Monthly Traffic Safety Analysis

12 CRASHES IN
WESTMINSTER, MA
MAY 2025

All metrics benchmarked againstMay 2024

In May 2025, WESTMINSTER experienced 12 total crashes, a 100% increase compared to the 6 crashes recorded in May 2024. The most notable shift is the rise in total crashes and the occurrence of one fatal crash in May 2025, where there were no fatalities in the prior period.

12

100.0%was 6

Total Crash Events

1

Persons Killed

2

100.0%was 1

Persons Injured

1

Fatal Crash Events

Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) 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 · 2025-05-01 to 2025-05-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash trends in WESTMINSTER show a significant increase year-over-year, with total crashes rising by 100% from 6 in May 2024 to 12 in May 2025. This period also saw a rise in total fatalities from 0 to 1 and total injuries from 1 to 2, representing a 100% increase in both categories.

Vulnerable Road User Casualties

1

Motorists Killed

Prior: 0%

2

Motorists Injured

Prior: 1100.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

Temporal patterns show a shift in peak crash activity year-over-year. The peak day for crashes moved from Wednesday with 2 crashes in May 2024 to Thursday with 4 crashes in May 2025. Additionally, the peak hour for crashes shifted from 11p with 1 crash in May 2024 to 4p with 2 crashes in May 2025.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Crash severity distribution changed significantly, with May 2025 recording 1 fatal crash (8.3% of total crashes) compared to zero fatal crashes in May 2024. While serious injury crashes remained at 1 in both periods, their share decreased from 16.7% to 8.3% of total crashes. Minor injury crashes appeared in May 2025 with 1 crash (8.3%), whereas there were none in May 2024.

Outcome by Severity (Crash Events)

Fatal1fatal crashes8.3%
Serious Injury1serious injury crashes8.3%
0.0%prior 1
Minor Injury1minor injury crashes8.3%
No Injury9no injury crashes75%
80.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Most severe injury per crash record

Top Contributing Factors

The count of crashes attributed to 'No improper driving' remained stable at 3 in both May 2024 and May 2025, though its share decreased from 50% to 25% of total crashes. Similarly, 'Inattention' also remained stable at 1 crash in both periods, with its share decreasing from 16.7% to 8.3%. Factors such as 'Distracted' and 'Failed to yield right of way' appeared in May 2025 with 1 crash each, while 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' was present with 1 crash in May 2024 but not in May 2025.

Officer-Reported Primary Contributing Cause

No improper driving3 (25%)
Distracted1 (8.3%)
Failed to yield right of way1 (8.3%)
Inattention1 (8.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions increased from 4 in May 2024 to 6 in May 2025, and crashes in 'Rain' conditions also increased from 1 to 3. A notable shift occurred in lighting conditions, with crashes during 'Daylight' increasing significantly from 3 to 10. Conversely, crashes in 'Dark - roadway not lighted' conditions decreased from 3 to 1. Crashes on 'Dry' road surfaces increased from 4 to 8, and on 'Wet' surfaces from 2 to 4.

Weather

Clear6 (50.0%)
Rain3 (25.0%)
Cloudy1 (8.3%)
Cloudy/Rain1 (8.3%)
Fog, smog, smoke/Rain1 (8.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Weather condition at time of crash

Lighting

Daylight10 (83.3%)
Dark - lighted roadway1 (8.3%)
Dark - roadway not lighted1 (8.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Lighting condition field

Road Surface

Dry8 (66.7%)
Wet4 (33.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (20 vehicles)

1
CHEVROLET4 (20%)
2
SUBARU2 (10%)
3
FORD2 (10%)
4
HYUNDAI2 (10%)
5
LEXUS1 (5%)
6
LOAD1 (5%)
7
NISSAN1 (5%)
8
SUZI1 (5%)
9
TOYOTA1 (5%)
10
CADI1 (5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Vehicle unit records

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

Sex Distribution (22 persons with recorded sex)

Male13 (59.1%)
116.7%prior 6
Female9 (40.9%)
80.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 30 MPH zones increased from 2 in May 2024 to 3 in May 2025, and crashes in 55 MPH zones also increased from 2 to 3. The 40 MPH zone remained stable with 1 crash in both periods. Notably, 3 crashes, including the single fatal crash, occurred in 45 MPH zones in May 2025, a speed zone not present in the prior period's crash data.

Fatal crashes by zone: 45 mph: 1 of 3 (33.333%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · 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: 2025-05-01 through 2025-05-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-05-01 through 2025-05-31 (31 days)
  • Geographic scope: WESTMINSTER, MA
  • Total crash records analyzed: 12
  • Total persons involved: 23
  • Total vehicles involved: 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). "WESTMINSTER, MA Crash Intelligence Report: May 2025." Published June 21, 2026. Reporting period: 2025-05-01 to 2025-05-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/westminster/may-2025-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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