Yearly Traffic Safety Analysis

85 CRASHES IN
ROCKINGHAM, VT
2019

All metrics benchmarked against2018

Total crashes in Rockingham increased from 53 in 2018 to 85 in 2019, representing a 60.4% rise year-over-year. This overall increase was accompanied by a significant 80% decrease in DUI-related crashes, which fell from 5 in 2018 to 1 in 2019.

85

60.4%was 53

Total Crash Events

0

Fatal Crashes

20

33.3%was 15

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

Source: Vermont Crash Data · Arcgis Open Data · 2019-01-01 to 2019-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash activity in Rockingham increased year-over-year. Total crashes rose by 60.4%, from 53 crashes in 2018 to 85 crashes in 2019. This increase was accompanied by a 33.3% rise in total injuries, from 15 in 2018 to 20 in 2019.

When Crashes Happen

The peak day for crashes shifted from Sunday (11 crashes) in 2018 to Monday, Friday, and Saturday (14 crashes each) in 2019. The peak hour also changed, moving from 3 PM (5 crashes) in 2018 to 9 PM (8 crashes) in 2019. While January recorded the highest number of crashes in both years, the monthly distribution of crashes appears more evenly spread across 2019 compared to 2018.

Source: Vermont Crash Data · Arcgis Open Data · 2019-01-01 to 2019-12-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2019-01-01 to 2019-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Both 2018 and 2019 recorded zero fatalities in Rockingham. The proportion of crashes resulting in injury decreased from 28.3% (15 injuries) in 2018 to 23.5% (20 injuries) in 2019, despite an increase in the absolute number of injuries. Conversely, the percentage of crashes with no reported injury decreased from 54.7% in 2018 to 42.4% in 2019.

Outcome by Severity (Crash Events)

Injury20minor injury crashes23.5%
33.3%prior 15
No Injury36no injury crashes42.4%
24.1%prior 29

Source: Vermont Crash Data · Arcgis Open Data · 2019-01-01 to 2019-12-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2019-01-01 to 2019-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Crashes occurring in "Dark" lighting conditions saw a notable increase, rising from 17 crashes (32.1% of total) in 2018 to 37 crashes (43.5% of total) in 2019. Crashes during "Clear" weather conditions increased from 23 in 2018 to 28 in 2019, while crashes during "Freezing Precipitation" also rose from 7 to 10. The number of crashes on "Dry" road surfaces increased from 22 in 2018 to 32 in 2019, but crashes on "Wet" surfaces slightly decreased from 8 to 7.

Weather

Clear28 (54.9%)
21.7%prior 23
Freezing Precipitation10 (19.6%)
42.9%prior 7
Rain7 (13.7%)
16.7%prior 6
Cloudy6 (11.8%)
20.0%prior 5

Source: Vermont Crash Data · Arcgis Open Data · 2019-01-01 to 2019-12-31 · Weather condition at time of crash

Lighting

Daylight48 (56.5%)
33.3%prior 36
Dark37 (43.5%)
117.6%prior 17

Source: Vermont Crash Data · Arcgis Open Data · 2019-01-01 to 2019-12-31 · Lighting condition field

Road Surface

Dry32 (60.4%)
45.5%prior 22
Snow7 (13.2%)
Wet7 (13.2%)
-12.5%prior 8
Ice5 (9.4%)
0.0%prior 5
Water (standing / moving)1 (1.9%)
Sand, mud, dirt, oil, gravel1 (1.9%)

Source: Vermont Crash Data · Arcgis Open Data · 2019-01-01 to 2019-12-31 · 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: 2019-01-01 through 2019-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2019-01-01 through 2019-12-31 (365 days)
  • Geographic scope: Rockingham, VT
  • Total crash records analyzed: 85

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). "Rockingham, VT Crash Intelligence Report: 2019." Published July 5, 2026. Reporting period: 2019-01-01 to 2019-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/rockingham/2019-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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Rockingham, VT Crash Report — 2019 | ThatCarHitMe.com