Monthly Traffic Safety Analysis

7 CRASHES IN
BECKET, MA
MAY 2025

All metrics benchmarked againstMay 2024

In May 2025, BECKET experienced 7 total crashes, a 12.5% decrease compared to the 8 crashes recorded in May 2024. The most notable year-over-year shift was a significant increase in crashes occurring on wet road surfaces, which more than doubled, while crashes on dry surfaces decreased substantially.

7

-12.5%was 8

Total Crash Events

0

Persons Killed

1

Persons Injured

1

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 · 2025-05-01 to 2025-05-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Total crashes decreased from 8 in May 2024 to 7 in May 2025, representing a 12.5% reduction year-over-year. Fatalities remained at zero in both periods, and the total number of injured persons held steady at 1.

1

Hit-and-Run Crashes — May 2025

14.3% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

1

Motorists Injured

Prior: 10.0%

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

The peak crash days remained Sunday and Saturday in both May 2024 and May 2025, each recording 2 crashes. However, the peak hour for crashes shifted from 4p in May 2024 to 4a in May 2025, with both periods experiencing 2 crashes at their respective peak hours.

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

Fatal crashes remained at zero in both May 2024 and May 2025. The total number of injured persons also remained consistent at 1 for both periods. The reported injury severity for the single injured person shifted from a 'Possible Injury' in May 2024 to a 'Serious Injury' in May 2025.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes14.3%
No Injury6no injury crashes85.7%
0.0%prior 6

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

'No improper driving' decreased by 1 crash, from 4 in May 2024 to 3 in May 2025. Conversely, 'Driving too fast for conditions' increased by 1 crash, from 1 in May 2024 to 2 in May 2025. Factors like 'Exceeded authorized speed limit,' 'Fatigued/asleep,' and 'Over-correcting/over-steering' were each associated with 1 crash in May 2024 but were not present in May 2025.

Officer-Reported Primary Contributing Cause

No improper driving3 (42.9%)
Driving too fast for conditions2 (28.6%)

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 on 'Wet' road surfaces increased from 2 in May 2024 to 5 in May 2025, while crashes on 'Dry' surfaces decreased from 6 to 2 over the same period. The number of crashes reported under 'Clear' weather conditions decreased from 6 in May 2024 to zero, while 'Clear/Clear' conditions accounted for 2 crashes in May 2025. Crashes occurring in rainy or cloudy-rainy conditions collectively increased from 2 in May 2024 to 4 in May 2025.

Weather

Clear/Clear2 (28.6%)
Rain/Rain2 (28.6%)
Cloudy1 (14.3%)
Cloudy/Rain1 (14.3%)
Rain/Cloudy1 (14.3%)

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

Lighting

Daylight4 (57.1%)
-20.0%prior 5
Dark - roadway not lighted2 (28.6%)
Dawn1 (14.3%)

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

Road Surface

Wet5 (71.4%)
Dry2 (28.6%)
-66.7%prior 6

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 (9 vehicles)

1
CHEVROLET2 (22.2%)
2
BMW1 (11.1%)
3
MAZDA1 (11.1%)
4
TOYOTA1 (11.1%)
5
HONDA1 (11.1%)
6
FORD1 (11.1%)

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

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

Sex Distribution (13 persons with recorded sex)

Male9 (69.2%)
80.0%prior 5
Female4 (30.8%)
-20.0%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 occurring in 65 mph zones decreased from 5 in May 2024 to 4 in May 2025. Crashes at 45 mph remained stable with 1 incident in both periods. Lower speed zones (25 mph and 30 mph, each with 1 crash) were observed in May 2024 but not in May 2025, while 40 mph and 50 mph zones (each with 1 crash) appeared in May 2025 but not in the prior year. No fatal crashes were reported in any speed zone during either period.

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: BECKET, MA
  • Total crash records analyzed: 7
  • Total persons involved: 16
  • Total vehicles involved: 9

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). "BECKET, 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/becket/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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Becket, MA Crash Report — May 2025 | ThatCarHitMe.com