Monthly Traffic Safety Analysis

24 CRASHES IN
MARBLEHEAD, MA
DECEMBER 2025

All metrics benchmarked againstDecember 2024

In December 2025, Marblehead experienced 24 total crashes, a 60% increase compared to the 15 crashes reported in December 2024. The total number of injuries also increased, rising from 2 in the prior period to 3 in the current period. A notable shift was the increase in 'Sideswipe, same direction' collisions, which rose from 2 in the prior year to 7 in the current year.

24

60.0%was 15

Total Crash Events

0

Persons Killed

3

50.0%was 2

Persons Injured

2

100.0%was 1

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. 2 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Total crashes in Marblehead increased significantly year-over-year, rising from 15 crashes in December 2024 to 24 crashes in December 2025. This represents a 60% increase in overall crash incidents. The number of injured persons also saw an increase, from 2 to 3.

2

Hit-and-Run Crashes — December 2025

100.0% vs prior (1)

Hit-and-run crashes increased from 1 in December 2024 to 2 in December 2025. The hit-and-run rate also rose from 6.7% in the prior period to 8.3% in the current period, indicating an upward trend in such incidents.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

3

Motorists Injured

Prior: 1200.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes remained Tuesday in both periods, with 6 crashes in December 2025 compared to 4 in December 2024. The peak crash hour shifted from 2 PM with 3 crashes in December 2024 to 1 PM with 5 crashes in December 2025. Crash counts in the 7 AM hour increased from 0 in the prior period to 3 in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes or fatalities reported in either December 2025 or December 2024. Total injuries increased from 2 in December 2024 to 3 in December 2025. The proportion of 'Possible Injury' crashes rose from 6.7% (1 crash) in the prior period to 8.3% (2 crashes) in the current period.

Outcome by Severity (Crash Events)

Possible Injury2possible injury crashes8.3%
100.0%prior 1
No Injury20no injury crashes83.3%
66.7%prior 12

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Most severe injury per crash record

Top Contributing Factors

The top contributing factor, 'No improper driving', increased in count from 3 crashes in December 2024 to 8 crashes in December 2025. 'Inattention' also saw an increase, rising from 2 crashes in the prior period to 4 crashes in the current period. Conversely, 'Distracted' crashes decreased from 2 in the prior period to 1 in the current period.

Officer-Reported Primary Contributing Cause

No improper driving8 (33.3%)
Inattention4 (16.7%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (4.2%)
Visibility obstructed1 (4.2%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (4.2%)
Distracted1 (4.2%)
Disregarded traffic signs, signals, road markings1 (4.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Daylight' conditions increased from 10 in December 2024 to 16 in December 2025. 'Dry' road surface crashes also rose from 10 to 15 between the two periods. Crashes on 'Dark - lighted roadway' decreased from 5 in the prior period to 4 in the current period.

Weather

Clear9 (37.5%)
0.0%prior 9
Cloudy3 (12.5%)
Clear/Cloudy3 (12.5%)
Clear/Unknown2 (8.3%)
Snow2 (8.3%)
Snow/Rain1 (4.2%)
Cloudy/Rain1 (4.2%)
Rain1 (4.2%)
Rain/Snow1 (4.2%)
Snow/Blowing sand, snow1 (4.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Weather condition at time of crash

Lighting

Daylight16 (66.7%)
60.0%prior 10
Dark - lighted roadway4 (16.7%)
-20.0%prior 5
Dusk2 (8.3%)
Dark - roadway not lighted1 (4.2%)
Dawn1 (4.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Lighting condition field

Road Surface

Dry15 (62.5%)
50.0%prior 10
Snow4 (16.7%)
Wet4 (16.7%)
Ice1 (4.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (47 vehicles)

1
FORD6 (12.8%)
2
TOYOTA5 (10.6%)
3
JEEP5 (10.6%)
4
HONDA4 (8.5%)
5
AUDI3 (6.4%)
6
MAZDA3 (6.4%)
7
VOLVO2 (4.3%)
8
CHEVROLET2 (4.3%)
9
SUBARU2 (4.3%)
10
VOLKSWAGEN2 (4.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Vehicle unit records

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

Sex Distribution (40 persons with recorded sex)

Male24 (60.0%)
50.0%prior 16
Female16 (40.0%)
60.0%prior 10

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 25 mph speed zones increased from 15 in December 2024 to 23 in December 2025. A new speed zone of 20 mph appeared in December 2025, accounting for 1 crash. There were no fatal crashes reported in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · 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: 2025-12-01 through 2025-12-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-12-01 through 2025-12-31 (31 days)
  • Geographic scope: MARBLEHEAD, MA
  • Total crash records analyzed: 24
  • Total persons involved: 52
  • Total vehicles involved: 47

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: December 2025." Published June 21, 2026. Reporting period: 2025-12-01 to 2025-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/marblehead/december-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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Marblehead, MA Crash Report — December 2025 | ThatCarHitMe.com