ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · IOWA, IA · 2022
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/2022-annual-report
Yearly Traffic Safety Analysis
60 CRASHES IN
IOWA, IA
2022
In 2022, Taylor County recorded 60 total traffic crashes, a decrease from the 68 crashes reported in 2021, representing an 11.8% reduction. While total injuries remained stable with 18 in 2022 compared to 17 in the prior year, the most significant change was the absence of any fatal crashes. In 2021, there was one fatal crash resulting in one death, whereas 2022 saw zero traffic-related fatalities.
60
▼ -11.8%was 68
Total Crash Events
0
▼ -100.0%was 1
Persons Killed
18
▲ 5.9%was 17
Persons Injured
0
▼ -100.0%was 1
Fatal Crash Events
Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (0) 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, traffic crashes in Taylor County showed a downward trend from 2021 to 2022, with total collisions decreasing by 11.8% from 68 to 60. While the number of injuries saw a slight increase from 17 to 18, there was a positive development in crash severity, as fatalities dropped from one in 2021 to zero in 2022.
Vulnerable Road User Casualties
0
Motorists Killed
18
Motorists Injured
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 temporal patterns of crashes in Taylor County shifted between 2021 and 2022. The peak day for crashes moved from Thursday, with 18 incidents in 2021, to Friday, with 14 incidents in 2022. Similarly, the peak hour for collisions changed from the 3 p.m. hour in 2021, which had 9 crashes, to the 6 p.m. hour in 2022 with 7 crashes.
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 improved in 2022, with fatal crashes eliminated entirely, down from one fatal incident in 2021. The proportion of crashes resulting in any level of injury remained stable, accounting for 20.0% of all crashes in 2022 (12 incidents) compared to 20.6% in 2021 (14 incidents). Serious injury crashes decreased from 5 in 2021 to 3 in 2022, while minor injury crashes increased from 1 to 7.
Outcome by Severity (Crash Events)
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
Collisions involving an animal remained the leading contributing factor in both periods, though the count decreased from 30 crashes in 2021 to 26 in 2022. The second-most cited factor shifted; in 2021 it was 'Lost Control' with 5 crashes, while in 2022 it was 'Driver Distraction: Other interior distraction', which increased from 1 to 5 incidents. Crashes attributed to 'Followed too close' saw a notable decrease, falling from 4 incidents in 2021 to 1 in 2022.
Officer-Reported Primary Contributing Cause
Source: Iowa Crash Data · ArcGIS Open Data · 2022-01-01 to 2022-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crashes in clear weather and on dry roads were more frequent in 2022 compared to 2021, with clear-weather incidents rising from 28 to 31 and dry-road incidents increasing from 26 to 29. Conversely, there was a notable decrease in crashes occurring during adverse road conditions, which fell from 14 incidents in 2021 to 7 in 2022. Crashes in dark conditions remained constant at 8 incidents in both years.
Weather
Source: Iowa Crash Data · ArcGIS Open Data · 2022-01-01 to 2022-12-31 · Weather condition at time of crash
Lighting
Source: Iowa Crash Data · ArcGIS Open Data · 2022-01-01 to 2022-12-31 · Lighting condition field
Road Surface
Source: Iowa Crash Data · ArcGIS Open Data · 2022-01-01 to 2022-12-31 · Road surface condition field
Vehicles & Demographics
The vehicle makes most frequently involved in crashes shifted between the two years. While Ford was the most common make in 2021 with 22 vehicles, its involvement decreased to 19 vehicles in 2022. In contrast, Chevrolet vehicles (combining 'CHEV' and 'CHEVROLET' entries) became the most common, increasing from 15 involved vehicles in 2021 to 25 in 2022. The age demographics of persons involved in crashes also changed, with the 26-34 and 45-54 age groups being the largest in 2022 (21 persons each), a shift from 2021 where the 35-44 (21 persons) and 65+ (20 persons) age groups were most represented.
Top Vehicle Makes (82 vehicles)
Source: Iowa Crash Data · ArcGIS Open Data · 2022-01-01 to 2022-12-31 · Vehicle unit records
15 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (73 persons with recorded sex)
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: 60
- Total persons involved: 130
- Total vehicles involved: 82
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
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Iowa Crash Data · ArcGIS
Period: 2022-01-01 – 2022-12-31
Generated: September 9, 2026 · All rights reserved