Monthly Traffic Safety Analysis

1,110 CRASHES IN
VERMONT, VT
MARCH 2019

All metrics benchmarked againstMarch 2018

In March 2019, Vermont recorded 1,110 total vehicle crashes, representing a 26.7% increase from the 876 crashes in March 2018. While total injuries decreased slightly, the number of fatalities rose from one to two. A notable year-over-year shift occurred in the weekly crash pattern, with Friday replacing Thursday as the day with the highest number of collisions.

1,110

26.7%was 876

Total Crash Events

2

100.0%was 1

Fatal Crashes

143

-5.9%was 152

Injury Crashes

2

100.0%was 1

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 369 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2019-03-01 to 2019-03-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Crash totals in March 2019 showed a significant year-over-year increase, rising by 26.7% from 876 incidents in March 2018 to 1,110. While the number of persons injured decreased by 5.9% from 152 to 143, the number of fatalities doubled from one to two.

When Crashes Happen

The temporal patterns of crashes shifted significantly between March 2018 and March 2019. The day with the most crashes moved from Thursday (193 crashes) in the prior period to Friday (307 crashes) in the current period. Similarly, the peak hour for collisions shifted from the 5 p.m. evening commute hour (83 crashes) in 2018 to the midday hour of 12 p.m. (87 crashes) in 2019.

Source: Vermont Crash Data · Arcgis Open Data · 2019-03-01 to 2019-03-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2019-03-01 to 2019-03-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Year-over-year, the severity of crashes showed a mixed trend. The proportion of fatal crashes doubled, increasing from 0.1% of all incidents in March 2018 to 0.2% in March 2019, with total fatalities rising from one to two. Conversely, the share of crashes resulting in an injury decreased from 17.4% to 12.9% over the same period.

Outcome by Severity (Crash Events)

Fatal2fatal crashes0.2%
100.0%prior 1
Injury143minor injury crashes12.9%
-5.9%prior 152
No Injury596no injury crashes53.7%
-17.6%prior 723

Source: Vermont Crash Data · Arcgis Open Data · 2019-03-01 to 2019-03-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2019-03-01 to 2019-03-31 · Most severe injury per crash record

Road & Environmental Conditions

Environmental conditions associated with crashes changed notably year-over-year. Crashes during 'Freezing Precipitation' saw a significant proportional decrease, accounting for 9.5% of incidents in March 2019 compared to 28.1% in March 2018. This corresponds with a drop in collisions on snowy road surfaces, which fell from 22.6% to 9.9% of the total. While most crashes in both periods occurred in daylight, the proportion of crashes in the dark increased from 24.9% to 28.0%.

Weather

Clear349 (61.9%)
21.6%prior 287
Freezing Precipitation106 (18.8%)
-56.9%prior 246
Cloudy98 (17.4%)
-31.5%prior 143
Rain9 (1.6%)
0.0%prior 9
Wind2 (0.4%)

Source: Vermont Crash Data · Arcgis Open Data · 2019-03-01 to 2019-03-31 · Weather condition at time of crash

Lighting

Daylight790 (71.8%)
21.9%prior 648
Dark311 (28.2%)
42.7%prior 218

Source: Vermont Crash Data · Arcgis Open Data · 2019-03-01 to 2019-03-31 · Lighting condition field

Road Surface

Dry340 (60.2%)
-4.2%prior 355
Snow110 (19.5%)
-44.4%prior 198
Wet60 (10.6%)
-26.8%prior 82
Ice31 (5.5%)
3.3%prior 30
Slush16 (2.8%)
-23.8%prior 21
Sand, mud, dirt, oil, gravel4 (0.7%)
Other - Explain in Narrative4 (0.7%)

Source: Vermont Crash Data · Arcgis Open Data · 2019-03-01 to 2019-03-31 · 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: 2019-03-01 through 2019-03-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2019-03-01 through 2019-03-31 (31 days)
  • Geographic scope: vermont, VT
  • Total crash records analyzed: 1,110

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: March 2019." Published July 5, 2026. Reporting period: 2019-03-01 to 2019-03-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/statewide/march-2019-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 — March 2019 | ThatCarHitMe.com