Monthly Traffic Safety Analysis

39 CRASHES IN
WEST BRIDGEWATER, MA
DECEMBER 2025

All metrics benchmarked againstDecember 2024

In December 2025, WEST BRIDGEWATER experienced 39 total crashes, a decrease from 51 crashes in December 2024, representing a 23.5% reduction. Total injuries saw the most significant year-over-year shift, decreasing by 10 from 19 in the prior period to 9 in the current period, a 52.6% drop.

39

-23.5%was 51

Total Crash Events

0

Persons Killed

9

-52.6%was 19

Persons Injured

0

-100.0%was 6

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 · 2025-12-01 to 2025-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash incidents in WEST BRIDGEWATER decreased year-over-year. The total number of crashes fell from 51 in December 2024 to 39 in December 2025, marking a 23.5% reduction.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

9

Motorists Injured

Prior: 18-50.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · 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 slightly year-over-year; while Monday remained a peak day in both periods, Saturday, which was a peak day in December 2024 with 11 crashes, saw a notable decrease to only 2 crashes in December 2025. The peak hour for crashes shifted from 4 PM in the prior period (7 crashes) to 2 PM in the current period (7 crashes).

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes remained at 0 in both December 2024 and December 2025. Total injuries decreased significantly from 19 in the prior period to 9 in the current period, a 52.6% reduction. The proportion of minor injury crashes decreased from 21.6% (11 crashes) in the prior period to 17.9% (7 crashes) in the current period.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes2.6%
0.0%prior 1
Minor Injury7minor injury crashes17.9%
-36.4%prior 11
No Injury31no injury crashes79.5%
-16.2%prior 37

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Most severe injury per crash record

Top Contributing Factors

Several contributing factors saw changes in crash counts year-over-year. Crashes attributed to 'Followed too closely' decreased by 5, from 7 in December 2024 to 2 in December 2025, a 71.4% reduction. 'No improper driving' decreased by 3 crashes, from 11 to 8, a 27.3% reduction. Conversely, 'Driving too fast for conditions' and 'Made an improper turn' each increased by 1 crash, from 1 to 2, representing a 100% increase for both factors.

Officer-Reported Primary Contributing Cause

No improper driving8 (20.5%)-27.3%prior 11
Inattention7 (17.9%)0.0%prior 7
Failed to yield right of way7 (17.9%)-12.5%prior 8
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner3 (7.7%)
Made an improper turn2 (5.1%)
Followed too closely2 (5.1%)-71.4%prior 7
Driving too fast for conditions2 (5.1%)
Visibility obstructed2 (5.1%)
Disregarded traffic signs, signals, road markings1 (2.6%)
Failure to keep in proper lane or running off road1 (2.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring under 'Clear' weather conditions increased by 5, from 27 in December 2024 to 32 in December 2025. There was a notable decrease in crashes on 'Wet' road surfaces, falling by 12 from 16 in the prior period to 4 in the current period. Crashes occurring in 'Dark - roadway not lighted' conditions also decreased significantly, from 11 in the prior period to 2 in the current period.

Weather

Clear32 (82.1%)
18.5%prior 27
Cloudy2 (5.1%)
Rain/Rain1 (2.6%)
Rain/Severe crosswinds1 (2.6%)
Snow1 (2.6%)
Rain/Cloudy1 (2.6%)
Clear/Clear1 (2.6%)
-85.7%prior 7

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Weather condition at time of crash

Lighting

Daylight24 (61.5%)
-4.0%prior 25
Dark - lighted roadway9 (23.1%)
-25.0%prior 12
Dark - roadway not lighted2 (5.1%)
-81.8%prior 11
Dawn2 (5.1%)
Dusk2 (5.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Lighting condition field

Road Surface

Dry35 (89.7%)
2.9%prior 34
Wet4 (10.3%)
-75.0%prior 16

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased by 21, from 93 in December 2024 to 72 in December 2025, a 22.6% reduction. Toyota remained the top vehicle make involved, though its count decreased from 20 to 14. Among persons involved, the '26-34' age group saw the largest decrease, with 11 fewer individuals involved (from 23 to 12).

Top Vehicle Makes (72 vehicles)

1
TOYOTA14 (19.4%)
-30.0%prior 20
2
FORD9 (12.5%)
-10.0%prior 10
3
CHEVROLET7 (9.7%)
16.7%prior 6
4
NISSAN6 (8.3%)
-14.3%prior 7
5
HONDA4 (5.6%)
-20.0%prior 5
6
GMC4 (5.6%)
7
JEEP3 (4.2%)
8
MAZDA3 (4.2%)
9
KIA3 (4.2%)
-40.0%prior 5
10
VOLKSWAGEN2 (2.8%)
-60.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Vehicle unit records

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

Sex Distribution (81 persons with recorded sex)

Male47 (58.0%)
-24.2%prior 62
Female34 (42.0%)
-19.0%prior 42

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 35 mph speed limit zone, which accounted for the most crashes in both periods, decreased from 22 in December 2024 to 18 in December 2025. Crashes in the 65 mph speed limit zone saw a substantial decrease, falling from 10 in the prior period to 2 in the current period. No fatal crashes were reported in any speed limit zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · 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: 2025-12-01 through 2025-12-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-12-01 through 2025-12-31 (31 days)
  • Geographic scope: WEST BRIDGEWATER, MA
  • Total crash records analyzed: 39
  • Total persons involved: 83
  • Total vehicles involved: 72

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). "WEST BRIDGEWATER, MA Crash Intelligence Report: December 2025." Published June 21, 2026. Reporting period: 2025-12-01 to 2025-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/west-bridgewater/december-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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West Bridgewater, MA Crash Report — December 2025 | ThatCarHitMe.com