ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · IOWA, IA · 2025
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/2025-annual-report
Yearly Traffic Safety Analysis
317 CRASHES IN
IOWA, IA
2025
In Poweshiek County, the total number of crashes remained stable, with 317 in 2025 compared to 318 in 2024, a decrease of 0.3%. Despite the steady crash volume, the outcomes worsened significantly. The most notable year-over-year shift was a 50% increase in fatalities, which rose from 4 to 6, and a 14.6% increase in injuries, from 89 to 102.
317
▼ -0.3%was 318
Total Crash Events
6
▲ 50.0%was 4
Persons Killed
102
▲ 14.6%was 89
Persons Injured
5
▲ 25.0%was 4
Fatal Crash Events
Note: "Persons Killed" (6) 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 · 2025-01-01 to 2025-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
While the overall number of traffic crashes in Poweshiek County was nearly unchanged year-over-year, decreasing by a single incident from 318 to 317, the severity of these incidents increased. Total injuries rose by 14.6%, from 89 in the prior period to 102 in the current period. Fatalities saw a more substantial increase, rising 50% from 4 to 6.
Vulnerable Road User Casualties
2
Pedestrians Killed
3
Motorists Killed
1
Other Killed
1
Pedestrians Injured
99
Motorists Injured
2
Other Injured
Source: Iowa Crash Data · ArcGIS Open Data · 2025-01-01 to 2025-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The timing of crashes showed a distinct shift between the two periods. The peak day for collisions moved from Tuesday (62 crashes) in the prior year to a tie between Thursday and Saturday (56 crashes each) in the current year. The peak hour also changed, shifting from the 7 a.m. morning commute hour (25 crashes) in the prior period to the 2 p.m. afternoon hour (23 crashes) in the current period.
Source: Iowa Crash Data · ArcGIS Open Data · 2025-01-01 to 2025-12-31 · Crash date field aggregated by weekday
Source: Iowa Crash Data · ArcGIS Open Data · 2025-01-01 to 2025-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity of crashes intensified in the current period compared to the prior year. The fatal crash rate increased from 1.26% (4 crashes) to 1.58% (5 crashes). While the proportion of crashes resulting in serious injuries declined from 3.5% to 2.8%, the share of minor and possible injury crashes grew. Overall, the percentage of crashes involving any type of injury rose from 21.1% in the prior year to 25.5% in the current year.
Severity is per crash event (most severe injury). 5 fatal crash events resulted in 6 persons killed.
Outcome by Severity (Crash Events)
Source: Iowa Crash Data · ArcGIS Open Data · 2025-01-01 to 2025-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Iowa Crash Data · ArcGIS Open Data · 2025-01-01 to 2025-12-31 · Most severe injury per crash record
Top Contributing Factors
The top contributing factors remained consistent across both periods, led by collisions with an animal, though the count of such incidents decreased from 51 to 44. The second-leading factor, 'Driving too fast for conditions,' also saw a decline in count from 32 to 27 incidents. Conversely, crashes attributed to 'Followed too close' increased notably, rising from 14 to 23 incidents, a 64% increase in count.
Officer-Reported Primary Contributing Cause
Source: Iowa Crash Data · ArcGIS Open Data · 2025-01-01 to 2025-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
While most crashes in both years occurred during daylight with clear weather and on dry roads, there was a marked increase in collisions under adverse road conditions. Year-over-year, crashes on wet surfaces increased from 18 to 33, and incidents on icy or frosty roads doubled from 8 to 16. Additionally, crashes taking place during snowfall rose from 23 to 31.
Weather
Source: Iowa Crash Data · ArcGIS Open Data · 2025-01-01 to 2025-12-31 · Weather condition at time of crash
Lighting
Source: Iowa Crash Data · ArcGIS Open Data · 2025-01-01 to 2025-12-31 · Lighting condition field
Road Surface
Source: Iowa Crash Data · ArcGIS Open Data · 2025-01-01 to 2025-12-31 · Road surface condition field
Vehicles & Demographics
Ford and Chevrolet were the top two vehicle makes involved in crashes in both periods, with counts for both increasing year-over-year. The number of Ford vehicles in crashes grew from 77 to 96, while Chevrolet vehicles (combining 'CHEV' and 'CHEVROLET') rose from 68 to 100. There was also a notable shift in the age of persons involved, with a significant increase in the 65+ age group (from 56 to 85 persons) and the 35-44 age group (from 58 to 76 persons). In contrast, involvement for the 21-25 age group decreased from 66 to 48 persons.
Top Vehicle Makes (493 vehicles)
Source: Iowa Crash Data · ArcGIS Open Data · 2025-01-01 to 2025-12-31 · Vehicle unit records
46 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (330 persons with recorded sex)
Source: Iowa Crash Data · ArcGIS Open Data · 2025-01-01 to 2025-12-31 · 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: 2025-01-01 through 2025-12-31
- Report generated: September 9, 2026
Data Coverage
- Reporting period: 2025-01-01 through 2025-12-31 (365 days)
- Geographic scope: iowa, IA
- Total crash records analyzed: 317
- Total persons involved: 527
- Total vehicles involved: 493
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: 2025." Published September 9, 2026. Reporting period: 2025-01-01 to 2025-12-31. Data source: Iowa Crash Data, ArcGIS Open Data. Available at: https://thatcarhitme.com/crash-data/iowa/statewide/2025-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: 2025-01-01 – 2025-12-31
Generated: September 9, 2026 · All rights reserved