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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
568 CRASHES IN
IOWA, IA
2015
In 2015, Jasper County, Iowa, recorded 568 traffic crashes, resulting in 5 fatalities and 204 injuries. A notable finding from the data is that collisions with animals were the single most common contributing factor, accounting for 109 incidents or 19.2% of all crashes.
568
Total Crash Events
5
Persons Killed
204
Persons Injured
4
Fatal Crash Events
Note: "Persons Killed" (5) counts individual fatalities across all crash events. "Fatal" in the severity table below (4) 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 individuals killed or seriously injured (KSI), motorists comprised the vast majority. The data reports 5 motorists were killed and 201 were injured. In comparison, no pedestrians or cyclists were killed, though 3 pedestrians sustained injuries. No cyclist injuries were recorded in this period.
0
Pedestrians Killed
5
Motorists Killed
3
Pedestrians Injured
201
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 analysis reveals distinct temporal patterns, with Tuesday being the most frequent day for incidents, accounting for 98 of the 568 total crashes. The peak hour for crashes was 6 p.m., with 48 incidents, aligning with evening commute times. While a majority of crashes (289) occurred during daylight, a significant number, 153 crashes, happened in dark conditions, either on lighted or unlighted 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
The majority of crashes in this period did not result in injury, with 412 incidents (72.5%) classified as 'No Injury'. The remaining crashes involved possible, minor, or serious injuries, totaling 152 incidents. Four crashes were classified as fatal, which resulted in a total of five fatalities, highlighting that a single crash event can lead to multiple deaths.
Severity is per crash event (most severe injury). 4 fatal crash events resulted in 5 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 leading contributing factor cited in crashes was an animal, involved in 109 incidents (19.2%). Following this, common factors included running off the road, which accounted for a combined 101 crashes between straight and left departures, and loss of control, cited in 54 crashes (9.5%). Driving too fast for conditions was also a significant factor, contributing to 51 crashes (9.0%).
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 favorable conditions, with 51.9% (295 crashes) happening in clear weather and 56.7% (322 crashes) on dry road surfaces. Similarly, 289 crashes (50.9%) took place during daylight hours. Adverse conditions were also present, with snow reported in 46 crashes, rain in 34, and a total of 153 crashes occurring in dark conditions.
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
Among the 1,028 people involved in crashes, the 26-34 age group was the most represented, with 170 individuals. Analysis of the 815 vehicles involved shows Ford was the most frequent make, with 141 vehicles. Chevrolet vehicles were also common, listed as 'CHEV' in 91 instances and 'CHEVROLET' in 63 instances, followed by Dodge with 42 vehicles.
Top Vehicle Makes (815 vehicles)
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
62 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (713 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
The primary major cause of crashes was interaction with an animal, accounting for 109 incidents (19.2%). The next most frequent causes were running off the road straight (60 crashes, 10.6%), losing control (54 crashes, 9.5%), and driving too fast for conditions (51 crashes, 9.0%). These top four factors represent over 48% of all crashes with a determined cause.
Major Cause
Showing top 9 of 47 reported. 38 additional (155 total) not shown: Other (explain in narrative): No improper action, FTYROW: Making left turn, Ran Traffic Signal, Operating vehicle in an reckless, erratic, careless, negligent manner, Driver Distraction: Exterior distraction, Other (explain in narrative): Other, Driver Distraction: Inattentive/lost in thought, Improper or erratic lane changing, Ran off road - right, Improper Backing, FTYROW: From driveway, Driver Distraction: Reaching for object(s)/fallen object(s), FTYROW: From yield sign, FTYROW: Other (explain in narrative), Exceeded authorized speed, FTYROW: At uncontrolled intersection, Made improper turn, Driver Distraction: Passenger, Passing: Other passing (explain in narrative), Swerving/Evasive Action, Failed to yield to emergency vehicle, Crossed centerline (undivided), Other (explain in narrative): Vision obstructed, Traveling wrong way or on wrong side of road, Driver Distraction: Adjusting devices (radio, climate), Failed to keep in proper lane, Equipment failure, Oversized Load/Vehicle, Passing: On wrong side, FTYROW: To pedestrian, Driver Distraction: Other electronic device activity, Aggressive driving/road rage, Driver Distraction: Manual operation of an electronic communication device, Driver Distraction: Talking on a hand-held device, FTYROW: From parked position, Cargo/equipment loss or shift, Illegally Parked/Unattended, Over correcting/over steering.
