Yearly Traffic Safety Analysis

707 CRASHES IN
IOWA, IA
2015

In 2015, Warren County recorded 707 traffic crashes, resulting in 11 fatalities and 227 injuries. These incidents involved 1,390 people and 1,142 vehicles. A notable finding from the data is that collisions with animals were the single most common contributing factor, cited in 148 crashes, representing 20.9% of all incidents.

707

Total Crash Events

11

Persons Killed

227

Persons Injured

9

Fatal Crash Events

Note: "Persons Killed" (11) counts individual fatalities across all crash events. "Fatal" in the severity table below (9) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.

Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Aggregate counts from crash, person, and vehicle records

Vulnerable Road User Casualties

In 2015, all 11 traffic fatalities in Warren County were motorists. In addition to the fatalities, 218 motorists were injured. No cyclists or pedestrians were killed in crashes during this period. However, 5 cyclists and 3 pedestrians sustained injuries in traffic collisions.

0

Pedestrians Killed

0

Cyclists Killed

11

Motorists Killed

0

Other Killed

3

Pedestrians Injured

5

Cyclists Injured

218

Motorists Injured

1

Other Injured

Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

Crash frequencies in Warren County show distinct daily and weekly patterns. The data indicates a peak day for crashes on Friday, which saw 127 incidents over the year. On a daily basis, the most common time for a crash was the 4 p.m. hour, with 61 crashes, aligning with the evening commute. A significant number of crashes, 412 out of 707, 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 majority of crashes in Warren County did not result in physical injury. Of the 707 total crashes, 519 (73.4%) were classified as 'No Injury' or property-damage-only. The remaining incidents involved possible injuries (96 crashes), minor injuries (65 crashes), or serious injuries (18 crashes). There were 9 separate fatal crashes, which resulted in a total of 11 fatalities, indicating at least one incident involved multiple deaths.

Severity is per crash event (most severe injury). 9 fatal crash events resulted in 11 persons killed.

Outcome by Severity (Crash Events)

Fatal9fatal crashes1.3%
Serious Injury18serious injury crashes2.5%
Minor Injury65minor injury crashes9.2%
Possible Injury96possible injury crashes13.6%
No Injury519no injury crashes73.4%

Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Most severe injury per crash record

Top Contributing Factors

The leading contributing factor identified in Warren County crashes was 'Animal,' accounting for 148 incidents (20.9%). Following this, 'Lost Control' was cited in 65 crashes (9.2%). Failure to yield the right-of-way was also a significant factor, with 43 crashes (6.1%) attributed to failing to yield from a stop sign and another 43 crashes (6.1%) related to failing to yield while making a left turn.

Officer-Reported Primary Contributing Cause

Animal148 (20.9%)
Lost Control65 (9.2%)
FTYROW: From stop sign43 (6.1%)
FTYROW: Making left turn43 (6.1%)
Ran off road - left42 (5.9%)
Ran off road - straight40 (5.7%)
Followed too close34 (4.8%)
Other (explain in narrative): Other32 (4.5%)
Driving too fast for conditions22 (3.1%)
Ran Stop Sign17 (2.4%)

Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Most crashes in Warren County during this period occurred under favorable conditions. Specifically, 413 crashes (58.4%) happened in clear weather, and 456 crashes (64.5%) were on dry road surfaces. Similarly, 412 incidents (58.3%) took place in daylight. Adverse conditions were less frequent, with 40 crashes noted during rain, 17 during snow, and a combined 92 crashes occurring on wet, snowy, icy, or slush-covered roads.

Weather

Clear413 (68.7%)
Cloudy114 (19.0%)
Rain40 (6.7%)
Snow17 (2.8%)
Blowing Snow8 (1.3%)
Fog, smoke, smog5 (0.8%)
Freezing rain/drizzle4 (0.7%)

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

Lighting

Daylight412 (68.3%)
Dark - roadway not lighted108 (17.9%)
Dark - roadway lighted44 (7.3%)
Dusk20 (3.3%)
Dawn19 (3.2%)

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

Road Surface

Dry456 (75.5%)
Wet69 (11.4%)
Snow27 (4.5%)
Ice/frost25 (4.1%)
Gravel18 (3.0%)
Slush5 (0.8%)
Mud, dirt3 (0.5%)
Other (explain in narrative)1 (0.2%)

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

Vehicles & Demographics

Analysis of the 1,390 people involved in crashes shows the 45-54 age group was the most represented with 210 individuals, followed closely by the 26-34 age group with 207 individuals. Among the 1,142 vehicles involved, Chevrolet (284 vehicles, combining 'CHEV' and 'CHEVROLET' entries) and Ford (214 vehicles) were the most frequently recorded makes. Dodge vehicles (combining 'DODG' and 'DODGE') were also common, with 79 involved in collisions.

