Yearly Traffic Safety Analysis

57 CRASHES IN
IOWA, IA
2021

All metrics benchmarked against2020

In 2021, Wayne County recorded 57 total crashes, a decrease of 8.1% from the 62 crashes reported in 2020. Despite the overall drop in collisions, the most significant change was the emergence of traffic fatalities, with two deaths resulting from two separate crashes in 2021 compared to none in the prior year. The total number of people injured also decreased from 33 in 2020 to 25 in 2021.

57

-8.1%was 62

Total Crash Events

2

Persons Killed

25

-24.2%was 33

Persons Injured

2

Fatal Crash Events

Note: "Persons Killed" (2) counts individual fatalities across all crash events. "Fatal" in the severity table below (2) 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

Overall traffic collisions in Wayne County showed a downward trend, decreasing by 8.1% from 62 crashes in 2020 to 57 in 2021. This decline was also reflected in the number of people injured, which fell by 24.2% from 33 to 25. However, this period saw the introduction of two traffic fatalities, where none were recorded in the previous year.

Vulnerable Road User Casualties

1

Pedestrians Killed

Prior: 0%

1

Motorists Killed

Prior: 0%

1

Pedestrians Injured

Prior: 0%

24

Motorists Injured

Prior: 32-25.0%

Source: Iowa Crash Data · ArcGIS Open Data · 2021-01-01 to 2021-12-31 · 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 year-over-year. The peak day for collisions moved from Friday (12 crashes) in 2020 to Wednesday (11 crashes) in 2021. Similarly, the peak hour for crashes shifted slightly earlier from 8 p.m. in 2020 to a four-hour block between 4 p.m. and 7 p.m. in 2021, with each of these hours recording 6 crashes.

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)

Crash Severity Breakdown

Crash severity worsened in 2021, with two fatal crashes accounting for 3.5% of all collisions, compared to zero fatal crashes in 2020. The proportion of serious injury crashes also increased slightly from 4.8% to 7.0% of the total. Conversely, crashes resulting in minor injuries saw their share decrease from 19.4% in 2020 to 12.3% in 2021, while no-injury crashes dropped from 61.3% to 57.9% of all incidents.

Outcome by Severity (Crash Events)

Fatal2fatal crashes3.5%
Serious Injury4serious injury crashes7%
33.3%prior 3
Minor Injury7minor injury crashes12.3%
-41.7%prior 12
Possible Injury11possible injury crashes19.3%
22.2%prior 9
No Injury33no injury crashes57.9%
-13.2%prior 38

Source: Iowa Crash Data · ArcGIS Open Data · 2021-01-01 to 2021-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Iowa Crash Data · ArcGIS Open Data · 2021-01-01 to 2021-12-31 · Most severe injury per crash record

Top Contributing Factors

Collisions involving an animal remained the top contributing factor in both periods, though the count decreased from 19 crashes in 2020 to 13 in 2021. The second most common factor changed significantly: incidents of 'Ran Stop Sign' tripled from 2 to 6, making it the second-ranked factor in 2021. Meanwhile, crashes attributed to 'Operating vehicle in a reckless, erratic, careless, negligent manner' fell from 6 in 2020 to 2 in 2021.

Officer-Reported Primary Contributing Cause

Animal13 (22.8%)-31.6%prior 19
Ran Stop Sign6 (10.5%)
FTYROW: From stop sign4 (7%)
Lost Control4 (7%)-20.0%prior 5
FTYROW: At uncontrolled intersection3 (5.3%)
Made improper turn3 (5.3%)
Ran off road - straight3 (5.3%)
Driver Distraction: Inattentive/lost in thought2 (3.5%)
Operating vehicle in an reckless, erratic, careless, negligent manner2 (3.5%)-66.7%prior 6
Followed too close2 (3.5%)

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 in 2021 were more concentrated in ideal conditions compared to the previous year. The share of collisions occurring in clear weather increased from 67.7% in 2020 to 84.2% in 2021, while the count of crashes in adverse weather like snow or rain fell from 10 to 4. Similarly, the proportion of crashes on dry road surfaces rose from 66.1% to 84.2%. Collisions in daylight conditions also saw their share increase from 45.2% to 59.6% year-over-year.

Weather

Clear48 (84.2%)
14.3%prior 42
Cloudy5 (8.8%)
Rain2 (3.5%)
Blowing Snow1 (1.8%)
Snow1 (1.8%)

Source: Iowa Crash Data · ArcGIS Open Data · 2021-01-01 to 2021-12-31 · Weather condition at time of crash

Lighting

Daylight34 (59.6%)
21.4%prior 28
Dark - roadway not lighted15 (26.3%)
-31.8%prior 22
Dark - roadway lighted5 (8.8%)
Dusk3 (5.3%)

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

Road Surface

Dry48 (84.2%)
17.1%prior 41
Wet4 (7.0%)
-42.9%prior 7
Ice/frost2 (3.5%)
Snow2 (3.5%)
Gravel1 (1.8%)

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

Vehicles & Demographics

The most common vehicle makes involved in crashes remained consistent, with Ford and Chevrolet leading in both years; in 2021, they were tied with 14 vehicles each, whereas Ford led with 16 in 2020. An analysis of persons involved shows a notable shift in age demographics, with the 35-44 age group's involvement decreasing from 22 individuals in 2020 to 12 in 2021. Conversely, the 45-54 age group saw an increase in involvement from 9 to 14 persons.

Top Vehicle Makes (81 vehicles)

1
CHEV14 (17.3%)
16.7%prior 12
2
FORD14 (17.3%)
-12.5%prior 16
3
CHEVROLET5 (6.2%)
0.0%prior 5
4
GMC4 (4.9%)
5
DODGE4 (4.9%)
-20.0%prior 5
6
DODG3 (3.7%)
-50.0%prior 6
7
KIA3 (3.7%)
8
BUIC2 (2.5%)
9
CHRY2 (2.5%)
10
CHRYSLER2 (2.5%)

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

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

Sex Distribution (75 persons with recorded sex)

Male51 (68.0%)
8.5%prior 47
Female24 (32.0%)
-25.0%prior 32

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: iowa, IA
  • Total crash records analyzed: 57
  • Total persons involved: 105
  • Total vehicles involved: 81

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: 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/statewide/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

ThatCarHitMe.com · An Injuria.ai Company