Yearly Traffic Safety Analysis

39 CRASHES IN
PUTNEY, VT
2018

All metrics benchmarked against2017

Total crashes in Putney decreased significantly by 51.25%, from 80 in 2017 to 39 in 2018. A notable shift was the increase in total fatalities, which rose from 0 in 2017 to 1 in 2018. This period also saw a rise in DUI-related crashes from 0 to 1.

39

-51.2%was 80

Total Crash Events

1

Fatal Crashes

8

-20.0%was 10

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

Source: Vermont Crash Data · Arcgis Open Data · 2018-01-01 to 2018-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, there was a substantial downward trend in crash incidents year-over-year. The total number of crashes decreased by 51.25%, falling from 80 crashes in 2017 to 39 crashes in 2018.

When Crashes Happen

The peak day for crashes shifted from Saturday, with 17 incidents in 2017, to both Friday and Wednesday, each recording 9 incidents in 2018. The peak hour also changed, moving from 2 PM with 11 crashes in 2017 to 3 PM with 5 crashes in 2018. The highest monthly crash count decreased from 22 in December 2017 to 8 in January 2018.

Source: Vermont Crash Data · Arcgis Open Data · 2018-01-01 to 2018-12-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2018-01-01 to 2018-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Total fatalities increased from 0 in 2017 to 1 in 2018, leading to a fatal crash rate of 2.56% in 2018 compared to 0% in the prior year. While total injuries decreased from 10 in 2017 to 8 in 2018, the proportion of injury crashes relative to all crashes increased from 12.5% to 20.5% during the same period.

Outcome by Severity (Crash Events)

Fatal1fatal crashes2.6%
Injury8minor injury crashes20.5%
-20.0%prior 10
No Injury25no injury crashes64.1%
8.7%prior 23

Source: Vermont Crash Data · Arcgis Open Data · 2018-01-01 to 2018-12-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2018-01-01 to 2018-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Crashes occurring in clear weather remained at 11 incidents in both years, though their proportion of total crashes increased from 13.75% in 2017 to 28.2% in 2018. Crashes on dry and wet road surfaces each increased from 11 in 2017 to 13 in 2018, while crashes on snow decreased from 7 to 2. The proportion of crashes occurring in daylight remained stable at approximately 67.5% in 2017 and 66.7% in 2018.

Weather

Clear11 (35.5%)
0.0%prior 11
Rain9 (29.0%)
12.5%prior 8
Freezing Precipitation6 (19.4%)
20.0%prior 5
Cloudy5 (16.1%)
-37.5%prior 8

Source: Vermont Crash Data · Arcgis Open Data · 2018-01-01 to 2018-12-31 · Weather condition at time of crash

Lighting

Daylight26 (66.7%)
-51.9%prior 54
Dark13 (33.3%)
-50.0%prior 26

Source: Vermont Crash Data · Arcgis Open Data · 2018-01-01 to 2018-12-31 · Lighting condition field

Road Surface

Dry13 (40.6%)
18.2%prior 11
Wet13 (40.6%)
18.2%prior 11
Snow2 (6.3%)
-71.4%prior 7
Ice2 (6.3%)
Water (standing / moving)1 (3.1%)
Slush1 (3.1%)

Source: Vermont Crash Data · Arcgis Open Data · 2018-01-01 to 2018-12-31 · 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: 2018-01-01 through 2018-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2018-01-01 through 2018-12-31 (365 days)
  • Geographic scope: Putney, VT
  • Total crash records analyzed: 39

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). "Putney, VT Crash Intelligence Report: 2018." Published July 5, 2026. Reporting period: 2018-01-01 to 2018-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/putney/2018-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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Putney, VT Crash Report — 2018 | ThatCarHitMe.com