Top Vehicle Makes (1,142 vehicles)

1
FORD214 (18.7%)
2
CHEV182 (15.9%)
3
CHEVROLET102 (8.9%)
4
DODG54 (4.7%)
5
JEEP50 (4.4%)
6
HOND45 (3.9%)
7
TOYT33 (2.9%)
8
GMC30 (2.6%)
9
PONT28 (2.5%)
10
CHRY27 (2.4%)

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

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

Sex Distribution (1,044 persons with recorded sex)

Male574 (55.0%)
Female470 (45.0%)

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

Major Cause

The primary major causes of crashes in Warren County were led by interactions with animals, which was cited in 148 incidents. The second most common cause was a driver losing control of their vehicle, contributing to 65 crashes. Failure to yield was also a prominent factor, with 43 crashes resulting from failing to yield at a stop sign and another 43 from failing to yield while making a left turn.

Major Cause

1
Animal148 (21.8%)
2
Lost Control65 (9.6%)
3
FTYROW: From stop sign43 (6.3%)
4
FTYROW: Making left turn43 (6.3%)
5
Ran off road - left42 (6.2%)
6
Ran off road - straight40 (5.9%)
7
Followed too close34 (5%)
8
Other (explain in narrative): Other32 (4.7%)
9
Driving too fast for conditions22 (3.2%)

Showing top 9 of 48 reported. 39 additional (209 total) not shown: Ran Stop Sign, FTYROW: Other (explain in narrative), Driver Distraction: Other interior distraction, Exceeded authorized speed, FTYROW: From driveway, Operating vehicle in an reckless, erratic, careless, negligent manner, Driver Distraction: Inattentive/lost in thought, Ran Traffic Signal, Improper Backing, Improper or erratic lane changing, Made improper turn, Driver Distraction: Exterior distraction, Swerving/Evasive Action, Other (explain in narrative): No improper action, Other (explain in narrative): Vision obstructed, Driver Distraction: Passenger, Driver Distraction: Reaching for object(s)/fallen object(s), Ran off road - right, Driver Distraction: Adjusting devices (radio, climate), Crossed centerline (undivided), Traveling wrong way or on wrong side of road, Cargo/equipment loss or shift, Aggressive driving/road rage, Equipment failure, FTYROW: From parked position, Passing: Other passing (explain in narrative), Illegally Parked/Unattended, FTYROW: From yield sign, Driver Distraction: Manual operation of an electronic communication device, Passing: On wrong side, FTYROW: At uncontrolled intersection, Failed to keep in proper lane, Other (explain in narrative): Improper operation, Driving less than the posted speed limit, Driver Distraction: Unrestrained animal, FTYROW: To pedestrian, Passing: Through/around barrier, Passing: With insufficient distance/inadequate visibility, Driver Distraction: Talking on a hand-held device.

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 in Warren County crashes was a 'Collision with a Vehicle in traffic,' which occurred in 346 incidents. The second most common event was a 'Collision with an Animal,' recorded in 141 crashes. Collisions with fixed objects were also common, with the most frequent being collisions with a ditch (57 crashes).

First Harmful Event

1
Collision with: Vehicle in traffic346 (49.1%)
2
Collision with: Animal141 (20%)
3
Collision with fixed object: Ditch57 (8.1%)
4
Non-collision events: Overturn/rollover29 (4.1%)
5
Collision with: Parked motor vehicle23 (3.3%)
6
Collision with: Re-entering roadway13 (1.8%)
7
Collision with fixed object: Bridge/bridge rail parapet11 (1.6%)
8
Collision with fixed object: Cable barrier11 (1.6%)
9
Collision with: Non-motorist (see non-motorist section - NOT a unit)9 (1.3%)

Showing top 9 of 35 reported. 26 additional (65 total) not shown: Collision with fixed object: Utility pole/light support, Collision with fixed object: Tree, Collision with fixed object: Guardrail - face, Collision with fixed object: Embankment, Collision with: Struck/struck by object/cargo/person from other vehicle, Other (explain in narrative), Collision with fixed object: Traffic sign support, Collision with fixed object: Concrete traffic barrier (median or right side), Miscellaneous events: Hit and run, Collision with fixed object: Curb/island/raised median, Miscellaneous events: Eluding law enforcement, Collision with: Thrown or falling object, Collision with: Work zone maintenance equipment, Miscellaneous events: Vehicle out of gear/rolled, Non-collision events: Non-contact vehicle (phantom), Non-collision events: Other non-collision (explain in narrative), Collision with fixed object: Building, Collision with fixed object: Mailbox, Collision with fixed object: Other fixed object (explain in narrative), Collision with fixed object: Snow bank, Collision with fixed object: Other post/pole/support (explain in narrative), Collision with fixed object: Ground, Non-collision events: Vehicle went airborne, Collision with: Railway vehicle/train, Collision with fixed object: Culvert/pipe opening, Collision with fixed object: Landscape/shrubbery.

