Monthly Traffic Safety Analysis

10 CRASHES IN
WESTMINSTER, MA
MARCH 2025

All metrics benchmarked againstMarch 2024

Current period (March 2025) saw 10 total crashes, a 50% decrease compared to the 20 total crashes in the prior period (March 2024). This reduction was accompanied by a significant drop in fatalities, from 1 in the prior period to 0 in the current period. The overall trend indicates a substantial improvement in crash safety for the current month year-over-year.

10

-50.0%was 20

Total Crash Events

0

-100.0%was 1

Persons Killed

2

-50.0%was 4

Persons Injured

0

-100.0%was 1

Fatal Crash Events

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 · 2025-03-01 to 2025-03-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall crash activity in Westminster decreased significantly year-over-year, with total crashes falling by 50% from 20 in March 2024 to 10 in March 2025. This reduction also included a decrease in total fatalities, from 1 in March 2024 to 0 in March 2025. The data indicates a clear downward trend in crash incidents.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

2

Motorists Injured

Prior: 4-50.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes shifted from Saturday in March 2024 (8 crashes) to Thursday in March 2025 (3 crashes). Similarly, the peak crash hour changed from 11p in March 2024 (3 crashes) to 8a in March 2025 (2 crashes). While the prior period showed higher crash counts on weekends, the current period's crashes were more evenly distributed across weekdays.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes decreased from 1 in March 2024 to 0 in March 2025, representing a 5% fatal crash rate in the prior period and 0% in the current period. Minor injury crashes accounted for 20% of total crashes in both periods, with 4 minor injury crashes in March 2024 and 2 in March 2025. The proportion of no injury crashes slightly increased from 75% in March 2024 to 80% in March 2025.

Outcome by Severity (Crash Events)

Minor Injury2minor injury crashes20%
-50.0%prior 4
No Injury8no injury crashes80%
-46.7%prior 15

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Most severe injury per crash record

Top Contributing Factors

The contributing factor 'No improper driving' decreased from 7 crashes in March 2024 to 2 crashes in March 2025, a 71.4% reduction in count. Conversely, 'Failed to yield right of way' increased from 1 crash in March 2024 to 2 crashes in March 2025, a 100% increase in count. Factors such as 'Driving too fast for conditions' (3 crashes) and 'Inattention' (2 crashes) were present in March 2024 but not observed in March 2025.

Officer-Reported Primary Contributing Cause

No improper driving2 (20%)-71.4%prior 7
Failed to yield right of way2 (20%)
Glare1 (10%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (10%)
Over-correcting/over-steering1 (10%)
Distracted1 (10%)
Followed too closely1 (10%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Daylight' conditions decreased from 12 in March 2024 to 8 in March 2025. Crashes on 'Dry' road surfaces also saw a slight decrease, from 9 in March 2024 to 8 in March 2025. The prior period recorded crashes in adverse road conditions such as 'Ice' (6 crashes), 'Slush' (1 crash), and 'Snow' (1 crash), which were not present in the current period.

Weather

Clear7 (70.0%)
40.0%prior 5
Clear/Clear2 (20.0%)
Rain/Cloudy1 (10.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Weather condition at time of crash

Lighting

Daylight8 (80.0%)
-33.3%prior 12
Dawn1 (10.0%)
Dusk1 (10.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Lighting condition field

Road Surface

Dry8 (80.0%)
-11.1%prior 9
Sand, mud, dirt, oil, gravel1 (10.0%)
Wet1 (10.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (15 vehicles)

1
JEEP2 (13.3%)
2
TOYOTA2 (13.3%)
-66.7%prior 6
3
RAM2 (13.3%)
4
HONDA1 (6.7%)
5
HYUNDAI1 (6.7%)
6
NISSAN1 (6.7%)
7
PORSCHE1 (6.7%)
8
SUBARU1 (6.7%)
9
CHRYSLER1 (6.7%)
10
VOLKSWAGEN1 (6.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Vehicle unit records

Sex Distribution (16 persons with recorded sex)

Male9 (56.3%)
-65.4%prior 26
Female7 (43.8%)
-50.0%prior 14

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes occurring in 35 mph zones decreased from 6 in March 2024 to 3 in March 2025, while crashes in 40 mph zones decreased from 4 to 1. Crashes in 55 mph zones also saw a reduction from 4 to 2, and crashes in 30 mph zones remained constant at 3. The prior period included 3 crashes in 45 mph zones, one of which was fatal, a speed zone not observed in the current period's data, while the current period recorded 1 crash in a 20 mph zone not present in the prior period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-03-01 to 2025-03-31 · 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: 2025-03-01 through 2025-03-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-03-01 through 2025-03-31 (31 days)
  • Geographic scope: WESTMINSTER, MA
  • Total crash records analyzed: 10
  • Total persons involved: 16
  • Total vehicles involved: 15

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: March 2025." Published June 21, 2026. Reporting period: 2025-03-01 to 2025-03-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/westminster/march-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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Westminster, MA Crash Report — March 2025 | ThatCarHitMe.com