Yearly Traffic Safety Analysis

142 CRASHES IN
IOWA, IA
2022

All metrics benchmarked against2021

In 2022, Fremont County recorded 142 total traffic crashes, a 2.7% decrease from the 146 crashes reported in 2021. While overall crashes, fatalities (4, down from 6), and injuries (55, down from 70) all declined year-over-year, the number of crashes involving a driver under the influence increased from 7 to 10.

142

▼ -2.7%was 146

Total Crash Events

4

▼ -33.3%was 6

Persons Killed

55

▼ -21.4%was 70

Persons Injured

3

▼ -50.0%was 6

Fatal Crash Events

Note: "Persons Killed" (4) counts individual fatalities across all crash events. "Fatal" in the severity table below (3) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.

Source: Iowa Crash Data · ArcGIS Open Data · 2022-01-01 to 2022-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, Fremont County saw a downward trend in traffic collisions and their severity in 2022 compared to the previous year. Total crashes decreased by 2.7% from 146 to 142. This positive trend extended to crash outcomes, with total injuries falling by 21.4% and fatalities decreasing by 33.3%.

Vulnerable Road User Casualties

4

Motorists Killed

Prior: 6↓-33.3%

55

Motorists Injured

Prior: 70↓-21.4%

Source: Iowa Crash Data · ArcGIS Open Data · 2022-01-01 to 2022-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The timing of crashes in Fremont County shifted between 2021 and 2022. The most common day for a crash moved from Thursday (25 incidents) in the prior period to Saturday (26 incidents) in the current period. A more significant change occurred in the peak hour for collisions, which shifted from the 6 p.m. hour in 2021 to the 7 a.m. hour in 2022.

Source: Iowa Crash Data · ArcGIS Open Data · 2022-01-01 to 2022-12-31 · Crash date field aggregated by weekday

Source: Iowa Crash Data · ArcGIS Open Data · 2022-01-01 to 2022-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Crash severity in Fremont County lessened in 2022 compared to the prior year. The proportion of fatal crashes dropped from 4.1% of all incidents (6 crashes) to 2.1% (3 crashes). Similarly, the share of crashes resulting in any level of injury decreased from 36.3% to 26.8%, while no-injury crashes increased their share from 59.6% to 71.1% of all incidents.

Severity is per crash event (most severe injury). 3 fatal crash events resulted in 4 persons killed.

Outcome by Severity (Crash Events)

Fatal3fatal crashes2.1%
↓-50.0%prior 6
Serious Injury7serious injury crashes4.9%
↑16.7%prior 6
Minor Injury17minor injury crashes12%
↓-22.7%prior 22
Possible Injury14possible injury crashes9.9%
↓-44.0%prior 25
No Injury101no injury crashes71.1%
↑16.1%prior 87

Source: Iowa Crash Data · ArcGIS Open Data · 2022-01-01 to 2022-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Iowa Crash Data · ArcGIS Open Data · 2022-01-01 to 2022-12-31 · Most severe injury per crash record

Top Contributing Factors

The leading contributing factors for crashes shifted between 2021 and 2022. Collisions involving an animal increased in count from 29 to 37, becoming the top single cause in 2022. Conversely, crashes attributed to 'Lost Control' saw a significant decrease, falling from 29 incidents to 14. 'Failure to yield from a stop sign' became a more prominent factor, with its count increasing from 4 to 10, making it the third most common cause in the current period.

Officer-Reported Primary Contributing Cause

Animal37 (26.1%)↑27.6%prior 29
Lost Control14 (9.9%)↓-51.7%prior 29
FTYROW: From stop sign10 (7%)
Operating vehicle in an reckless, erratic, careless, negligent manner8 (5.6%)↑33.3%prior 6
Driver Distraction: Inattentive/lost in thought8 (5.6%)
Followed too close8 (5.6%)↑14.3%prior 7
Driving too fast for conditions6 (4.2%)↓-40.0%prior 10
Ran Stop Sign5 (3.5%)→0.0%prior 5
Ran off road - straight4 (2.8%)↓-71.4%prior 14
Ran off road - left4 (2.8%)↓-33.3%prior 6

Source: Iowa Crash Data · ArcGIS Open Data · 2022-01-01 to 2022-12-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

The environmental conditions surrounding crashes remained largely consistent year-over-year, with most incidents in both periods occurring in clear weather on dry roads during daylight. However, there was a notable decrease in crashes happening under adverse conditions. Crashes during rain fell from 8 to 1, and incidents on wet road surfaces decreased from 16 to 7.

