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
363 CRASHES IN
IOWA, IA
2019
In 2019, Henry County recorded 363 total crashes, an increase of 14.2% from the 318 crashes reported in 2018. The most significant year-over-year change was a doubling in traffic-related fatalities, which rose from 4 in 2018 to 8 in 2019.
363
▲ 14.2%was 318
Total Crash Events
8
▲ 100.0%was 4
Persons Killed
107
▲ 13.8%was 94
Persons Injured
6
▲ 50.0%was 4
Fatal Crash Events
Note: "Persons Killed" (8) counts individual fatalities across all crash events. "Fatal" in the severity table below (6) 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 crash trends in Henry County show an increase year-over-year. Total crashes rose by 14.2%, from 318 in 2018 to 363 in 2019. This upward trend was also reflected in crash outcomes, with total injuries increasing by 13.8% from 94 to 107, and fatalities doubling from 4 to 8.
Vulnerable Road User Casualties
0
Pedestrians Killed
8
Motorists Killed
1
Pedestrians Injured
106
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
Temporal patterns shifted between the two periods. In 2019, the peak day for crashes was Saturday with 67 incidents, a change from Friday (60 incidents) in 2018. The peak hour also moved from 9 p.m. in 2018 (26 crashes) to a tie between 6 a.m. and 6 p.m. in 2019, each with 25 crashes.
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
Crash severity worsened in 2019 compared to the prior year. The number of fatal crashes increased from 4 to 6, and the total number of fatalities doubled from 4 to 8. Crashes resulting in serious injuries also rose, increasing from 8 incidents in 2018 to 13 in 2019, representing a shift in share from 2.5% to 3.6% of all crashes. While the proportion of crashes with no injuries remained stable at 77.7%, the share of possible injury crashes decreased from 10.7% to 8.8%.
Severity is per crash event (most severe injury). 6 fatal crash events resulted in 8 persons killed.
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 involving an animal remained the top contributing factor in both periods, with the count increasing by 28.5% from 123 crashes in 2018 to 158 in 2019. The second most common factor, 'Lost Control,' saw a 70.6% rise in count, from 17 to 29 incidents. Similarly, crashes attributed to 'Ran off road - straight' increased in count from 14 to 23. Conversely, incidents involving 'Followed too close' decreased from 15 to 12.
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
The proportion of crashes occurring in adverse conditions increased in 2019. Crashes on dry road surfaces decreased as a share of the total, from 55.3% in 2018 to 43.5% in 2019. Concurrently, the share of crashes on wet surfaces rose from 6.9% to 9.1%, and on snowy surfaces from 4.4% to 6.1%. Similarly, crashes in clear weather conditions made up a smaller portion of the total (37.7% in 2019 vs. 50.3% in 2018), while the share of crashes in cloudy weather and snow increased.
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 three vehicle makes involved in crashes remained consistent, including Ford, Chevrolet, and Dodge. Analysis of persons involved in crashes reveals significant shifts in age demographics. The number of persons in the 16-20 age group increased by 86.8%, rising from 53 in 2018 to 99 in 2019. Notable increases were also seen in the 26-34 age group (from 88 to 134 persons) and the 55-64 age group (from 72 to 114 persons).
Top Vehicle Makes (484 vehicles)
Source: Iowa Crash Data · ArcGIS Open Data · 2019-01-01 to 2019-12-31 · Vehicle unit records
26 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (463 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 9, 2026
Data Coverage
- Reporting period: 2019-01-01 through 2019-12-31 (365 days)
- Geographic scope: iowa, IA
- Total crash records analyzed: 363
- Total persons involved: 739
- Total vehicles involved: 484
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 9, 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 9, 2026 · All rights reserved