Yearly Traffic Safety Analysis

197 CRASHES IN
SPRINGFIELD, VT
2014

All metrics benchmarked against2013

Total crashes decreased from 235 in 2013 to 197 in 2014, representing a 16.17% reduction. This period saw an increase in fatalities from 0 in 2013 to 1 in 2014. Overall injuries decreased by 26.32%, from 38 in 2013 to 28 in 2014.

197

-16.2%was 235

Total Crash Events

1

Fatal Crashes

28

-26.3%was 38

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. 9 crashes with unreported severity are not shown in the severity breakdown.

Source: Vermont Crash Data · Arcgis Open Data · 2014-01-01 to 2014-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash incidents in Springfield, VT showed a downward trend year-over-year, decreasing by 16.17% from 235 crashes in 2013 to 197 crashes in 2014. Despite this reduction in total crashes, the number of fatalities increased from 0 in 2013 to 1 in 2014. Total injuries also decreased by 26.32% during this period.

When Crashes Happen

The peak day for crashes remained Wednesday, though the count decreased from 45 in 2013 to 40 in 2014. The peak hour for crashes shifted from 2 PM (27 crashes) in 2013 to 4 PM (21 crashes) in 2014. Notably, crashes on Mondays decreased from 42 to 23, and crashes on Saturdays decreased from 31 to 19.

Source: Vermont Crash Data · Arcgis Open Data · 2014-01-01 to 2014-12-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2014-01-01 to 2014-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The fatal crash rate increased from 0% in 2013 to 0.51% in 2014, with one fatal crash reported in 2014 compared to none in 2013. The proportion of injury crashes decreased from 16.2% of total crashes in 2013 to 14.2% in 2014. This represents a decrease in the absolute number of injury crashes from 38 to 28.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.5%
Injury28minor injury crashes14.2%
-26.3%prior 38
No Injury159no injury crashes80.7%
-9.7%prior 176

Source: Vermont Crash Data · Arcgis Open Data · 2014-01-01 to 2014-12-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2014-01-01 to 2014-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Crashes occurring in clear weather decreased from 123 in 2013 to 97 in 2014, while crashes in rainy conditions increased from 10 to 12. Crashes during daylight hours decreased from 180 to 153, and crashes in dark conditions decreased from 50 to 35. Crashes on dry road surfaces decreased from 134 to 113, and crashes on wet road surfaces decreased from 24 to 19.

Weather

Clear97 (61.8%)
-21.1%prior 123
Cloudy29 (18.5%)
-9.4%prior 32
Freezing Precipitation18 (11.5%)
0.0%prior 18
Rain12 (7.6%)
20.0%prior 10
Wind1 (0.6%)

Source: Vermont Crash Data · Arcgis Open Data · 2014-01-01 to 2014-12-31 · Weather condition at time of crash

Lighting

Daylight153 (81.4%)
-15.0%prior 180
Dark35 (18.6%)
-30.0%prior 50

Source: Vermont Crash Data · Arcgis Open Data · 2014-01-01 to 2014-12-31 · Lighting condition field

Road Surface

Dry113 (70.6%)
-15.7%prior 134
Wet19 (11.9%)
-20.8%prior 24
Snow18 (11.3%)
-14.3%prior 21
Ice5 (3.1%)
Slush3 (1.9%)
Sand, mud, dirt, oil, gravel2 (1.3%)

Source: Vermont Crash Data · Arcgis Open Data · 2014-01-01 to 2014-12-31 · 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: 2014-01-01 through 2014-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2014-01-01 through 2014-12-31 (365 days)
  • Geographic scope: Springfield, VT
  • Total crash records analyzed: 197

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: 2014." Published July 5, 2026. Reporting period: 2014-01-01 to 2014-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/springfield/2014-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 — 2014 | ThatCarHitMe.com