ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · IOWA, IA · FEBRUARY 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/february-2019-report
Monthly Traffic Safety Analysis
5,993 CRASHES IN
IOWA, IA
FEBRUARY 2019
In February 2019, Iowa recorded 5,993 vehicle crashes, a 20.6% increase from the 4,968 crashes documented in February 2018. While total fatalities decreased from 25 to 20, the number of people injured rose from 1,356 to 1,518. A notable factor in the overall increase was a significant change in road conditions, with crashes on icy or frosty surfaces rising from 643 to 1,770 year-over-year.
5,993
▲ 20.6%was 4,968
Total Crash Events
20
▼ -20.0%was 25
Persons Killed
1,518
▲ 11.9%was 1,356
Persons Injured
17
▼ -19.0%was 21
Fatal Crash Events
Note: "Persons Killed" (20) counts individual fatalities across all crash events. "Fatal" in the severity table below (17) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Iowa Crash Data · ArcGIS Open Data · 2019-02-01 to 2019-02-28 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Crash trends in February 2019 show a significant increase compared to the same month in the prior year. Total crashes rose by 20.6%, from 4,968 to 5,993. While the number of fatalities decreased from 25 to 20, the number of people injured increased by 11.9% from 1,356 to 1,518.
Vulnerable Road User Casualties
0
Pedestrians Killed
20
Motorists Killed
0
Other Killed
24
Pedestrians Injured
1,492
Motorists Injured
2
Other Injured
Source: Iowa Crash Data · ArcGIS Open Data · 2019-02-01 to 2019-02-28 · 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 February 2018 and February 2019. The day with the most crashes changed from Monday (995 crashes) in 2018 to Wednesday (1,007 crashes) in 2019. The peak hour for collisions also moved from the 12 p.m. hour in the prior year (365 crashes) to the 8 a.m. hour in the current period (490 crashes), reflecting a more pronounced morning commute peak.
Source: Iowa Crash Data · ArcGIS Open Data · 2019-02-01 to 2019-02-28 · Crash date field aggregated by weekday
Source: Iowa Crash Data · ArcGIS Open Data · 2019-02-01 to 2019-02-28 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
While total crashes increased, the overall severity of those crashes decreased in February 2019 compared to the previous year. The fatal crash rate fell from 0.42% to 0.28%, with 17 fatal crashes in 2019 versus 21 in 2018. The proportion of crashes resulting in serious injuries also declined from 1.3% to 0.7%, while the share of crashes with no reported injuries rose from 75.9% to 78.0%.
Severity is per crash event (most severe injury). 17 fatal crash events resulted in 20 persons killed.
Outcome by Severity (Crash Events)
Source: Iowa Crash Data · ArcGIS Open Data · 2019-02-01 to 2019-02-28 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Iowa Crash Data · ArcGIS Open Data · 2019-02-01 to 2019-02-28 · Most severe injury per crash record
Top Contributing Factors
In both February 2018 and 2019, 'Driving too fast for conditions' was the leading contributing factor, with incidents attributed to this cause increasing in count by 37.7% from 869 to 1,197. The count of crashes involving a vehicle running off the road to the left also grew from 459 to 617. Conversely, crashes involving animals decreased from 362 in the prior year to 281 in the current period, dropping from the fourth to the eighth most common factor.
Officer-Reported Primary Contributing Cause
Source: Iowa Crash Data · ArcGIS Open Data · 2019-02-01 to 2019-02-28 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Driving conditions appeared more hazardous in February 2019 compared to the prior year, with crashes on roads with ice or frost surging from 643 to 1,770. This aligns with an increase in crashes during freezing rain (from 141 to 435) and blowing snow (from 139 to 396). Despite the increase in adverse conditions, the majority of crashes in both periods occurred in daylight, accounting for 65.1% of crashes in 2019 versus 64.1% in 2018.
Weather
Source: Iowa Crash Data · ArcGIS Open Data · 2019-02-01 to 2019-02-28 · Weather condition at time of crash
Lighting
Source: Iowa Crash Data · ArcGIS Open Data · 2019-02-01 to 2019-02-28 · Lighting condition field
Road Surface
Source: Iowa Crash Data · ArcGIS Open Data · 2019-02-01 to 2019-02-28 · Road surface condition field
Vehicles & Demographics
The top vehicle makes involved in crashes remained consistent year-over-year, with Ford and Chevrolet vehicles representing the largest shares in both February 2018 and 2019. The number of vehicles from these top makes increased in line with the overall rise in crashes. Similarly, the age distribution of persons involved in collisions showed no significant shifts, with the 26-34 age group comprising the largest share in both periods (16.4% in 2019 vs. 16.1% in 2018).
Top Vehicle Makes (10,575 vehicles)
Source: Iowa Crash Data · ArcGIS Open Data · 2019-02-01 to 2019-02-28 · Vehicle unit records
1,885 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (9,383 persons with recorded sex)
Source: Iowa Crash Data · ArcGIS Open Data · 2019-02-01 to 2019-02-28 · 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: 2019-02-01 through 2019-02-28
- Report generated: September 9, 2026
Data Coverage
- Reporting period: 2019-02-01 through 2019-02-28 (28 days)
- Geographic scope: iowa, IA
- Total crash records analyzed: 5,993
- Total persons involved: 13,233
- Total vehicles involved: 10,575
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: February 2019." Published September 9, 2026. Reporting period: 2019-02-01 to 2019-02-28. Data source: Iowa Crash Data, ArcGIS Open Data. Available at: https://thatcarhitme.com/crash-data/iowa/statewide/february-2019-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: 2019-02-01 – 2019-02-28
Generated: September 9, 2026 · All rights reserved