Yearly Traffic Safety Analysis

8,433 CRASHES IN
VERMONT, VT
2022

All metrics benchmarked against2021

In 2022, Vermont recorded 8,433 total traffic crashes, a 19.9% decrease from the 10,533 crashes reported in 2021. Despite the overall reduction in collisions, the number of fatalities increased from 69 to 73, and total injuries rose from 1,556 to 1,783. This divergence, where total crashes fell while severe outcomes worsened, represents the most significant trend in the year-over-year data.

8,433

▼ -19.9%was 10,533

Total Crash Events

▲ 5.8%was 69

Fatal Crashes

1,783

▲ 14.6%was 1,556

Injury Crashes

▲ 5.8%was 69

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 1,013 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2022-01-01 to 2022-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend in traffic collisions shows a significant year-over-year decline, with 2,100 fewer crashes in 2022 compared to 2021, representing a 19.9% reduction. However, this trend did not extend to crash severity, as the number of people injured increased by 14.6% from 1,556 to 1,783. Fatalities also rose by 5.8%, from 69 to 73.

When Crashes Happen

The temporal patterns of crashes remained consistent year-over-year, though the total volume decreased. Friday continued to be the day with the most crashes in 2022 (1,435), as it was in 2021 (1,862). Similarly, the 3 p.m. hour was the peak time for collisions in both periods, with 735 crashes in 2022 and 861 in 2021. No significant shifts in the daily or hourly distribution of crashes were observed between the two years.

Source: Vermont Crash Data · Arcgis Open Data · 2022-01-01 to 2022-12-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2022-01-01 to 2022-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

While total crashes decreased, the severity of those crashes worsened from 2021 to 2022. The fatal crash rate increased from 0.66 to 0.87 fatal crashes per 100 collisions. The total number of fatalities rose from 69 to 73, and the number of injuries increased by 14.6% from 1,556 to 1,783. This indicates that although fewer crashes occurred, they were more likely to result in injury or death.

Outcome by Severity (Crash Events)

Fatal73fatal crashes0.9%

↑5.8%prior 69

Injury1,783minor injury crashes21.1%

↑14.6%prior 1,556

No Injury5,564no injury crashes66%

↑3.0%prior 5,401

Source: Vermont Crash Data · Arcgis Open Data · 2022-01-01 to 2022-12-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2022-01-01 to 2022-12-31 · Most severe injury per crash record

Road & Environmental Conditions

The distribution of crashes across different environmental conditions remained largely stable between 2021 and 2022. Crashes in daylight accounted for 76.0% of incidents with known lighting conditions in 2022, a slight increase from 74.3% in the prior year. Among crashes with recorded weather data, the proportion occurring in clear conditions was nearly unchanged at 65.3% in 2022 versus 64.3% in 2021. The share of collisions on dry road surfaces saw a minor shift, decreasing from 71.3% of crashes with known road conditions in 2021 to 69.6% in 2022.

Weather

Clear3,771 (65.1%)

↑8.4%prior 3,478

Cloudy998 (17.2%)

↓-1.1%prior 1,009

Freezing Precipitation650 (11.2%)

↑19.0%prior 546

Rain360 (6.2%)

↓-5.0%prior 379

Wind18 (0.3%)

↑63.6%prior 11

Source: Vermont Crash Data · Arcgis Open Data · 2022-01-01 to 2022-12-31 · Weather condition at time of crash

Lighting

Daylight6,359 (76.0%)

↓-18.3%prior 7,782

Dark2,008 (24.0%)

↓-25.4%prior 2,692

Source: Vermont Crash Data · Arcgis Open Data · 2022-01-01 to 2022-12-31 · Lighting condition field

Road Surface

Dry4,066 (69.6%)

↑4.5%prior 3,892

Wet787 (13.5%)

↑0.4%prior 784

Snow647 (11.1%)

↑24.9%prior 518

Ice170 (2.9%)

↑37.1%prior 124

Slush76 (1.3%)

↑46.2%prior 52

Sand, mud, dirt, oil, gravel46 (0.8%)

↑21.1%prior 38

Other - Explain in Narrative35 (0.6%)

→0.0%prior 35

Water (standing / moving)15 (0.3%)

↓-11.8%prior 17

Source: Vermont Crash Data · Arcgis Open Data · 2022-01-01 to 2022-12-31 · 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: 2022-01-01 through 2022-12-31
Report generated: July 5, 2026

Data Coverage

Reporting period: 2022-01-01 through 2022-12-31 (365 days)
Geographic scope: vermont, VT
Total crash records analyzed: 8,433

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: 2022." Published July 5, 2026. Reporting period: 2022-01-01 to 2022-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/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

8,433 CRASHES INVERMONT, VT2022