ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · EAST BRIDGEWATER, MA · OCTOBER 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.
Monthly Traffic Safety Analysis
35 CRASHES IN
EAST BRIDGEWATER, MA
OCTOBER 2022
Total crashes in EAST BRIDGEWATER, MA decreased from 36 in October 2021 to 35 in October 2022, a reduction of 2.8%. The most notable shift was a significant decrease in total injuries, which fell from 11 in the prior period to 6 in the current period, representing a 45.5% reduction. DUI-related crashes also saw a substantial increase, rising from 1 to 3 incidents.
35
▼ -2.8%was 36
Total Crash Events
0
Persons Killed
6
▼ -45.5%was 11
Persons Injured
5
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. 6 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall, the total number of crashes in EAST BRIDGEWATER, MA showed a slight decrease year-over-year, falling by 2.8% from 36 crashes in October 2021 to 35 crashes in October 2022. While total fatalities remained at 0 for both periods, total injuries decreased by 45.5%, from 11 in October 2021 to 6 in October 2022. This suggests a trend towards fewer injury-involved crashes despite a stable number of overall incidents.
5
Hit-and-Run Crashes — October 2022
▼ 0.0% vs prior (5)
The number of hit-and-run crashes remained stable at 5 incidents for both October 2021 and October 2022. The hit-and-run rate slightly increased from 13.9% of total crashes in the prior period to 14.3% in the current period. This indicates a relatively stable proportion of hit-and-run incidents despite a minor decrease in total crashes.
Vulnerable Road User Casualties
0
Motorists Killed
6
Motorists Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns for crashes shifted between the two periods. In October 2021, Monday was the peak day with 7 crashes, and 1 PM was the peak hour with 5 crashes. In October 2022, Sunday became the peak day with 12 crashes, and 8 PM was the peak hour with 6 crashes. This indicates a shift in crash concentration from weekdays and early afternoon to weekends and evening hours.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity distribution of crashes changed year-over-year, with a notable decrease in injuries. Minor injury crashes decreased from 5 (13.9% of total crashes) in October 2021 to 3 (8.6% of total crashes) in October 2022, a 40% reduction in count. Possible injury crashes remained stable at 2 for both periods, while crashes with no injuries increased slightly from 24 (66.7% of total crashes) to 24 (68.6% of total crashes). Fatal crashes remained at 0 in both periods.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Most severe injury per crash record
Top Contributing Factors
Comparing contributing factors, "Inattention" increased from 5 crashes in October 2021 to 6 crashes in October 2022, a 20% increase in count. "No improper driving" also increased from 5 to 6 crashes. "Failed to yield right of way" decreased from 4 crashes in the prior period to 3 crashes in the current period, a 25% reduction in count. "Operating vehicle in erratic, reckless, careless, negligent or aggressive manner" increased from 0 to 4 crashes, while "Followed too closely" increased from 0 to 3 crashes, and "Distracted" decreased from 3 crashes to 2 crashes.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Weather conditions remained largely consistent, with "Clear" conditions being dominant in both periods, accounting for 18 crashes in October 2021 and 21 crashes in October 2022. "Rain" crashes increased from 4 to 5, and "Cloudy" crashes remained stable at 4 and 5 respectively. Road surface conditions were also similar, with "Dry" conditions present in 27 crashes in October 2021 and 26 crashes in October 2022, and "Wet" conditions present in 9 crashes for both periods. Daylight crashes decreased from 20 in October 2021 to 17 in October 2022, while crashes in "Dark - lighted roadway" increased from 12 to 13.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Road surface condition field
Vehicles & Demographics
The total number of vehicles involved in crashes increased from 53 in October 2021 to 56 in October 2022. Toyota remained the top make involved in crashes, increasing from 11 to 14 vehicles. Ford also saw an increase from 8 to 9 vehicles, while Chevrolet decreased from 6 to 4 vehicles and GMC increased from 1 to 6 vehicles. Among persons involved, the 16-20 age group saw an increase from 8 to 13 individuals, and the 26-34 age group increased from 8 to 12 individuals.
Top Vehicle Makes (56 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Vehicle unit records
10 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (58 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Person-level records linked to crash events
Speed Limit Zones
Crashes in the 30 mph speed zone increased from 10 in October 2021 to 13 in October 2022. Crashes in the 40 mph speed zone decreased from 11 to 5. There was 1 crash in the 45 mph speed zone in October 2022, which was not present in October 2021. Fatal crashes remained at 0 across all speed zones in both periods.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · 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: 2022-10-01 through 2022-10-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2022-10-01 through 2022-10-31 (31 days)
- Geographic scope: EAST BRIDGEWATER, MA
- Total crash records analyzed: 35
- Total persons involved: 68
- 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). "EAST BRIDGEWATER, MA Crash Intelligence Report: October 2022." Published June 21, 2026. Reporting period: 2022-10-01 to 2022-10-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/east-bridgewater/october-2022-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: 2022-10-01 – 2022-10-31
Generated: June 21, 2026 · All rights reserved