Yearly Traffic Safety Analysis

5 CRASHES IN
ARMSTRONG, IA
2021

All metrics benchmarked against2020

In 2021, Armstrong experienced 5 crashes, an increase from 3 crashes recorded in 2020, representing a 66.67% rise year-over-year. Despite the increase in total crashes, injuries saw a significant decrease, falling from 2 in 2020 to 0 in 2021. This indicates a 100% reduction in crash-related injuries, making it the most notable shift in safety outcomes.

5

66.7%was 3

Total Crash Events

0

Persons Killed

0

-100.0%was 2

Persons Injured

0

Fatal Crash Events

Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (0) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.

Source: Iowa Crash Data · ArcGIS Open Data · 2021-01-01 to 2021-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates a rise in crash frequency, with total crashes increasing from 3 in 2020 to 5 in 2021, a 66.67% increase. Conversely, total injuries declined by 100%, moving from 2 injuries in 2020 to 0 injuries in 2021. This suggests that while more crashes occurred, their severity in terms of personal injury decreased.

When Crashes Happen

The peak day for crashes remained Wednesday, increasing from 1 crash in 2020 to 2 crashes in 2021. While both periods had multiple hours tied for the highest crash count, the designated peak crash hour shifted from 12 PM in 2020 to 10 PM in 2021. Additionally, the monthly distribution of crashes became more dispersed in 2021, compared to a concentration in January and August during 2020.

Source: Iowa Crash Data · ArcGIS Open Data · 2021-01-01 to 2021-12-31 · Crash date field aggregated by weekday

Source: Iowa Crash Data · ArcGIS Open Data · 2021-01-01 to 2021-12-31 · Crash time field aggregated by hour (0-23)

Top Contributing Factors

The contributing factor 'FTYROW: At uncontrolled intersection' remained consistent, involved in 1 crash in both 2020 and 2021. 'Driver Distraction: Exterior distraction' and 'FTYROW: From stop sign' were each contributing factors in 1 crash in 2020 but were not listed in 2021. In 2021, new factors emerged, including 'Driver Distraction: Other interior distraction,' 'Improper Backing,' 'Operator inexperience,' and 'Other (explain in narrative): Other,' each contributing to 1 crash.

Officer-Reported Primary Contributing Cause

Driver Distraction: Other interior distraction1 (20%)
FTYROW: At uncontrolled intersection1 (20%)
Improper Backing1 (20%)
Operator inexperience1 (20%)
Other (explain in narrative): Other1 (20%)

Source: Iowa Crash Data · ArcGIS Open Data · 2021-01-01 to 2021-12-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in daylight conditions increased from 2 in 2020 to 4 in 2021. Crashes in dark conditions remained at 1 in both years, though the specific type shifted from 'Dark - roadway lighted' in 2020 to 'Dark - roadway not lighted' in 2021.

Lighting

Daylight4 (80.0%)
Dark - roadway not lighted1 (20.0%)

Source: Iowa Crash Data · ArcGIS Open Data · 2021-01-01 to 2021-12-31 · Lighting condition field

Vehicles & Demographics

Top Vehicle Makes (10 vehicles)

1
FORD3 (30%)
2
CHEVROLET2 (20%)
3
GMC2 (20%)
4
KIA1 (10%)
5
MITS1 (10%)
6
TOYO1 (10%)

Source: Iowa Crash Data · ArcGIS Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records

3 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (8 persons with recorded sex)

Male5 (62.5%)
66.7%prior 3
Female3 (37.5%)
0.0%prior 3

Source: Iowa Crash Data · ArcGIS Open Data · 2021-01-01 to 2021-12-31 · 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: 2021-01-01 through 2021-12-31
  • Report generated: September 9, 2026

Data Coverage

  • Reporting period: 2021-01-01 through 2021-12-31 (365 days)
  • Geographic scope: ARMSTRONG, IA
  • Total crash records analyzed: 5
  • Total persons involved: 11
  • Total vehicles involved: 10

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). "ARMSTRONG, IA Crash Intelligence Report: 2021." Published September 9, 2026. Reporting period: 2021-01-01 to 2021-12-31. Data source: Iowa Crash Data, ArcGIS Open Data. Available at: https://thatcarhitme.com/crash-data/iowa/armstrong/2021-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

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