ThatCarHitMe.com
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CRASH INTELLIGENCE REPORT · IOWA, IA · 2015
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/iowa/statewide/2015-annual-report
Yearly Traffic Safety Analysis
314 CRASHES IN
IOWA, IA
2015
In 2015, Jones County recorded 314 total traffic crashes, resulting in 4 fatalities and 75 injuries. A key finding from the data is the significant role of animals in collisions, which were cited as the primary contributing factor in 143 incidents, representing 45.5% of all crashes.
314
Total Crash Events
4
Persons Killed
75
Persons Injured
2
Fatal Crash Events
Note: "Persons Killed" (4) 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
Motorists comprised the entirety of fatalities, with 4 killed, and the vast majority of those injured, with 71 individuals. There were no fatalities among vulnerable road users, though 3 pedestrians and 1 cyclist sustained injuries during this period.
0
Pedestrians Killed
0
Cyclists Killed
4
Motorists Killed
3
Pedestrians Injured
1
Cyclists Injured
71
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 Jones County occurred most frequently on Mondays and Fridays, with 54 incidents reported on each of those days. The single most common time for a crash was 8 p.m., which saw 27 incidents, part of a broader evening peak between 5 p.m. and 8 p.m. While more crashes occurred during daylight hours (107), a substantial number also happened in darkness (77).
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, 252 out of 314 (80.3%), resulted in property damage only with no reported injuries. The remaining 19.7% of crashes involved some level of injury or a fatality. There were 2 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). 2 fatal crash events resulted in 4 persons killed.
Outcome by Severity (Crash Events)
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 dominant contributing factor cited in crashes was an animal, involved in 143 incidents, which accounts for 45.5% of all crashes. The next most common factor was a driver losing control, noted in 29 crashes (9.2%). Other notable factors included driving too fast for conditions (14 crashes) and failure to yield the right-of-way (30 crashes across several categories).
Officer-Reported Primary Contributing Cause
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 what appeared to be clear conditions, with 132 incidents on dry roads, 102 in clear weather, and 107 during daylight hours. However, adverse conditions were also a factor, with 22 crashes happening in snow and 21 on wet road surfaces. Crashes in darkness were also significant, with 77 incidents occurring after dusk.
Weather
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Weather condition at time of crash
Lighting
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Lighting condition field
Road Surface
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Road surface condition field
Vehicles & Demographics
The 55-64 age group was the most frequently involved demographic in crashes, with 88 individuals, followed by the 26-34 age group with 72 individuals. The most common vehicle makes involved were Ford (81 vehicles) and Chevrolet (91 vehicles, combining 'CHEVROLET' and 'CHEV' entries). Dodge (30 vehicles) and Toyota (29 vehicles) were also frequently recorded.
Top Vehicle Makes (422 vehicles)
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
23 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (387 persons with recorded sex)
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Person-level records linked to crash events
Major Cause
Collisions with animals were the leading major cause of crashes, accounting for 143 incidents or 45.5% of the total. Following this, losing control was cited in 29 crashes (9.2%), driving too fast for conditions in 14 crashes (4.5%), and failure to yield while making a left turn in 12 crashes (3.8%).
Major Cause
Showing top 9 of 28 reported. 19 additional (49 total) not shown: Driver Distraction: Other interior distraction, Ran off road - left, Other (explain in narrative): No improper action, Operating vehicle in an reckless, erratic, careless, negligent manner, Driver Distraction: Inattentive/lost in thought, FTYROW: From yield sign, FTYROW: From driveway, FTYROW: Other (explain in narrative), Driver Distraction: Exterior distraction, Crossed centerline (undivided), Passing: With insufficient distance/inadequate visibility, Driver Distraction: Manual operation of an electronic communication device, Swerving/Evasive Action, Traveling wrong way or on wrong side of road, Other (explain in narrative): Improper operation, Made improper turn, FTYROW: At uncontrolled intersection, Failed to keep in proper lane, FTYROW: From parked position.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
First Harmful Event
The most frequent first harmful event was a collision with an animal, recorded in 143 incidents. The second most common event was a collision with another vehicle in traffic, which occurred 83 times. Non-collision events, primarily overturns or rollovers, were the first harmful event in 24 crashes.
