Yearly Traffic Safety Analysis

3,347 CRASHES IN
IOWA, IA
2015

In 2015, Linn County recorded 3,347 traffic crashes, resulting in 5 fatalities and 1,168 injuries. These incidents involved 6,251 vehicles and 7,447 individuals. The most common type of collision was a rear-end crash, which accounted for nearly one-third of all incidents, with 'followed too close' being the most frequently cited contributing factor.

3,347

Total Crash Events

5

Persons Killed

1,168

Persons Injured

5

Fatal Crash Events

Note: "Persons Killed" (5) counts individual fatalities across all crash events. "Fatal" in the severity table below (5) 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 accounted for all 5 fatalities and the vast majority of injuries, with 1,117 motorists injured. While there were no fatalities among vulnerable road users, 25 pedestrians and 24 cyclists sustained injuries in crashes during this period. Other non-motorists accounted for an additional 2 injuries.

0

Pedestrians Killed

0

Cyclists Killed

5

Motorists Killed

0

Other Killed

25

Pedestrians Injured

24

Cyclists Injured

1,117

Motorists Injured

2

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 frequency peaked on Tuesdays, which saw 570 incidents, with weekdays overall showing significantly more crashes than weekends. The single busiest hour for crashes was the 5 p.m. evening commute hour, which recorded 358 incidents. A secondary peak occurred during the morning commute at 7 a.m. with 199 crashes, reflecting typical commuter traffic patterns.

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, 72.6% (2,430 incidents), resulted in no injuries. Crashes involving injuries accounted for 27.4% of the total, including 52 serious injury crashes, 298 minor injury crashes, and 562 with possible injuries. There were 5 fatal crashes during this period, which resulted in a total of 5 fatalities.

Outcome by Severity (Crash Events)

Fatal5fatal crashes0.1%
Serious Injury52serious injury crashes1.6%
Minor Injury298minor injury crashes8.9%
Possible Injury562possible injury crashes16.8%
No Injury2,430no injury crashes72.6%

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 'followed too close,' accounting for 353 incidents or 10.5% of the total. Collisions involving an animal were the second most common factor with 265 crashes (7.9%), followed by a vehicle running off the road to the left (230 crashes, 6.9%). Failure to yield the right-of-way while making a left turn was also a significant factor, contributing to 227 crashes.

Officer-Reported Primary Contributing Cause

Followed too close353 (10.5%)
Animal265 (7.9%)
Ran off road - left230 (6.9%)
FTYROW: Making left turn227 (6.8%)
FTYROW: From stop sign197 (5.9%)
Other (explain in narrative): Other193 (5.8%)
Ran Traffic Signal177 (5.3%)
Driving too fast for conditions128 (3.8%)
Lost Control128 (3.8%)
Ran Stop Sign98 (2.9%)

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 substantial majority of crashes occurred in favorable conditions. Crashes in daylight accounted for 67.2% of the total (2,251 incidents), while 65.9% (2,205 incidents) happened on dry road surfaces. Similarly, clear weather was reported for 1,842 crashes, whereas rain was a factor in 320 crashes and snow in 92.

Weather

Clear1,842 (59.5%)
Cloudy758 (24.5%)
Rain320 (10.3%)
Snow92 (3.0%)
Freezing rain/drizzle33 (1.1%)
Fog, smoke, smog18 (0.6%)
Blowing Snow18 (0.6%)
Severe Winds6 (0.2%)
Sleet, hail5 (0.2%)
Blowing sand, soil, dirt2 (0.1%)

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

Lighting

Daylight2,251 (72.7%)
Dark - roadway lighted504 (16.3%)
Dark - roadway not lighted181 (5.8%)
Dusk103 (3.3%)
Dawn50 (1.6%)
Dark - unknown roadway lighting8 (0.3%)

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

Road Surface

Dry2,205 (71.3%)
Wet549 (17.7%)
Snow166 (5.4%)
Ice/frost88 (2.8%)
Gravel34 (1.1%)
Slush29 (0.9%)
Sand10 (0.3%)
Mud, dirt6 (0.2%)
Other (explain in narrative)3 (0.1%)
Water (standing or moving)3 (0.1%)

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

Vehicles & Demographics

Among all individuals involved in crashes, the 26-34 age group was the most represented, with 1,261 people. The most common vehicle makes involved in collisions were Chevrolet (1,162 vehicles), Ford (1,008 vehicles), and Toyota (612 vehicles). These figures represent the frequency of involvement in crashes and do not reflect market share.

