Yearly Traffic Safety Analysis

229 CRASHES IN
HARTFORD, VT
2014

All metrics benchmarked against2013

Total crashes in Hartford, Vermont decreased by 11.24% year-over-year, from 258 crashes in 2013 to 229 crashes in 2014. The most notable shift was the complete elimination of crash fatalities, which dropped from 3 in 2013 to 0 in 2014. This represents a significant improvement in crash outcomes for the period.

229

-11.2%was 258

Total Crash Events

0

-100.0%was 3

Fatal Crashes

50

25.0%was 40

Injury Crashes

0

-100.0%was 3

Fatal Crash Events

Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons. 25 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, crashes in Hartford, Vermont showed a downward trend, decreasing by 11.24% from 258 crashes in 2013 to 229 crashes in 2014. This reduction indicates a positive shift in crash frequency year-over-year.

When Crashes Happen

The peak day for crashes shifted from Friday with 55 crashes in 2013 to Wednesday with 50 crashes in 2014. Similarly, the peak crash hour changed from 4 PM with 24 crashes in 2013 to 10 AM with 22 crashes in 2014, indicating a shift in the times of highest crash frequency.

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

Fatalities saw a 100% decrease, dropping from 3 in 2013 to 0 in 2014, while fatal crashes also decreased from 3 to 0. Conversely, the total number of injuries increased by 25%, rising from 40 in 2013 to 50 in 2014, and injury crashes as a proportion of total crashes increased from 15.5% to 21.8%.

Outcome by Severity (Crash Events)

Injury50minor injury crashes21.8%
25.0%prior 40
No Injury154no injury crashes67.2%
-8.3%prior 168

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

While crashes under clear weather conditions decreased by 1.9 percentage points (from 50.4% to 48.5%), crashes during cloudy conditions increased by 8.6 percentage points (from 12.8% to 21.4%). Crashes on dry road surfaces increased by 4.8 percentage points (from 55.0% to 59.8%), whereas crashes on wet surfaces decreased by 1.4 percentage points (from 12.8% to 11.4%). Additionally, crashes on icy roads increased from 3 (1.2% of total) in 2013 to 8 (3.5% of total) in 2014.

Weather

Clear111 (56.9%)
-14.6%prior 130
Cloudy49 (25.1%)
48.5%prior 33
Freezing Precipitation24 (12.3%)
-7.7%prior 26
Rain10 (5.1%)
-28.6%prior 14
Wind1 (0.5%)

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

Lighting

Daylight186 (81.2%)
-4.6%prior 195
Dark43 (18.8%)
-30.6%prior 62

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

Road Surface

Dry137 (68.2%)
-3.5%prior 142
Wet26 (12.9%)
-21.2%prior 33
Snow25 (12.4%)
0.0%prior 25
Ice8 (4.0%)
Slush3 (1.5%)
Other - Explain in Narrative1 (0.5%)
Water (standing / moving)1 (0.5%)

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: Hartford, VT
  • Total crash records analyzed: 229

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). "Hartford, 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/hartford/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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Hartford, VT Crash Report — 2014 | ThatCarHitMe.com