Monthly Traffic Safety Analysis

29 CRASHES IN
MARBLEHEAD, MA
FEBRUARY 2026

All metrics benchmarked againstFebruary 2025

In February 2026, Marblehead experienced 29 crashes, a 38.1% increase compared to the 21 crashes reported in February 2025. The most significant year-over-year shift was the increase in total injuries, rising from 0 in the prior period to 2 in the current period.

29

38.1%was 21

Total Crash Events

0

Persons Killed

2

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

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash data for February indicates an upward trend year-over-year, with total crashes increasing by 8, from 21 in February 2025 to 29 in February 2026. This represents a 38.1% rise in total crash incidents. While fatalities remained at zero in both periods, the number of injuries increased from 0 to 2.

5

Hit-and-Run Crashes — February 2026

0.0% vs prior (5)

The number of hit-and-run crashes remained consistent at 5 incidents in both February 2025 and February 2026. However, the hit-and-run rate decreased from 23.8% of all crashes in the prior period to 17.2% in the current period.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

2

Motorists Injured

Prior: 0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns of crashes shifted notably year-over-year. In February 2026, the peak day for crashes was Wednesday with 10 incidents, differing from February 2025 where Sunday was the peak day with 5 crashes. The peak hour also changed, moving from 3 PM with 3 crashes in the prior period to 1 PM with 8 crashes in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Outcome by Severity (Crash Events)

Possible Injury2possible injury crashes6.9%
No Injury23no injury crashes79.3%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Most severe injury per crash record

Top Contributing Factors

Comparing contributing factors, 'No improper driving' crashes increased from 11 in February 2025 to 14 in February 2026, while 'Inattention' crashes rose from 2 to 3. Factors like 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' (2 crashes) and 'Driving too fast for conditions' (1 crash) were present in the prior period but not among the top factors in the current period. Conversely, 'Visibility obstructed,' 'Other improper action,' and 'Failed to yield right of way' each accounted for 1 crash in the current period, not appearing in the prior period's top factors.

Officer-Reported Primary Contributing Cause

No improper driving14 (48.3%)27.3%prior 11
Inattention3 (10.3%)
Visibility obstructed1 (3.4%)
Other improper action1 (3.4%)
Failed to yield right of way1 (3.4%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (3.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Regarding conditions, crashes occurring in 'Clear' weather increased from 9 in February 2025 to 14 in February 2026, while 'Snow' conditions remained consistent at 3 crashes for both periods. Crashes occurring during 'Daylight' hours increased from 16 to 26, though 'Dark - lighted roadway' crashes remained at 2. A significant shift was observed in road surface conditions, with crashes on 'Snow' covered roads increasing from 5 to 14, and crashes on 'Dry' roads decreasing from 13 to 10.

Weather

Clear14 (48.3%)
55.6%prior 9
Clear/Unknown5 (17.2%)
Cloudy3 (10.3%)
Snow3 (10.3%)
Clear/Cloudy1 (3.4%)
Cloudy/Snow1 (3.4%)
Snow/Blowing sand, snow1 (3.4%)
Clear/Snow1 (3.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Weather condition at time of crash

Lighting

Daylight26 (89.7%)
62.5%prior 16
Dark - lighted roadway2 (6.9%)
Dawn1 (3.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Lighting condition field

Road Surface

Snow14 (48.3%)
180.0%prior 5
Dry10 (34.5%)
-23.1%prior 13
Wet5 (17.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (56 vehicles)

1
TOYOTA8 (14.3%)
2
FORD8 (14.3%)
3
HONDA6 (10.7%)
4
CHEVROLET3 (5.4%)
5
GMC2 (3.6%)
6
AUDI2 (3.6%)
7
SUBARU2 (3.6%)
8
LEXUS2 (3.6%)
9
BMW2 (3.6%)
10
INTL2 (3.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Vehicle unit records

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

Sex Distribution (43 persons with recorded sex)

Male27 (62.8%)
80.0%prior 15
Female16 (37.2%)
100.0%prior 8

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · Person-level records linked to crash events

Speed Limit Zones

The distribution of crashes across speed zones saw some changes year-over-year. Crashes in the 25 mph speed zone increased from 17 in February 2025 to 26 in February 2026. Crashes in the 20 mph and 35 mph zones remained constant at 2 and 1 respectively across both periods. There were no fatal crashes reported in any speed zone for either February 2025 or February 2026.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-02-01 to 2026-02-28 · 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: 2026-02-01 through 2026-02-28
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2026-02-01 through 2026-02-28 (28 days)
  • Geographic scope: MARBLEHEAD, MA
  • Total crash records analyzed: 29
  • Total persons involved: 60
  • 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). "MARBLEHEAD, MA Crash Intelligence Report: February 2026." Published June 21, 2026. Reporting period: 2026-02-01 to 2026-02-28. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/marblehead/february-2026-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 — February 2026 | ThatCarHitMe.com