Monthly Traffic Safety Analysis

3,824 CRASHES IN
IOWA, IA
JUNE 2026

All metrics benchmarked againstJune 2025

In June 2026, Iowa recorded 3,824 vehicle crashes, a 7.6% decrease from the 4,137 crashes reported in June 2025. This overall reduction in collisions was accompanied by a notable 30.8% drop in traffic fatalities, which fell from 26 in the prior year's period to 18 in the current period. The total number of injuries also decreased by 4.1% year-over-year.

3,824

▼ -7.6%was 4,137

Total Crash Events

18

▼ -30.8%was 26

Persons Killed

1,295

▼ -4.1%was 1,351

Persons Injured

18

▼ -28.0%was 25

Fatal Crash Events

Note: "Persons Killed" (18) counts individual fatalities across all crash events. "Fatal" in the severity table below (18) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.

Source: Iowa Crash Data · ArcGIS Open Data · 2026-06-01 to 2026-06-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, traffic collisions in Iowa showed a downward trend in the year-over-year comparison for June. Total crashes decreased by 7.6%, from 4,137 in June 2025 to 3,824 in June 2026. This decline was accompanied by a 4.1% drop in injuries (from 1,351 to 1,295) and a 30.8% drop in fatalities (from 26 to 18).

Vulnerable Road User Casualties

1

Pedestrians Killed

Prior: 3↓-66.7%

0

Cyclists Killed

Prior: 1↓-100.0%

17

Motorists Killed

Prior: 21↓-19.0%

0

Other Killed

Prior: 1↓-100.0%

24

Pedestrians Injured

Prior: 26↓-7.7%

49

Cyclists Injured

Prior: 45↑8.9%

1,209

Motorists Injured

Prior: 1,272↓-5.0%

13

Other Injured

Prior: 8↑62.5%

Source: Iowa Crash Data · ArcGIS Open Data · 2026-06-01 to 2026-06-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns of crashes remained consistent year-over-year. In both June 2026 and June 2025, the peak day for crashes was Monday, with 645 and 713 incidents, respectively. Similarly, the 4 p.m. hour was the peak time for collisions in both periods, accounting for 316 crashes in the current year and 339 in the prior year.

Source: Iowa Crash Data · ArcGIS Open Data · 2026-06-01 to 2026-06-30 · Crash date field aggregated by weekday

Source: Iowa Crash Data · ArcGIS Open Data · 2026-06-01 to 2026-06-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The overall severity of crashes decreased from June 2025 to June 2026, with the fatal crash rate falling from 0.6% to 0.47% of all incidents. While the absolute number of serious injury crashes was identical at 107 in both periods, their proportional share of total crashes increased slightly from 2.6% to 2.8%. Crashes resulting in minor injuries saw a decrease in both count (from 450 to 382) and share of total crashes (from 10.9% to 10.0%).

Outcome by Severity (Crash Events)

Fatal18fatal crashes0.5%
↓-28.0%prior 25
Serious Injury107serious injury crashes2.8%
→0.0%prior 107
Minor Injury382minor injury crashes10%
↓-15.1%prior 450
Possible Injury614possible injury crashes16.1%
↓-1.3%prior 622
No Injury2,703no injury crashes70.7%
↓-7.8%prior 2,933

Source: Iowa Crash Data · ArcGIS Open Data · 2026-06-01 to 2026-06-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Iowa Crash Data · ArcGIS Open Data · 2026-06-01 to 2026-06-30 · Most severe injury per crash record

Top Contributing Factors

The leading contributing factors remained consistent, with 'Animal' and 'Followed too close' ranking as the top two causes in both June 2026 and June 2025. There were notable shifts in the counts of specific factors; crashes attributed to 'Followed too close' decreased by 9.5% from 451 to 408 incidents. Collisions involving 'Ran off road - left' dropped by 24.2% from 227 to 172 incidents. Conversely, crashes where 'Driver Distraction: Other interior distraction' was a factor increased by 19.1% from 157 to 187 incidents.

Officer-Reported Primary Contributing Cause

Animal603 (15.8%)↑0.8%prior 598
Followed too close408 (10.7%)↓-9.5%prior 451
FTYROW: From stop sign215 (5.6%)↓-11.2%prior 242
Other (explain in narrative): Other202 (5.3%)↑3.1%prior 196
Driver Distraction: Other interior distraction187 (4.9%)↑19.1%prior 157
Ran off road - left172 (4.5%)↓-24.2%prior 227
FTYROW: Making left turn169 (4.4%)↑11.2%prior 152
Lost Control159 (4.2%)↓-14.5%prior 186
Ran Traffic Signal124 (3.2%)↓-11.4%prior 140
Made improper turn112 (2.9%)↑2.8%prior 109

Source: Iowa Crash Data · ArcGIS Open Data · 2026-06-01 to 2026-06-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crash conditions remained stable between June 2025 and June 2026. In both periods, approximately two-thirds of all crashes occurred in clear weather (65.9% in 2026 vs. 65.2% in 2025). The vast majority of incidents also happened on dry road surfaces (74.0% vs. 73.6%) and during daylight hours (71.3% vs. 71.8%). There were no significant shifts in the proportions of crashes occurring in adverse weather, lighting, or road surface conditions.

