bicyclists and 4 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 2,001 people involved in crashes, 7 individuals sustained fatal injuries and 265 sustained non-fatal injuries. The majority of injuries were classified as 'Possible' (173 people) or 'Minor' (78 people), while 14 people suffered serious injuries. In total, 13.6% of all persons involved in crashes were either injured or killed.

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 limited sample where safety equipment use was recorded, 170 individuals were noted as using a shoulder and lap belt. Fifteen individuals were recorded as using no safety equipment. While the data is not comprehensive for all participants, of those with a recorded status, 7.9% were not using any form of restraint.

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 most common type of crash involved two vehicles, accounting for 632 incidents. Single-vehicle crashes were also frequent, with 298 incidents representing 30.5% of the total. While most multi-vehicle crashes involved three vehicles (42 incidents), a few larger pile-ups were recorded, including two crashes involving six vehicles and one involving seven 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: 978
  • Total persons involved: 2,001
  • Total vehicles involved: 1,720

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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