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

Roadway Junction / Feature

The majority of crashes in Warren County occurred at non-intersection locations. Approximately 58% of crashes (410 incidents) happened on straight or curved road segments away from any junction. In contrast, about 25.5% of crashes (180 incidents) occurred within or related to an intersection, with four-way intersections being the most common type, accounting for 119 of these crashes.

Roadway Junction / Feature

1
Non-intersection: Non-junction/no special feature346 (57.1%)
2
Intersection: Four-way intersection119 (19.6%)
3
Intersection: T-intersection37 (6.1%)
4
Non-intersection: Driveway access (related, not in)26 (4.3%)
5
Non-intersection: Other non-intersection (explain in narrative)15 (2.5%)
6
Non-intersection: Driveway access (within)14 (2.3%)
7
Intersection: Other intersection (explain in narrative)12 (2%)
8
Non-intersection: Crossover-related8 (1.3%)
9
Interchange-related: Off-ramp, diverge area6 (1%)

Showing top 9 of 16 reported. 7 additional (23 total) not shown: Interchange-related: Off-ramp, Intersection: Intersection with ramp, Intersection: L-intersection, Interchange-related: On-ramp merge area, Intersection: Y-intersection, Interchange-related: On-ramp, Non-intersection: Railroad grade crossing.

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 537 of the 1,142 vehicles. Light trucks and sport utility vehicles were also frequently involved, with 219 and 214 vehicles respectively. Combined, these three categories represent nearly 85% of all vehicles in collisions. Larger vehicles were less common, with 29 tractor-trailers and 12 motorcycles involved in crashes.

Vehicle Type

"Other" combines 15 smaller categories (33 records): Single-unit truck (>= 3 axles) (8), Cargo/panel van (7), All-terrain vehicle (ATV) (2), Moped (2), School bus (seats > 15) (2), Farm tractor (2), Tractor/doubles (2), Maintenance/construction vehicle (1), Truck/trailer (1), Other (explain in narrative) (1), Other small bus (seats 9-15) (1), Train (1), Passenger van (seats 9-15) (1), Truck tractor (bobtail) (1), Motor home/recreational vehicle (1).

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

Traffic Control Device

A substantial number of crashes occurred where no traffic controls were present, with 696 such incidents reported. For crashes at controlled locations, traffic signals were present in 166 cases and stop signs were a factor in 124 cases. This indicates that the majority of collisions took place on road segments without signals or stop signs.

Traffic Control Device

"Other" combines 1 smaller categories (2 records): Yield signs (2).

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 point of impact, recorded as the most-damaged area in 292 incidents. This suggests a high prevalence of head-on or frontal-offset collisions. The rear of the vehicle was the primary damage area in 148 cases, indicative of rear-end collisions, while side impacts accounted for at least 106 crashes.

Most Damaged Area

"Other" combines 9 smaller categories (220 records): Passenger side - front (45), Driver side - rear (38), Passenger side - rear (28), Rear - driver side corner (28), Top (27), Rear - passenger side corner (26), Other (explain in narrative) (17), Undercarriage (6), Non-collision/no damage (5).

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

Impairment (Alcohol / Drugs)

Driver impairment was a recorded factor in 26 crashes, representing 3.7% of all incidents in Warren County. Among these, alcohol was the sole impairing substance in 22 cases. An additional 3 crashes involved a combination of alcohol and drugs, and 1 crash involved drugs alone.

Crashes by City

Crash data for Warren County shows that incidents were concentrated in its larger municipalities. Indianola had the highest number of crashes with 212, followed by Norwalk with 72 crashes. The portions of Des Moines and Carlisle within the county recorded 53 and 27 crashes, respectively.

Crashes by City

1
INDIANOLA212 (54.4%)
2
NORWALK72 (18.5%)
3
DES MOINES53 (13.6%)
4
CARLISLE27 (6.9%)
5
CUMMING6 (1.5%)
6
LACONA4 (1%)
7
WEST DES MOINES3 (0.8%)
8
HARTFORD3 (0.8%)
9
MARTENSDALE2 (0.5%)

Showing top 9 of 14 reported. 5 additional (8 total) not shown: MILO, BEVINGTON, SAINT MARYS, NEW VIRGINIA, ACKWORTH.

