Monthly Traffic Safety Analysis

12 CRASHES IN
WESTMINSTER, MA
APRIL 2025

All metrics benchmarked againstApril 2024

Total crashes in WESTMINSTER decreased by 40% year-over-year, falling from 20 in April 2024 to 12 in April 2025. Despite this reduction in crash volume, the number of injuries increased by 200%, rising from 1 injury in the prior period to 3 injuries in the current period, indicating a notable shift towards more injury-involved crashes. There were no fatalities reported in either period.

12

-40.0%was 20

Total Crash Events

0

Persons Killed

3

200.0%was 1

Persons Injured

0

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 · 2025-04-01 to 2025-04-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash events in WESTMINSTER decreased year-over-year, with total crashes falling by 40% from 20 in April 2024 to 12 in April 2025. Conversely, total injuries saw a significant increase, rising by 200% from 1 injury in April 2024 to 3 injuries in April 2025.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

3

Motorists Injured

Prior: 1200.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · 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 Tuesday in April 2024, with 5 crashes, to Saturday in April 2025, with 6 crashes. The peak hour also changed, moving from 7 p.m. in April 2024 to 9 a.m. in April 2025, though both peak hours recorded 3 crashes.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes or fatalities in either April 2024 or April 2025. However, the proportion of crashes resulting in minor injuries increased significantly, with 3 minor injury crashes accounting for 25% of total crashes in April 2025, up from 1 minor injury crash representing 5% of total crashes in April 2024. Consequently, crashes with no injury decreased from 95% to 75% of the total.

Outcome by Severity (Crash Events)

Minor Injury3minor injury crashes25%
200.0%prior 1
No Injury9no injury crashes75%
-52.6%prior 19

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Most severe injury per crash record

Top Contributing Factors

The count of 'No improper driving' as a contributing factor decreased by 57.1%, from 7 crashes in April 2024 to 3 crashes in April 2025. Crashes attributed to 'Inattention' also decreased by 50% in count, from 4 to 2 crashes. Conversely, crashes where 'Exceeded authorized speed limit' was a factor doubled, increasing by 100% from 1 crash in April 2024 to 2 crashes in April 2025. 'Driving too fast for conditions,' a factor in 2 crashes in April 2024, was not among the top contributing factors in April 2025.

Officer-Reported Primary Contributing Cause

No improper driving3 (25%)-57.1%prior 7
Exceeded authorized speed limit2 (16.7%)
Inattention2 (16.7%)
Distracted1 (8.3%)
Made an improper turn1 (8.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather conditions decreased from 12 in April 2024 to 7 in April 2025. Similarly, crashes on dry road surfaces fell from 13 to 8 year-over-year, and those in daylight decreased from 11 to 9. Crashes on snowy roads increased from 2 in April 2024 to 3 in April 2025, while crashes in 'Dark - roadway not lighted' decreased from 5 to 1.

Weather

Clear7 (58.3%)
-41.7%prior 12
Snow3 (25.0%)
Cloudy1 (8.3%)
Snow/Sleet, hail (freezing rain or drizzle)1 (8.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Weather condition at time of crash

Lighting

Daylight9 (75.0%)
-18.2%prior 11
Dark - roadway not lighted1 (8.3%)
-80.0%prior 5
Dark - unknown roadway lighting1 (8.3%)
Dusk1 (8.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Lighting condition field

Road Surface

Dry8 (66.7%)
-38.5%prior 13
Snow3 (25.0%)
Wet1 (8.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (16 vehicles)

1
FORD4 (25%)
-42.9%prior 7
2
TOYOTA3 (18.8%)
-40.0%prior 5
3
HYUNDAI2 (12.5%)
4
JEEP2 (12.5%)
5
SUBARU2 (12.5%)
6
MAZDA1 (6.3%)
7
NISSAN1 (6.3%)
8
FRHT1 (6.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Vehicle unit records

Sex Distribution (16 persons with recorded sex)

Male12 (75.0%)
-55.6%prior 27
Female4 (25.0%)
-66.7%prior 12

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Person-level records linked to crash events

Speed Limit Zones

No fatal crashes were reported in any speed zone for either period. Crashes occurring in 30 mph zones decreased by 33.3%, from 6 in April 2024 to 4 in April 2025. Crashes in 55 mph zones also saw a 33.3% decrease, falling from 6 to 4 crashes. Conversely, crashes in 35 mph zones increased by 50%, from 2 to 3 crashes year-over-year. Speed limits of 40 mph (3 crashes) and 45 mph (2 crashes) were associated with crashes in April 2024 but not in April 2025.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · 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: 2025-04-01 through 2025-04-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-04-01 through 2025-04-30 (30 days)
  • Geographic scope: WESTMINSTER, MA
  • Total crash records analyzed: 12
  • Total persons involved: 16
  • Total vehicles involved: 16

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: April 2025." Published June 21, 2026. Reporting period: 2025-04-01 to 2025-04-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/westminster/april-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 — April 2025 | ThatCarHitMe.com