Top Vehicle Makes (6,251 vehicles)

1
FORD1,008 (16.1%)
2
CHEV733 (11.7%)
3
CHEVROLET429 (6.9%)
4
TOYT387 (6.2%)
5
DODG239 (3.8%)
6
HOND231 (3.7%)
7
TOYOTA225 (3.6%)
8
GMC163 (2.6%)
9
CHRY158 (2.5%)
10
NISS158 (2.5%)

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

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

Sex Distribution (5,849 persons with recorded sex)

Male3,085 (52.7%)
Female2,764 (47.3%)

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

Major Cause

The most frequently cited major cause of crashes was 'followed too close,' which was attributed to 353 incidents. Collisions with an animal were the second-leading cause, noted in 265 crashes. Other primary causes included a vehicle running off the road to the left (230 crashes) and a driver failing to yield the right-of-way while making a left turn (227 crashes).

Major Cause

1
Followed too close353 (12.5%)
2
Animal265 (9.4%)
3
Ran off road - left230 (8.1%)
4
FTYROW: Making left turn227 (8%)
5
FTYROW: From stop sign197 (7%)
6
Other (explain in narrative): Other193 (6.8%)
7
Ran Traffic Signal177 (6.2%)
8
Driving too fast for conditions128 (4.5%)
9
Lost Control128 (4.5%)

Showing top 9 of 49 reported. 40 additional (935 total) not shown: Ran Stop Sign, Ran off road - straight, Driver Distraction: Other interior distraction, Made improper turn, FTYROW: From driveway, Operating vehicle in an reckless, erratic, careless, negligent manner, Driver Distraction: Inattentive/lost in thought, Other (explain in narrative): No improper action, FTYROW: Other (explain in narrative), Improper or erratic lane changing, Driver Distraction: Exterior distraction, FTYROW: From yield sign, Exceeded authorized speed, Swerving/Evasive Action, Driver Distraction: Reaching for object(s)/fallen object(s), Driver Distraction: Adjusting devices (radio, climate), Passing: Other passing (explain in narrative), Improper Backing, Driver Distraction: Passenger, Failed to keep in proper lane, Ran off road - right, Driver Distraction: Manual operation of an electronic communication device, FTYROW: To pedestrian, Other (explain in narrative): Vision obstructed, Crossed centerline (undivided), Equipment failure, Operator inexperience, FTYROW: From parked position, Passing: With insufficient distance/inadequate visibility, Traveling wrong way or on wrong side of road, Driver Distraction: Talking on a hand-held device, FTYROW: At uncontrolled intersection, FTYROW: Making right turn on red signal, Driver Distraction: Other electronic device activity, Aggressive driving/road rage, Passing: Through/around barrier, Other (explain in narrative): Improper operation, Failed to yield to emergency vehicle, Illegally Parked/Unattended, Driver Distraction: Unrestrained animal.

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

First Harmful Event

The initial harmful event in the vast majority of crashes was a collision with another vehicle in traffic, which occurred in 2,389 incidents (71.4%). The second most common event was a collision with an animal, recorded in 260 crashes. Collisions with fixed objects were also frequent, including strikes with utility poles (58), ditches (52), and curbs or medians (36).

