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YEAR-OVER-YEAR CRASH REPORT · WEST BRIDGEWATER, MA · 2022
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
471 CRASHES IN
WEST BRIDGEWATER, MA
2022
In 2022, West Bridgewater recorded 471 motor vehicle crashes, an increase of 13.0% from the 417 crashes documented in 2021. This rise was accompanied by an increase in total injuries from 143 to 150. The most significant year-over-year change was in traffic fatalities, which more than doubled from 2 in 2021 to 5 in 2022.
471
▲ 12.9%was 417
Total Crash Events
5
▲ 150.0%was 2
Persons Killed
150
▲ 4.9%was 143
Persons Injured
23
▲ 64.3%was 14
Hit-and-Run Crashes
Note: "Persons Killed" (5) counts individual fatalities across all crash events. "Fatal" in the severity table below (5) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 12 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
The overall trend in West Bridgewater shows a year-over-year increase across all major crash metrics. Total crashes rose by 13.0%, from 417 to 471. Concurrently, the number of individuals injured increased by 4.9% from 143 to 150, and the number of fatalities rose by 150% from 2 to 5.
23
Hit-and-Run Crashes — 2022
▲ 64.3% vs prior (14)
Hit-and-run incidents increased significantly in 2022. The total count of hit-and-run crashes rose from 14 in 2021 to 23 in 2022, representing a 64.3% increase. The hit-and-run rate, as a proportion of all crashes, also trended upwards, increasing from 3.4% to 4.9% year-over-year.
Vulnerable Road User Casualties
0
Pedestrians Killed
5
Motorists Killed
1
Pedestrians Injured
149
Motorists Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes showed some shifts between the two years. While Friday remained a peak day, it saw a substantial increase in incidents from 68 in 2021 to 98 in 2022, making it the definitive peak day of the week. The peak hour for crashes shifted slightly earlier, from 4 p.m. in 2021 (50 crashes) to 3 p.m. in 2022 (46 crashes).
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Crash severity worsened in 2022 compared to the prior year. The number of fatal crashes increased from 2 to 5, causing the fatal crash rate to more than double from 0.48 to 1.06 per 100 crashes. The total number of crashes involving any injury remained constant at 101 for both years, though the number of serious injury crashes increased slightly from 12 to 13. Consequently, the share of crashes with no reported injuries rose from 72.9% to 74.9%.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Most severe injury per crash record
Top Contributing Factors
While 'No improper driving' remained the most common primary factor listed for crashes in both periods, its count decreased from 157 to 145. Crashes attributed to 'Inattention' increased by 43.3% from 60 to 86. Similarly, crashes involving 'Failed to yield right of way' grew by 50% from 34 to 51, moving it from the fourth-ranked contributing factor in 2021 to the third in 2022.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crashes in both years predominantly occurred in clear weather and on dry roads, with the proportions remaining stable. In 2022, 82.4% of crashes were in clear weather and 85.3% were on dry roads, compared to 80.8% and 83.7% respectively in 2021. However, the number of crashes occurring on dark, unlighted roadways increased from 30 in 2021 to 43 in 2022.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Road surface condition field
Vehicles & Demographics
The top vehicle makes involved in crashes were largely consistent, with Toyota, Ford, and Honda leading in both years. The number of Hondas involved in crashes saw a notable increase from 72 to 104, moving it from the fourth to the second most frequent make. The 26-34 age group remained the most represented demographic among persons involved in crashes, with its count increasing from 154 to 185. The number of persons aged 0-15 involved in crashes also saw a significant rise, from 30 in 2021 to 76 in 2022.
Top Vehicle Makes (866 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Vehicle unit records
72 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (1,000 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Person-level records linked to crash events
Speed Limit Zones
Crash volumes increased in the city's most common speed zones. The 35 mph zone saw an increase from 157 to 177 crashes, and the 65 mph zone saw a rise from 78 to 100 crashes. Fatalities in the 65 mph zone increased from 1 in 2021 to 3 in 2022. Additionally, 2022 saw a fatal crash recorded in a 20 mph zone, a zone which had no fatal crashes in the prior year.
Fatal crashes by zone: 20 mph: 1 of 3 (33.333%) · 45 mph: 1 of 31 (3.226%) · 65 mph: 3 of 100 (3%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · 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: 2022-01-01 through 2022-12-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2022-01-01 through 2022-12-31 (365 days)
- Geographic scope: WEST BRIDGEWATER, MA
- Total crash records analyzed: 471
- Total persons involved: 1,082
- Total vehicles involved: 866
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: 2022." Published June 21, 2026. Reporting period: 2022-01-01 to 2022-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/west-bridgewater/2022-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: 2022-01-01 – 2022-12-31
Generated: June 21, 2026 · All rights reserved