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 210 crashes. The second most frequent event was a collision with an animal, recorded in 108 incidents. Run-off-road events were also prevalent, with overturns or rollovers (39), and collisions with ditches (41) or cable barriers (37) being significant categories.
First Harmful Event
Showing top 9 of 35 reported. 26 additional (88 total) not shown: Collision with fixed object: Bridge/bridge rail parapet, Collision with: Re-entering roadway, Collision with fixed object: Guardrail - face, Collision with: Parked motor vehicle, Non-collision events: Other non-collision (explain in narrative), Non-collision events: Jackknife, Collision with fixed object: Embankment, Collision with fixed object: Curb/island/raised median, Collision with fixed object: Concrete traffic barrier (median or right side), Non-collision events: Non-contact vehicle (phantom), Collision with: Non-motorist (see non-motorist section - NOT a unit), Collision with fixed object: Other post/pole/support (explain in narrative), Collision with fixed object: Building, Collision with fixed object: Culvert/pipe opening, Collision with fixed object: Tree, Collision with fixed object: Fence, Collision with fixed object: Other traffic barrier (explain in narrative), Non-collision events: Fell/jumped from vehicle, Collision with fixed object: Other fixed object (explain in narrative), Collision with fixed object: Ground, Collision with fixed object: Bridge pier or support, Collision with fixed object: Snow bank, Collision with fixed object: Mailbox, Collision with: Thrown or falling object, Collision with: Struck/struck by object/cargo/person from other vehicle, Miscellaneous events: Hit and run.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Roadway Junction / Feature
The majority of crashes, 323 out of 568 (56.9%), occurred at non-junction locations, indicating they happened on straight or curved road segments rather than at intersections. Four-way intersections were the most common crash site among junction types, accounting for 77 incidents, followed by T-intersections with 23 crashes.
Roadway Junction / Feature
Showing top 9 of 17 reported. 8 additional (11 total) not shown: Intersection: L-intersection, Non-intersection: Crossover-related, Interchange-related: Off-ramp, diverge area, Intersection: Five points or more, Interchange-related: Other interchange (explain in narrative), Non-intersection: Railroad grade crossing, Interchange-related: On-ramp, 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, accounting for 395 of the 815 vehicles. Light trucks and SUVs were also frequently involved, with 131 pickups and 120 sport utility vehicles recorded. Notably, 58 tractor/semi-trailers and 15 motorcycles were also involved in crashes during this period.
Vehicle Type
"Other" combines 8 smaller categories (29 records): Single-unit truck (>= 3 axles) (9), Cargo/panel van (5), Motor home/recreational vehicle (4), Tractor/doubles (4), Truck/trailer (3), Other light truck (<=10000 lbs) (2), All-terrain vehicle (ATV) (1), Snowmobile (1).
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Traffic Control Device
A substantial majority of crashes, 537 incidents, occurred where no traffic controls were present. For crashes at locations with controls, stop signs were the most common type, present in 87 incidents. Traffic signals were a factor in 38 crashes.
Traffic Control Device
"Other" combines 3 smaller categories (8 records): No Passing Zone (marked) (4), Flashing traffic control signal (3), Railway crossing device (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 frequent area of initial impact, recorded as the most damaged area in 176 vehicles. Front-corner impacts were also common, with 68 on the driver's side and 64 on the passenger's side. Rear impacts, indicative of rear-end collisions, were noted as the most damaged area on 50 vehicles, while side impacts were recorded on 94 vehicles (54 driver side, 40 passenger side).