First Harmful Event
Showing top 9 of 25 reported. 16 additional (23 total) not shown: Collision with: Non-motorist (see non-motorist section - NOT a unit), Non-collision events: Other non-collision (explain in narrative), Collision with: Other non-fixed object (explain in narrative), Collision with fixed object: Tree, Non-collision events: Jackknife, Collision with fixed object: Curb/island/raised median, Collision with: Struck/struck by object/cargo/person from other vehicle, Collision with fixed object: Landscape/shrubbery, Collision with fixed object: Other post/pole/support (explain in narrative), Collision with fixed object: Traffic sign support, Collision with fixed object: Embankment, Collision with fixed object: Ground, Miscellaneous events: Hit and run, Miscellaneous events: Vehicle out of gear/rolled, Non-collision events: Fell/jumped from vehicle, Non-collision events: Vehicle went airborne.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Roadway Junction / Feature
The majority of crashes, 124, occurred on non-intersection road segments. Intersections accounted for a smaller portion of incidents, with 32 crashes at four-way intersections and 16 at T-intersections. This indicates that more crashes happen along stretches of road rather than at junctions.
Roadway Junction / Feature
Showing top 9 of 12 reported. 3 additional (3 total) not shown: Intersection: Five points or more, Interchange-related: Off-ramp, Interchange-related: On-ramp merge 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 prevalent vehicle type involved in crashes, with 194 units recorded. Sport utility vehicles (76 units) and four-tire light trucks or pickups (79 units) were also common. Heavier vehicles were less frequent, with 14 tractor-trailers and 5 motorcycles involved in collisions.
Vehicle Type
"Other" combines 9 smaller categories (13 records): Farm tractor (3), Cargo/panel van (3), Passenger van (seats 9-15) (1), Other light truck (<=10000 lbs) (1), Farm equipment (explain in narrative) (1), Truck/trailer (1), Single-unit truck (>= 3 axles) (1), Other (explain in narrative) (1), Other bus (seats > 15) (1).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Traffic Control Device
The vast majority of crashes, 227 out of 314, occurred on road segments where no traffic controls were present. For crashes at locations with traffic controls, 36 occurred where stop signs were present and 23 were at locations with traffic signals.
Traffic Control Device
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Most Damaged Area
Frontal impacts were the most common, with a combined 144 vehicles sustaining damage to the front or front corners. Damage to the rear of the vehicle, indicative of a rear-end collision, was noted in 23 cases. Side impacts were also significant, with 22 vehicles damaged on the driver's side middle.
Most Damaged Area
"Other" combines 10 smaller categories (63 records): Rear - driver side corner (11), Rear - passenger side corner (9), Driver side - rear (8), Passenger side - middle (8), Passenger side - front (7), Non-collision/no damage (7), Other (explain in narrative) (6), Passenger side - rear (5), Undercarriage (1), Cargo loss (1).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Impairment (Alcohol / Drugs)
Driver impairment was a factor in 10 crashes, representing 3.2% of all incidents. Of these, 9 crashes were attributed to alcohol, while 1 involved a combination of alcohol and drugs.
Crashes by City
Within Jones County, the highest crash volume was in the city of Anamosa, with 90 incidents. Monticello recorded the second-highest number with 68 crashes. A significant portion of the county's crashes occurred outside the limits of any incorporated city.
Crashes by City
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Paved vs Unpaved Road
The vast majority of crashes, 291, occurred on paved roadways. A smaller but notable number of incidents, 19, took place on unpaved surfaces such as gravel or dirt roads, accounting for 6.1% of crashes where this information was recorded.
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 incidents, specific roadway factors were noted as contributing to the crash. The most common was the surface condition, such as wet or icy roads, which was cited in 24 crashes. A slippery or worn surface was a factor in 4 incidents.
Roadway Contributing Factor
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Driver Condition
Among drivers where a condition other than 'apparently normal' was noted, being asleep or fatigued was the most frequent, recorded for 10 drivers. Being under the influence of alcohol was the next most common condition, noted for 8 drivers.
Driver Condition
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 between $1,500 and $7,500, which applied to 232 crashes. More severe damage was less frequent, with 69 crashes estimated to cost between $7,500 and $25,000, and 7 crashes exceeding $25,000 in damage.
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 incidents were the predominant crash type, accounting for 157 crashes, or exactly 50% of the total. Among crashes involving multiple vehicles, rear-end collisions were the most frequent, with 27 incidents (8.6%), followed by broadside collisions at 21 incidents (6.7%).
Manner of Collision
"Other" combines 2 smaller categories (8 records): Sideswipe, opposite direction (6), Rear to side (2).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Pre-Crash Driver Action
Of the 422 vehicles involved in crashes, the majority (257) were moving straight ahead prior to the incident. The next most common action was turning left, which was the pre-crash maneuver for 29 vehicles. Thirteen vehicles were legally parked when struck.