Weather

Clear87 (78.4%)
↑4.8%prior 83
Cloudy14 (12.6%)
↓-30.0%prior 20
Snow5 (4.5%)
→0.0%prior 5
Fog, smoke, smog2 (1.8%)
Rain1 (0.9%)
↓-87.5%prior 8
Freezing rain/drizzle1 (0.9%)
Severe Winds1 (0.9%)
↓-80.0%prior 5

Source: Iowa Crash Data · ArcGIS Open Data · 2022-01-01 to 2022-12-31 · Weather condition at time of crash

Lighting

Daylight76 (67.9%)
↓-2.6%prior 78
Dark - roadway not lighted25 (22.3%)
↓-19.4%prior 31
Dark - roadway lighted6 (5.4%)
↓-45.5%prior 11
Dawn2 (1.8%)
Dusk2 (1.8%)
↓-60.0%prior 5
Dark - unknown roadway lighting1 (0.9%)

Source: Iowa Crash Data · ArcGIS Open Data · 2022-01-01 to 2022-12-31 · Lighting condition field

Road Surface

Dry88 (78.6%)
↓-3.3%prior 91
Gravel7 (6.3%)
Wet7 (6.3%)
↓-56.3%prior 16
Ice/frost4 (3.6%)
↓-42.9%prior 7
Snow4 (3.6%)
↓-55.6%prior 9
Mud, dirt1 (0.9%)
Slush1 (0.9%)

Source: Iowa Crash Data · ArcGIS Open Data · 2022-01-01 to 2022-12-31 · Road surface condition field

Vehicles & Demographics

The most common vehicle makes involved in crashes remained consistent, with Ford and Chevrolet vehicles accounting for the top spots in both 2021 and 2022. The number of persons involved in crashes from the 16-20 age group increased from 26 to 41. The most-represented age group shifted from 55-64 in 2021 (60 people) to 35-44 in 2022 (59 people).

Top Vehicle Makes (203 vehicles)

1
FORD26 (12.8%)
↓-3.7%prior 27
2
CHEV20 (9.9%)
↑11.1%prior 18
3
CHEVROLET16 (7.9%)
↓-15.8%prior 19
4
FREIGHTLINER14 (6.9%)
↑180.0%prior 5
5
DODGE13 (6.4%)
↑160.0%prior 5
6
JEEP9 (4.4%)
7
TOYOTA8 (3.9%)
↑14.3%prior 7
8
KIA7 (3.4%)
9
GMC6 (3%)
↓-53.8%prior 13
10
DODG5 (2.5%)

Source: Iowa Crash Data · ArcGIS Open Data · 2022-01-01 to 2022-12-31 · Vehicle unit records

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

Sex Distribution (188 persons with recorded sex)

Male137 (72.9%)
↑21.2%prior 113
Female51 (27.1%)
↑2.0%prior 50

Source: Iowa Crash Data · ArcGIS Open Data · 2022-01-01 to 2022-12-31 · 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: 2022-01-01 through 2022-12-31
  • Report generated: September 9, 2026

Data Coverage

  • Reporting period: 2022-01-01 through 2022-12-31 (365 days)
  • Geographic scope: iowa, IA
  • Total crash records analyzed: 142
  • Total persons involved: 302
  • Total vehicles involved: 203

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: 2022." Published September 9, 2026. Reporting period: 2022-01-01 to 2022-12-31. Data source: Iowa Crash Data, ArcGIS Open Data. Available at: https://thatcarhitme.com/crash-data/iowa/statewide/2022-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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Fremont County, IA Crash Report — 2022 | ThatCarHitMe.com