Weather

Clear2,521 (76.8%)
↓-6.5%prior 2,697
Cloudy513 (15.6%)
↓-14.1%prior 597
Rain230 (7.0%)
↓-18.1%prior 281
Fog, smoke, smog7 (0.2%)
↑40.0%prior 5
Severe Winds6 (0.2%)
↓-40.0%prior 10
Other (explain in narrative)2 (0.1%)
Freezing rain/drizzle2 (0.1%)
Blowing Snow1 (0.0%)

Source: Iowa Crash Data · ArcGIS Open Data · 2026-06-01 to 2026-06-30 · Weather condition at time of crash

Lighting

Daylight2,728 (82.8%)
↓-8.1%prior 2,970
Dark - roadway lighted253 (7.7%)
↓-12.8%prior 290
Dark - roadway not lighted206 (6.3%)
↓-15.9%prior 245
Dusk61 (1.9%)
↓-4.7%prior 64
Dawn39 (1.2%)
↓-20.4%prior 49
Dark - unknown roadway lighting7 (0.2%)
↓-69.6%prior 23

Source: Iowa Crash Data · ArcGIS Open Data · 2026-06-01 to 2026-06-30 · Lighting condition field

Road Surface

Dry2,830 (86.0%)
↓-7.1%prior 3,045
Wet381 (11.6%)
↓-17.2%prior 460
Gravel71 (2.2%)
↓-22.8%prior 92
Water (standing or moving)3 (0.1%)
Mud, dirt2 (0.1%)
↓-66.7%prior 6
Other (explain in narrative)1 (0.0%)
Slush1 (0.0%)
Oil1 (0.0%)

Source: Iowa Crash Data · ArcGIS Open Data · 2026-06-01 to 2026-06-30 · Road surface condition field

Vehicles & Demographics

The makes of vehicles involved in crashes saw little change in ranking, with Chevrolet and Ford remaining the top two most common makes in both June 2026 and June 2025, though the counts for both decreased in line with the overall trend. An analysis of persons involved shows that counts decreased across most age groups, with the largest raw decline in the 26-34 age group (from 1,111 to 982 persons). The proportional representation of each age group among all persons involved remained relatively stable year-over-year.

Top Vehicle Makes (6,509 vehicles)

1
FORD938 (14.4%)
↓-13.0%prior 1,078
2
CHEV909 (14%)
↓-5.9%prior 966
3
TOYT342 (5.3%)
↓-1.4%prior 347
4
HOND338 (5.2%)
↑18.2%prior 286
5
JEEP313 (4.8%)
↓-10.1%prior 348
6
NISS269 (4.1%)
↑4.3%prior 258
7
GMC258 (4%)
↑3.6%prior 249
8
CHEVROLET215 (3.3%)
↓-40.4%prior 361
9
DODG208 (3.2%)
↓-12.2%prior 237
10
KIA208 (3.2%)
↑14.9%prior 181

Source: Iowa Crash Data · ArcGIS Open Data · 2026-06-01 to 2026-06-30 · Vehicle unit records

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

Sex Distribution (4,196 persons with recorded sex)

Male2,465 (58.7%)
↓-7.3%prior 2,660
Female1,731 (41.3%)
↓-9.3%prior 1,909

Source: Iowa Crash Data · ArcGIS Open Data · 2026-06-01 to 2026-06-30 · 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: 2026-06-01 through 2026-06-30
  • Report generated: August 4, 2026

Data Coverage

  • Reporting period: 2026-06-01 through 2026-06-30 (30 days)
  • Geographic scope: iowa, IA
  • Total crash records analyzed: 3,824
  • Total persons involved: 6,817
  • Total vehicles involved: 6,509

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: June 2026." Published August 4, 2026. Reporting period: 2026-06-01 to 2026-06-30. Data source: Iowa Crash Data, ArcGIS Open Data. Available at: https://thatcarhitme.com/crash-data/iowa/statewide/june-2026-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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Iowa (Statewide) Crash Report — June 2026 | ThatCarHitMe.com