Pre-Crash Driver Action
Showing top 9 of 13 reported. 4 additional (6 total) not shown: Negotiating a curve, Entering traffic lane (merging), Making U-turn, Accelerating in road.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Person Type
Drivers were the most common type of person involved in crashes, accounting for 492 of the 505 individuals recorded (97.4%). Passengers (8 individuals), pedestrians (3), and bicyclists (1) represented a much smaller portion of those involved.
Person Type
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Person Injury Severity
Across all 505 people involved in crashes, there were 4 fatalities. An additional 75 people sustained injuries of varying severity: 16 were seriously injured, 22 received minor injuries, and 37 had possible injuries.
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 61 vehicle occupants for whom safety equipment use was documented, 47 were using a shoulder and lap belt. However, 12 individuals were recorded as using no safety restraints at the time of their crash.
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 frequent type, accounting for 209 of the 314 incidents (66.6%). Crashes involving two vehicles occurred 102 times, while multi-vehicle pileups were rare, with only 3 crashes involving 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: 314
- Total persons involved: 505
- Total vehicles involved: 422
Analytical Methodology
- Severity classification: Uses the KABCO injury scale (K=Fatal, A=Incapacitating injury, B=Non-incapacitating injury, C=Possible injury, O=No injury/property damage only), the standard classification in U.S. Model Minimum Uniform Crash Criteria (MMUCC). Severity is assigned per crash event based on the most severe injury in that crash. A single fatal crash (K) may involve multiple fatalities; therefore the "Persons Killed" count in the headline KPIs may differ from the "Fatal" crash count in the severity breakdown.
- Contributing factors: Reflect the officer-determined primary contributory cause recorded at the time of the crash report. These are preliminary determinations and may not reflect final investigation findings.
- Hit-and-run classification: Based on the hit-and-run indicator field in the official crash report, as determined by the responding officer at the scene.
- Temporal analysis: Day-of-week and hour-of-day distributions are computed from the crash date/time timestamp in each record.
- Demographics: Age and sex distributions are drawn from person-level records linked to each crash event. A single crash may involve multiple persons.
- Vehicle data: Make information is drawn from vehicle unit records linked to each crash event.
- AI commentary: Narrative sections are generated by Google Gemini (large language model) based on the structured data. Commentary is descriptive, not predictive, and should not be interpreted as expert opinion.
Limitations & Disclaimers
- Only crashes reported to and documented by law enforcement are included. Minor incidents, unreported crashes, and near-misses are not captured in this dataset.
- Data reflects conditions at the time of the initial police report and may be subject to subsequent corrections, reclassifications, or supplements by the reporting agency.
- Open data portal records may experience a publication lag - recently occurring crashes may not yet appear in the dataset at the time of report generation.
- AI-generated commentary is produced by a large language model and is intended to highlight patterns in the data. It does not constitute legal, medical, or professional analysis.
- Percentages are calculated from reported data and are subject to rounding.
Non-Affiliation Disclosure
This report is produced independently by ThatCarHitMe.com (Injuria.ai). It is not affiliated with, endorsed by, or produced in partnership with any law enforcement agency, municipal government, state department of transportation, or the National Highway Traffic Safety Administration (NHTSA). Data is sourced from publicly available government open data portals.
Data License
The underlying crash data is provided under the municipality's Open Data Terms of Use and is made available to the public for unrestricted use. This analysis and report is © 2026 Injuria.ai and may be cited with attribution using the suggested citation below.
Corrections & Feedback
If you believe any data in this report is inaccurate or have questions about our methodology, please contact: data@injuria.ai. We are committed to accuracy and will issue corrections promptly.
Suggested Citation
ThatCarHitMe.com (Injuria.ai). "iowa, IA Crash Intelligence Report: 2015." Published September 9, 2026. Reporting period: 2015-01-01 to 2015-12-31. Data source: Iowa Crash Data, ArcGIS Open Data. Available at: https://thatcarhitme.com/crash-data/iowa/statewide/2015-annual-report
About the Publisher
ThatCarHitMe.com is a crash data intelligence platform developed by Injuria.ai, a legal technology company specializing in traffic safety analytics. We aggregate and analyze publicly available government crash data to produce structured intelligence reports for communities, researchers, journalists, and legal professionals. Our reports combine programmatic data retrieval from official open data portals with AI-assisted narrative analysis.
Questions about this report's data or methodology: data@injuria.ai
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Iowa Crash Data · ArcGIS
Period: 2015-01-01 – 2015-12-31
Generated: September 9, 2026 · All rights reserved