Yearly Traffic Safety Analysis

10 CRASHES IN
AKRON, IA
2019

All metrics benchmarked against2018

In AKRON, IA, total crashes decreased by 23.08% from 13 in 2018 to 10 in 2019. This period also saw a significant reduction in total injuries, which decreased by 66.67% from 3 in 2018 to 1 in 2019, indicating a positive shift in safety outcomes.

10

-23.1%was 13

Total Crash Events

0

Persons Killed

1

-66.7%was 3

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 · 2019-01-01 to 2019-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash data for AKRON, IA showed a positive trend in 2019 compared to 2018. Total crashes decreased by 23.08%, from 13 crashes in 2018 to 10 crashes in 2019. Total injuries also saw a substantial decline, dropping by 66.67% from 3 injuries in 2018 to 1 injury in 2019.

When Crashes Happen

In 2018, crashes were most frequent on Thursday with 4 incidents, while in 2019, Tuesday recorded the highest number of crashes, also with 4 incidents. The peak hour for crashes shifted from 10 AM (3 crashes) in 2018 to 11 PM (2 crashes) in 2019, indicating a shift towards later evening incidents.

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

Fatalities remained at 0 in both 2018 and 2019. Total injuries decreased from 3 in 2018 to 1 in 2019. In 2018, the severity distribution included 1 serious injury and 2 minor injuries, whereas in 2019, the single injury recorded was classified as a possible injury, indicating a reduction in higher severity injuries.

Outcome by Severity (Crash Events)

Possible Injury1possible injury crashes10%
0.0%prior 1
No Injury9no injury crashes90%
0.0%prior 9

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

The leading contributing factor, 'Ran off road - left', decreased from 5 crashes in 2018 to 3 crashes in 2019. Crashes attributed to 'Animal' incidents increased from 1 in 2018 to 2 in 2019, while 'FTYROW: At uncontrolled intersection' decreased from 2 crashes in 2018 to 1 crash in 2019. The factor 'Followed too close', which accounted for 2 crashes in 2018, was not reported in 2019.

Officer-Reported Primary Contributing Cause

Ran off road - left3 (30%)-40.0%prior 5
Animal2 (20%)
Driver Distraction: Other interior distraction1 (10%)
FTYROW: At uncontrolled intersection1 (10%)
Operator inexperience1 (10%)

Source: Iowa Crash Data · ArcGIS Open Data · 2019-01-01 to 2019-12-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather remained consistent with 8 incidents in both 2018 and 2019, while cloudy weather crashes decreased from 3 to 2. Snow-related crashes, which accounted for 1 incident in 2018, were not reported in 2019. Daylight crashes decreased from 11 in 2018 to 7 in 2019, while crashes in dark-roadway lighted conditions increased from 1 to 2, and dusk conditions appeared with 1 crash in 2019.

Weather

Clear8 (80.0%)
0.0%prior 8
Cloudy2 (20.0%)

Source: Iowa Crash Data · ArcGIS Open Data · 2019-01-01 to 2019-12-31 · Weather condition at time of crash

Lighting

Daylight7 (70.0%)
-36.4%prior 11
Dark - roadway lighted2 (20.0%)
Dusk1 (10.0%)

Source: Iowa Crash Data · ArcGIS Open Data · 2019-01-01 to 2019-12-31 · Lighting condition field

Vehicles & Demographics

Top Vehicle Makes (15 vehicles)

1
CHEV4 (26.7%)
-42.9%prior 7
2
FORD2 (13.3%)
3
NR2 (13.3%)
4
HYUNDAI1 (6.7%)
5
KENWORTH1 (6.7%)
6
KIA1 (6.7%)
7
BUIC1 (6.7%)
8
PONT1 (6.7%)
9
CHEVROLET1 (6.7%)
10
GMC1 (6.7%)

Source: Iowa Crash Data · ArcGIS Open Data · 2019-01-01 to 2019-12-31 · Vehicle unit records

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

Sex Distribution (10 persons with recorded sex)

Female7 (70.0%)
16.7%prior 6
Male3 (30.0%)
-70.0%prior 10

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: AKRON, IA
  • Total crash records analyzed: 10
  • Total persons involved: 19
  • Total vehicles involved: 15

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). "AKRON, 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/akron/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