First Harmful Event

1
Collision with: Vehicle in traffic2,389 (71.6%)
2
Collision with: Animal260 (7.8%)
3
Collision with: Parked motor vehicle92 (2.8%)
4
Non-collision events: Overturn/rollover66 (2%)
5
Collision with fixed object: Utility pole/light support58 (1.7%)
6
Collision with fixed object: Ditch52 (1.6%)
7
Collision with: Non-motorist (see non-motorist section - NOT a unit)51 (1.5%)
8
Non-collision events: Other non-collision (explain in narrative)38 (1.1%)
9
Collision with fixed object: Curb/island/raised median36 (1.1%)

Showing top 9 of 41 reported. 32 additional (295 total) not shown: Collision with fixed object: Cable barrier, Collision with: Re-entering roadway, Collision with fixed object: Guardrail - face, Collision with fixed object: Tree, Other (explain in narrative), Collision with: Struck/struck by object/cargo/person from other vehicle, Collision with fixed object: Embankment, Miscellaneous events: Hit and run, Collision with fixed object: Traffic sign support, Collision with fixed object: Bridge/bridge rail parapet, Collision with fixed object: Guardrail - end, Collision with fixed object: Culvert/pipe opening, Collision with fixed object: Other post/pole/support (explain in narrative), Collision with fixed object: Ground, Non-collision events: Non-contact vehicle (phantom), Collision with fixed object: Other fixed object (explain in narrative), Collision with fixed object: Fire hydrant, Collision with: Other non-fixed object (explain in narrative), Miscellaneous events: Eluding law enforcement, Collision with fixed object: Fence, Non-collision events: Fell/jumped from vehicle, Collision with fixed object: Concrete traffic barrier (median or right side), Non-collision events: Vehicle went airborne, Non-collision events: Jackknife, Collision with fixed object: Building, Collision with fixed object: Wall, Collision with fixed object: Other traffic barrier (explain in narrative), Collision with fixed object: Bridge pier or support, Collision with fixed object: Snow bank, Collision with fixed object: Traffic signal support, Miscellaneous events: Fire/explosion, 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 almost evenly divided between intersection and non-intersection locations. Intersections were the site of 1,493 crashes, with four-way intersections being the most common type (1,054 incidents). Non-intersection segments of roadway, including mid-block and driveway-related areas, accounted for 1,490 crashes.

Roadway Junction / Feature

1
Non-intersection: Non-junction/no special feature1,254 (40.7%)
2
Intersection: Four-way intersection1,054 (34.2%)
3
Intersection: T-intersection299 (9.7%)
4
Non-intersection: Driveway access (related, not in)111 (3.6%)
5
Intersection: Intersection with ramp54 (1.8%)
6
Non-intersection: Other non-intersection (explain in narrative)54 (1.8%)
7
Intersection: Other intersection (explain in narrative)48 (1.6%)
8
Non-intersection: Driveway access (within)37 (1.2%)
9
Interchange-related: Off-ramp, diverge area27 (0.9%)

Showing top 9 of 23 reported. 14 additional (143 total) not shown: Interchange-related: On-ramp merge area, Interchange-related: Off-ramp, Intersection: Roundabout, Interchange-related: On-ramp, Non-intersection: Crossover-related, Non-intersection: Alley, Non-intersection: Railroad grade crossing, Intersection: Five points or more, Interchange-related: Mainline, between ramps, Intersection: Y-intersection, Interchange-related: Other interchange (explain in narrative), Non-intersection: Bike lanes, Intersection: Shared use path or trail, Intersection: L-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 3,353 of the 6,251 vehicles. Sport utility vehicles were the second most frequent with 1,258 involved, followed by light trucks and pickups at 793. Commercial semi-trailers were involved in 82 incidents, and motorcycles were involved in 79.

Vehicle Type

"Other" combines 22 smaller categories (129 records): Single-unit truck (>= 3 axles) (30), Cargo/panel van (27), Passenger van (seats 9-15) (12), School bus (seats > 15) (12), Other bus (seats > 15) (6), Truck/trailer (6), Other (explain in narrative) (5), Truck tractor (bobtail) (5), Other light truck (<=10000 lbs) (5), Motor home/recreational vehicle (3), Maintenance/construction vehicle (3), Tractor/doubles (2), Farm tractor (2), Small school bus (seats 9-15) (2), Other small bus (seats 9-15) (2), 3-wheeled, unenclosed (1), Golf cart (1), Farm equipment (explain in narrative) (1), Street legal, low-speed vehicle (1), All-terrain vehicle (ATV) (1), Train (1), Moped (1).

