Monthly Traffic Safety Analysis

18 CRASHES IN
MARBLEHEAD, MA
AUGUST 2025

All metrics benchmarked againstAugust 2024

Total crashes in MARBLEHEAD decreased by 30.77% year-over-year, from 26 crashes in August 2024 to 18 crashes in August 2025. This reduction of 8 crashes was accompanied by a significant shift in crash severity, as fatal crashes increased from 0 to 1 during the same period. The overall trend indicates fewer total incidents but an increase in the most severe outcome.

18

-30.8%was 26

Total Crash Events

1

Persons Killed

3

50.0%was 2

Persons Injured

4

-33.3%was 6

Hit-and-Run Crashes

Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 3 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall crash incidents in MARBLEHEAD decreased notably, with total crashes falling from 26 in August 2024 to 18 in August 2025. This represents a 30.77% reduction in the number of crashes year-over-year. Despite this decline in total incidents, the period saw the emergence of a fatal crash.

4

Hit-and-Run Crashes — August 2025

-33.3% vs prior (6)

Hit-and-run crashes decreased from 6 in August 2024 to 4 in August 2025. The hit-and-run crash rate also saw a slight decrease, moving from 23.1% in the prior period to 22.2% in the current period. This indicates a downward trend in both the count and proportion of hit-and-run incidents.

Vulnerable Road User Casualties

0

Cyclists Killed

Prior: 00.0%

1

Motorists Killed

Prior: 0%

1

Cyclists Injured

Prior: 10.0%

2

Motorists Injured

Prior: 0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · 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 between the two periods. In August 2024, the peak day for crashes was Sunday with 6 incidents, while in August 2025, Tuesday became the peak day, also with 6 incidents. The peak hour for crashes also changed, moving from 10a with 4 crashes in the prior period to 8p with 4 crashes in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes increased from 0 in August 2024 to 1 in August 2025, resulting in a fatal crash rate of 5.6% for the current period. Total injuries saw a slight increase from 2 in August 2024 to 3 in August 2025. The prior period recorded 1 serious injury (3.8% of crashes) and 1 possible injury (3.8% of crashes), while the current period recorded 2 minor injuries (11.1% of crashes).

Outcome by Severity (Crash Events)

Fatal1fatal crashes5.6%
Minor Injury2minor injury crashes11.1%
No Injury12no injury crashes66.7%
-40.0%prior 20

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Most severe injury per crash record

Top Contributing Factors

Contributing factors saw several changes year-over-year. 'No improper driving' decreased from 11 crashes in August 2024 to 8 crashes in August 2025, a 27.3% decrease in count. 'Inattention' crashes decreased by 50% in count, from 4 to 2, and 'Failed to yield right of way' crashes decreased from 3 to 1, a 66.7% reduction in count. While 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' remained at 1 crash in both periods, 'Distracted' appeared as a factor in 1 crash in August 2025, whereas factors like 'Visibility obstructed' (2 crashes), 'Disregarded traffic signs, signals, road markings' (1 crash), and 'Other improper action' (1 crash) were only noted in August 2024.

Officer-Reported Primary Contributing Cause

No improper driving8 (44.4%)-27.3%prior 11
Inattention2 (11.1%)
Distracted1 (5.6%)
Failed to yield right of way1 (5.6%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (5.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather decreased from 18 in August 2024 to 14 in August 2025. The number of crashes on wet road surfaces remained consistent at 2 in both periods. A notable shift occurred in lighting conditions, with daylight crashes decreasing from 22 to 11, while crashes in dark-lighted roadway conditions increased from 3 to 7.

Weather

Clear14 (77.8%)
-22.2%prior 18
Clear/Cloudy1 (5.6%)
Cloudy1 (5.6%)
Cloudy/Rain1 (5.6%)
Rain/Cloudy1 (5.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Weather condition at time of crash

Lighting

Daylight11 (61.1%)
-50.0%prior 22
Dark - lighted roadway7 (38.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Lighting condition field

Road Surface

Dry16 (88.9%)
-27.3%prior 22
Wet2 (11.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (35 vehicles)

1
TOYOTA4 (11.4%)
-42.9%prior 7
2
HONDA4 (11.4%)
3
KIA3 (8.6%)
4
MAZDA3 (8.6%)
5
LNDR2 (5.7%)
6
BUIC2 (5.7%)
7
SUBARU2 (5.7%)
8
VOLKSWAGEN2 (5.7%)
9
FORD2 (5.7%)
10
VOLVO1 (2.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Vehicle unit records

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

Sex Distribution (24 persons with recorded sex)

Male14 (58.3%)
-17.6%prior 17
Female10 (41.7%)
-44.4%prior 18

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 25 mph speed limit zone decreased from 18 in August 2024 to 14 in August 2025. The prior period recorded 1 crash in the 30 mph zone, which was not present in the current period. Conversely, the current period recorded 1 fatal crash in the 35 mph zone, where no crashes were reported in the prior period.

Fatal crashes by zone: 35 mph: 1 of 1 (100%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · 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: 2025-08-01 through 2025-08-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-08-01 through 2025-08-31 (31 days)
  • Geographic scope: MARBLEHEAD, MA
  • Total crash records analyzed: 18
  • Total persons involved: 39
  • Total vehicles involved: 35

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: August 2025." Published June 21, 2026. Reporting period: 2025-08-01 to 2025-08-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/marblehead/august-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 — August 2025 | ThatCarHitMe.com