ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · IOWA, IA · APRIL 2022
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/april-2022-report
Monthly Traffic Safety Analysis
3,850 CRASHES IN
IOWA, IA
APRIL 2022
In April 2022, there were 3,850 total crashes statewide, a 3.4% increase from the 3,725 crashes recorded in April 2021. Despite the rise in overall collisions, the number of fatalities decreased by 21.4%, from 28 to 22. Total injuries remained relatively stable, with 1,285 in the current period compared to 1,295 in the prior year.
3,850
▲ 3.4%was 3,725
Total Crash Events
22
▼ -21.4%was 28
Persons Killed
1,285
▼ -0.8%was 1,295
Persons Injured
20
▼ -28.6%was 28
Fatal Crash Events
Note: "Persons Killed" (22) counts individual fatalities across all crash events. "Fatal" in the severity table below (20) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Iowa Crash Data · ArcGIS Open Data · 2022-04-01 to 2022-04-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall crash volume saw a slight increase of 3.4% year-over-year, rising from 3,725 incidents in April 2021 to 3,850 in April 2022. However, the outcomes of these crashes became less severe on average, with total fatalities decreasing by 21.4% from 28 to 22. The total number of injuries saw a marginal decline of 0.8% from 1,295 to 1,285.
Vulnerable Road User Casualties
2
Pedestrians Killed
0
Cyclists Killed
20
Motorists Killed
0
Other Killed
26
Pedestrians Injured
11
Cyclists Injured
1,242
Motorists Injured
6
Other Injured
Source: Iowa Crash Data · ArcGIS Open Data · 2022-04-01 to 2022-04-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes remained broadly consistent year-over-year, with Friday being the peak day in both April 2021 (735 crashes) and April 2022 (791 crashes). The 3 p.m. hour was the peak hour for both periods, though the number of crashes during this hour decreased from 359 to 324. Notably, crash counts on Saturday increased from 464 to 613 in April 2022, while Thursday saw a decrease from 656 to 563 crashes.
Source: Iowa Crash Data · ArcGIS Open Data · 2022-04-01 to 2022-04-30 · Crash date field aggregated by weekday
Source: Iowa Crash Data · ArcGIS Open Data · 2022-04-01 to 2022-04-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity of crashes decreased in April 2022 compared to the previous year. The number of fatal crashes fell from 28 to 20, and their share of all crashes dropped from 0.8% to 0.5%. Similarly, serious injury crashes declined from 109 to 81, representing 2.1% of all incidents compared to 2.9% in the prior period. Consequently, the proportion of crashes resulting in no injury increased from 69.0% to 70.7%.
Severity is per crash event (most severe injury). 20 fatal crash events resulted in 22 persons killed.
Outcome by Severity (Crash Events)
Source: Iowa Crash Data · ArcGIS Open Data · 2022-04-01 to 2022-04-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Iowa Crash Data · ArcGIS Open Data · 2022-04-01 to 2022-04-30 · Most severe injury per crash record
Top Contributing Factors
The leading contributing factors remained consistent year-over-year, with 'Followed too close' and 'Animal' as the top two causes in both periods. The count for crashes where a driver 'Followed too close' increased by 9.0%, from 389 to 424 incidents. Crashes involving an 'Animal' rose by 10.5% from 380 to 420. Incidents of 'Ran Traffic Signal' also saw a notable count-based increase of 11.9%, rising from 151 to 169 crashes.
Officer-Reported Primary Contributing Cause
Source: Iowa Crash Data · ArcGIS Open Data · 2022-04-01 to 2022-04-30 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
The proportion of crashes occurring in adverse conditions increased in April 2022 compared to the prior year. Crashes during 'Rain' more than doubled from 162 to 366, and their share of total incidents rose from 4.3% to 9.5%. This corresponds with a substantial increase in crashes on 'Wet' road surfaces, which grew from 262 to 704 incidents. Consequently, the share of crashes on 'Dry' roads fell from 82.2% in April 2021 to 68.8% in April 2022.
Weather
Source: Iowa Crash Data · ArcGIS Open Data · 2022-04-01 to 2022-04-30 · Weather condition at time of crash
Lighting
Source: Iowa Crash Data · ArcGIS Open Data · 2022-04-01 to 2022-04-30 · Lighting condition field
Road Surface
Source: Iowa Crash Data · ArcGIS Open Data · 2022-04-01 to 2022-04-30 · Road surface condition field
Vehicles & Demographics
The top vehicle makes involved in crashes remained consistent, with Ford and Chevrolet vehicles being the most common in both April 2021 and April 2022. An analysis of persons involved shows a shift in age demographics year-over-year. While the number of individuals in the 16-25 age range decreased slightly, there was an increase in involvement for older age groups. Specifically, the number of persons aged 26-34 involved in crashes grew from 1,327 to 1,403, and the 65+ age group increased from 903 to 994.
Top Vehicle Makes (6,770 vehicles)
Source: Iowa Crash Data · ArcGIS Open Data · 2022-04-01 to 2022-04-30 · Vehicle unit records
1,220 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (6,049 persons with recorded sex)
Source: Iowa Crash Data · ArcGIS Open Data · 2022-04-01 to 2022-04-30 · 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: 2022-04-01 through 2022-04-30
- Report generated: September 9, 2026
Data Coverage
- Reporting period: 2022-04-01 through 2022-04-30 (30 days)
- Geographic scope: iowa, IA
- Total crash records analyzed: 3,850
- Total persons involved: 9,015
- Total vehicles involved: 6,770
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: April 2022." Published September 9, 2026. Reporting period: 2022-04-01 to 2022-04-30. Data source: Iowa Crash Data, ArcGIS Open Data. Available at: https://thatcarhitme.com/crash-data/iowa/statewide/april-2022-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: 2022-04-01 – 2022-04-30
Generated: September 9, 2026 · All rights reserved