Monthly Traffic Safety Analysis

12 CRASHES IN
MARBLEHEAD, MA
SEPTEMBER 2025

All metrics benchmarked againstSeptember 2024

Total crashes in MARBLEHEAD decreased by 20% year-over-year, from 15 crashes in September 2024 to 12 crashes in September 2025. This period saw a notable absence of hit-and-run crashes and DUI crashes, both of which were present in the prior year.

12

-20.0%was 15

Total Crash Events

0

Persons Killed

3

-25.0%was 4

Persons Injured

0

-100.0%was 3

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.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall crash trends for MARBLEHEAD show a decrease year-over-year, with total crashes falling by 20% from 15 to 12. Similarly, total injuries decreased by 25%, from 4 in September 2024 to 3 in September 2025.

Vulnerable Road User Casualties

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

0

Other Killed

Prior: 00.0%

1

Cyclists Injured

Prior: 0%

1

Motorists Injured

Prior: 4-75.0%

1

Other Injured

Prior: 0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · 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 Saturday in September 2024 (3 crashes) to Wednesday in September 2025 (4 crashes). The peak hour for crashes remained 2p in both periods, increasing slightly from 2 crashes in September 2024 to 3 crashes in September 2025. Notably, there were no crashes reported on Monday or Saturday in September 2025, compared to 3 crashes on each of those days in September 2024.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at 0 in both September 2024 and September 2025. Total injuries decreased from 4 in the prior period to 3 in the current period. Minor injury crashes saw a reduction from 4 to 1, while possible injury crashes, which were not recorded in the prior period, accounted for 2 crashes in September 2025.

Outcome by Severity (Crash Events)

Minor Injury1minor injury crashes8.3%
-75.0%prior 4
Possible Injury2possible injury crashes16.7%
No Injury9no injury crashes75%
0.0%prior 9

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Most severe injury per crash record

Top Contributing Factors

The number of crashes attributed to 'No improper driving' decreased from 8 in September 2024 to 5 in September 2025. Conversely, 'Inattention' emerged as a significant factor in September 2025, accounting for 4 crashes, whereas it was not listed as a factor in the prior period. Factors such as 'Disregarded traffic signs, signals, road markings' and 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner', which were present in September 2024 with 2 and 1 crash respectively, were not reported in September 2025.

Officer-Reported Primary Contributing Cause

No improper driving5 (41.7%)-37.5%prior 8
Inattention4 (33.3%)
Other improper action1 (8.3%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (8.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions decreased from 10 in September 2024 to 8 in September 2025. The prior period recorded 3 'Cloudy' weather crashes and 1 'Rain' crash, while the current period recorded 3 'Clear/Cloudy' and 1 'Cloudy/Rain' crash. The number of crashes on 'Dry' road surfaces decreased from 13 to 11, while 'Wet' road surface crashes remained constant at 1. Lighting conditions data was available for September 2024, showing 12 daylight crashes, but this data is not provided for September 2025.

Weather

Clear8 (66.7%)
-20.0%prior 10
Clear/Cloudy3 (25.0%)
Cloudy/Rain1 (8.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Weather condition at time of crash

Road Surface

Dry11 (91.7%)
-15.4%prior 13
Wet1 (8.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (21 vehicles)

1
TOYOTA5 (23.8%)
0.0%prior 5
2
FORD4 (19%)
3
JEEP3 (14.3%)
4
FRHT1 (4.8%)
5
LEXUS1 (4.8%)
6
MERCEDES-BENZ1 (4.8%)
7
PTRB1 (4.8%)
8
SUBARU1 (4.8%)
9
ACURA1 (4.8%)
10
VOLKSWAGEN1 (4.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Vehicle unit records

4 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (18 persons with recorded sex)

Male15 (83.3%)
7.1%prior 14
Female3 (16.7%)
-40.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 25 mph speed zone decreased from 11 in September 2024 to 8 in September 2025, and crashes in the 20 mph zone also decreased from 3 to 1. The 5 mph zone, which had 1 crash in the prior period, was not present in the current period. Conversely, new speed zones appeared in September 2025, with 1 crash each in the 10 mph, 30 mph, and 35 mph zones, which were not present in the prior period. No fatalities were recorded in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-09-01 to 2025-09-30 · 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: 2025-09-01 through 2025-09-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-09-01 through 2025-09-30 (30 days)
  • Geographic scope: MARBLEHEAD, MA
  • Total crash records analyzed: 12
  • Total persons involved: 23
  • Total vehicles involved: 21

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). "MARBLEHEAD, MA Crash Intelligence Report: September 2025." Published June 21, 2026. Reporting period: 2025-09-01 to 2025-09-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/marblehead/september-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

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