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
279 CRASHES IN
IOWA, IA
2016
In 2016, Floyd County recorded 279 total crashes, a 4.5% increase from the 267 crashes reported in 2015. The most significant year-over-year change was the increase in fatalities, which rose from 1 in 2015 to 6 in 2016. Total injuries also increased by 16.7% from 72 to 84 during the same period.
279
▲ 4.5%was 267
Total Crash Events
6
▲ 500.0%was 1
Persons Killed
84
▲ 16.7%was 72
Persons Injured
5
▲ 400.0%was 1
Fatal Crash Events
Note: "Persons Killed" (6) 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 · 2016-01-01 to 2016-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Crash data for Floyd County indicates an upward trend year-over-year. Total crashes increased by 4.5%, rising from 267 in 2015 to 279 in 2016. This was accompanied by a 16.7% rise in total injuries, from 72 to 84, and a significant increase in fatalities from 1 to 6.
Vulnerable Road User Casualties
1
Pedestrians Killed
1
Cyclists Killed
4
Motorists Killed
1
Pedestrians Injured
2
Cyclists Injured
81
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 temporal patterns of crashes in Floyd County showed some shifts between 2015 and 2016. While Friday remained the peak day for crashes in both years (48 in 2015, 52 in 2016), the peak hour shifted from 5 p.m. in 2015 (26 crashes) to 6 p.m. in 2016 (22 crashes). Thursday also saw a notable increase in crashes, becoming the second-busiest day in 2016 with 49 incidents, up from 30 the previous year.
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 worsened in 2016 compared to the prior year. The number of fatal crashes increased from 1 to 5, raising the fatal crash rate from 0.4% to 1.8% of all incidents. While the count of serious injury crashes decreased slightly from 8 to 7, minor injury crashes saw a notable increase from 17 in 2015 to 25 in 2016. Overall, crashes resulting in no injury accounted for 76% of incidents in 2016, down from 78.3% in 2015.
Severity is per crash event (most severe injury). 5 fatal crash events resulted in 6 persons killed.
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 the leading contributing factor in both periods, with the count increasing by 31% from 74 crashes in 2015 to 97 in 2016. The second most common factor in 2016 was 'Lost Control' with 20 crashes, up from 17 in the prior year. Conversely, crashes attributed to 'Driving too fast for conditions' decreased from 20 incidents in 2015 to 14 in 2016. 'Failure to yield from a stop sign' also saw an increase, rising from 11 to 15 crashes year-over-year.
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
Crashes in 2016 occurred more frequently during daylight hours (53.4% of total) compared to 2015 (50.6%). There was a corresponding decrease in crashes on dark, unlighted roadways from 41 incidents in 2015 to 32 in 2016. The data also shows a reduction in crashes under adverse road surface conditions, with incidents on icy, snowy, or wet roads falling from 77 in 2015 to 60 in 2016.
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 remained the two most common vehicle makes involved in crashes in both 2015 and 2016, with their combined involvement counts remaining relatively stable year-over-year. An analysis of persons involved in crashes shows a shift in age demographics. The number of individuals aged 65 and older involved in crashes increased from 57 to 72, while the 16-20 age group saw a decrease from 61 to 45 persons.
Top Vehicle Makes (400 vehicles)
Source: Iowa Crash Data · ArcGIS Open Data · 2016-01-01 to 2016-12-31 · Vehicle unit records
37 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (317 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: 279
- Total persons involved: 470
- Total vehicles involved: 400
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