ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · READSBORO, VT · 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/vermont/readsboro/2021-annual-report
Yearly Traffic Safety Analysis
16 CRASHES IN
READSBORO, VT
2021
Total crashes in Readsboro increased by 33.3%, rising from 12 crashes in the prior year to 16 crashes in the current year. The most significant year-over-year shift was the emergence of fatal crashes, with 1 fatal crash and 1 fatality reported in the current year compared to zero in the prior year. Additionally, DUI-related crashes were reported for the first time in the current year, accounting for 1 crash.
16
▲ 33.3%was 12
Total Crash Events
1
Fatal Crashes
4
Injury Crashes
1
Fatal Crash Events
Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 6 crashes with unreported severity are not shown in the severity breakdown.
Source: Vermont Crash Data · Arcgis Open Data · 2021-01-01 to 2021-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall crash trends in Readsboro indicate a notable increase year-over-year, with total crashes rising by 33.3% from 12 to 16. This increase was accompanied by a critical change in crash outcomes, as fatalities rose from zero in the prior year to one in the current year. Total injuries remained stable at 4 across both periods.
When Crashes Happen
The peak day for crashes remained Saturday in both periods, increasing slightly from 3 crashes in the prior year to 4 crashes in the current year. However, the peak hour shifted from 11 PM in the prior year to 7 PM in the current year, with both periods recording 2 crashes during their respective peak hours. This indicates a change in the timing of peak crash activity.
Source: Vermont Crash Data · Arcgis Open Data · 2021-01-01 to 2021-12-31 · Crash date field aggregated by weekday
Source: Vermont Crash Data · Arcgis Open Data · 2021-01-01 to 2021-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The most significant change in crash severity was the emergence of fatal crashes, with 1 fatal crash (6.3% of total crashes) and 1 fatality reported in the current year compared to zero in the prior year. The number of injury crashes remained consistent at 4 in both periods, though their proportion of total crashes decreased from 33.3% to 25% due to the overall increase in crash volume. Crashes resulting in no injuries increased from 3 (25%) in the prior year to 5 (31.3%) in the current year.
Outcome by Severity (Crash Events)
Source: Vermont Crash Data · Arcgis Open Data · 2021-01-01 to 2021-12-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)
Severity Distribution (Crash Events)
Source: Vermont Crash Data · Arcgis Open Data · 2021-01-01 to 2021-12-31 · Most severe injury per crash record
Road & Environmental Conditions
Regarding weather conditions, crashes in clear conditions remained stable at 5 for both years, while crashes in freezing precipitation decreased from 2 to 1. Notably, 3 crashes occurred in cloudy conditions in the current year, a condition not explicitly listed in the prior year's data. For lighting, crashes during daylight hours more than doubled, increasing from 5 in the prior year to 11 in the current year, while crashes in dark conditions decreased from 7 to 5. On road surfaces, dry road crashes increased from 4 to 7, and snow-related crashes decreased from 3 to 1, with 1 crash occurring on ice in the current year, a condition not present in the prior year's snow data.
Weather
Source: Vermont Crash Data · Arcgis Open Data · 2021-01-01 to 2021-12-31 · Weather condition at time of crash
Lighting
Source: Vermont Crash Data · Arcgis Open Data · 2021-01-01 to 2021-12-31 · Lighting condition field
Road Surface
Source: Vermont Crash Data · Arcgis Open Data · 2021-01-01 to 2021-12-31 · Road surface condition field
Data Sources & Methodology
Primary Data Source
All crash data in this report is sourced from Vermont 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: July 5, 2026
Data Coverage
- Reporting period: 2021-01-01 through 2021-12-31 (365 days)
- Geographic scope: Readsboro, VT
- Total crash records analyzed: 16
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). "Readsboro, VT Crash Intelligence Report: 2021." Published July 5, 2026. Reporting period: 2021-01-01 to 2021-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/readsboro/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: Vermont Crash Data · Arcgis
Period: 2021-01-01 – 2021-12-31
Generated: July 5, 2026 · All rights reserved