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

Traffic Control Device

Among all vehicles involved in crashes, 46.3% (2,895 vehicles) were in areas with no traffic controls present. For vehicles where traffic controls were a factor, traffic signals were the most common, present for 1,937 vehicles (31.0%). Stop signs were the next most frequent control type, noted for 637 vehicles involved in crashes.

Traffic Control Device

"Other" combines 6 smaller categories (47 records): No Passing Zone (marked) (12), Railway crossing device (11), Warning sign (9), Inoperative (not functioning properly) (7), School zone signs (5), Traffic director (person) (3).

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

Most Damaged Area

The most frequent area of vehicle damage was the front, recorded for 1,649 vehicles, which is consistent with the high number of rear-end collisions. The second most common damage location was the rear of the vehicle (866 vehicles). Damage to the driver or passenger side was also common, indicating a significant number of broadside or angle collisions.

Most Damaged Area

"Other" combines 10 smaller categories (994 records): Passenger side - front (218), Driver side - rear (177), Passenger side - rear (169), Rear - driver side corner (161), Rear - passenger side corner (126), Top (57), Other (explain in narrative) (43), Non-collision/no damage (27), Undercarriage (13), Cargo loss (3).

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

Impairment (Alcohol / Drugs)

A total of 141 crashes, or 4.2% of all incidents, were recorded as involving an impaired driver. Alcohol was the primary substance in the majority of these cases, cited in 128 crashes. Drugs were noted as a factor in 11 crashes, while a combination of alcohol and drugs was suspected in 2 incidents.

Crashes by City

Crash distribution across the county was heavily concentrated in its urban centers. Cedar Rapids accounted for the largest share with 2,075 crashes. Marion followed with 468 crashes, and Hiawatha recorded 167 crashes. These three cities represent the top municipalities by crash volume in the county.

Crashes by City

1
CEDAR RAPIDS2,075 (72%)
2
MARION468 (16.2%)
3
HIAWATHA167 (5.8%)
4
MOUNT VERNON63 (2.2%)
5
FAIRFAX19 (0.7%)
6
LISBON16 (0.6%)
7
CENTER POINT15 (0.5%)
8
ROBINS15 (0.5%)
9
CENTRAL CITY14 (0.5%)

Showing top 9 of 17 reported. 8 additional (30 total) not shown: COGGON, PALO, ALBURNETT, SPRINGVILLE, BERTRAM, ELY, PRAIRIEBURG, WALFORD.

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, 3,259 incidents, occurred on paved roadways. A small fraction of crashes, 60 in total or approximately 1.8% of those with a recorded surface type, took place on unpaved gravel or dirt roads. This reflects the predominant use of the paved 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

Roadway-related factors were identified as contributors in a minority of crashes. The most common factor was 'surface condition,' such as wet or icy roads, which was cited in 243 incidents. Work zone conditions were noted as a factor in 39 crashes, and debris in the roadway was a factor in 11 crashes.

Roadway Contributing Factor

1
Surface condition (e.g.wet, icy)243 (71.1%)
2
Work Zone (roadway-related)39 (11.4%)
3
Traffic backup, regular congestion17 (5%)
4
Debris11 (3.2%)
5
Slippery, loose or worn surface10 (2.9%)
6
Traffic backup, prior crash9 (2.6%)
7
Traffic backup, prior non-recurring incident4 (1.2%)
8
Ruts/holes/bumps3 (0.9%)
9
Non-highway work2 (0.6%)

Showing top 9 of 13 reported. 4 additional (4 total) not shown: Obstruction in roadway, Shoulders (none, low, soft, high), Traffic control obscured, Disabled vehicle.

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,' a driver condition was noted in a subset of cases. The most common non-normal condition was 'under the influence of alcohol,' recorded for 152 drivers. Other noted conditions included being asleep or fatigued (34 drivers) and being emotional (33 drivers).

Driver Condition

1
Under the influence of alcohol152 (57.4%)
2
Asleep/fatigued34 (12.8%)
3
Emotional (e.g. depressed, angry)33 (12.5%)
4
Medical condition (seizure, reaction)19 (7.2%)
5
Under the influence of drugs/meds10 (3.8%)
6
Illness/fainted9 (3.4%)
7
Physical impairment4 (1.5%)
8
Walks with a cane/crutches1 (0.4%)
9
Impaired due to previous injury1 (0.4%)

Showing top 9 of 11 reported. 2 additional (2 total) not shown: Paraplegic/wheelchair restricted, Visually impaired.

