Monthly Traffic Safety Analysis

20 CRASHES IN
MARBLEHEAD, MA
DECEMBER 2022

All metrics benchmarked againstDecember 2021

In December 2022, MARBLEHEAD experienced 20 total crashes, a notable 33.3% decrease compared to the 30 crashes recorded in December 2021. The most significant year-over-year shift was a 50% reduction in hit-and-run crashes, falling from 4 to 2.

20

-33.3%was 30

Total Crash Events

0

Persons Killed

3

-25.0%was 4

Persons Injured

2

-50.0%was 4

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 · 2022-12-01 to 2022-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates a decrease in total crashes, with a 33.3% reduction from 30 crashes in December 2021 to 20 crashes in December 2022. This represents a significant decline in crash incidents year-over-year.

2

Hit-and-Run Crashes — December 2022

-50.0% vs prior (4)

Hit-and-run crashes decreased by 50% year-over-year, falling from 4 incidents in December 2021 to 2 in December 2022. Correspondingly, the hit-and-run rate decreased from 13.3% to 10%, indicating a downward trend in these types of incidents.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

3

Motorists Injured

Prior: 30.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · 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, though the number of crashes on Tuesdays decreased from 8 in December 2021 to 5 in December 2022. The peak crash hour shifted from 5 PM with 4 crashes in December 2021 to 11 AM with 4 crashes in December 2022, indicating a change in the highest frequency period of the day.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatalities reported in either December 2021 or December 2022. Total injuries decreased from 4 in December 2021 to 3 in December 2022, a 25% reduction. While minor injury crashes increased from 1 to 3, possible injury crashes, which accounted for 3 incidents in the prior period, were not present in the current period.

Outcome by Severity (Crash Events)

Minor Injury3minor injury crashes15%
200.0%prior 1
No Injury13no injury crashes65%
-35.0%prior 20

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Most severe injury per crash record

Top Contributing Factors

Crashes attributed to 'No improper driving' decreased from 15 in December 2021 to 7 in December 2022, a reduction of 8 crashes. Conversely, 'Inattention' related crashes increased by 1, from 2 to 3, and 'Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway' also increased by 1 crash, from 1 to 2. Factors such as 'Other improper action,' 'Failed to yield right of way,' 'Physical impairment,' and 'Visibility obstructed' each saw their crash counts drop to 0 in the current period from 1 or 2 in the prior period.

Officer-Reported Primary Contributing Cause

No improper driving7 (35%)-53.3%prior 15
Inattention3 (15%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway2 (10%)
Glare1 (5%)
Distracted1 (5%)
Fatigued/asleep1 (5%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (5%)
Followed too closely1 (5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

The number of crashes occurring in 'Clear' weather decreased from 18 in December 2021 to 10 in December 2022, while 'Cloudy' weather crashes also saw a slight decrease from 4 to 3. Similarly, crashes on 'Dry' road surfaces decreased from 24 to 16. There was a notable increase in crashes under 'Rain/Severe crosswinds' from 0 to 1, and 'Cloudy/Rain' conditions from 1 to 2.

Weather

Clear10 (52.6%)
-44.4%prior 18
Clear/Cloudy3 (15.8%)
Cloudy3 (15.8%)
Cloudy/Rain2 (10.5%)
Rain/Severe crosswinds1 (5.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Weather condition at time of crash

Lighting

Daylight13 (68.4%)
-18.8%prior 16
Dark - lighted roadway3 (15.8%)
-62.5%prior 8
Dark - roadway not lighted1 (5.3%)
Dark - unknown roadway lighting1 (5.3%)
Dusk1 (5.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Lighting condition field

Road Surface

Dry16 (84.2%)
-33.3%prior 24
Wet3 (15.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (35 vehicles)

1
HONDA7 (20%)
2
TOYOTA6 (17.1%)
-45.5%prior 11
3
FORD4 (11.4%)
4
AUDI2 (5.7%)
5
CHEVROLET2 (5.7%)
6
HYUNDAI2 (5.7%)
7
JEEP2 (5.7%)
-60.0%prior 5
8
ACURA1 (2.9%)
9
LEXUS1 (2.9%)
10
PORS1 (2.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Vehicle unit records

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

Sex Distribution (28 persons with recorded sex)

Female15 (53.6%)
-31.8%prior 22
Male13 (46.4%)
-43.5%prior 23

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 20 mph zones saw a substantial decrease, falling from 13 in December 2021 to 3 in December 2022. In contrast, crashes in 25 mph zones increased slightly from 5 to 6. There were no fatal crashes reported across any speed zone in either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-12-01 to 2022-12-31 · 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: 2022-12-01 through 2022-12-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-12-01 through 2022-12-31 (31 days)
  • Geographic scope: MARBLEHEAD, MA
  • Total crash records analyzed: 20
  • Total persons involved: 38
  • 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: December 2022." Published June 21, 2026. Reporting period: 2022-12-01 to 2022-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/marblehead/december-2022-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 2022 | ThatCarHitMe.com