Monthly Traffic Safety Analysis

14 CRASHES IN
WESTMINSTER, MA
FEBRUARY 2026

All metrics benchmarked againstFebruary 2025

Total crashes in Westminster significantly decreased by 50% from 28 in February 2025 to 14 in February 2026. This period saw a notable reduction in single vehicle crashes, which dropped from 16 to 4 year-over-year. Additionally, DUI-related crashes decreased from 2 to 1, and no speeding-related crashes were reported in the current period compared to 3 in the prior period.

14

-50.0%was 28

Total Crash Events

0

Persons Killed

3

-40.0%was 5

Persons Injured

0

-100.0%was 2

Hit-and-Run Crashes

Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (0) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash incidents in Westminster showed a significant downward trend year-over-year, with total crashes decreasing by 50%. The number of crashes fell from 28 in February 2025 to 14 in February 2026, indicating a substantial improvement in traffic safety for the period.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

3

Motorists Injured

Prior: 5-40.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns of crashes shifted between the two periods. In February 2025, the peak day for crashes was Sunday with 9 incidents, and the peak hour was 7 PM with 3 crashes. By contrast, February 2026 saw Friday as the peak day with 4 crashes, and 8 AM as the peak hour, also with 3 crashes.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes or fatalities reported in either February 2025 or February 2026. Total injuries decreased from 5 in the prior period to 3 in the current period. Specifically, minor injuries decreased from 4 to 2, while possible injuries remained constant at 1.

Outcome by Severity (Crash Events)

Minor Injury2minor injury crashes14.3%
-50.0%prior 4
Possible Injury1possible injury crashes7.1%
0.0%prior 1
No Injury11no injury crashes78.6%
-52.2%prior 23

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Most severe injury per crash record

Top Contributing Factors

The top contributing factor, 'No improper driving', decreased by 2 crashes, from 8 in the prior period to 6 in the current period. Factors such as 'Disregarded traffic signs, signals, road markings' (3 crashes in prior), 'Driving too fast for conditions' (3 crashes in prior), 'Inattention' (2 crashes in prior), and 'Other improper action' (2 crashes in prior) were present in the prior period but not observed in the current period. Conversely, 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' increased by 1 crash, from 1 in the prior period to 2 in the current period, and 'Made an improper turn' and 'Failed to yield right of way' each accounted for 1 crash in the current period but were not listed as factors in the prior period.

Officer-Reported Primary Contributing Cause

No improper driving6 (42.9%)-25.0%prior 8
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (14.3%)
Visibility obstructed2 (14.3%)
Failure to keep in proper lane or running off road1 (7.1%)
Made an improper turn1 (7.1%)
Failed to yield right of way1 (7.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather decreased from 12 in the prior period to 7 in the current period, while those in 'Dark - roadway not lighted' conditions dropped significantly from 9 to 2. Regarding road surface conditions, crashes on 'Dry' surfaces decreased from 10 to 7, and crashes on 'Snow' decreased from 7 to 4. Notably, crashes on 'Ice' (5 in prior) and 'Wet' (4 in prior) surfaces were not reported in the current period, while crashes on 'Slush' surfaces increased from 2 to 3.

Weather

Clear7 (50.0%)
-41.7%prior 12
Snow3 (21.4%)
Cloudy1 (7.1%)
Cloudy/Snow1 (7.1%)
Sleet, hail (freezing rain or drizzle)/Cloudy1 (7.1%)
Snow/Cloudy1 (7.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Weather condition at time of crash

Lighting

Daylight10 (71.4%)
-41.2%prior 17
Dark - roadway not lighted2 (14.3%)
-77.8%prior 9
Dawn1 (7.1%)
Dusk1 (7.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Lighting condition field

Road Surface

Dry7 (50.0%)
-30.0%prior 10
Snow4 (28.6%)
-42.9%prior 7
Slush3 (21.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (25 vehicles)

1
TOYOTA5 (20%)
-44.4%prior 9
2
CHEVROLET3 (12%)
3
MAZDA2 (8%)
4
GMC1 (4%)
5
HONDA1 (4%)
6
HYUNDAI1 (4%)
7
ISU1 (4%)
8
JEEP1 (4%)
9
LEXUS1 (4%)
10
MITS1 (4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Vehicle unit records

1 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (27 persons with recorded sex)

Male17 (63.0%)
-50.0%prior 34
Female10 (37.0%)
-50.0%prior 20

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 30 mph zones decreased from 11 in the prior period to 4 in the current period, and crashes in 55 mph zones also saw a reduction from 5 to 1. Conversely, crashes in 40 mph zones increased from 3 to 5. No fatal crashes were recorded across any speed zones in either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Posted speed limit at crash location

Data Sources & Methodology

Primary Data Source

All crash data in this report is sourced from Massachusetts Crash Data (MassDOT CDV), accessed programmatically via the Arcgis_yearly 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_yearly 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: 2026-02-01 through 2026-02-28
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2026-02-01 through 2026-02-28 (28 days)
  • Geographic scope: WESTMINSTER, MA
  • Total crash records analyzed: 14
  • Total persons involved: 28
  • Total vehicles involved: 25

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). "WESTMINSTER, MA Crash Intelligence Report: February 2026." Published June 21, 2026. Reporting period: 2026-02-01 to 2026-02-28. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/westminster/february-2026-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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Westminster, MA Crash Report — February 2026 | ThatCarHitMe.com