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 occurred on paved roadways, which accounted for 654 incidents. However, a notable 52 crashes, or 7.4% 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

In a minority of crashes, specific roadway factors were noted as contributors. The most common was 'Surface condition (e.g. wet, icy),' cited in 55 crashes. Work zones were also a factor, with 26 crashes occurring in roadway work zones.

Roadway Contributing Factor

1
Surface condition (e.g.wet, icy)55 (64.7%)
2
Work Zone (roadway-related)26 (30.6%)
3
Ruts/holes/bumps2 (2.4%)
4
Slippery, loose or worn surface1 (1.2%)
5
Traffic backup, regular congestion1 (1.2%)

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 recorded, impairment and fatigue were the most common. Twenty-four drivers were noted as being under the influence of alcohol. Additionally, 16 drivers were identified as being asleep or fatigued at the time of the crash.

Driver Condition

1
Under the influence of alcohol24 (43.6%)
2
Asleep/fatigued16 (29.1%)
3
Medical condition (seizure, reaction)7 (12.7%)
4
Emotional (e.g. depressed, angry)4 (7.3%)
5
Under the influence of drugs/meds2 (3.6%)
6
Illness/fainted1 (1.8%)
7
Visually impaired1 (1.8%)

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

Property Damage

The estimated property damage was recorded for all 707 crashes. The most common damage category was '$1,500 - $7,500,' which applied to 495 crashes. A total of 180 crashes resulted in damages between $7,500 and $25,000, while 19 crashes involved high-cost damages exceeding $25,000.

Property Damage

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

Manner of Collision

Single-vehicle, non-collision events were the most common type of crash, accounting for 275 incidents, or 38.9% of the total. These typically include running off the road or rollovers. The second most frequent manner of collision was a rear-end crash, which occurred in 145 cases (20.5%).

Manner of Collision

"Other" combines 3 smaller categories (22 records): Other (explain in narrative) (9), Sideswipe, opposite direction (7), Rear to rear (6).

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

Pre-Crash Driver Action

An analysis of the actions of the 1,142 vehicles prior to collision shows that the majority were engaged in normal driving maneuvers. The most common pre-crash action was 'Movement essentially straight,' recorded for 666 vehicles. The next most frequent actions were 'Turning left' (101 vehicles) and being 'Stopped in traffic' (57 vehicles).

Pre-Crash Driver Action

1
Movement essentially straight666 (63.2%)
2
Turning left101 (9.6%)
3
Stopped in traffic57 (5.4%)
4
Turning right39 (3.7%)
5
Backing36 (3.4%)
6
Slowing/stopping (deceleration)36 (3.4%)
7
Legally Parked35 (3.3%)
8
Other (explain in narrative)18 (1.7%)
9
Negotiating a curve18 (1.7%)

Showing top 9 of 18 reported. 9 additional (48 total) not shown: Changing lanes, Entering traffic lane (merging), Overtaking/passing, Making U-turn, Leaving traffic lane, Leaving a parked position, Illegally Parked/Unattended, Starting in road, Accelerating in road.

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

Person Type

Of the 1,390 people involved in crashes, the vast majority were vehicle drivers. Drivers accounted for 1,317 individuals, or 94.7% of all persons. Passengers made up 4.6% of the total with 64 individuals, while pedestrians, bicyclists, and other non-motorists collectively represented less than 1% 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

Among the 1,390 people involved in traffic crashes, 11 sustained fatal injuries (0.8%) and 227 sustained non-fatal injuries (16.3%). The non-fatal injuries included 22 serious injuries, 81 minor injuries, and 124 possible injuries. The remaining individuals were either uninjured or their injury status was not recorded.

Person Injury Severity

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

Occupant Safety Equipment

Based on a subset of 176 vehicle occupants for whom safety equipment use was documented, 19 individuals (10.8%) were recorded as using no restraints. The majority in this subset, 148 people, were using a shoulder and lap belt. The low number of records prevents a broader conclusion about restraint use across all crash participants.

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

Two-vehicle collisions were the most common crash configuration, accounting for 363 of the 707 total incidents. Single-vehicle crashes were also very frequent, with 312 incidents, representing 44.1% of all crashes. Multi-vehicle pileups involving three or more vehicles were less common, occurring 32 times.

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: 707
  • Total persons involved: 1,390
  • Total vehicles involved: 1,142

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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