ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · IOWA, IA · 2021
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/iowa/statewide/2021-annual-report
Yearly Traffic Safety Analysis
155 CRASHES IN
IOWA, IA
2021
In 2021, Greene County recorded 155 total crashes, a 29.2% increase from the 120 crashes reported in 2020. This period saw a rise in total collisions, accompanied by an increase in fatalities from one in 2020 to three in 2021. The number of crashes involving ice or frost on the road surface also more than tripled year-over-year.
155
▲ 29.2%was 120
Total Crash Events
3
▲ 200.0%was 1
Persons Killed
37
▼ -5.1%was 39
Persons Injured
3
▲ 200.0%was 1
Fatal Crash Events
Note: "Persons Killed" (3) 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 · 2021-01-01 to 2021-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Traffic crashes in Greene County increased from 2020 to 2021, with total collisions rising by 35 incidents from 120 to 155. While the number of people injured remained relatively stable, decreasing slightly from 39 to 37, the number of fatalities increased from one to three. The rate of fatal crashes per 100 collisions also rose from 0.83 to 1.94.
Vulnerable Road User Casualties
3
Motorists Killed
37
Motorists Injured
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 between the two periods. In 2021, the most crashes occurred on Tuesdays (29) and during the 1 p.m. hour (15). This contrasts with 2020, when Thursday was the peak day with 28 crashes and the 5 p.m. hour was the peak time with 10 crashes. December was the month with the most crashes in 2021 (21), whereas June had the highest count in 2020 (14).
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 outcomes worsened in 2021 compared to 2020. The number of fatal crashes increased from one to three, and the count of serious injury crashes doubled from two to four. Despite a slight decrease in total injuries from 39 to 37, the proportion of crashes resulting in some level of injury (Fatal, Serious, Minor, or Possible) was slightly higher in 2021 at 20.6% compared to 22.5% in 2020.
Outcome by Severity (Crash Events)
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, increasing in count from 44 crashes in 2020 to 50 in 2021. This represents a 13.6% increase in the number of animal-related crashes, though their share of total crashes decreased from 36.7% to 32.3%. The number of crashes attributed to "Ran off road - left" more than tripled, rising from 3 to 11 incidents, while incidents of "Ran off road - straight" decreased from 10 to 8.
Officer-Reported Primary Contributing Cause
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 proportion of crashes occurring in clear weather and daylight conditions remained consistent year-over-year, accounting for 59.4% and 49.7% of incidents in 2021, respectively. However, there was a notable shift in crashes related to road surface conditions. The number of crashes on roads with ice or frost more than tripled, increasing from 4 in 2020 to 14 in 2021. Consequently, the share of crashes on dry roads decreased from 59.2% in 2020 to 51.6% in 2021.
Weather
Source: Iowa Crash Data · ArcGIS Open Data · 2021-01-01 to 2021-12-31 · Weather condition at time of crash
Lighting
Source: Iowa Crash Data · ArcGIS Open Data · 2021-01-01 to 2021-12-31 · Lighting condition field
Road Surface
Source: Iowa Crash Data · ArcGIS Open Data · 2021-01-01 to 2021-12-31 · Road surface condition field
Vehicles & Demographics
Chevrolet and Ford vehicles were the most frequently involved in crashes in both years, with both makes seeing an increase in total incidents in 2021. Regarding the demographics of persons involved, the 26-34 age group saw a notable increase in representation, growing from 32 individuals in 2020 to 54 in 2021. Conversely, the involvement of persons in the 16-20 age group decreased from 41 to 38, despite an overall increase in the total number of people involved in crashes.
Top Vehicle Makes (228 vehicles)
Source: Iowa Crash Data · ArcGIS Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records
26 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (184 persons with recorded sex)
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: 155
- Total persons involved: 288
- Total vehicles involved: 228
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
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Iowa Crash Data · ArcGIS
Period: 2021-01-01 – 2021-12-31
Generated: September 9, 2026 · All rights reserved