Monthly Traffic Safety Analysis

29 CRASHES IN
WEST BRIDGEWATER, MA
MAY 2023

All metrics benchmarked againstMay 2022

In May 2023, WEST BRIDGEWATER experienced 29 crashes, a decrease of 32.6% compared to 43 crashes in May 2022. Fatalities increased from 0 in May 2022 to 1 in May 2023, representing the most significant year-over-year shift. Total injuries also decreased by 28.6%, from 7 to 5.

29

▼ -32.6%was 43

Total Crash Events

1

Persons Killed

5

▼ -28.6%was 7

Persons Injured

0

▼ -100.0%was 2

Hit-and-Run Crashes

Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) 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 · 2023-05-01 to 2023-05-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash incidents in WEST BRIDGEWATER decreased by 32.6% year-over-year, from 43 crashes in May 2022 to 29 crashes in May 2023. Despite this reduction in total crashes, the number of fatalities rose from 0 to 1 during the same period. Injuries also saw a decrease, falling from 7 to 5.

Vulnerable Road User Casualties

1

Motorists Killed

Prior: 0→%

5

Motorists Injured

Prior: 7↓-28.6%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes remained Tuesday in both periods, though the number of crashes on Tuesdays decreased from 11 in May 2022 to 9 in May 2023. The peak hour for crashes shifted from 5 PM with 4 crashes in May 2022 to 7 AM with 5 crashes in May 2023.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes increased from 0 in May 2022 to 1 in May 2023, accounting for 3.4% of total crashes in the current period. Total injuries decreased from 7 to 5, with minor injury crashes increasing from 3 (7% of total crashes) to 4 (13.8% of total crashes). Serious injury crashes were reported in May 2022 (3 crashes, 7% of total) but not in May 2023, which instead reported 1 possible injury crash (3.4% of total).

Outcome by Severity (Crash Events)

Fatal1fatal crashes3.4%
Minor Injury4minor injury crashes13.8%
↑33.3%prior 3
Possible Injury1possible injury crashes3.4%
No Injury23no injury crashes79.3%
↓-32.4%prior 34

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · Most severe injury per crash record

Top Contributing Factors

The count of 'No improper driving' as a contributing factor decreased from 10 to 9, while its share of total crashes increased from 23.3% to 31%. 'Inattention' crashes decreased in count from 8 to 7, but its share rose from 18.6% to 24.1%. 'Followed too closely' decreased from 4 crashes to 3 crashes, a 25% reduction in count, with its share increasing from 9.3% to 10.3%.

Officer-Reported Primary Contributing Cause

No improper driving9 (31%)↓-10.0%prior 10
Inattention7 (24.1%)↓-12.5%prior 8
Followed too closely3 (10.3%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (6.9%)
Failure to keep in proper lane or running off road1 (3.4%)
Failed to yield right of way1 (3.4%)↓-83.3%prior 6
Disregarded traffic signs, signals, road markings1 (3.4%)
Other improper action1 (3.4%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (3.4%)
Fatigued/asleep1 (3.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather decreased from 41 in May 2022 to 23 in May 2023, while their proportion of total crashes fell from 95.3% to 79.3%. Crashes in rainy conditions increased from 1 to 2, and crashes on wet road surfaces increased from 1 to 4. Daylight crashes decreased from 31 to 22.

Weather

Clear23 (79.3%)
↓-43.9%prior 41
Cloudy2 (6.9%)
Rain2 (6.9%)
Cloudy/Rain1 (3.4%)
Rain/Other1 (3.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · Weather condition at time of crash

Lighting

Daylight22 (75.9%)
↓-29.0%prior 31
Dark - lighted roadway6 (20.7%)
Dawn1 (3.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · Lighting condition field

Road Surface

Dry25 (86.2%)
↓-40.5%prior 42
Wet4 (13.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased from 76 in May 2022 to 56 in May 2023. The 26-34 age group saw a decrease in persons involved from 22 to 14, while the 55-64 age group increased from 8 to 12 persons. Toyota became the most frequently involved vehicle make in May 2023 with 12 vehicles, up from 9 in May 2022, while Chevrolet's count decreased from 11 to 7.

Top Vehicle Makes (56 vehicles)

1
TOYOTA12 (21.4%)
↑33.3%prior 9
2
HONDA7 (12.5%)
↓-22.2%prior 9
3
CHEVROLET7 (12.5%)
↓-36.4%prior 11
4
FORD7 (12.5%)
↓-12.5%prior 8
5
JEEP4 (7.1%)
6
NISSAN3 (5.4%)
↓-72.7%prior 11
7
ACURA2 (3.6%)
8
KIA2 (3.6%)
9
MAZDA2 (3.6%)
10
HYUNDAI1 (1.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · Vehicle unit records

Sex Distribution (63 persons with recorded sex)

Female33 (52.4%)
↓-10.8%prior 37
Male30 (47.6%)
↓-37.5%prior 48

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 35 mph speed zones decreased from 15 to 12, and those in 65 mph zones decreased from 9 to 3. Notably, a fatal crash occurred in a 30 mph zone in May 2023, where no fatal crashes were recorded in any speed zone in May 2022.

Fatal crashes by zone: 30 mph: 1 of 7 (14.286%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · 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: 2023-05-01 through 2023-05-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-05-01 through 2023-05-31 (31 days)
  • Geographic scope: WEST BRIDGEWATER, MA
  • Total crash records analyzed: 29
  • Total persons involved: 63
  • Total vehicles involved: 56

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: May 2023." Published June 21, 2026. Reporting period: 2023-05-01 to 2023-05-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/west-bridgewater/may-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 — May 2023 | ThatCarHitMe.com