Monthly Traffic Safety Analysis

48 CRASHES IN
WEST BRIDGEWATER, MA
DECEMBER 2023

All metrics benchmarked againstDecember 2022

In December 2023, WEST BRIDGEWATER experienced 48 crashes, an increase of 23.1% compared to the 39 crashes reported in December 2022. A significant positive shift was the absence of fatalities in December 2023, down from one fatality in December 2022. Total injuries also saw a slight increase, rising from 19 to 22 year-over-year.

48

23.1%was 39

Total Crash Events

0

-100.0%was 1

Persons Killed

22

15.8%was 19

Persons Injured

3

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 · 2023-12-01 to 2023-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates a rise in crash incidents in WEST BRIDGEWATER, with total crashes increasing by 9, or 23.1%, from December 2022 to December 2023. While overall crash numbers increased, the most severe outcome, fatalities, decreased to zero in the current period.

3

Hit-and-Run Crashes — December 2023

6.3% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 1-100.0%

22

Motorists Injured

Prior: 1915.8%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · 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 from Wednesday with 9 crashes in December 2022 to Monday with 11 crashes in December 2023. The peak hour for crashes remained 5 PM in both periods, with the count increasing from 5 crashes in December 2022 to 7 crashes in December 2023.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities decreased from 1 in December 2022 to 0 in December 2023. Serious injury crashes remained constant at 1 in both periods, while minor injury crashes increased from 7 to 9. The proportion of crashes resulting in no injury increased from 69.2% to 72.9% year-over-year.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes2.1%
0.0%prior 1
Minor Injury9minor injury crashes18.8%
28.6%prior 7
Possible Injury3possible injury crashes6.3%
0.0%prior 3
No Injury35no injury crashes72.9%
29.6%prior 27

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Most severe injury per crash record

Top Contributing Factors

The top contributing factor, 'No improper driving', increased in count from 11 to 15 crashes, a 36.4% rise. 'Inattention' crashes saw a substantial increase from 3 to 8, a 166.7% change in count, and 'Followed too closely' crashes also rose significantly from 2 to 8, a 300% change in count. Conversely, 'Failed to yield right of way' crashes decreased from 9 to 6, a 33.3% reduction in count.

Officer-Reported Primary Contributing Cause

No improper driving15 (31.3%)36.4%prior 11
Inattention8 (16.7%)
Followed too closely8 (16.7%)
Failed to yield right of way6 (12.5%)-33.3%prior 9
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway2 (4.2%)
Illness1 (2.1%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (2.1%)
Other improper action1 (2.1%)
Over-correcting/over-steering1 (2.1%)
Disregarded traffic signs, signals, road markings1 (2.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Rain' conditions increased from 4 in December 2022 to 9 in December 2023, while crashes on 'Wet' road surfaces nearly doubled from 10 to 19. The number of crashes during 'Daylight' increased from 17 to 21, and those occurring in 'Dark - lighted roadway' conditions increased from 11 to 15.

Weather

Clear30 (62.5%)
11.1%prior 27
Rain9 (18.8%)
Cloudy/Rain3 (6.3%)
Cloudy2 (4.2%)
Rain/Severe crosswinds2 (4.2%)
Fog, smog, smoke1 (2.1%)
Clear/Fog, smog, smoke1 (2.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Weather condition at time of crash

Lighting

Daylight21 (43.8%)
23.5%prior 17
Dark - lighted roadway15 (31.3%)
36.4%prior 11
Dark - roadway not lighted9 (18.8%)
80.0%prior 5
Dawn2 (4.2%)
Dark - unknown roadway lighting1 (2.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Lighting condition field

Road Surface

Dry29 (60.4%)
0.0%prior 29
Wet19 (39.6%)
90.0%prior 10

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Road surface condition field

Vehicles & Demographics

The total number of persons involved in crashes increased from 84 to 145 year-over-year. Notable shifts in age group representation include a rise in the 0-15 age group from 4 to 23 and the 16-20 age group from 6 to 21. Among top vehicle makes, Toyota remained the most frequently involved, decreasing slightly from 16 to 15, while Hyundai's involvement increased from 3 to 11.

Top Vehicle Makes (93 vehicles)

1
TOYOTA15 (16.1%)
-6.3%prior 16
2
FORD11 (11.8%)
10.0%prior 10
3
HYUNDAI11 (11.8%)
4
CHEVROLET9 (9.7%)
5
HONDA8 (8.6%)
-11.1%prior 9
6
NISSAN8 (8.6%)
14.3%prior 7
7
DODGE4 (4.3%)
8
MAZDA3 (3.2%)
9
JEEP3 (3.2%)
10
FRHT2 (2.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Vehicle unit records

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

Sex Distribution (133 persons with recorded sex)

Male76 (57.1%)
72.7%prior 44
Female57 (42.9%)
50.0%prior 38

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 35 MPH speed zones increased from 13 in December 2022 to 18 in December 2023. Crashes in 65 MPH zones also increased from 8 to 10. The prior period recorded one fatal crash in a 65 MPH zone, while no fatal crashes were reported across any speed zone in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · 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: 2023-12-01 through 2023-12-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-12-01 through 2023-12-31 (31 days)
  • Geographic scope: WEST BRIDGEWATER, MA
  • Total crash records analyzed: 48
  • Total persons involved: 145
  • Total vehicles involved: 93

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 2023." Published June 21, 2026. Reporting period: 2023-12-01 to 2023-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/west-bridgewater/december-2023-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 2023 | ThatCarHitMe.com