Monthly Traffic Safety Analysis

40 CRASHES IN
WEST BRIDGEWATER, MA
JUNE 2023

All metrics benchmarked againstJune 2022

In June 2023, WEST BRIDGEWATER recorded 40 total crashes, an 8.1% increase from the 37 crashes reported in June 2022. The most significant year-over-year shift was a decrease in fatalities, with 0 reported in the current period compared to 1 in the prior period.

40

8.1%was 37

Total Crash Events

0

-100.0%was 1

Persons Killed

10

66.7%was 6

Persons Injured

1

-50.0%was 2

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

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates a slight increase in total crashes, rising from 37 to 40 year-over-year. Concurrently, total injuries increased by 66.7%, from 6 to 10. Positively, fatalities decreased from 1 in June 2022 to 0 in June 2023.

1

Hit-and-Run Crashes — June 2023

-50.0% vs prior (2)

Hit-and-run crashes decreased from 2 in June 2022 to 1 in June 2023. This change resulted in the hit-and-run crash rate decreasing from 5.4% to 2.5% year-over-year.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 1-100.0%

10

Motorists Injured

Prior: 666.7%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · 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 Wednesday with 8 crashes in June 2022 to Friday with 10 crashes in June 2023. The peak hour also changed, moving from 3 p.m. with 4 crashes in the prior period to 4 p.m. with 7 crashes in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes decreased from 1 in June 2022 to 0 in June 2023. Crashes resulting in minor injuries decreased from 3 to 2, while crashes with possible injuries increased from 1 to 4. The total number of injured persons increased from 6 to 10 year-over-year.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes2.5%
0.0%prior 1
Minor Injury2minor injury crashes5%
-33.3%prior 3
Possible Injury4possible injury crashes10%
300.0%prior 1
No Injury31no injury crashes77.5%
3.3%prior 30

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Most severe injury per crash record

Top Contributing Factors

Crashes attributed to 'No improper driving' decreased from 16 (43.2% share) to 13 (32.5% share), a drop of 3 crashes. Conversely, 'Inattention' crashes increased from 8 (21.6% share) to 10 (25% share), an increase of 2 crashes. Crashes involving 'Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway' also increased from 1 to 3.

Officer-Reported Primary Contributing Cause

No improper driving13 (32.5%)-18.8%prior 16
Inattention10 (25%)25.0%prior 8
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway3 (7.5%)
Visibility obstructed3 (7.5%)
Failed to yield right of way2 (5%)
Operating defective equipment1 (2.5%)
Fatigued/asleep1 (2.5%)
Made an improper turn1 (2.5%)
Distracted1 (2.5%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (2.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions decreased from 34 to 31, while those in 'Rain' increased from 2 to 5. The number of crashes in 'Daylight' conditions increased from 30 to 36. Crashes on 'Wet' road surfaces increased from 3 to 8, contrasting with a slight decrease in 'Dry' surface crashes from 34 to 32.

Weather

Clear31 (77.5%)
-8.8%prior 34
Rain5 (12.5%)
Cloudy4 (10.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Weather condition at time of crash

Lighting

Daylight36 (90.0%)
20.0%prior 30
Dark - lighted roadway2 (5.0%)
Dawn1 (2.5%)
Dusk1 (2.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Lighting condition field

Road Surface

Dry32 (80.0%)
-5.9%prior 34
Wet8 (20.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Road surface condition field

Vehicles & Demographics

The total number of persons involved in crashes increased from 72 to 84. The 0-15 age group saw a notable increase from 1 to 6 persons, and the 21-25 age group increased from 7 to 12 persons. Toyota remained the most common vehicle make involved, with its count rising from 11 to 16 vehicles.

Top Vehicle Makes (70 vehicles)

1
TOYOTA16 (22.9%)
45.5%prior 11
2
HONDA9 (12.9%)
28.6%prior 7
3
CHEVROLET8 (11.4%)
4
FORD7 (10%)
5
NISSAN4 (5.7%)
6
VOLKSWAGEN3 (4.3%)
7
BMW3 (4.3%)
8
SUBARU2 (2.9%)
9
MERCEDES-BENZ2 (2.9%)
10
GMC2 (2.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Vehicle unit records

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

Sex Distribution (78 persons with recorded sex)

Male43 (55.1%)
7.5%prior 40
Female35 (44.9%)
45.8%prior 24

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes occurring in 35 mph zones increased significantly from 14 to 22. In contrast, crashes in 65 mph zones decreased by half, from 12 to 6. The 20 mph speed zone, which recorded 1 fatal crash in the prior period, had 1 crash with no fatalities in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · 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: 2023-06-01 through 2023-06-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-06-01 through 2023-06-30 (30 days)
  • Geographic scope: WEST BRIDGEWATER, MA
  • Total crash records analyzed: 40
  • Total persons involved: 84
  • Total vehicles involved: 70

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: June 2023." Published June 21, 2026. Reporting period: 2023-06-01 to 2023-06-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/west-bridgewater/june-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

ThatCarHitMe.com · An Injuria.ai Company

West Bridgewater, MA Crash Report — June 2023 | ThatCarHitMe.com