Yearly Traffic Safety Analysis

3,909 CRASHES IN
IOWA, IA
2021

All metrics benchmarked against2020

In Scott County, total traffic crashes increased from 3,423 in 2020 to 3,909 in 2021, a 14.2% rise. Despite this increase in overall collisions, the number of fatalities resulting from these crashes decreased by 23.8%, from 21 to 16. The most notable shift was the rise in total crashes, indicating more frequent incidents, even as the most severe outcomes became less common.

3,909

14.2%was 3,423

Total Crash Events

16

-23.8%was 21

Persons Killed

1,139

7.4%was 1,061

Persons Injured

15

-11.8%was 17

Fatal Crash Events

Note: "Persons Killed" (16) counts individual fatalities across all crash events. "Fatal" in the severity table below (15) 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

Crash data for Scott County indicates a rising trend in the total number of collisions year-over-year. Incidents increased by 14.2%, from 3,423 in 2020 to 3,909 in 2021. This was accompanied by a 7.3% increase in total injuries, from 1,061 to 1,139, although total fatalities declined from 21 to 16 over the same period.

Vulnerable Road User Casualties

6

Pedestrians Killed

Prior: 3100.0%

1

Cyclists Killed

Prior: 10.0%

8

Motorists Killed

Prior: 17-52.9%

1

Other Killed

Prior: 0%

32

Pedestrians Injured

Prior: 2339.1%

15

Cyclists Injured

Prior: 22-31.8%

1,088

Motorists Injured

Prior: 1,0127.5%

4

Other Injured

Prior: 40.0%

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 in Scott County remained consistent between 2020 and 2021. Friday was the peak day for crashes in both years, with the count rising from 557 to 667. Similarly, the 3 p.m. hour was the peak time for incidents in both periods, with crash counts increasing from 300 to 347. No significant shifts occurred in the primary timing of collisions.

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 outcomes showed a mixed but generally less severe profile in 2021 compared to 2020. The fatal crash rate decreased from 0.5% to 0.4% of all crashes, with the absolute count of fatal crashes dropping from 17 to 15. The proportion of crashes involving serious injuries saw a slight increase from 1.5% to 1.7%, while the shares of minor and possible injury crashes remained stable at approximately 7.8% and 19.0% respectively.

Severity is per crash event (most severe injury). 15 fatal crash events resulted in 16 persons killed.

Outcome by Severity (Crash Events)

Fatal15fatal crashes0.4%
-11.8%prior 17
Serious Injury66serious injury crashes1.7%
26.9%prior 52
Minor Injury306minor injury crashes7.8%
12.5%prior 272
Possible Injury741possible injury crashes19%
10.9%prior 668
No Injury2,781no injury crashes71.1%
15.2%prior 2,414

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

The leading contributing factors for crashes remained largely the same year-over-year, with "Followed too close" and "Ran off road - left" as the top two causes in both 2020 and 2021. The count of crashes attributed to following too closely was nearly unchanged, rising from 510 to 513. However, crashes attributed to "FTYROW: Making left turn" increased by 20.4% from 186 to 224, and incidents involving a driver who "Lost Control" grew by 45.6% from 90 to 131.

Officer-Reported Primary Contributing Cause

Followed too close513 (13.1%)0.6%prior 510
Ran off road - left427 (10.9%)2.6%prior 416
Other (explain in narrative): Other274 (7%)46.5%prior 187
FTYROW: Making left turn224 (5.7%)20.4%prior 186
Animal187 (4.8%)10.0%prior 170
Ran Traffic Signal181 (4.6%)-1.6%prior 184
FTYROW: From stop sign181 (4.6%)12.4%prior 161
Driving too fast for conditions153 (3.9%)21.4%prior 126
Other (explain in narrative): No improper action142 (3.6%)2.2%prior 139
Made improper turn133 (3.4%)41.5%prior 94

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 distribution of crashes across different conditions showed some shifts between 2020 and 2021. The proportion of crashes occurring in clear weather and on dry roads remained dominant and relatively stable. However, crashes on roads with ice or frost more than doubled in count, from 75 in 2020 to 161 in 2021, increasing their share of total crashes from 2.2% to 4.1%. Correspondingly, the count of crashes during snowy weather also rose from 71 to 121.

Weather

Clear2,708 (72.2%)
15.9%prior 2,337
Cloudy658 (17.5%)
13.6%prior 579
Rain177 (4.7%)
-20.6%prior 223
Snow121 (3.2%)
70.4%prior 71
Freezing rain/drizzle53 (1.4%)
20.5%prior 44
Blowing Snow12 (0.3%)
100.0%prior 6
Fog, smoke, smog10 (0.3%)
Sleet, hail6 (0.2%)
Other (explain in narrative)4 (0.1%)
Severe Winds3 (0.1%)
-72.7%prior 11

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

Lighting

Daylight2,609 (69.4%)
17.8%prior 2,214
Dark - roadway lighted769 (20.5%)
3.5%prior 743
Dark - roadway not lighted222 (5.9%)
6.7%prior 208
Dusk102 (2.7%)
39.7%prior 73
Dawn51 (1.4%)
30.8%prior 39
Dark - unknown roadway lighting7 (0.2%)
16.7%prior 6

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

Road Surface

Dry2,946 (78.4%)
10.4%prior 2,669
Wet434 (11.6%)
0.9%prior 430
Ice/frost161 (4.3%)
114.7%prior 75
Snow159 (4.2%)
137.3%prior 67
Slush41 (1.1%)
95.2%prior 21
Gravel9 (0.2%)
-35.7%prior 14
Other (explain in narrative)5 (0.1%)
Mud, dirt2 (0.1%)

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

Vehicles & Demographics

The makes of vehicles involved in crashes were consistent year-over-year, with Chevrolet and Ford being the most common in both 2020 and 2021. The number of vehicles from these top makes involved in crashes increased, in line with the overall rise in collisions. Regarding driver demographics, the 26-34 age group represented the largest share of persons involved in crashes in both years, though its proportion decreased slightly from 16.1% in 2020 to 15.1% in 2021. Conversely, the 35-44 age group's involvement increased from 12.5% to 13.9% of all persons.

Top Vehicle Makes (7,328 vehicles)

1
FORD1,253 (17.1%)
10.7%prior 1,132
2
CHEVROLET679 (9.3%)
17.9%prior 576
3
CHEV579 (7.9%)
0.2%prior 578
4
NR333 (4.5%)
6.4%prior 313
5
TOYOTA327 (4.5%)
62.7%prior 201
6
TOYT289 (3.9%)
6.6%prior 271
7
JEEP277 (3.8%)
19.9%prior 231
8
GMC248 (3.4%)
13.2%prior 219
9
HOND237 (3.2%)
-5.2%prior 250
10
HONDA219 (3%)
9.0%prior 201

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

1,754 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (5,788 persons with recorded sex)

Male3,210 (55.5%)
7.4%prior 2,990
Female2,578 (44.5%)
7.1%prior 2,406

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: 3,909
  • Total persons involved: 8,920
  • Total vehicles involved: 7,328

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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