ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · BROCKTON, MA · NOVEMBER 2025
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.
GET: https://thatcarhitme.com/api/crash-data/reports/data/massachusetts/brockton/november-2025-report
Monthly Traffic Safety Analysis
223 CRASHES IN
BROCKTON, MA
NOVEMBER 2025
In November 2025, BROCKTON, MA experienced 223 crashes, a 3.5% decrease compared to the 231 crashes reported in November 2024. Total fatalities significantly increased from 0 in the prior year to 4 in the current period, representing the most notable year-over-year shift. Injuries saw a slight increase, with 126 in the current period compared to 115 in the prior period.
223
▼ -3.5%was 231
Total Crash Events
4
Persons Killed
126
▲ 9.6%was 115
Persons Injured
11
▼ -21.4%was 14
Hit-and-Run Crashes
Note: "Persons Killed" (4) counts individual fatalities across all crash events. "Fatal" in the severity table below (2) 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 · 2025-11-01 to 2025-11-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall crash numbers in BROCKTON, MA showed a slight decrease, falling from 231 crashes in November 2024 to 223 crashes in November 2025, a reduction of 3.5%. Despite this decrease in total crashes, fatalities sharply increased from 0 to 4 year-over-year, indicating a concerning rise in crash severity. Total injuries also rose by 9.6%, from 115 to 126.
11
Hit-and-Run Crashes — November 2025
▼ -21.4% vs prior (14)
Hit-and-run crashes decreased from 14 in November 2024 to 11 in November 2025, representing a 21.4% reduction. The hit-and-run rate also decreased, falling from 6.1% in the prior period to 4.9% in the current period. This indicates a positive trend with fewer hit-and-run incidents year-over-year.
Vulnerable Road User Casualties
0
Pedestrians Killed
0
Cyclists Killed
4
Motorists Killed
10
Pedestrians Injured
1
Cyclists Injured
115
Motorists Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-11-01 to 2025-11-30 · 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 Friday with 42 crashes in November 2024 to Sunday with 42 crashes in November 2025. The peak hour remained 5 PM for both periods, though the count decreased from 24 crashes in the prior year to 21 crashes in the current year. Overall, daily crash distribution showed some shifts, with Mondays decreasing from 36 to 31 crashes and Saturdays decreasing from 33 to 23 crashes.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-11-01 to 2025-11-30 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-11-01 to 2025-11-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity distribution saw a significant change year-over-year, with 4 fatalities recorded in November 2025 compared to 0 fatalities in November 2024. Serious injuries decreased from 7 persons in the prior period to 3 persons in the current period. Minor injuries increased from 62 to 68 persons, and possible injuries increased from 46 to 55 persons.
Severity is per crash event (most severe injury). 2 fatal crash events resulted in 4 persons killed.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-11-01 to 2025-11-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-11-01 to 2025-11-30 · Most severe injury per crash record
Top Contributing Factors
The number of crashes attributed to 'No improper driving' decreased from 66 in November 2024 to 57 in November 2025, a 13.8% reduction. Crashes due to 'Failed to yield right of way' remained stable, with 50 in the prior period and 49 in the current period. 'Inattention' increased from 7 crashes to 9 crashes, while 'Disregarded traffic signs, signals, road markings' decreased from 10 to 6 crashes.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-11-01 to 2025-11-30 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crashes occurring in 'Clear' weather conditions decreased from 170 in November 2024 to 137 in November 2025. Crashes during 'Daylight' conditions decreased from 112 to 93, while crashes in 'Dark - lighted roadway' conditions slightly increased from 91 to 95. The number of crashes on 'Wet' road surfaces remained relatively stable, with 41 in the prior period and 42 in the current period.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-11-01 to 2025-11-30 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-11-01 to 2025-11-30 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-11-01 to 2025-11-30 · Road surface condition field
Vehicles & Demographics
The total number of vehicles involved in crashes decreased from 448 in November 2024 to 436 in November 2025. The top vehicle makes involved in crashes remained largely consistent, with Toyota and Honda leading in both periods. There was a slight increase in the 35-44 age group, from 114 persons in the prior year to 103 in the current year, and a decrease in the 26-34 age group from 112 to 94 persons.
Top Vehicle Makes (436 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-11-01 to 2025-11-30 · Vehicle unit records
61 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (507 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-11-01 to 2025-11-30 · Person-level records linked to crash events
Speed Limit Zones
Crashes occurring in the 30 mph speed zone slightly decreased from 193 in November 2024 to 190 in November 2025. Notably, the 30 mph zone recorded 2 fatal crashes in the current period, whereas no fatal crashes were recorded in this zone in the prior period. Crashes in the 65 mph zone decreased from 11 to 10 year-over-year.
Fatal crashes by zone: 30 mph: 2 of 190 (1.053%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-11-01 to 2025-11-30 · 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: 2025-11-01 through 2025-11-30
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2025-11-01 through 2025-11-30 (30 days)
- Geographic scope: BROCKTON, MA
- Total crash records analyzed: 223
- Total persons involved: 570
- Total vehicles involved: 436
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). "BROCKTON, MA Crash Intelligence Report: November 2025." Published June 21, 2026. Reporting period: 2025-11-01 to 2025-11-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/brockton/november-2025-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: 2025-11-01 – 2025-11-30
Generated: June 21, 2026 · All rights reserved