ThatCarHitMe.com
An Injuria.ai Company
CRASH INTELLIGENCE REPORT · ANITA, IA · 2015
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/anita/2015-annual-report
Yearly Traffic Safety Analysis
8 CRASHES IN
ANITA, IA
2015
In 2015, Anita, IA recorded a total of 8 crashes, with no fatalities and no injuries reported. A notable finding is that 50% of all crashes were non-collision single-vehicle incidents. Additionally, animal-related incidents were a significant contributing factor, accounting for 25% of the crashes.
8
Total Crash Events
0
Persons Killed
0
Persons Injured
0
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 · 2015-01-01 to 2015-12-31 · Aggregate counts from crash, person, and vehicle records
When Crashes Happen
Crash data for Anita, IA in 2015 indicates that the highest number of crashes, 2 each, occurred in February, May, and August. Weekly analysis shows that Saturday and Wednesday were the peak days for crashes, each recording 2 incidents. The peak hour for crashes was 3 PM, also with 2 incidents, while 5 out of 8 crashes occurred during daylight conditions.
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash date field aggregated by weekday
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Crash time field aggregated by hour (0-23)
Top Contributing Factors
The primary contributing factors to crashes in Anita, IA during 2015 were 'Animal' and 'Other (explain in narrative): Other', each accounting for 25% of incidents. Other factors, including 'Downhill runaway', 'Driver Distraction: Reaching for object(s)/fallen object(s)', 'Driving too fast for conditions', and 'Ran Stop Sign', each contributed to 12.5% of crashes. These top factors highlight the diverse circumstances leading to incidents.
Officer-Reported Primary Contributing Cause
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
During 2015, 50% of crashes in Anita, IA occurred under clear weather conditions, and 62.5% took place on dry road surfaces. Daylight was the prevailing lighting condition for 62.5% of incidents. Adverse conditions included snow, which was present in 25% of crashes, and ice/frost on the road surface, also contributing to 25% of incidents.
Weather
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Weather condition at time of crash
Lighting
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Lighting condition field
Road Surface
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Road surface condition field
Vehicles & Demographics
Top Vehicle Makes (11 vehicles)
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Sex Distribution (11 persons with recorded sex)
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Person-level records linked to crash events
Vehicle Type
Passenger cars were the most common vehicle type involved in crashes, accounting for 4 out of 11 vehicles. Four-tire light trucks (pick-up/panel) were also frequently involved, representing 3 out of 11 vehicles. Tractor/semi-trailers were involved in 1 incident, making up 9.1% of vehicles, with no motorcycles reported.
Vehicle Type
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Traffic Control Device
For vehicles involved in crashes, 'No controls present' was the dominant traffic control condition, accounting for 9 out of 10 recorded instances. Only 1 vehicle (10%) was involved in a crash where 'Stop signs' were present. This suggests that most incidents occurred in areas without active traffic control devices.
Traffic Control Device
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Most Damaged Area
The most common area of damage to vehicles involved in crashes was the 'Front - passenger side corner', observed in 3 out of 10 vehicles. The 'Front' area was also frequently damaged, accounting for 2 out of 10 vehicles. Damage to the driver side (rear, front, or middle) occurred in 40% of the recorded vehicles.
Most Damaged Area
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
Pre-Crash Driver Action
Prior to crashes, the most common driver action was 'Movement essentially straight', observed in 7 out of 10 recorded instances, representing 70% of pre-crash actions. 'Backing' was the second most frequent action, accounting for 20% of the actions. 'Turning right' was noted in 10% of pre-crash actions.
Pre-Crash Driver Action
Source: Iowa Crash Data · ArcGIS Open Data · 2015-01-01 to 2015-12-31 · Vehicle unit records
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: 2015-01-01 through 2015-12-31
- Report generated: September 9, 2026
Data Coverage
- Reporting period: 2015-01-01 through 2015-12-31 (365 days)
- Geographic scope: ANITA, IA
- Total crash records analyzed: 8
- Total persons involved: 11
- Total vehicles involved: 11
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). "ANITA, IA Crash Intelligence Report: 2015." Published September 9, 2026. Reporting period: 2015-01-01 to 2015-12-31. Data source: Iowa Crash Data, ArcGIS Open Data. Available at: https://thatcarhitme.com/crash-data/iowa/anita/2015-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: 2015-01-01 – 2015-12-31
Generated: September 9, 2026 · All rights reserved