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
566 CRASHES IN
IOWA, IA
2019
In Wapello County, total traffic crashes increased by 3.1%, rising from 549 in 2018 to 566 in 2019. While total injuries decreased, the number of fatalities rose from four to five. The most notable year-over-year shift was a 29.4% increase in crashes involving driving under the influence (DUI), which grew from 17 incidents in 2018 to 22 in 2019.
566
▲ 3.1%was 549
Total Crash Events
5
▲ 25.0%was 4
Persons Killed
204
▼ -6.4%was 218
Persons Injured
5
▲ 25.0%was 4
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 · 2019-01-01 to 2019-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
The overall trend shows a modest rise in crashes, with a 3.1% increase from 549 incidents in 2018 to 566 in 2019. This increase in total collisions was accompanied by a 6.4% decrease in total injuries, which fell from 218 to 204. However, the number of fatalities increased from 4 to 5 year-over-year.
Vulnerable Road User Casualties
0
Pedestrians Killed
0
Cyclists Killed
5
Motorists Killed
0
Other Killed
3
Pedestrians Injured
2
Cyclists Injured
198
Motorists Injured
1
Other 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 daily and hourly patterns of crashes shifted between the two periods. In 2019, the peak day for crashes was Tuesday with 97 incidents, a change from Wednesday (89 crashes) in 2018. The peak hour also shifted earlier in the day, from 5 p.m. in 2018 (46 crashes) to 3 p.m. in 2019 (49 crashes), though afternoon commute times remained the most frequent period for incidents in both years.
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
While the total number of fatal crashes increased from 4 to 5 year-over-year, the data shows a significant decrease in serious injury crashes, which fell from 18 in 2018 to 7 in 2019. This represents a drop in the share of serious injury crashes from 3.3% to 1.2% of the total. Consequently, the proportion of crashes resulting in no injury increased, rising from 66.3% in 2018 to 71.0% 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 were the leading contributing factor in both years, though the count decreased from 98 in 2018 to 88 in 2019. There was a notable count-based increase in crashes attributed to 'Lost Control,' which rose from 40 to 50 incidents. Similarly, crashes involving 'FTYROW: From stop sign' increased from 37 to 43, and those related to 'Driving too fast for conditions' grew from 33 to 40.
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
While most crashes in both years occurred in clear weather and on dry roads, there was a distinct increase in incidents under adverse winter conditions. Crashes on roads with ice or frost doubled, rising from 19 in 2018 to 38 in 2019. Similarly, the number of crashes that occurred during snowy weather increased from 16 to 25 year-over-year.
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, Ford and Chevrolet, remained consistent across both years. The demographic data for persons involved in collisions shows an increase across several age groups. The number of individuals aged 16-20 involved in crashes grew from 141 to 168, and the 65+ age group saw an increase from 110 to 140 persons.
Top Vehicle Makes (939 vehicles)
Source: Iowa Crash Data · ArcGIS Open Data · 2019-01-01 to 2019-12-31 · Vehicle unit records
137 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (858 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: 566
- Total persons involved: 1,282
- Total vehicles involved: 939
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