Yearly Traffic Safety Analysis

38 CRASHES IN
PITTSFORD, VT
2022

All metrics benchmarked against2021

In 2022, Pittsford recorded 38 total traffic collisions, a 7.3% decrease from the 41 crashes documented in 2021. While overall crashes declined, the number of incidents reported as involving driving under the influence (DUI) increased from one in 2021 to three in 2022. The total number of injuries remained unchanged at 11 for both annual periods.

38

-7.3%was 41

Total Crash Events

0

Fatal Crashes

11

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 · 2022-01-01 to 2022-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Year-over-year, traffic crashes in Pittsford saw a modest decline, falling from 41 incidents in 2021 to 38 in 2022, a decrease of 7.3%. Despite the drop in the total number of crashes, the number of resulting injuries held steady at 11 in both periods. There were no fatal crashes recorded in either 2021 or 2022.

When Crashes Happen

The temporal patterns of crashes showed some shifts between 2021 and 2022. While Saturday remained a peak day for crashes in both years with 9 incidents, 2022 also saw a significant concentration of crashes on Tuesdays, which had 8 incidents compared to 4 in the prior year. The peak hour for crashes shifted slightly later, from 3 p.m. in 2021 (6 crashes) to 4 p.m. in 2022 (5 crashes).

Source: Vermont Crash Data · Arcgis Open Data · 2022-01-01 to 2022-12-31 · Crash date field aggregated by weekday

Source: Vermont Crash Data · Arcgis Open Data · 2022-01-01 to 2022-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Crash severity outcomes remained largely stable year-over-year, with zero fatal crashes recorded in either 2021 or 2022. The total number of injuries was unchanged, with 11 reported in both periods. However, due to a decrease in total crashes, the proportion of collisions resulting in an injury slightly increased from 26.8% in 2021 to 28.9% in 2022.

Outcome by Severity (Crash Events)

Injury11minor injury crashes28.9%
0.0%prior 11
No Injury22no injury crashes57.9%
-4.3%prior 23

Source: Vermont Crash Data · Arcgis Open Data · 2022-01-01 to 2022-12-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: Vermont Crash Data · Arcgis Open Data · 2022-01-01 to 2022-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Crashes in 2022 were more frequently associated with adverse weather and road conditions compared to 2021. The number of crashes occurring in rain, cloudy weather, or freezing precipitation increased from 8 incidents in 2021 to 14 in 2022. Similarly, collisions on wet, snow-covered, or icy roads more than doubled, rising from 6 in the prior year to 13 in the current year. The number of crashes occurring in the dark was unchanged at 13 for both periods.

Weather

Clear14 (50.0%)
-30.0%prior 20
Freezing Precipitation5 (17.9%)
Rain5 (17.9%)
Cloudy4 (14.3%)
-20.0%prior 5

Source: Vermont Crash Data · Arcgis Open Data · 2022-01-01 to 2022-12-31 · Weather condition at time of crash

Lighting

Daylight25 (65.8%)
-10.7%prior 28
Dark13 (34.2%)
0.0%prior 13

Source: Vermont Crash Data · Arcgis Open Data · 2022-01-01 to 2022-12-31 · Lighting condition field

Road Surface

Dry15 (53.6%)
-34.8%prior 23
Wet8 (28.6%)
Snow4 (14.3%)
Ice1 (3.6%)

Source: Vermont Crash Data · Arcgis Open Data · 2022-01-01 to 2022-12-31 · 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: 2022-01-01 through 2022-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2022-01-01 through 2022-12-31 (365 days)
  • Geographic scope: Pittsford, VT
  • Total crash records analyzed: 38

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). "Pittsford, VT Crash Intelligence Report: 2022." Published July 5, 2026. Reporting period: 2022-01-01 to 2022-12-31. Data source: Vermont Crash Data, Arcgis Open Data. Available at: https://thatcarhitme.com/crash-data/vermont/pittsford/2022-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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Pittsford, VT Crash Report — 2022 | ThatCarHitMe.com