ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · IOWA, IA · 2019
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/2019-annual-report
Yearly Traffic Safety Analysis
109 CRASHES IN
IOWA, IA
2019
In 2019, Calhoun County recorded 109 total crashes, a 9.2% decrease from the 120 crashes reported in 2018. During this period, the number of fatalities fell from 3 to 2, while total injuries remained nearly unchanged at 40 compared to 39 in the prior year. The number of crashes resulting in a fatality also decreased from 3 in 2018 to 2 in 2019.
109
▼ -9.2%was 120
Total Crash Events
2
▼ -33.3%was 3
Persons Killed
40
▲ 2.6%was 39
Persons Injured
2
▼ -33.3%was 3
Fatal Crash Events
Note: "Persons Killed" (2) counts individual fatalities across all crash events. "Fatal" in the severity table below (2) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Iowa Crash Data · ArcGIS Open Data · 2019-01-01 to 2019-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall traffic crashes in Calhoun County showed a downward trend from 2018 to 2019, with total incidents decreasing by 9.2% from 120 to 109. Fatalities also saw a decrease, falling from 3 to 2. The number of people injured in crashes remained stable, with 40 injuries in 2019 compared to 39 in the previous year.
Vulnerable Road User Casualties
0
Cyclists Killed
2
Motorists Killed
1
Cyclists Injured
39
Motorists Injured
Source: Iowa Crash Data · ArcGIS Open Data · 2019-01-01 to 2019-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes shifted between 2018 and 2019. The day with the most crashes moved from Monday (27 crashes) in 2018 to Saturday (21 crashes) in 2019. The peak hour for collisions shifted slightly later in the afternoon, from 3 p.m. in the prior year to 5 p.m. in the current year, though both peak hours recorded 10 crashes in their respective years. Notably, November saw a significant drop in crashes, from 24 in 2018 to 15 in 2019.
Source: Iowa Crash Data · ArcGIS Open Data · 2019-01-01 to 2019-12-31 · Crash date field aggregated by weekday
Source: Iowa Crash Data · ArcGIS Open Data · 2019-01-01 to 2019-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity of crashes saw a mixed change year-over-year. The fatal crash rate decreased from 2.5% in 2018 to 1.8% in 2019, with fatal crashes dropping from 3 to 2. The share of crashes resulting in serious injuries also decreased from 2.5% to 1.8%. However, the proportion of crashes involving minor injuries increased from 10.0% of all crashes in 2018 to 13.8% in 2019.
Outcome by Severity (Crash Events)
Source: Iowa Crash Data · ArcGIS Open Data · 2019-01-01 to 2019-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Iowa Crash Data · ArcGIS Open Data · 2019-01-01 to 2019-12-31 · Most severe injury per crash record
Top Contributing Factors
Collisions with animals remained the leading contributing factor in both periods, with the count of such incidents increasing slightly from 33 in 2018 to 35 in 2019. 'Lost Control' also saw a small increase from 8 to 9 crashes, becoming the second-most cited factor in 2019. Conversely, crashes attributed to 'Driving too fast for conditions' decreased from 9 to 7. The number of incidents involving running a stop sign also fell, from 5 in 2018 to 3 in 2019.
Officer-Reported Primary Contributing Cause
Source: Iowa Crash Data · ArcGIS Open Data · 2019-01-01 to 2019-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crashes in 2019 were more likely to occur on dry roads and in clear weather compared to the prior year. The number of crashes on dry surfaces increased from 40 to 52, while incidents on adverse surfaces like ice, snow, or wet roads fell from 50 to 29. Similarly, crashes in clear weather rose from 42 to 51. The proportion of crashes occurring in daylight remained stable at approximately 50% for both years.
Weather
Source: Iowa Crash Data · ArcGIS Open Data · 2019-01-01 to 2019-12-31 · Weather condition at time of crash
Lighting
Source: Iowa Crash Data · ArcGIS Open Data · 2019-01-01 to 2019-12-31 · Lighting condition field
Road Surface
Source: Iowa Crash Data · ArcGIS Open Data · 2019-01-01 to 2019-12-31 · Road surface condition field
Vehicles & Demographics
The top vehicle makes involved in crashes remained consistent, with Chevrolet, Ford, and Dodge leading in both years, though the number of crashes involving these makes decreased in 2019. An analysis of persons involved shows a shift in age demographics. The number of individuals in the 26-34 age group involved in crashes increased from 29 to 36, and the 55-64 group grew from 27 to 34. In contrast, the 65+ age group saw a decrease in involvement from 34 persons in 2018 to 30 in 2019.
Top Vehicle Makes (148 vehicles)
Source: Iowa Crash Data · ArcGIS Open Data · 2019-01-01 to 2019-12-31 · Vehicle unit records
9 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (142 persons with recorded sex)
Source: Iowa Crash Data · ArcGIS Open Data · 2019-01-01 to 2019-12-31 · 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: 2019-01-01 through 2019-12-31
- Report generated: September 10, 2026
Data Coverage
- Reporting period: 2019-01-01 through 2019-12-31 (365 days)
- Geographic scope: iowa, IA
- Total crash records analyzed: 109
- Total persons involved: 224
- Total vehicles involved: 148
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: 2019." Published September 10, 2026. Reporting period: 2019-01-01 to 2019-12-31. Data source: Iowa Crash Data, ArcGIS Open Data. Available at: https://thatcarhitme.com/crash-data/iowa/statewide/2019-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: 2019-01-01 – 2019-12-31
Generated: September 10, 2026 · All rights reserved