Most Damaged Area
"Other" combines 10 smaller categories (191 records): Passenger side - front (39), Top (33), Rear - driver side corner (30), Passenger side - rear (22), Driver side - rear (22), Other (explain in narrative) (17), Rear - passenger side corner (15), Non-collision/no damage (6), Undercarriage (6), 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 suspected in 17 crashes, representing 3.0% of the total. Of these, alcohol was the sole factor in 16 incidents, while a combination of alcohol and drugs was suspected in one case. These figures represent a minimum count, as impairment is often difficult to determine at the scene.
Crashes by City
Within Jasper County, the city of Newton recorded the highest number of crashes, with 173 incidents. Other municipalities with notable crash volumes include Prairie City with 29 crashes and Colfax with 27 crashes. A significant portion of crashes occurred in unincorporated areas of the county and are not attributed to a specific city.
Crashes by City
Showing top 9 of 14 reported. 5 additional (9 total) not shown: REASNOR, MITCHELLVILLE, MINGO, FORT MADISON, LAMBS GROVE.
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, 525 out of 568, occurred on paved roadways. However, a notable 43 crashes, representing 7.6% of the total, took place on unpaved surfaces such as gravel or dirt roads, reflecting the county's rural 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
Among crashes where a roadway factor was identified as a contributor, adverse surface conditions such as wet or icy roads were the most common, cited in 73 incidents. Work zones were a contributing factor in 13 crashes, and debris on the roadway was noted in 9 crashes. For most crashes, no specific roadway factor was identified.
Roadway Contributing Factor
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 'apparently normal,' the most common factor was being asleep or fatigued, recorded for 23 drivers. The second most frequent condition was being under the influence of alcohol, noted for 20 drivers. Other recorded conditions included medical issues (9 drivers) and emotional distress (7 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 estimated property damage cost was in the '$1,500 - $7,500' range, which applied to 399 crashes, or 70.2% of the total. A smaller number of incidents resulted in higher costs, with 136 crashes causing damage between $7,500 and $25,000, and 15 crashes (2.6%) exceeding $25,000 in estimated 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 events were the dominant manner of crash, accounting for 307 incidents or 54% of the total. Among multi-vehicle crashes, rear-end collisions were the most frequent type with 69 incidents (12.1%), followed closely by broadside (front-to-side) collisions with 64 incidents (11.3%).
Manner of Collision
"Other" combines 3 smaller categories (20 records): Head-on (front to front) (10), Sideswipe, opposite direction (9), Rear to rear (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 the 815 vehicles involved was moving straight, which was the case for 525 vehicles (64.4%). Turning left was the action for 45 vehicles, and turning right for 27 vehicles. These actions represent the state of vehicles immediately prior to the crash sequence.
Pre-Crash Driver Action
Showing top 9 of 18 reported. 9 additional (42 total) not shown: Negotiating a curve, Entering traffic lane (merging), Overtaking/passing, Making U-turn, Illegally Parked/Unattended, Leaving traffic lane, Accelerating in road, Starting in road, Leaving a parked position.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Person Type
Drivers constituted the vast majority of individuals involved in crashes, with 960 of the 1,028 total persons being vehicle operators (93.4%). Passengers accounted for 65 individuals (6.3%), and pedestrians made up a small fraction with 3 individuals (0.3%).
Person Type
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash-level records
Person Injury Severity
Out of 1,028 people involved in crashes, 209 sustained some level of harm. This includes 5 fatalities (0.5% of all persons) and 204 individuals with injuries ranging from possible to serious (19.8% of all persons). The remaining 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 160 individuals for whom safety equipment use was recorded, 129 were noted as using a shoulder and lap belt. However, 21 individuals, or 13.1% of this group, were recorded as using no safety restraints at the time of the crash.
Occupant Safety Equipment
"Other" combines 1 smaller categories (1 records): Helmet (other) (1).
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 of incident, accounting for 331 of the 568 total crashes (58.3%). Two-vehicle collisions were also frequent, with 229 incidents (40.3%). Crashes involving three or more vehicles were rare, with only 8 such events 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: 568
- Total persons involved: 1,028
- Total vehicles involved: 815
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