ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · IOWA, IA · 2016
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/2016-annual-report
Yearly Traffic Safety Analysis
49 CRASHES IN
IOWA, IA
2016
In Wayne County, total traffic crashes increased by 6.5%, from 46 incidents in 2015 to 49 in 2016. During this period, the number of reported injuries rose from 24 to 28. The most significant year-over-year change was the reduction in traffic fatalities, which dropped from one in the prior year to zero in the current year.
49
▲ 6.5%was 46
Total Crash Events
0
▼ -100.0%was 1
Persons Killed
28
▲ 16.7%was 24
Persons Injured
0
▼ -100.0%was 1
Fatal Crash Events
Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (0) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Iowa Crash Data · ArcGIS Open Data · 2016-01-01 to 2016-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
The overall trend in Wayne County shows a slight increase in traffic incidents year-over-year. Total crashes rose by 6.5% from 46 to 49, and total injuries increased by 16.7% from 24 to 28. In a positive development, there were no fatal crashes recorded in 2016, compared to one in 2015.
Vulnerable Road User Casualties
0
Motorists Killed
28
Motorists Injured
Source: Iowa Crash Data · ArcGIS Open Data · 2016-01-01 to 2016-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The timing of crashes shifted between the two periods. In 2016, the peak day for crashes was Wednesday with 12 incidents, a change from 2015 when Friday was the peak day with 11 incidents. Similarly, the peak hour for crashes moved two hours earlier, from the 6 p.m. hour in 2015 to the 4 p.m. hour in 2016, with each period's peak hour recording 6 crashes.
Source: Iowa Crash Data · ArcGIS Open Data · 2016-01-01 to 2016-12-31 · Crash date field aggregated by weekday
Source: Iowa Crash Data · ArcGIS Open Data · 2016-01-01 to 2016-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Crash severity patterns shifted year-over-year, with fatal crashes being eliminated in 2016, down from one fatal incident in 2015. The proportion of crashes resulting in any type of injury increased from 32.6% to 42.8%. This was driven by a more than twofold increase in minor injury crashes, which rose from 5 to 11, while serious injury crashes decreased from 2 to 1. Consequently, the share of no-injury crashes fell from 65.2% to 57.1%.
Outcome by Severity (Crash Events)
Source: Iowa Crash Data · ArcGIS Open Data · 2016-01-01 to 2016-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Iowa Crash Data · ArcGIS Open Data · 2016-01-01 to 2016-12-31 · Most severe injury per crash record
Top Contributing Factors
Collisions with animals remained a primary contributing factor in both periods, though the count of such incidents decreased from 16 in 2015 to 9 in 2016. A notable change was the rise in crashes attributed to "Driving too fast for conditions," which increased from 1 incident in 2015 to 6 in 2016, becoming the second-most cited factor. Crashes involving "Lost Control" and "Ran off road - straight" also saw an increase in count, rising from 3 to 5 incidents for each factor.
Officer-Reported Primary Contributing Cause
Source: Iowa Crash Data · ArcGIS Open Data · 2016-01-01 to 2016-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
While the number of crashes on dry roads was identical in both periods at 26 incidents, there was a significant increase in crashes on gravel roads, which more than tripled from 3 in 2015 to 10 in 2016. The proportion of crashes occurring in clear weather also grew substantially, from 47.8% of all crashes in 2015 to 73.5% in 2016. Daylight conditions continued to be the most common lighting environment, with its share of crashes rising from 52.2% to 59.2%.
Weather
Source: Iowa Crash Data · ArcGIS Open Data · 2016-01-01 to 2016-12-31 · Weather condition at time of crash
Lighting
Source: Iowa Crash Data · ArcGIS Open Data · 2016-01-01 to 2016-12-31 · Lighting condition field
Road Surface
Source: Iowa Crash Data · ArcGIS Open Data · 2016-01-01 to 2016-12-31 · Road surface condition field
Vehicles & Demographics
Ford and Chevrolet vehicles were the most frequently involved in crashes during both periods, with Chevrolet's involvement increasing from 16 to 19 vehicles and Ford's decreasing from 15 to 14. The age demographics of individuals involved in crashes shifted notably; the 16-20 age group became the largest cohort in 2016 with 23 individuals, up from 16 in 2015. Conversely, the 55-64 age group, which was the largest in 2015 with 18 individuals, saw its count drop to 11 in 2016.
Top Vehicle Makes (66 vehicles)
Source: Iowa Crash Data · ArcGIS Open Data · 2016-01-01 to 2016-12-31 · Vehicle unit records
2 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (50 persons with recorded sex)
Source: Iowa Crash Data · ArcGIS Open Data · 2016-01-01 to 2016-12-31 · Person-level records linked to crash events
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: 2016-01-01 through 2016-12-31
- Report generated: September 9, 2026
Data Coverage
- Reporting period: 2016-01-01 through 2016-12-31 (366 days)
- Geographic scope: iowa, IA
- Total crash records analyzed: 49
- Total persons involved: 84
- Total vehicles involved: 66
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: 2016." Published September 9, 2026. Reporting period: 2016-01-01 to 2016-12-31. Data source: Iowa Crash Data, ArcGIS Open Data. Available at: https://thatcarhitme.com/crash-data/iowa/statewide/2016-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: 2016-01-01 – 2016-12-31
Generated: September 9, 2026 · All rights reserved