Yearly Traffic Safety Analysis

207 CRASHES IN
IOWA, IA
2021

All metrics benchmarked against2020

In 2021, Cherokee County recorded 207 total crashes, a 21.1% increase from the 171 crashes in 2020. Despite the rise in collisions, the year saw a significant reduction in severe outcomes. Fatalities dropped from four to one, and total injuries decreased from 68 to 49 compared to the previous year.

207

21.1%was 171

Total Crash Events

1

-75.0%was 4

Persons Killed

49

-27.9%was 68

Persons Injured

1

-75.0%was 4

Fatal Crash Events

Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) 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 crash trends in Cherokee County showed a notable increase in 2021. Total collisions rose by 21.1%, from 171 in 2020 to 207 in 2021. However, this increase in crash volume was accompanied by a positive trend in crash severity, as both fatalities (from 4 to 1) and injuries (from 68 to 49) saw a year-over-year decline.

Vulnerable Road User Casualties

1

Motorists Killed

Prior: 4-75.0%

49

Motorists Injured

Prior: 66-25.8%

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 timing of crashes shifted significantly between the two periods. In 2021, Friday was the peak day for crashes with 37 incidents, a change from 2020 when Wednesday saw the most crashes (32). A similar shift occurred in the peak hour of collisions, moving from the morning commute at 7 a.m. in 2020 (17 crashes) to the evening commute at 5 p.m. in 2021 (23 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

While total crashes increased, the severity of those crashes decreased in 2021. The number of fatal crashes fell from four to one, and total fatalities dropped from four to one. The proportion of crashes resulting in any level of injury or death decreased from 33.3% in 2020 to 20.3% in 2021, while no-injury crashes increased from 114 to 165.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.5%
-75.0%prior 4
Serious Injury6serious injury crashes2.9%
100.0%prior 3
Minor Injury22minor injury crashes10.6%
-43.6%prior 39
Possible Injury13possible injury crashes6.3%
18.2%prior 11
No Injury165no injury crashes79.7%
44.7%prior 114

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 with animals remained the leading contributing factor in both years, with the count of such incidents increasing by 48.9% from 47 in 2020 to 70 in 2021. "Followed too close" emerged as a more prominent factor, with its count more than doubling from 7 to 16 crashes. Conversely, "Driving too fast for conditions," a top factor in 2020 with 11 crashes, was not a top-five factor in 2021. Failure to yield from a stop sign also saw a significant increase, rising from 4 crashes in 2020 to 13 in 2021.

Officer-Reported Primary Contributing Cause

Animal70 (33.8%)48.9%prior 47
Followed too close16 (7.7%)128.6%prior 7
FTYROW: From stop sign13 (6.3%)
Ran off road - straight12 (5.8%)33.3%prior 9
Ran off road - left11 (5.3%)22.2%prior 9
Other (explain in narrative): Other9 (4.3%)
Other (explain in narrative): No improper action8 (3.9%)
FTYROW: Making left turn7 (3.4%)40.0%prior 5
FTYROW: At uncontrolled intersection7 (3.4%)
Lost Control7 (3.4%)-30.0%prior 10

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

Road & Environmental Conditions

The increase in total crashes in 2021 occurred primarily under ideal driving conditions. Crashes on dry roads rose from 89 to 108, and those in daylight increased from 88 to 104. In contrast, the number of crashes happening in adverse conditions remained stable year-over-year; incidents in adverse weather were 19 in 2021 versus 20 in 2020, and crashes on adverse road surfaces were 31 in 2021 versus 32 in 2020.

Weather

Clear113 (75.3%)
14.1%prior 99
Cloudy17 (11.3%)
13.3%prior 15
Rain8 (5.3%)
Severe Winds5 (3.3%)
Snow5 (3.3%)
-16.7%prior 6
Freezing rain/drizzle1 (0.7%)
-83.3%prior 6
Other (explain in narrative)1 (0.7%)

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

Lighting

Daylight104 (68.9%)
18.2%prior 88
Dark - roadway not lighted29 (19.2%)
-9.4%prior 32
Dark - roadway lighted11 (7.3%)
22.2%prior 9
Dawn4 (2.6%)
-20.0%prior 5
Dusk3 (2.0%)

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

Road Surface

Dry108 (72.0%)
21.3%prior 89
Wet17 (11.3%)
183.3%prior 6
Gravel11 (7.3%)
0.0%prior 11
Snow10 (6.7%)
0.0%prior 10
Ice/frost3 (2.0%)
-81.3%prior 16
Slush1 (0.7%)

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 (49 vehicles), Chevrolet (44), and GMC (32) leading in 2021, reflecting a general increase in counts from 2020. The age distribution of persons involved in crashes showed a notable shift. The 35-44 age group saw its involvement increase, accounting for 17.7% of persons in 2021 compared to 13.6% in 2020. Conversely, the share for the 26-34 age group decreased from 17.0% in 2020 to 13.8% in 2021.

Top Vehicle Makes (297 vehicles)

1
FORD49 (16.5%)
11.4%prior 44
2
CHEV44 (14.8%)
33.3%prior 33
3
GMC32 (10.8%)
77.8%prior 18
4
CHEVROLET17 (5.7%)
-10.5%prior 19
5
BUIC13 (4.4%)
18.2%prior 11
6
DODGE13 (4.4%)
44.4%prior 9
7
DODG12 (4%)
-36.8%prior 19
8
KIA10 (3.4%)
9
TOYT7 (2.4%)
0.0%prior 7
10
JEEP5 (1.7%)
-70.6%prior 17

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

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

Sex Distribution (240 persons with recorded sex)

Male140 (58.3%)
-4.1%prior 146
Female100 (41.7%)
3.1%prior 97

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: 207
  • Total persons involved: 378
  • Total vehicles involved: 297

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

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Cherokee County, IA Crash Report — 2021 | ThatCarHitMe.com