Yearly Traffic Safety Analysis

20 CRASHES IN
RICHFORD, VT
2017

All metrics benchmarked against2016

Total crashes in Richford, VT increased by 66.7% from 12 in 2016 to 20 in 2017. This period also saw a notable increase in DUI-related crashes, rising from 1 in 2016 to 3 in 2017. Overall, the data indicates a significant rise in crash incidents year-over-year.

20

66.7%was 12

Total Crash Events

0

Fatal Crashes

4

33.3%was 3

Injury Crashes

0

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 · 2017-01-01 to 2017-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in Richford, VT showed an upward trend year-over-year. Total crashes increased by 66.7%, from 12 crashes in 2016 to 20 crashes in 2017. Similarly, total injuries rose by 33.3%, from 3 injuries in 2016 to 4 injuries in 2017, while fatalities remained at zero in both years.

When Crashes Happen

The peak day for crashes shifted from Thursday in 2016, which recorded 4 crashes, to Tuesday in 2017, which saw 5 crashes. The peak hour also changed, moving from 6 PM in 2016 to 2 PM in 2017, with both hours recording 3 crashes. Notably, crashes on Tuesdays increased from 0 in 2016 to 5 in 2017.

Source: Vermont Crash Data · Arcgis Open Data · 2017-01-01 to 2017-12-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2017-01-01 to 2017-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Total fatalities remained at zero in both 2016 and 2017. While total injuries increased from 3 in 2016 to 4 in 2017, the proportion of crashes resulting in injury decreased from 25% (3 out of 12) in 2016 to 20% (4 out of 20) in 2017. Conversely, crashes with no injuries increased from 50% to 55% of the total crashes.

Outcome by Severity (Crash Events)

Injury4minor injury crashes20%
33.3%prior 3
No Injury11no injury crashes55%
83.3%prior 6

Source: Vermont Crash Data · Arcgis Open Data · 2017-01-01 to 2017-12-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2017-01-01 to 2017-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Crashes occurring in clear weather increased from 4 in 2016 to 5 in 2017, while those in cloudy conditions rose from 3 to 4. Crashes during freezing precipitation doubled from 1 to 2, and 2 crashes occurred in rain in 2017 where none were reported in 2016. In terms of road surface, crashes on dry roads increased from 6 to 8, and those on snow increased from 1 to 3.

Weather

Clear5 (38.5%)
Cloudy4 (30.8%)
Freezing Precipitation2 (15.4%)
Rain2 (15.4%)

Source: Vermont Crash Data · Arcgis Open Data · 2017-01-01 to 2017-12-31 · Weather condition at time of crash

Lighting

Daylight15 (75.0%)
66.7%prior 9
Dark5 (25.0%)

Source: Vermont Crash Data · Arcgis Open Data · 2017-01-01 to 2017-12-31 · Lighting condition field

Road Surface

Dry8 (61.5%)
33.3%prior 6
Snow3 (23.1%)
Wet2 (15.4%)

Source: Vermont Crash Data · Arcgis Open Data · 2017-01-01 to 2017-12-31 · 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: 2017-01-01 through 2017-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2017-01-01 through 2017-12-31 (365 days)
  • Geographic scope: Richford, VT
  • Total crash records analyzed: 20

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). "Richford, VT Crash Intelligence Report: 2017." Published July 5, 2026. Reporting period: 2017-01-01 to 2017-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/richford/2017-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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Richford, VT Crash Report — 2017 | ThatCarHitMe.com