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 per crash fell into the '$1,500 - $7,500' range, which applied to 2,154 incidents (64.4% of the total). Crashes resulting in severe damage estimated at '$25,000+' were less frequent, accounting for 60 incidents, or 1.8% of all crashes.

Property Damage

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

Manner of Collision

Rear-end collisions were the most frequent crash type, accounting for 1,067 incidents or 31.9% of the total. Single-vehicle crashes, classified as 'non-collision' events like running off the road, were the second most common type with 684 incidents (20.4%). Broadside collisions were also prevalent, occurring in 657 crashes (19.6%).

Manner of Collision

"Other" combines 3 smaller categories (90 records): Sideswipe, opposite direction (54), Rear to side (32), 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 action of vehicles immediately prior to a crash was 'movement essentially straight,' recorded for 3,415 vehicles. The next most frequent pre-crash actions were 'turning left' (698 vehicles) and being 'stopped in traffic' (475 vehicles), often precursors to left-turn and rear-end collisions, respectively.

Pre-Crash Driver Action

1
Movement essentially straight3,415 (58.4%)
2
Turning left698 (11.9%)
3
Stopped in traffic475 (8.1%)
4
Slowing/stopping (deceleration)404 (6.9%)
5
Turning right226 (3.9%)
6
Legally Parked191 (3.3%)
7
Changing lanes113 (1.9%)
8
Other (explain in narrative)78 (1.3%)
9
Backing65 (1.1%)

Showing top 9 of 19 reported. 10 additional (180 total) not shown: Entering traffic lane (merging), Negotiating a curve, Overtaking/passing, Accelerating in road, Making U-turn, Leaving a parked position, Starting in road, Leaving traffic lane, Illegally Parked/Unattended, Entering a parked position.

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

Pedestrian/Cyclist Action

Among incidents involving non-motorists, the most frequently documented action was 'entering or crossing roadway,' which was recorded in 34 cases. Other actions included moving along the roadway with traffic (6 cases) and being on a sidewalk (2 cases). This data highlights crossing locations as a key area of interaction between vehicles and non-motorists.

Pedestrian/Cyclist Action

1
Entering or crossing roadway34 (66.7%)
2
Movement: Along roadway with traffic6 (11.8%)
3
Other6 (11.8%)
4
Movement: On sidewalk2 (3.9%)
5
Movement: Along roadway (direction unknown)1 (2%)
6
Movement: Along roadway against traffic1 (2%)
7
Approaching or leaving vehicle1 (2%)

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

Person Type

Drivers were the predominant type of person involved in crashes, accounting for 7,173 of the 7,447 individuals (96.3%). Passengers made up the next largest group with 223 individuals. The remaining persons involved were vulnerable road users, including 25 pedestrians and 24 bicyclists.

Person Type

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

Person Injury Severity

Of the 7,447 people involved in crashes, 1,173 suffered an injury or fatality. This included 5 fatalities, 62 serious injuries, 361 minor injuries, and 745 possible injuries. The data shows that while a minority of crashes result in injury, a significant number of people are affected when they do occur.

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 the subset of 979 individuals for whom safety equipment use was recorded, 90 people (9.2%) were documented as using no restraints. The majority in this group, 863 individuals, were reported as using a shoulder and lap belt. For crashes involving non-occupants, 11 individuals were noted as wearing a helmet.

Occupant Safety Equipment

"Other" combines 3 smaller categories (3 records): Other (1), Booster seat (1), Child safety seat (type unknown) (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

Two-vehicle crashes were the most common scenario, accounting for 2,312 incidents, or 69.1% of the total. Single-vehicle crashes, such as running off the road or striking a fixed object, made up 22.9% of all incidents (766 crashes). Crashes involving three or more vehicles were less common, representing 8.0% of the total.

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: 3,347
  • Total persons involved: 7,447
  • Total vehicles involved: 6,251

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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