Yearly Traffic Safety Analysis

198 CRASHES IN
SPRINGFIELD, VT
2020

All metrics benchmarked against2019

Total crashes in Springfield decreased by 25%, from 264 in 2019 to 198 in 2020. This period also saw a 50% reduction in total fatalities, dropping from 2 in 2019 to 1 in 2020. This decrease in fatalities represents the most significant year-over-year shift.

198

-25.0%was 264

Total Crash Events

1

-50.0%was 2

Fatal Crashes

33

-21.4%was 42

Injury Crashes

1

-50.0%was 2

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 26 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2020-01-01 to 2020-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall crash trends indicate a notable decline across key metrics from 2019 to 2020. Total crashes decreased by 25%, from 264 to 198, while total fatalities were reduced by 50%, from 2 to 1. Additionally, total injuries experienced a decrease of approximately 21.4%, falling from 42 in 2019 to 33 in 2020.

When Crashes Happen

The peak day for crashes shifted from Tuesday in 2019, with 56 crashes, to Friday in 2020, with 43 crashes. Similarly, the peak hour for crashes moved from 4 PM in 2019, accounting for 23 crashes, to 5 PM in 2020, with 20 crashes. The overall distribution of crashes by day and hour reflects a general reduction in incident counts across the year.

Source: Vermont Crash Data · Arcgis Open Data · 2020-01-01 to 2020-12-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2020-01-01 to 2020-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The number of fatal crashes decreased from 2 in 2019 to 1 in 2020, leading to a lower fatal crash rate of 0.51% in 2020 compared to 0.76% in 2019. Injury crashes decreased in raw count from 42 in 2019 to 33 in 2020, although their proportion of total crashes slightly increased from 15.9% to 16.7%. Crashes with no injuries also decreased from 196 to 138, with their proportion of total crashes slightly decreasing from 74.2% to 69.7%.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.5%
-50.0%prior 2
Injury33minor injury crashes16.7%
-21.4%prior 42
No Injury138no injury crashes69.7%
-29.6%prior 196

Source: Vermont Crash Data · Arcgis Open Data · 2020-01-01 to 2020-12-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2020-01-01 to 2020-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions remained the most frequent, decreasing from 150 in 2019 to 108 in 2020. Incidents during 'Daylight' hours decreased from 197 in 2019 to 146 in 2020, while those in 'Dark' conditions decreased from 58 to 51. 'Dry' road surfaces continued to be the most common condition for crashes, with counts decreasing from 153 in 2019 to 108 in 2020, and crashes on 'Wet' surfaces also decreased from 36 to 19.

Weather

Clear108 (64.3%)
-28.0%prior 150
Freezing Precipitation37 (22.0%)
27.6%prior 29
Cloudy15 (8.9%)
-31.8%prior 22
Rain8 (4.8%)
-68.0%prior 25

Source: Vermont Crash Data · Arcgis Open Data · 2020-01-01 to 2020-12-31 · Weather condition at time of crash

Lighting

Daylight146 (74.1%)
-25.9%prior 197
Dark51 (25.9%)
-12.1%prior 58

Source: Vermont Crash Data · Arcgis Open Data · 2020-01-01 to 2020-12-31 · Lighting condition field

Road Surface

Dry108 (64.7%)
-29.4%prior 153
Snow26 (15.6%)
52.9%prior 17
Wet19 (11.4%)
-47.2%prior 36
Ice11 (6.6%)
22.2%prior 9
Slush3 (1.8%)
-72.7%prior 11

Source: Vermont Crash Data · Arcgis Open Data · 2020-01-01 to 2020-12-31 · 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: 2020-01-01 through 2020-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2020-01-01 through 2020-12-31 (366 days)
  • Geographic scope: Springfield, VT
  • Total crash records analyzed: 198

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). "Springfield, VT Crash Intelligence Report: 2020." Published July 5, 2026. Reporting period: 2020-01-01 to 2020-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/springfield/2020-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

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Springfield, VT Crash Report — 2020 | ThatCarHitMe.com