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An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · WEST BRIDGEWATER, MA · 2023
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
Yearly Traffic Safety Analysis
495 CRASHES IN
WEST BRIDGEWATER, MA
2023
In West Bridgewater, total vehicle crashes increased by 5.1%, rising from 471 incidents in 2022 to 495 in 2023. Despite the growth in overall crashes and a 12% increase in injuries (from 150 to 168), the number of fatalities decreased from 5 in the prior year to 3 in the current period. The most notable shift was a substantial increase in crashes occurring on wet road surfaces, which nearly doubled from 53 to 99 incidents.
495
▲ 5.1%was 471
Total Crash Events
3
▼ -40.0%was 5
Persons Killed
168
▲ 12.0%was 150
Persons Injured
22
▼ -4.3%was 23
Hit-and-Run Crashes
Note: "Persons Killed" (3) counts individual fatalities across all crash events. "Fatal" in the severity table below (3) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 16 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall traffic crash trends in West Bridgewater show a mixed picture year-over-year. The total number of crashes rose from 471 to 495, an increase of 5.1%, and total injuries grew by 12% from 150 to 168. In contrast, traffic fatalities saw a significant 40% decrease, falling from 5 in 2022 to 3 in 2023.
22
Hit-and-Run Crashes — 2023
▼ -4.3% vs prior (23)
Hit-and-run incidents showed a slight downward trend. The total number of hit-and-run crashes decreased from 23 in 2022 to 22 in 2023. As a percentage of all crashes, the hit-and-run rate also declined, from 4.9% in the prior year to 4.4% in the current year.
Vulnerable Road User Casualties
0
Cyclists Killed
3
Motorists Killed
0
Other Killed
2
Cyclists Injured
165
Motorists Injured
1
Other Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The timing of crashes shifted between the two periods. In 2023, the peak day for crashes was Tuesday with 85 incidents, whereas in 2022, Friday was the peak day with 98 incidents. Similarly, the peak hour for crashes moved later in the day, from 3 p.m. (46 crashes) in 2022 to 5 p.m. (43 crashes) in 2023.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity of crashes saw a notable decrease year-over-year. The number of fatal crashes fell from 5 in 2022 to 3 in 2023, with the fatal crash rate dropping from 1.1% to 0.6% of all incidents. The count of serious injury crashes also declined from 13 to 10. Conversely, crashes resulting in minor injuries increased from 65 to 73.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Most severe injury per crash record
Top Contributing Factors
The leading contributing factors to crashes remained consistent, with 'Inattention' and 'Failed to yield right of way' ranking as top driver-related causes in both years after 'No improper driving'. The count of crashes attributed to 'Inattention' increased slightly from 86 to 90. Meanwhile, crashes involving 'Failure to keep in proper lane or running off road' saw a notable decrease in count, from 18 incidents in 2022 to 13 in 2023.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
There was a significant shift in the conditions under which crashes occurred. Crashes on wet roads increased by 87%, from 53 incidents in 2022 to 99 in 2023. Similarly, collisions in 'Dark - lighted roadway' conditions rose from 77 to 105. Crashes on dry roads, however, saw a slight decrease from 402 to 389 incidents.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Road surface condition field
Vehicles & Demographics
The top three vehicle makes involved in crashes remained Toyota, Ford, and Honda in both years, with Toyota's involvement increasing from 125 to 166 vehicles. The demographic profile of persons involved in crashes showed consistency, with the 26-34 age group being the most numerous in both 2022 (185 persons) and 2023 (199 persons). The 35-44 age group saw a notable increase in involvement, from 146 persons to 189 persons.
Top Vehicle Makes (917 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Vehicle unit records
48 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (1,061 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Person-level records linked to crash events
Speed Limit Zones
Crash distribution across speed zones showed some changes year-over-year. While crashes in 65 mph zones remained stable (100 in 2022 vs. 99 in 2023), there was a notable increase in crashes within 30 mph zones, which rose from 47 to 64. Fatal crashes in 65 mph zones decreased from 3 to 2, and 2023 saw one fatal crash in a 30 mph zone, a category that had zero fatalities in the prior year.
Fatal crashes by zone: 30 mph: 1 of 64 (1.563%) · 65 mph: 2 of 99 (2.02%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 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: 2023-01-01 through 2023-12-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2023-01-01 through 2023-12-31 (365 days)
- Geographic scope: WEST BRIDGEWATER, MA
- Total crash records analyzed: 495
- Total persons involved: 1,135
- Total vehicles involved: 917
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: 2023." Published June 21, 2026. Reporting period: 2023-01-01 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/2023-annual-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
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly
Period: 2023-01-01 – 2023-12-31
Generated: June 21, 2026 · All rights reserved