Monthly Traffic Safety Analysis

607 CRASHES IN
VERMONT, VT
SEPTEMBER 2022

All metrics benchmarked againstSeptember 2021

In September 2022, Vermont recorded 607 total crashes, a 30.3% decrease from the 871 crashes reported in September 2021. While overall incidents declined, the number of fatalities remained nearly stable, with 7 in the current period compared to 8 in the prior year. A notable shift occurred in crashes involving vulnerable road users, with motorcycle crashes increasing from 0 to 33 year-over-year, while bicycle-involved crashes fell from 14 to 1.

607

-30.3%was 871

Total Crash Events

7

-12.5%was 8

Fatal Crashes

164

1.9%was 161

Injury Crashes

7

-12.5%was 8

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 37 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2022-09-01 to 2022-09-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Crash incidents across Vermont saw a substantial year-over-year decline in September, falling from 871 in 2021 to 607 in 2022. Despite this 30.3% reduction in total crashes, the number of people injured remained nearly unchanged at 164, compared to 161 the previous year. Fatalities also remained relatively stable, with 7 deaths recorded in September 2022 versus 8 in September 2021.

When Crashes Happen

The temporal patterns of crashes in September remained consistent year-over-year, despite the lower volume of incidents. Friday was the day with the most crashes in both September 2022 (126 crashes) and September 2021 (155 crashes). Similarly, the 3 p.m. hour was the peak time for incidents in both periods, accounting for 64 crashes in the current year and 75 in the prior year.

Source: Vermont Crash Data · Arcgis Open Data · 2022-09-01 to 2022-09-30 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2022-09-01 to 2022-09-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

While total crashes decreased, the proportion of crashes resulting in injury or death increased in September 2022 compared to the same month in 2021. The fatal crash rate rose from 0.92% to 1.15%, with 7 fatal crashes recorded out of 607 total incidents. Injury-involved crashes also constituted a larger share of the total, rising from 18.5% of incidents (161 injuries) in the prior year to 27% (164 injuries) in the current period.

Outcome by Severity (Crash Events)

Fatal7fatal crashes1.2%
-12.5%prior 8
Injury164minor injury crashes27%
1.9%prior 161
No Injury399no injury crashes65.7%
-11.5%prior 451

Source: Vermont Crash Data · Arcgis Open Data · 2022-09-01 to 2022-09-30 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2022-09-01 to 2022-09-30 · Most severe injury per crash record

Road & Environmental Conditions

Crashes in daylight conditions remained the most common scenario in both periods, decreasing from 666 incidents to 485. However, there was a notable increase in crashes occurring during adverse weather; incidents reported during rain increased from 34 to 59 year-over-year. Correspondingly, crashes on wet road surfaces rose from 44 in September 2021 to 83 in September 2022.

Weather

Clear315 (68.9%)
-11.5%prior 356
Cloudy83 (18.2%)
-3.5%prior 86
Rain59 (12.9%)
73.5%prior 34

Source: Vermont Crash Data · Arcgis Open Data · 2022-09-01 to 2022-09-30 · Weather condition at time of crash

Lighting

Daylight485 (80.4%)
-27.2%prior 666
Dark118 (19.6%)
-41.6%prior 202

Source: Vermont Crash Data · Arcgis Open Data · 2022-09-01 to 2022-09-30 · Lighting condition field

Road Surface

Dry359 (78.6%)
-16.3%prior 429
Wet83 (18.2%)
88.6%prior 44
Sand, mud, dirt, oil, gravel8 (1.8%)
Water (standing / moving)5 (1.1%)
Other - Explain in Narrative2 (0.4%)
-60.0%prior 5

Source: Vermont Crash Data · Arcgis Open Data · 2022-09-01 to 2022-09-30 · 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: 2022-09-01 through 2022-09-30
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2022-09-01 through 2022-09-30 (30 days)
  • Geographic scope: vermont, VT
  • Total crash records analyzed: 607

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). "vermont, VT Crash Intelligence Report: September 2022." Published July 5, 2026. Reporting period: 2022-09-01 to 2022-09-30. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/statewide/september-2022-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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Vermont (Statewide) Crash Report — September 2022 | ThatCarHitMe.com