Monthly Traffic Safety Analysis

52 CRASHES IN
WEST BRIDGEWATER, MA
NOVEMBER 2023

All metrics benchmarked againstNovember 2022

Total crashes in WEST BRIDGEWATER in November 2023 were 52, a decrease of 5.5% from the 55 crashes reported in November 2022. A notable positive shift was the absence of fatalities in the current period, compared to one fatality in the prior year. However, total injuries increased by 50.0% year-over-year.

52

-5.5%was 55

Total Crash Events

0

-100.0%was 1

Persons Killed

27

50.0%was 18

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. 3 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-11-01 to 2023-11-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, total crashes in November 2023 decreased by 5.5% compared to November 2022, from 55 to 52. Fatalities saw a positive trend, decreasing from 1 in the prior period to 0 in the current period. Conversely, total injuries increased by 50.0%, rising from 18 to 27.

3

Hit-and-Run Crashes — November 2023

0.0% vs prior (3)

The number of hit-and-run crashes remained stable at 3 in both November 2022 and November 2023. The hit-and-run crash rate slightly increased from 5.5% in the prior period to 5.8% in the current period.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 1-100.0%

27

Motorists Injured

Prior: 1850.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-11-01 to 2023-11-30 · 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 November 2022, which had 14 crashes, to Wednesday in November 2023, with 13 crashes. The peak hour also changed, moving from 3 p.m. in the prior period (6 crashes) to 5 p.m. in the current period (7 crashes).

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-11-01 to 2023-11-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-11-01 to 2023-11-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities decreased from 1 in November 2022 to 0 in November 2023. Serious injuries increased from 1 in the prior period to 3 in the current period, while minor injuries increased from 6 to 10. The proportion of crashes resulting in no injury decreased from 81.8% in November 2022 to 69.2% in November 2023.

Outcome by Severity (Crash Events)

Serious Injury3serious injury crashes5.8%
200.0%prior 1
Minor Injury10minor injury crashes19.2%
66.7%prior 6
No Injury36no injury crashes69.2%
-20.0%prior 45

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-11-01 to 2023-11-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-11-01 to 2023-11-30 · Most severe injury per crash record

Top Contributing Factors

Crashes attributed to 'No improper driving' decreased by 8, from 23 in November 2022 to 15 in November 2023. 'Inattention' crashes saw a significant decrease from 10 to 3, while crashes due to 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' increased from 1 to 5. 'Failed to yield right of way' crashes increased from 6 to 8.

Officer-Reported Primary Contributing Cause

No improper driving15 (28.8%)-34.8%prior 23
Failed to yield right of way8 (15.4%)33.3%prior 6
Followed too closely6 (11.5%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner5 (9.6%)
Inattention3 (5.8%)-70.0%prior 10
Failure to keep in proper lane or running off road2 (3.8%)
Over-correcting/over-steering2 (3.8%)
Disregarded traffic signs, signals, road markings1 (1.9%)
Distracted1 (1.9%)
Fatigued/asleep1 (1.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-11-01 to 2023-11-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Clear weather conditions remained the most frequent, though the count decreased from 51 crashes in November 2022 to 46 in November 2023. Crashes occurring in 'Dark - lighted roadway' conditions increased from 11 in the prior period to 18 in the current period. The number of crashes on wet road surfaces decreased from 4 to 2.

Weather

Clear46 (88.5%)
-9.8%prior 51
Cloudy4 (7.7%)
Fog, smog, smoke1 (1.9%)
Rain1 (1.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-11-01 to 2023-11-30 · Weather condition at time of crash

Lighting

Daylight27 (51.9%)
-15.6%prior 32
Dark - lighted roadway18 (34.6%)
63.6%prior 11
Dark - roadway not lighted5 (9.6%)
Dawn2 (3.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-11-01 to 2023-11-30 · Lighting condition field

Road Surface

Dry50 (96.2%)
-2.0%prior 51
Wet2 (3.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-11-01 to 2023-11-30 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased from 106 in November 2022 to 100 in November 2023. Honda, which was the top make in the prior period with 21 vehicles, saw a decrease to 8 vehicles, while Ford remained a top make with 13 vehicles in both periods. There was a notable decrease in persons aged 0-15 involved in crashes, from 31 to 6, and a decrease in persons aged 16-20 from 20 to 4.

Top Vehicle Makes (100 vehicles)

1
FORD13 (13%)
-7.1%prior 14
2
TOYOTA11 (11%)
0.0%prior 11
3
NISSAN9 (9%)
-30.8%prior 13
4
CHEVROLET9 (9%)
0.0%prior 9
5
JEEP9 (9%)
6
HYUNDAI9 (9%)
7
HONDA8 (8%)
-61.9%prior 21
8
BMW6 (6%)
9
GMC3 (3%)
10
KIA3 (3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-11-01 to 2023-11-30 · Vehicle unit records

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

Sex Distribution (116 persons with recorded sex)

Male74 (63.8%)
-28.8%prior 104
Female42 (36.2%)
-16.0%prior 50

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-11-01 to 2023-11-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 65 mph speed limit zone increased slightly from 15 to 16, but fatalities in this zone decreased from 1 to 0. Crashes in the 35 mph zone saw a significant decrease from 21 in November 2022 to 10 in November 2023. The 40 mph zone remained stable with 10 crashes in both periods.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-11-01 to 2023-11-30 · 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: 2023-11-01 through 2023-11-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-11-01 through 2023-11-30 (30 days)
  • Geographic scope: WEST BRIDGEWATER, MA
  • Total crash records analyzed: 52
  • Total persons involved: 125
  • Total vehicles involved: 100

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: November 2023." Published June 21, 2026. Reporting period: 2023-11-01 to 2023-11-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/west-bridgewater/november-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 — November 2023 | ThatCarHitMe.com